roblo3x / lora-3d-avatars
- Public
- 268 runs
-
H100
Prediction
roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fabIDpgekjm5s4hrma0ckt2zvmf75z0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- 3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, pink cheeks, pastel colors
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 1
- extra_lora_scale
- 1
- num_inference_steps
- 45
{ "image": "https://replicate.delivery/pbxt/M9hl4KXsfFRPTjwRgpAoYG9Eqk5XPkLzxKmjZ88nHh7MzSVA/avatar.png", "model": "dev", "prompt": "3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, pink cheeks, pastel colors", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 45 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", { input: { image: "https://replicate.delivery/pbxt/M9hl4KXsfFRPTjwRgpAoYG9Eqk5XPkLzxKmjZ88nHh7MzSVA/avatar.png", model: "dev", prompt: "3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, pink cheeks, pastel colors", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, output_quality: 80, prompt_strength: 1, extra_lora_scale: 1, num_inference_steps: 45 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", input={ "image": "https://replicate.delivery/pbxt/M9hl4KXsfFRPTjwRgpAoYG9Eqk5XPkLzxKmjZ88nHh7MzSVA/avatar.png", "model": "dev", "prompt": "3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, pink cheeks, pastel colors", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 45 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", "input": { "image": "https://replicate.delivery/pbxt/M9hl4KXsfFRPTjwRgpAoYG9Eqk5XPkLzxKmjZ88nHh7MzSVA/avatar.png", "model": "dev", "prompt": "3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, pink cheeks, pastel colors", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 45 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-16T18:34:16.439318Z", "created_at": "2024-12-16T18:34:05.988000Z", "data_removed": false, "error": null, "id": "pgekjm5s4hrma0ckt2zvmf75z0", "input": { "image": "https://replicate.delivery/pbxt/M9hl4KXsfFRPTjwRgpAoYG9Eqk5XPkLzxKmjZ88nHh7MzSVA/avatar.png", "model": "dev", "prompt": "3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, pink cheeks, pastel colors", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 45 }, "logs": "2024-12-16 18:34:06.261 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 18:34:06.262 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 91%|█████████▏| 278/304 [00:00<00:00, 2775.07it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2705.34it/s]\n2024-12-16 18:34:06.374 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=29080806354944\nDownloading weights\n2024-12-16T18:34:06Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpk96u7adj/weights url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar\n2024-12-16T18:34:06Z | INFO | [ Complete ] dest=/tmp/tmpk96u7adj/weights size=\"172 MB\" total_elapsed=0.532s url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar\nDownloaded weights in 0.56s\n2024-12-16 18:34:06.932 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c\n2024-12-16 18:34:07.007 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-16 18:34:07.007 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 18:34:07.007 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 280/304 [00:00<00:00, 2799.91it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2717.91it/s]\n2024-12-16 18:34:07.119 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 13412\nImage detected - settting to img2img mode\nInput image size: 384x384\nInput image size set to: 384x384\n0it [00:00, ?it/s]\n3it [00:00, 23.98it/s]\n6it [00:00, 22.14it/s]\n9it [00:00, 21.60it/s]\n12it [00:00, 21.34it/s]\n15it [00:00, 21.23it/s]\n18it [00:00, 21.16it/s]\n21it [00:00, 21.08it/s]\n24it [00:01, 21.07it/s]\n27it [00:01, 21.05it/s]\n30it [00:01, 21.04it/s]\n33it [00:01, 21.03it/s]\n36it [00:01, 21.00it/s]\n39it [00:01, 21.01it/s]\n42it [00:01, 20.94it/s]\n45it [00:02, 20.97it/s]\n45it [00:02, 21.16it/s]\n0it [00:00, ?it/s]\n3it [00:00, 21.11it/s]\n6it [00:00, 21.08it/s]\n9it [00:00, 21.07it/s]\n12it [00:00, 21.07it/s]\n15it [00:00, 21.05it/s]\n18it [00:00, 21.05it/s]\n21it [00:00, 21.06it/s]\n24it [00:01, 21.03it/s]\n27it [00:01, 21.05it/s]\n30it [00:01, 21.04it/s]\n33it [00:01, 21.01it/s]\n36it [00:01, 21.04it/s]\n39it [00:01, 21.04it/s]\n42it [00:02, 20.51it/s]\n45it [00:02, 20.60it/s]\n45it [00:02, 20.91it/s]\n0it [00:00, ?it/s]\n3it [00:00, 21.11it/s]\n6it [00:00, 21.04it/s]\n9it [00:00, 20.80it/s]\n12it [00:00, 20.90it/s]\n15it [00:00, 20.95it/s]\n18it [00:00, 21.00it/s]\n21it [00:01, 21.01it/s]\n24it [00:01, 21.01it/s]\n27it [00:01, 21.02it/s]\n30it [00:01, 20.99it/s]\n33it [00:01, 21.03it/s]\n36it [00:01, 21.04it/s]\n39it [00:01, 21.05it/s]\n42it [00:01, 21.06it/s]\n45it [00:02, 20.98it/s]\n45it [00:02, 20.99it/s]\n0it [00:00, ?it/s]\n3it [00:00, 20.86it/s]\n6it [00:00, 20.76it/s]\n9it [00:00, 20.85it/s]\n12it [00:00, 21.09it/s]\n15it [00:00, 21.10it/s]\n18it [00:00, 21.09it/s]\n21it [00:00, 21.08it/s]\n24it [00:01, 21.08it/s]\n27it [00:01, 21.01it/s]\n30it [00:01, 21.04it/s]\n33it [00:01, 21.07it/s]\n36it [00:01, 21.09it/s]\n39it [00:01, 21.09it/s]\n42it [00:01, 21.11it/s]\n45it [00:02, 21.11it/s]\n45it [00:02, 21.06it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 10.386273242, "total_time": 10.451318 }, "output": [ "https://replicate.delivery/xezq/T3fnOLJjNBwGUq2TokehnlfC8ZQp01mqXgBZUBYVfwsiKJuPB/out-0.webp", "https://replicate.delivery/xezq/gdTn3sg6rnpoMlECeH2HDdUwO3nnGoESM1rpukSSHiOUJx9JA/out-1.webp", "https://replicate.delivery/xezq/eaoB7K8OfRmvJ0dG8Ej1bRuSkg6Vpwjoi3swlVXZLPEoSi7TA/out-2.webp", "https://replicate.delivery/xezq/GDXYtHa3aOKtOdzZYT1LgbolrAsLQnaaxrPZA8pvZgIqk4eJA/out-3.webp" ], "started_at": "2024-12-16T18:34:06.053044Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-fz3hg4l7n6f4zpnofr2jovigkpypejeeo7moudkvuuozh2az7wma", "get": "https://api.replicate.com/v1/predictions/pgekjm5s4hrma0ckt2zvmf75z0", "cancel": "https://api.replicate.com/v1/predictions/pgekjm5s4hrma0ckt2zvmf75z0/cancel" }, "version": "f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab" }
Generated in2024-12-16 18:34:06.261 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 18:34:06.262 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 91%|█████████▏| 278/304 [00:00<00:00, 2775.07it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2705.34it/s] 2024-12-16 18:34:06.374 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s free=29080806354944 Downloading weights 2024-12-16T18:34:06Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpk96u7adj/weights url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar 2024-12-16T18:34:06Z | INFO | [ Complete ] dest=/tmp/tmpk96u7adj/weights size="172 MB" total_elapsed=0.532s url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar Downloaded weights in 0.56s 2024-12-16 18:34:06.932 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c 2024-12-16 18:34:07.007 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2024-12-16 18:34:07.007 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 18:34:07.007 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 92%|█████████▏| 280/304 [00:00<00:00, 2799.91it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2717.91it/s] 2024-12-16 18:34:07.119 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s Using seed: 13412 Image detected - settting to img2img mode Input image size: 384x384 Input image size set to: 384x384 0it [00:00, ?it/s] 3it [00:00, 23.98it/s] 6it [00:00, 22.14it/s] 9it [00:00, 21.60it/s] 12it [00:00, 21.34it/s] 15it [00:00, 21.23it/s] 18it [00:00, 21.16it/s] 21it [00:00, 21.08it/s] 24it [00:01, 21.07it/s] 27it [00:01, 21.05it/s] 30it [00:01, 21.04it/s] 33it [00:01, 21.03it/s] 36it [00:01, 21.00it/s] 39it [00:01, 21.01it/s] 42it [00:01, 20.94it/s] 45it [00:02, 20.97it/s] 45it [00:02, 21.16it/s] 0it [00:00, ?it/s] 3it [00:00, 21.11it/s] 6it [00:00, 21.08it/s] 9it [00:00, 21.07it/s] 12it [00:00, 21.07it/s] 15it [00:00, 21.05it/s] 18it [00:00, 21.05it/s] 21it [00:00, 21.06it/s] 24it [00:01, 21.03it/s] 27it [00:01, 21.05it/s] 30it [00:01, 21.04it/s] 33it [00:01, 21.01it/s] 36it [00:01, 21.04it/s] 39it [00:01, 21.04it/s] 42it [00:02, 20.51it/s] 45it [00:02, 20.60it/s] 45it [00:02, 20.91it/s] 0it [00:00, ?it/s] 3it [00:00, 21.11it/s] 6it [00:00, 21.04it/s] 9it [00:00, 20.80it/s] 12it [00:00, 20.90it/s] 15it [00:00, 20.95it/s] 18it [00:00, 21.00it/s] 21it [00:01, 21.01it/s] 24it [00:01, 21.01it/s] 27it [00:01, 21.02it/s] 30it [00:01, 20.99it/s] 33it [00:01, 21.03it/s] 36it [00:01, 21.04it/s] 39it [00:01, 21.05it/s] 42it [00:01, 21.06it/s] 45it [00:02, 20.98it/s] 45it [00:02, 20.99it/s] 0it [00:00, ?it/s] 3it [00:00, 20.86it/s] 6it [00:00, 20.76it/s] 9it [00:00, 20.85it/s] 12it [00:00, 21.09it/s] 15it [00:00, 21.10it/s] 18it [00:00, 21.09it/s] 21it [00:00, 21.08it/s] 24it [00:01, 21.08it/s] 27it [00:01, 21.01it/s] 30it [00:01, 21.04it/s] 33it [00:01, 21.07it/s] 36it [00:01, 21.09it/s] 39it [00:01, 21.09it/s] 42it [00:01, 21.11it/s] 45it [00:02, 21.11it/s] 45it [00:02, 21.06it/s] Total safe images: 4 out of 4
Prediction
roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fabIDws90kjk9gsrma0ckt30sma5648StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- 3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, green hair, pink cheeks, pastel colors
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 1
- extra_lora_scale
- 1
- num_inference_steps
- 45
{ "model": "dev", "prompt": "3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, green hair, pink cheeks, pastel colors", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 45 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", { input: { model: "dev", prompt: "3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, green hair, pink cheeks, pastel colors", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, output_quality: 80, prompt_strength: 1, extra_lora_scale: 1, num_inference_steps: 45 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", input={ "model": "dev", "prompt": "3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, green hair, pink cheeks, pastel colors", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 45 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", "input": { "model": "dev", "prompt": "3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, green hair, pink cheeks, pastel colors", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 45 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-16T18:36:36.706670Z", "created_at": "2024-12-16T18:35:56.678000Z", "data_removed": false, "error": null, "id": "ws90kjk9gsrma0ckt30sma5648", "input": { "model": "dev", "prompt": "3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, green hair, pink cheeks, pastel colors", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 45 }, "logs": "2024-12-16 18:35:56.921 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 18:35:56.922 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2782.17it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2680.84it/s]\n2024-12-16 18:35:57.035 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=29099672117248\nDownloading weights\n2024-12-16T18:35:57Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp6lf9ng6b/weights url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar\n2024-12-16T18:35:58Z | INFO | [ Complete ] dest=/tmp/tmp6lf9ng6b/weights size=\"172 MB\" total_elapsed=1.376s url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar\nDownloaded weights in 1.40s\n2024-12-16 18:35:58.437 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c\n2024-12-16 18:35:58.518 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-16 18:35:58.518 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 18:35:58.518 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2783.12it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2681.44it/s]\n2024-12-16 18:35:58.632 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.2s\nUsing seed: 10031\n0it [00:00, ?it/s]\n1it [00:00, 8.36it/s]\n2it [00:00, 5.88it/s]\n3it [00:00, 5.36it/s]\n4it [00:00, 5.15it/s]\n5it [00:00, 5.03it/s]\n6it [00:01, 4.94it/s]\n7it [00:01, 4.91it/s]\n8it [00:01, 4.89it/s]\n9it [00:01, 4.87it/s]\n10it [00:01, 4.86it/s]\n11it [00:02, 4.85it/s]\n12it [00:02, 4.85it/s]\n13it [00:02, 4.84it/s]\n14it [00:02, 4.83it/s]\n15it [00:03, 4.83it/s]\n16it [00:03, 4.83it/s]\n17it [00:03, 4.84it/s]\n18it [00:03, 4.84it/s]\n19it [00:03, 4.84it/s]\n20it [00:04, 4.83it/s]\n21it [00:04, 4.83it/s]\n22it [00:04, 4.82it/s]\n23it [00:04, 4.83it/s]\n24it [00:04, 4.83it/s]\n25it [00:05, 4.83it/s]\n26it [00:05, 4.82it/s]\n27it [00:05, 4.82it/s]\n28it [00:05, 4.82it/s]\n29it [00:05, 4.82it/s]\n30it [00:06, 4.82it/s]\n31it [00:06, 4.82it/s]\n32it [00:06, 4.82it/s]\n33it [00:06, 4.82it/s]\n34it [00:06, 4.83it/s]\n35it [00:07, 4.83it/s]\n36it [00:07, 4.82it/s]\n37it [00:07, 4.82it/s]\n38it [00:07, 4.82it/s]\n39it [00:07, 4.83it/s]\n40it [00:08, 4.83it/s]\n41it [00:08, 4.83it/s]\n42it [00:08, 4.82it/s]\n43it [00:08, 4.82it/s]\n44it [00:09, 4.82it/s]\n45it [00:09, 4.83it/s]\n45it [00:09, 4.87it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.87it/s]\n2it [00:00, 4.84it/s]\n3it [00:00, 4.82it/s]\n4it [00:00, 4.81it/s]\n5it [00:01, 4.81it/s]\n6it [00:01, 4.81it/s]\n7it [00:01, 4.81it/s]\n8it [00:01, 4.82it/s]\n9it [00:01, 4.82it/s]\n10it [00:02, 4.82it/s]\n11it [00:02, 4.82it/s]\n12it [00:02, 4.82it/s]\n13it [00:02, 4.81it/s]\n14it [00:02, 4.81it/s]\n15it [00:03, 4.81it/s]\n16it [00:03, 4.81it/s]\n17it [00:03, 4.81it/s]\n18it [00:03, 4.81it/s]\n19it [00:03, 4.80it/s]\n20it [00:04, 4.81it/s]\n21it [00:04, 4.81it/s]\n22it [00:04, 4.81it/s]\n23it [00:04, 4.81it/s]\n24it [00:04, 4.82it/s]\n25it [00:05, 4.82it/s]\n26it [00:05, 4.82it/s]\n27it [00:05, 4.82it/s]\n28it [00:05, 4.81it/s]\n29it [00:06, 4.81it/s]\n30it [00:06, 4.81it/s]\n31it [00:06, 4.82it/s]\n32it [00:06, 4.82it/s]\n33it [00:06, 4.82it/s]\n34it [00:07, 4.82it/s]\n35it [00:07, 4.82it/s]\n36it [00:07, 4.83it/s]\n37it [00:07, 4.83it/s]\n38it [00:07, 4.83it/s]\n39it [00:08, 4.82it/s]\n40it [00:08, 4.82it/s]\n41it [00:08, 4.81it/s]\n42it [00:08, 4.82it/s]\n43it [00:08, 4.82it/s]\n44it [00:09, 4.82it/s]\n45it [00:09, 4.82it/s]\n45it [00:09, 4.82it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.84it/s]\n2it [00:00, 4.83it/s]\n3it [00:00, 4.84it/s]\n4it [00:00, 4.83it/s]\n5it [00:01, 4.83it/s]\n6it [00:01, 4.82it/s]\n7it [00:01, 4.81it/s]\n8it [00:01, 4.82it/s]\n9it [00:01, 4.82it/s]\n10it [00:02, 4.82it/s]\n11it [00:02, 4.82it/s]\n12it [00:02, 4.82it/s]\n13it [00:02, 4.82it/s]\n14it [00:02, 4.82it/s]\n15it [00:03, 4.82it/s]\n16it [00:03, 4.81it/s]\n17it [00:03, 4.81it/s]\n18it [00:03, 4.81it/s]\n19it [00:03, 4.80it/s]\n20it [00:04, 4.81it/s]\n21it [00:04, 4.81it/s]\n22it [00:04, 4.81it/s]\n23it [00:04, 4.80it/s]\n24it [00:04, 4.80it/s]\n25it [00:05, 4.80it/s]\n26it [00:05, 4.80it/s]\n27it [00:05, 4.81it/s]\n28it [00:05, 4.81it/s]\n29it [00:06, 4.81it/s]\n30it [00:06, 4.81it/s]\n31it [00:06, 4.81it/s]\n32it [00:06, 4.82it/s]\n33it [00:06, 4.82it/s]\n34it [00:07, 4.82it/s]\n35it [00:07, 4.81it/s]\n36it [00:07, 4.81it/s]\n37it [00:07, 4.81it/s]\n38it [00:07, 4.81it/s]\n39it [00:08, 4.81it/s]\n40it [00:08, 4.81it/s]\n41it [00:08, 4.80it/s]\n42it [00:08, 4.81it/s]\n43it [00:08, 4.81it/s]\n44it [00:09, 4.82it/s]\n45it [00:09, 4.82it/s]\n45it [00:09, 4.81it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.82it/s]\n2it [00:00, 4.80it/s]\n3it [00:00, 4.81it/s]\n4it [00:00, 4.81it/s]\n5it [00:01, 4.80it/s]\n6it [00:01, 4.80it/s]\n7it [00:01, 4.80it/s]\n8it [00:01, 4.80it/s]\n9it [00:01, 4.80it/s]\n10it [00:02, 4.80it/s]\n11it [00:02, 4.80it/s]\n12it [00:02, 4.81it/s]\n13it [00:02, 4.80it/s]\n14it [00:02, 4.81it/s]\n15it [00:03, 4.81it/s]\n16it [00:03, 4.81it/s]\n17it [00:03, 4.81it/s]\n18it [00:03, 4.81it/s]\n19it [00:03, 4.81it/s]\n20it [00:04, 4.81it/s]\n21it [00:04, 4.81it/s]\n22it [00:04, 4.81it/s]\n23it [00:04, 4.80it/s]\n24it [00:04, 4.81it/s]\n25it [00:05, 4.81it/s]\n26it [00:05, 4.81it/s]\n27it [00:05, 4.81it/s]\n28it [00:05, 4.81it/s]\n29it [00:06, 4.81it/s]\n30it [00:06, 4.81it/s]\n31it [00:06, 4.80it/s]\n32it [00:06, 4.80it/s]\n33it [00:06, 4.80it/s]\n34it [00:07, 4.80it/s]\n35it [00:07, 4.80it/s]\n36it [00:07, 4.80it/s]\n37it [00:07, 4.81it/s]\n38it [00:07, 4.80it/s]\n39it [00:08, 4.80it/s]\n40it [00:08, 4.81it/s]\n41it [00:08, 4.80it/s]\n42it [00:08, 4.80it/s]\n43it [00:08, 4.80it/s]\n44it [00:09, 4.80it/s]\n45it [00:09, 4.80it/s]\n45it [00:09, 4.80it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 39.784083505, "total_time": 40.02867 }, "output": [ "https://replicate.delivery/xezq/09qjBIDTt7r5FhV7HM4RyPdFRx7eqCcMMFfpXJzh11O0Ui7TA/out-0.webp", "https://replicate.delivery/xezq/7Uy7uMBxl66NIlxQei2mpXUhNJhs2dr3CKQOcVT8PoNaKx9JA/out-1.webp", "https://replicate.delivery/xezq/6vZlAwXMGVafdaSV7s841LbfPHta2oGaDQielCXm8oSppE3nA/out-2.webp", "https://replicate.delivery/xezq/muRhII7B5GZ0OZhL1fieekvW3D6ekrcHbTShpXzLnJKSTJuPB/out-3.webp" ], "started_at": "2024-12-16T18:35:56.922586Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-rqkmotpgpp5cowdxesplaaizhrqcghjo7tf2rdyczlphizu7d5fq", "get": "https://api.replicate.com/v1/predictions/ws90kjk9gsrma0ckt30sma5648", "cancel": "https://api.replicate.com/v1/predictions/ws90kjk9gsrma0ckt30sma5648/cancel" }, "version": "f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab" }
Generated in2024-12-16 18:35:56.921 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 18:35:56.922 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2782.17it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2680.84it/s] 2024-12-16 18:35:57.035 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s free=29099672117248 Downloading weights 2024-12-16T18:35:57Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp6lf9ng6b/weights url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar 2024-12-16T18:35:58Z | INFO | [ Complete ] dest=/tmp/tmp6lf9ng6b/weights size="172 MB" total_elapsed=1.376s url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar Downloaded weights in 1.40s 2024-12-16 18:35:58.437 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c 2024-12-16 18:35:58.518 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2024-12-16 18:35:58.518 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 18:35:58.518 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2783.12it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2681.44it/s] 2024-12-16 18:35:58.632 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.2s Using seed: 10031 0it [00:00, ?it/s] 1it [00:00, 8.36it/s] 2it [00:00, 5.88it/s] 3it [00:00, 5.36it/s] 4it [00:00, 5.15it/s] 5it [00:00, 5.03it/s] 6it [00:01, 4.94it/s] 7it [00:01, 4.91it/s] 8it [00:01, 4.89it/s] 9it [00:01, 4.87it/s] 10it [00:01, 4.86it/s] 11it [00:02, 4.85it/s] 12it [00:02, 4.85it/s] 13it [00:02, 4.84it/s] 14it [00:02, 4.83it/s] 15it [00:03, 4.83it/s] 16it [00:03, 4.83it/s] 17it [00:03, 4.84it/s] 18it [00:03, 4.84it/s] 19it [00:03, 4.84it/s] 20it [00:04, 4.83it/s] 21it [00:04, 4.83it/s] 22it [00:04, 4.82it/s] 23it [00:04, 4.83it/s] 24it [00:04, 4.83it/s] 25it [00:05, 4.83it/s] 26it [00:05, 4.82it/s] 27it [00:05, 4.82it/s] 28it [00:05, 4.82it/s] 29it [00:05, 4.82it/s] 30it [00:06, 4.82it/s] 31it [00:06, 4.82it/s] 32it [00:06, 4.82it/s] 33it [00:06, 4.82it/s] 34it [00:06, 4.83it/s] 35it [00:07, 4.83it/s] 36it [00:07, 4.82it/s] 37it [00:07, 4.82it/s] 38it [00:07, 4.82it/s] 39it [00:07, 4.83it/s] 40it [00:08, 4.83it/s] 41it [00:08, 4.83it/s] 42it [00:08, 4.82it/s] 43it [00:08, 4.82it/s] 44it [00:09, 4.82it/s] 45it [00:09, 4.83it/s] 45it [00:09, 4.87it/s] 0it [00:00, ?it/s] 1it [00:00, 4.87it/s] 2it [00:00, 4.84it/s] 3it [00:00, 4.82it/s] 4it [00:00, 4.81it/s] 5it [00:01, 4.81it/s] 6it [00:01, 4.81it/s] 7it [00:01, 4.81it/s] 8it [00:01, 4.82it/s] 9it [00:01, 4.82it/s] 10it [00:02, 4.82it/s] 11it [00:02, 4.82it/s] 12it [00:02, 4.82it/s] 13it [00:02, 4.81it/s] 14it [00:02, 4.81it/s] 15it [00:03, 4.81it/s] 16it [00:03, 4.81it/s] 17it [00:03, 4.81it/s] 18it [00:03, 4.81it/s] 19it [00:03, 4.80it/s] 20it [00:04, 4.81it/s] 21it [00:04, 4.81it/s] 22it [00:04, 4.81it/s] 23it [00:04, 4.81it/s] 24it [00:04, 4.82it/s] 25it [00:05, 4.82it/s] 26it [00:05, 4.82it/s] 27it [00:05, 4.82it/s] 28it [00:05, 4.81it/s] 29it [00:06, 4.81it/s] 30it [00:06, 4.81it/s] 31it [00:06, 4.82it/s] 32it [00:06, 4.82it/s] 33it [00:06, 4.82it/s] 34it [00:07, 4.82it/s] 35it [00:07, 4.82it/s] 36it [00:07, 4.83it/s] 37it [00:07, 4.83it/s] 38it [00:07, 4.83it/s] 39it [00:08, 4.82it/s] 40it [00:08, 4.82it/s] 41it [00:08, 4.81it/s] 42it [00:08, 4.82it/s] 43it [00:08, 4.82it/s] 44it [00:09, 4.82it/s] 45it [00:09, 4.82it/s] 45it [00:09, 4.82it/s] 0it [00:00, ?it/s] 1it [00:00, 4.84it/s] 2it [00:00, 4.83it/s] 3it [00:00, 4.84it/s] 4it [00:00, 4.83it/s] 5it [00:01, 4.83it/s] 6it [00:01, 4.82it/s] 7it [00:01, 4.81it/s] 8it [00:01, 4.82it/s] 9it [00:01, 4.82it/s] 10it [00:02, 4.82it/s] 11it [00:02, 4.82it/s] 12it [00:02, 4.82it/s] 13it [00:02, 4.82it/s] 14it [00:02, 4.82it/s] 15it [00:03, 4.82it/s] 16it [00:03, 4.81it/s] 17it [00:03, 4.81it/s] 18it [00:03, 4.81it/s] 19it [00:03, 4.80it/s] 20it [00:04, 4.81it/s] 21it [00:04, 4.81it/s] 22it [00:04, 4.81it/s] 23it [00:04, 4.80it/s] 24it [00:04, 4.80it/s] 25it [00:05, 4.80it/s] 26it [00:05, 4.80it/s] 27it [00:05, 4.81it/s] 28it [00:05, 4.81it/s] 29it [00:06, 4.81it/s] 30it [00:06, 4.81it/s] 31it [00:06, 4.81it/s] 32it [00:06, 4.82it/s] 33it [00:06, 4.82it/s] 34it [00:07, 4.82it/s] 35it [00:07, 4.81it/s] 36it [00:07, 4.81it/s] 37it [00:07, 4.81it/s] 38it [00:07, 4.81it/s] 39it [00:08, 4.81it/s] 40it [00:08, 4.81it/s] 41it [00:08, 4.80it/s] 42it [00:08, 4.81it/s] 43it [00:08, 4.81it/s] 44it [00:09, 4.82it/s] 45it [00:09, 4.82it/s] 45it [00:09, 4.81it/s] 0it [00:00, ?it/s] 1it [00:00, 4.82it/s] 2it [00:00, 4.80it/s] 3it [00:00, 4.81it/s] 4it [00:00, 4.81it/s] 5it [00:01, 4.80it/s] 6it [00:01, 4.80it/s] 7it [00:01, 4.80it/s] 8it [00:01, 4.80it/s] 9it [00:01, 4.80it/s] 10it [00:02, 4.80it/s] 11it [00:02, 4.80it/s] 12it [00:02, 4.81it/s] 13it [00:02, 4.80it/s] 14it [00:02, 4.81it/s] 15it [00:03, 4.81it/s] 16it [00:03, 4.81it/s] 17it [00:03, 4.81it/s] 18it [00:03, 4.81it/s] 19it [00:03, 4.81it/s] 20it [00:04, 4.81it/s] 21it [00:04, 4.81it/s] 22it [00:04, 4.81it/s] 23it [00:04, 4.80it/s] 24it [00:04, 4.81it/s] 25it [00:05, 4.81it/s] 26it [00:05, 4.81it/s] 27it [00:05, 4.81it/s] 28it [00:05, 4.81it/s] 29it [00:06, 4.81it/s] 30it [00:06, 4.81it/s] 31it [00:06, 4.80it/s] 32it [00:06, 4.80it/s] 33it [00:06, 4.80it/s] 34it [00:07, 4.80it/s] 35it [00:07, 4.80it/s] 36it [00:07, 4.80it/s] 37it [00:07, 4.81it/s] 38it [00:07, 4.80it/s] 39it [00:08, 4.80it/s] 40it [00:08, 4.81it/s] 41it [00:08, 4.80it/s] 42it [00:08, 4.80it/s] 43it [00:08, 4.80it/s] 44it [00:09, 4.80it/s] 45it [00:09, 4.80it/s] 45it [00:09, 4.80it/s] Total safe images: 4 out of 4
Prediction
roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fabIDacbgezgf15rmc0ckt31sqrzxw8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- 3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, green hair with fluffy texture, pink cheeks, pastel colors
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 1
- extra_lora_scale
- 1
- num_inference_steps
- 45
{ "model": "dev", "prompt": "3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, green hair with fluffy texture, pink cheeks, pastel colors", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 45 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", { input: { model: "dev", prompt: "3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, green hair with fluffy texture, pink cheeks, pastel colors", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, output_quality: 80, prompt_strength: 1, extra_lora_scale: 1, num_inference_steps: 45 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", input={ "model": "dev", "prompt": "3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, green hair with fluffy texture, pink cheeks, pastel colors", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 45 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", "input": { "model": "dev", "prompt": "3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, green hair with fluffy texture, pink cheeks, pastel colors", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 45 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-16T18:38:26.405868Z", "created_at": "2024-12-16T18:37:44.585000Z", "data_removed": false, "error": null, "id": "acbgezgf15rmc0ckt31sqrzxw8", "input": { "model": "dev", "prompt": "3D female character design, simple minimal cute cartoon style, headshot, tanned skin, small ears and nose, green hair with fluffy texture, pink cheeks, pastel colors", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 45 }, "logs": "2024-12-16 18:37:44.780 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 18:37:44.780 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 94%|█████████▍| 287/304 [00:00<00:00, 2858.37it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2745.77it/s]\n2024-12-16 18:37:44.891 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=29148274483200\nDownloading weights\n2024-12-16T18:37:44Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp0lladd3t/weights url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar\n2024-12-16T18:37:47Z | INFO | [ Complete ] dest=/tmp/tmp0lladd3t/weights size=\"172 MB\" total_elapsed=2.831s url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar\nDownloaded weights in 2.86s\n2024-12-16 18:37:47.748 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c\n2024-12-16 18:37:47.821 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-16 18:37:47.821 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 18:37:47.821 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 94%|█████████▍| 287/304 [00:00<00:00, 2863.63it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2750.38it/s]\n2024-12-16 18:37:47.932 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s\nUsing seed: 28088\n0it [00:00, ?it/s]\n1it [00:00, 8.30it/s]\n2it [00:00, 5.80it/s]\n3it [00:00, 5.30it/s]\n4it [00:00, 5.10it/s]\n5it [00:00, 4.96it/s]\n6it [00:01, 4.88it/s]\n7it [00:01, 4.85it/s]\n8it [00:01, 4.83it/s]\n9it [00:01, 4.82it/s]\n10it [00:02, 4.79it/s]\n11it [00:02, 4.77it/s]\n12it [00:02, 4.78it/s]\n13it [00:02, 4.77it/s]\n14it [00:02, 4.78it/s]\n15it [00:03, 4.77it/s]\n16it [00:03, 4.77it/s]\n17it [00:03, 4.78it/s]\n18it [00:03, 4.78it/s]\n19it [00:03, 4.77it/s]\n20it [00:04, 4.77it/s]\n21it [00:04, 4.77it/s]\n22it [00:04, 4.77it/s]\n23it [00:04, 4.77it/s]\n24it [00:04, 4.78it/s]\n25it [00:05, 4.77it/s]\n26it [00:05, 4.77it/s]\n27it [00:05, 4.77it/s]\n28it [00:05, 4.78it/s]\n29it [00:05, 4.77it/s]\n30it [00:06, 4.77it/s]\n31it [00:06, 4.77it/s]\n32it [00:06, 4.77it/s]\n33it [00:06, 4.77it/s]\n34it [00:07, 4.77it/s]\n35it [00:07, 4.78it/s]\n36it [00:07, 4.78it/s]\n37it [00:07, 4.79it/s]\n38it [00:07, 4.78it/s]\n39it [00:08, 4.78it/s]\n40it [00:08, 4.79it/s]\n41it [00:08, 4.78it/s]\n42it [00:08, 4.78it/s]\n43it [00:08, 4.78it/s]\n44it [00:09, 4.77it/s]\n45it [00:09, 4.77it/s]\n45it [00:09, 4.82it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.80it/s]\n2it [00:00, 4.78it/s]\n3it [00:00, 4.77it/s]\n4it [00:00, 4.75it/s]\n5it [00:01, 4.75it/s]\n6it [00:01, 4.75it/s]\n7it [00:01, 4.76it/s]\n8it [00:01, 4.76it/s]\n9it [00:01, 4.77it/s]\n10it [00:02, 4.76it/s]\n11it [00:02, 4.77it/s]\n12it [00:02, 4.77it/s]\n13it [00:02, 4.78it/s]\n14it [00:02, 4.78it/s]\n15it [00:03, 4.78it/s]\n16it [00:03, 4.78it/s]\n17it [00:03, 4.77it/s]\n18it [00:03, 4.77it/s]\n19it [00:03, 4.77it/s]\n20it [00:04, 4.77it/s]\n21it [00:04, 4.77it/s]\n22it [00:04, 4.77it/s]\n23it [00:04, 4.77it/s]\n24it [00:05, 4.76it/s]\n25it [00:05, 4.76it/s]\n26it [00:05, 4.76it/s]\n27it [00:05, 4.76it/s]\n28it [00:05, 4.77it/s]\n29it [00:06, 4.77it/s]\n30it [00:06, 4.76it/s]\n31it [00:06, 4.76it/s]\n32it [00:06, 4.76it/s]\n33it [00:06, 4.76it/s]\n34it [00:07, 4.76it/s]\n35it [00:07, 4.76it/s]\n36it [00:07, 4.76it/s]\n37it [00:07, 4.76it/s]\n38it [00:07, 4.76it/s]\n39it [00:08, 4.77it/s]\n40it [00:08, 4.76it/s]\n41it [00:08, 4.76it/s]\n42it [00:08, 4.76it/s]\n43it [00:09, 4.75it/s]\n44it [00:09, 4.77it/s]\n45it [00:09, 4.76it/s]\n45it [00:09, 4.77it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.82it/s]\n2it [00:00, 4.79it/s]\n3it [00:00, 4.78it/s]\n4it [00:00, 4.77it/s]\n5it [00:01, 4.77it/s]\n6it [00:01, 4.76it/s]\n7it [00:01, 4.76it/s]\n8it [00:01, 4.75it/s]\n9it [00:01, 4.75it/s]\n10it [00:02, 4.76it/s]\n11it [00:02, 4.76it/s]\n12it [00:02, 4.76it/s]\n13it [00:02, 4.75it/s]\n14it [00:02, 4.76it/s]\n15it [00:03, 4.76it/s]\n16it [00:03, 4.77it/s]\n17it [00:03, 4.77it/s]\n18it [00:03, 4.77it/s]\n19it [00:03, 4.76it/s]\n20it [00:04, 4.76it/s]\n21it [00:04, 4.76it/s]\n22it [00:04, 4.76it/s]\n23it [00:04, 4.76it/s]\n24it [00:05, 4.76it/s]\n25it [00:05, 4.77it/s]\n26it [00:05, 4.77it/s]\n27it [00:05, 4.76it/s]\n28it [00:05, 4.77it/s]\n29it [00:06, 4.77it/s]\n30it [00:06, 4.77it/s]\n31it [00:06, 4.77it/s]\n32it [00:06, 4.76it/s]\n33it [00:06, 4.76it/s]\n34it [00:07, 4.76it/s]\n35it [00:07, 4.76it/s]\n36it [00:07, 4.75it/s]\n37it [00:07, 4.76it/s]\n38it [00:07, 4.76it/s]\n39it [00:08, 4.76it/s]\n40it [00:08, 4.76it/s]\n41it [00:08, 4.76it/s]\n42it [00:08, 4.77it/s]\n43it [00:09, 4.77it/s]\n44it [00:09, 4.77it/s]\n45it [00:09, 4.76it/s]\n45it [00:09, 4.76it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.82it/s]\n2it [00:00, 4.78it/s]\n3it [00:00, 4.76it/s]\n4it [00:00, 4.76it/s]\n5it [00:01, 4.76it/s]\n6it [00:01, 4.76it/s]\n7it [00:01, 4.76it/s]\n8it [00:01, 4.76it/s]\n9it [00:01, 4.76it/s]\n10it [00:02, 4.75it/s]\n11it [00:02, 4.75it/s]\n12it [00:02, 4.75it/s]\n13it [00:02, 4.75it/s]\n14it [00:02, 4.74it/s]\n15it [00:03, 4.74it/s]\n16it [00:03, 4.74it/s]\n17it [00:03, 4.74it/s]\n18it [00:03, 4.74it/s]\n19it [00:03, 4.74it/s]\n20it [00:04, 4.75it/s]\n21it [00:04, 4.75it/s]\n22it [00:04, 4.76it/s]\n23it [00:04, 4.76it/s]\n24it [00:05, 4.75it/s]\n25it [00:05, 4.75it/s]\n26it [00:05, 4.75it/s]\n27it [00:05, 4.75it/s]\n28it [00:05, 4.75it/s]\n29it [00:06, 4.76it/s]\n30it [00:06, 4.75it/s]\n31it [00:06, 4.76it/s]\n32it [00:06, 4.77it/s]\n33it [00:06, 4.76it/s]\n34it [00:07, 4.76it/s]\n35it [00:07, 4.75it/s]\n36it [00:07, 4.75it/s]\n37it [00:07, 4.76it/s]\n38it [00:07, 4.77it/s]\n39it [00:08, 4.76it/s]\n40it [00:08, 4.76it/s]\n41it [00:08, 4.76it/s]\n42it [00:08, 4.75it/s]\n43it [00:09, 4.76it/s]\n44it [00:09, 4.77it/s]\n45it [00:09, 4.76it/s]\n45it [00:09, 4.76it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 41.624591071, "total_time": 41.820868 }, "output": [ "https://replicate.delivery/xezq/727VTXMko7p7A5cGALyBa4NpDY4S4BsrUYNOhPo6ZOjol4eJA/out-0.webp", "https://replicate.delivery/xezq/Rmov2eWMMuWzAKU5eog7nAflyoyfRkKvk1lZIb7RqCyLaJuPB/out-1.webp", "https://replicate.delivery/xezq/bgRuno1BRf0BfEGT5jSU8cI71I0EOl5nKe1zt32JhQEEtE3nA/out-2.webp", "https://replicate.delivery/xezq/uX41wJTOQqJmC9AsUpHD8xtTrhOrCIKXJwfTaTeA0VciWi7TA/out-3.webp" ], "started_at": "2024-12-16T18:37:44.781277Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-vpqptvv6p77so6c2wmx7ii3unehqltbyugqdshx26fm6ig322v7q", "get": "https://api.replicate.com/v1/predictions/acbgezgf15rmc0ckt31sqrzxw8", "cancel": "https://api.replicate.com/v1/predictions/acbgezgf15rmc0ckt31sqrzxw8/cancel" }, "version": "f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab" }
Generated in2024-12-16 18:37:44.780 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 18:37:44.780 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 94%|█████████▍| 287/304 [00:00<00:00, 2858.37it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2745.77it/s] 2024-12-16 18:37:44.891 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s free=29148274483200 Downloading weights 2024-12-16T18:37:44Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp0lladd3t/weights url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar 2024-12-16T18:37:47Z | INFO | [ Complete ] dest=/tmp/tmp0lladd3t/weights size="172 MB" total_elapsed=2.831s url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar Downloaded weights in 2.86s 2024-12-16 18:37:47.748 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c 2024-12-16 18:37:47.821 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2024-12-16 18:37:47.821 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 18:37:47.821 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 94%|█████████▍| 287/304 [00:00<00:00, 2863.63it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2750.38it/s] 2024-12-16 18:37:47.932 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s Using seed: 28088 0it [00:00, ?it/s] 1it [00:00, 8.30it/s] 2it [00:00, 5.80it/s] 3it [00:00, 5.30it/s] 4it [00:00, 5.10it/s] 5it [00:00, 4.96it/s] 6it [00:01, 4.88it/s] 7it [00:01, 4.85it/s] 8it [00:01, 4.83it/s] 9it [00:01, 4.82it/s] 10it [00:02, 4.79it/s] 11it [00:02, 4.77it/s] 12it [00:02, 4.78it/s] 13it [00:02, 4.77it/s] 14it [00:02, 4.78it/s] 15it [00:03, 4.77it/s] 16it [00:03, 4.77it/s] 17it [00:03, 4.78it/s] 18it [00:03, 4.78it/s] 19it [00:03, 4.77it/s] 20it [00:04, 4.77it/s] 21it [00:04, 4.77it/s] 22it [00:04, 4.77it/s] 23it [00:04, 4.77it/s] 24it [00:04, 4.78it/s] 25it [00:05, 4.77it/s] 26it [00:05, 4.77it/s] 27it [00:05, 4.77it/s] 28it [00:05, 4.78it/s] 29it [00:05, 4.77it/s] 30it [00:06, 4.77it/s] 31it [00:06, 4.77it/s] 32it [00:06, 4.77it/s] 33it [00:06, 4.77it/s] 34it [00:07, 4.77it/s] 35it [00:07, 4.78it/s] 36it [00:07, 4.78it/s] 37it [00:07, 4.79it/s] 38it [00:07, 4.78it/s] 39it [00:08, 4.78it/s] 40it [00:08, 4.79it/s] 41it [00:08, 4.78it/s] 42it [00:08, 4.78it/s] 43it [00:08, 4.78it/s] 44it [00:09, 4.77it/s] 45it [00:09, 4.77it/s] 45it [00:09, 4.82it/s] 0it [00:00, ?it/s] 1it [00:00, 4.80it/s] 2it [00:00, 4.78it/s] 3it [00:00, 4.77it/s] 4it [00:00, 4.75it/s] 5it [00:01, 4.75it/s] 6it [00:01, 4.75it/s] 7it [00:01, 4.76it/s] 8it [00:01, 4.76it/s] 9it [00:01, 4.77it/s] 10it [00:02, 4.76it/s] 11it [00:02, 4.77it/s] 12it [00:02, 4.77it/s] 13it [00:02, 4.78it/s] 14it [00:02, 4.78it/s] 15it [00:03, 4.78it/s] 16it [00:03, 4.78it/s] 17it [00:03, 4.77it/s] 18it [00:03, 4.77it/s] 19it [00:03, 4.77it/s] 20it [00:04, 4.77it/s] 21it [00:04, 4.77it/s] 22it [00:04, 4.77it/s] 23it [00:04, 4.77it/s] 24it [00:05, 4.76it/s] 25it [00:05, 4.76it/s] 26it [00:05, 4.76it/s] 27it [00:05, 4.76it/s] 28it [00:05, 4.77it/s] 29it [00:06, 4.77it/s] 30it [00:06, 4.76it/s] 31it [00:06, 4.76it/s] 32it [00:06, 4.76it/s] 33it [00:06, 4.76it/s] 34it [00:07, 4.76it/s] 35it [00:07, 4.76it/s] 36it [00:07, 4.76it/s] 37it [00:07, 4.76it/s] 38it [00:07, 4.76it/s] 39it [00:08, 4.77it/s] 40it [00:08, 4.76it/s] 41it [00:08, 4.76it/s] 42it [00:08, 4.76it/s] 43it [00:09, 4.75it/s] 44it [00:09, 4.77it/s] 45it [00:09, 4.76it/s] 45it [00:09, 4.77it/s] 0it [00:00, ?it/s] 1it [00:00, 4.82it/s] 2it [00:00, 4.79it/s] 3it [00:00, 4.78it/s] 4it [00:00, 4.77it/s] 5it [00:01, 4.77it/s] 6it [00:01, 4.76it/s] 7it [00:01, 4.76it/s] 8it [00:01, 4.75it/s] 9it [00:01, 4.75it/s] 10it [00:02, 4.76it/s] 11it [00:02, 4.76it/s] 12it [00:02, 4.76it/s] 13it [00:02, 4.75it/s] 14it [00:02, 4.76it/s] 15it [00:03, 4.76it/s] 16it [00:03, 4.77it/s] 17it [00:03, 4.77it/s] 18it [00:03, 4.77it/s] 19it [00:03, 4.76it/s] 20it [00:04, 4.76it/s] 21it [00:04, 4.76it/s] 22it [00:04, 4.76it/s] 23it [00:04, 4.76it/s] 24it [00:05, 4.76it/s] 25it [00:05, 4.77it/s] 26it [00:05, 4.77it/s] 27it [00:05, 4.76it/s] 28it [00:05, 4.77it/s] 29it [00:06, 4.77it/s] 30it [00:06, 4.77it/s] 31it [00:06, 4.77it/s] 32it [00:06, 4.76it/s] 33it [00:06, 4.76it/s] 34it [00:07, 4.76it/s] 35it [00:07, 4.76it/s] 36it [00:07, 4.75it/s] 37it [00:07, 4.76it/s] 38it [00:07, 4.76it/s] 39it [00:08, 4.76it/s] 40it [00:08, 4.76it/s] 41it [00:08, 4.76it/s] 42it [00:08, 4.77it/s] 43it [00:09, 4.77it/s] 44it [00:09, 4.77it/s] 45it [00:09, 4.76it/s] 45it [00:09, 4.76it/s] 0it [00:00, ?it/s] 1it [00:00, 4.82it/s] 2it [00:00, 4.78it/s] 3it [00:00, 4.76it/s] 4it [00:00, 4.76it/s] 5it [00:01, 4.76it/s] 6it [00:01, 4.76it/s] 7it [00:01, 4.76it/s] 8it [00:01, 4.76it/s] 9it [00:01, 4.76it/s] 10it [00:02, 4.75it/s] 11it [00:02, 4.75it/s] 12it [00:02, 4.75it/s] 13it [00:02, 4.75it/s] 14it [00:02, 4.74it/s] 15it [00:03, 4.74it/s] 16it [00:03, 4.74it/s] 17it [00:03, 4.74it/s] 18it [00:03, 4.74it/s] 19it [00:03, 4.74it/s] 20it [00:04, 4.75it/s] 21it [00:04, 4.75it/s] 22it [00:04, 4.76it/s] 23it [00:04, 4.76it/s] 24it [00:05, 4.75it/s] 25it [00:05, 4.75it/s] 26it [00:05, 4.75it/s] 27it [00:05, 4.75it/s] 28it [00:05, 4.75it/s] 29it [00:06, 4.76it/s] 30it [00:06, 4.75it/s] 31it [00:06, 4.76it/s] 32it [00:06, 4.77it/s] 33it [00:06, 4.76it/s] 34it [00:07, 4.76it/s] 35it [00:07, 4.75it/s] 36it [00:07, 4.75it/s] 37it [00:07, 4.76it/s] 38it [00:07, 4.77it/s] 39it [00:08, 4.76it/s] 40it [00:08, 4.76it/s] 41it [00:08, 4.76it/s] 42it [00:08, 4.75it/s] 43it [00:09, 4.76it/s] 44it [00:09, 4.77it/s] 45it [00:09, 4.76it/s] 45it [00:09, 4.76it/s] Total safe images: 4 out of 4
Prediction
roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fabIDeqtj9adw89rme0ckt32t9pp1wcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- fully round and floating 3D head of a 3D character in style of cartoon, round head, smooth matte texture, peach skin tone, fluffy brown long haircut with plush texture, medium length braid, silver earrings, calm expression, almond-shaped eyes, thick fluffy brown eyebrows, small round nose, closed mouth with full lips, pastel background, soft studio lighting
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 1
- extra_lora_scale
- 1
- num_inference_steps
- 50
{ "model": "dev", "prompt": "fully round and floating 3D head of a 3D character in style of cartoon, round head, smooth matte texture, peach skin tone, fluffy brown long haircut with plush texture, medium length braid, silver earrings, calm expression, almond-shaped eyes, thick fluffy brown eyebrows, small round nose, closed mouth with full lips, pastel background, soft studio lighting", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", { input: { model: "dev", prompt: "fully round and floating 3D head of a 3D character in style of cartoon, round head, smooth matte texture, peach skin tone, fluffy brown long haircut with plush texture, medium length braid, silver earrings, calm expression, almond-shaped eyes, thick fluffy brown eyebrows, small round nose, closed mouth with full lips, pastel background, soft studio lighting", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, output_quality: 80, prompt_strength: 1, extra_lora_scale: 1, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", input={ "model": "dev", "prompt": "fully round and floating 3D head of a 3D character in style of cartoon, round head, smooth matte texture, peach skin tone, fluffy brown long haircut with plush texture, medium length braid, silver earrings, calm expression, almond-shaped eyes, thick fluffy brown eyebrows, small round nose, closed mouth with full lips, pastel background, soft studio lighting", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", "input": { "model": "dev", "prompt": "fully round and floating 3D head of a 3D character in style of cartoon, round head, smooth matte texture, peach skin tone, fluffy brown long haircut with plush texture, medium length braid, silver earrings, calm expression, almond-shaped eyes, thick fluffy brown eyebrows, small round nose, closed mouth with full lips, pastel background, soft studio lighting", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-16T18:41:24.682097Z", "created_at": "2024-12-16T18:40:40.002000Z", "data_removed": false, "error": null, "id": "eqtj9adw89rme0ckt32t9pp1wc", "input": { "model": "dev", "prompt": "fully round and floating 3D head of a 3D character in style of cartoon, round head, smooth matte texture, peach skin tone, fluffy brown long haircut with plush texture, medium length braid, silver earrings, calm expression, almond-shaped eyes, thick fluffy brown eyebrows, small round nose, closed mouth with full lips, pastel background, soft studio lighting", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 50 }, "logs": "2024-12-16 18:40:40.007 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 18:40:40.008 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 94%|█████████▍| 286/304 [00:00<00:00, 2832.66it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2698.99it/s]\n2024-12-16 18:40:40.121 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=29201200435200\nDownloading weights\n2024-12-16T18:40:40Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpc_fjsi4l/weights url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar\n2024-12-16T18:40:41Z | INFO | [ Complete ] dest=/tmp/tmpc_fjsi4l/weights size=\"172 MB\" total_elapsed=1.581s url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar\nDownloaded weights in 1.60s\n2024-12-16 18:40:41.724 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c\n2024-12-16 18:40:41.792 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-16 18:40:41.792 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 18:40:41.793 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 94%|█████████▍| 286/304 [00:00<00:00, 2838.29it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2704.19it/s]\n2024-12-16 18:40:41.905 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s\nUsing seed: 9408\n0it [00:00, ?it/s]\n1it [00:00, 8.31it/s]\n2it [00:00, 5.82it/s]\n3it [00:00, 5.30it/s]\n4it [00:00, 5.09it/s]\n5it [00:00, 4.96it/s]\n6it [00:01, 4.89it/s]\n7it [00:01, 4.86it/s]\n8it [00:01, 4.84it/s]\n9it [00:01, 4.81it/s]\n10it [00:02, 4.79it/s]\n11it [00:02, 4.78it/s]\n12it [00:02, 4.78it/s]\n13it [00:02, 4.79it/s]\n14it [00:02, 4.78it/s]\n15it [00:03, 4.77it/s]\n16it [00:03, 4.77it/s]\n17it [00:03, 4.77it/s]\n18it [00:03, 4.78it/s]\n19it [00:03, 4.77it/s]\n20it [00:04, 4.77it/s]\n21it [00:04, 4.76it/s]\n22it [00:04, 4.76it/s]\n23it [00:04, 4.76it/s]\n24it [00:04, 4.76it/s]\n25it [00:05, 4.76it/s]\n26it [00:05, 4.76it/s]\n27it [00:05, 4.76it/s]\n28it [00:05, 4.77it/s]\n29it [00:05, 4.76it/s]\n30it [00:06, 4.76it/s]\n31it [00:06, 4.76it/s]\n32it [00:06, 4.76it/s]\n33it [00:06, 4.76it/s]\n34it [00:07, 4.76it/s]\n35it [00:07, 4.76it/s]\n36it [00:07, 4.77it/s]\n37it [00:07, 4.77it/s]\n38it [00:07, 4.77it/s]\n39it [00:08, 4.76it/s]\n40it [00:08, 4.77it/s]\n41it [00:08, 4.77it/s]\n42it [00:08, 4.77it/s]\n43it [00:08, 4.76it/s]\n44it [00:09, 4.76it/s]\n45it [00:09, 4.77it/s]\n46it [00:09, 4.77it/s]\n47it [00:09, 4.77it/s]\n48it [00:09, 4.77it/s]\n49it [00:10, 4.77it/s]\n50it [00:10, 4.77it/s]\n50it [00:10, 4.81it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.78it/s]\n2it [00:00, 4.75it/s]\n3it [00:00, 4.75it/s]\n4it [00:00, 4.75it/s]\n5it [00:01, 4.75it/s]\n6it [00:01, 4.75it/s]\n7it [00:01, 4.76it/s]\n8it [00:01, 4.76it/s]\n9it [00:01, 4.76it/s]\n10it [00:02, 4.76it/s]\n11it [00:02, 4.76it/s]\n12it [00:02, 4.76it/s]\n13it [00:02, 4.76it/s]\n14it [00:02, 4.76it/s]\n15it [00:03, 4.76it/s]\n16it [00:03, 4.76it/s]\n17it [00:03, 4.76it/s]\n18it [00:03, 4.77it/s]\n19it [00:03, 4.76it/s]\n20it [00:04, 4.76it/s]\n21it [00:04, 4.76it/s]\n22it [00:04, 4.76it/s]\n23it [00:04, 4.76it/s]\n24it [00:05, 4.75it/s]\n25it [00:05, 4.75it/s]\n26it [00:05, 4.75it/s]\n27it [00:05, 4.76it/s]\n28it [00:05, 4.76it/s]\n29it [00:06, 4.76it/s]\n30it [00:06, 4.76it/s]\n31it [00:06, 4.75it/s]\n32it [00:06, 4.75it/s]\n33it [00:06, 4.74it/s]\n34it [00:07, 4.74it/s]\n35it [00:07, 4.74it/s]\n36it [00:07, 4.74it/s]\n37it [00:07, 4.74it/s]\n38it [00:07, 4.75it/s]\n39it [00:08, 4.75it/s]\n40it [00:08, 4.76it/s]\n41it [00:08, 4.76it/s]\n42it [00:08, 4.75it/s]\n43it [00:09, 4.75it/s]\n44it [00:09, 4.75it/s]\n45it [00:09, 4.75it/s]\n46it [00:09, 4.75it/s]\n47it [00:09, 4.76it/s]\n48it [00:10, 4.76it/s]\n49it [00:10, 4.76it/s]\n50it [00:10, 4.76it/s]\n50it [00:10, 4.76it/s]\n0it [00:00, ?it/s]\n1it 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[00:09, 4.75it/s]\n44it [00:09, 4.76it/s]\n45it [00:09, 4.75it/s]\n46it [00:09, 4.76it/s]\n47it [00:09, 4.75it/s]\n48it [00:10, 4.75it/s]\n49it [00:10, 4.76it/s]\n50it [00:10, 4.76it/s]\n50it [00:10, 4.75it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.77it/s]\n2it [00:00, 4.77it/s]\n3it [00:00, 4.76it/s]\n4it [00:00, 4.76it/s]\n5it [00:01, 4.76it/s]\n6it [00:01, 4.75it/s]\n7it [00:01, 4.75it/s]\n8it [00:01, 4.76it/s]\n9it [00:01, 4.75it/s]\n10it [00:02, 4.75it/s]\n11it [00:02, 4.75it/s]\n12it [00:02, 4.75it/s]\n13it [00:02, 4.74it/s]\n14it [00:02, 4.74it/s]\n15it [00:03, 4.74it/s]\n16it [00:03, 4.74it/s]\n17it [00:03, 4.75it/s]\n18it [00:03, 4.75it/s]\n19it [00:04, 4.75it/s]\n20it [00:04, 4.75it/s]\n21it [00:04, 4.75it/s]\n22it [00:04, 4.74it/s]\n23it [00:04, 4.74it/s]\n24it [00:05, 4.74it/s]\n25it [00:05, 4.74it/s]\n26it [00:05, 4.75it/s]\n27it [00:05, 4.76it/s]\n28it [00:05, 4.75it/s]\n29it [00:06, 4.75it/s]\n30it [00:06, 4.75it/s]\n31it [00:06, 4.75it/s]\n32it [00:06, 4.75it/s]\n33it [00:06, 4.76it/s]\n34it [00:07, 4.76it/s]\n35it [00:07, 4.75it/s]\n36it [00:07, 4.76it/s]\n37it [00:07, 4.75it/s]\n38it [00:08, 4.75it/s]\n39it [00:08, 4.75it/s]\n40it [00:08, 4.74it/s]\n41it [00:08, 4.75it/s]\n42it [00:08, 4.75it/s]\n43it [00:09, 4.74it/s]\n44it [00:09, 4.75it/s]\n45it [00:09, 4.74it/s]\n46it [00:09, 4.74it/s]\n47it [00:09, 4.74it/s]\n48it [00:10, 4.74it/s]\n49it [00:10, 4.75it/s]\n50it [00:10, 4.75it/s]\n50it [00:10, 4.75it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 44.673762882, "total_time": 44.680097 }, "output": [ "https://replicate.delivery/xezq/Jitf60H3EbRBXy7y4XhQRKrdkwfAbgARMpn9goSL900UZi7TA/out-0.webp", "https://replicate.delivery/xezq/GkHzJkdBgewzGqnDBo3kaeperPJphOeOPCGHfq6J9T9kKTcfE/out-1.webp", "https://replicate.delivery/xezq/otVaKFAUMmLKApAQtiZBFKEPwhdeN5wPR3yVVsdDPaXqMx9JA/out-2.webp", "https://replicate.delivery/xezq/jhrrnP7Wkr5rFVjvecVn3jGE3toA9sJjfwnfWNu0USRpyE3nA/out-3.webp" ], "started_at": "2024-12-16T18:40:40.008334Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-dabk7geneckw3begnme5rmrkptmkaz7p2eu7sdyi4s4f5662pbia", "get": "https://api.replicate.com/v1/predictions/eqtj9adw89rme0ckt32t9pp1wc", "cancel": "https://api.replicate.com/v1/predictions/eqtj9adw89rme0ckt32t9pp1wc/cancel" }, "version": "f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab" }
Generated in2024-12-16 18:40:40.007 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 18:40:40.008 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 94%|█████████▍| 286/304 [00:00<00:00, 2832.66it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2698.99it/s] 2024-12-16 18:40:40.121 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s free=29201200435200 Downloading weights 2024-12-16T18:40:40Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpc_fjsi4l/weights url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar 2024-12-16T18:40:41Z | INFO | [ Complete ] dest=/tmp/tmpc_fjsi4l/weights size="172 MB" total_elapsed=1.581s url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar Downloaded weights in 1.60s 2024-12-16 18:40:41.724 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c 2024-12-16 18:40:41.792 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2024-12-16 18:40:41.792 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 18:40:41.793 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 94%|█████████▍| 286/304 [00:00<00:00, 2838.29it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2704.19it/s] 2024-12-16 18:40:41.905 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s Using seed: 9408 0it [00:00, ?it/s] 1it [00:00, 8.31it/s] 2it [00:00, 5.82it/s] 3it [00:00, 5.30it/s] 4it [00:00, 5.09it/s] 5it [00:00, 4.96it/s] 6it [00:01, 4.89it/s] 7it [00:01, 4.86it/s] 8it [00:01, 4.84it/s] 9it [00:01, 4.81it/s] 10it [00:02, 4.79it/s] 11it [00:02, 4.78it/s] 12it [00:02, 4.78it/s] 13it [00:02, 4.79it/s] 14it [00:02, 4.78it/s] 15it [00:03, 4.77it/s] 16it [00:03, 4.77it/s] 17it [00:03, 4.77it/s] 18it [00:03, 4.78it/s] 19it [00:03, 4.77it/s] 20it [00:04, 4.77it/s] 21it [00:04, 4.76it/s] 22it [00:04, 4.76it/s] 23it [00:04, 4.76it/s] 24it [00:04, 4.76it/s] 25it [00:05, 4.76it/s] 26it [00:05, 4.76it/s] 27it [00:05, 4.76it/s] 28it [00:05, 4.77it/s] 29it [00:05, 4.76it/s] 30it [00:06, 4.76it/s] 31it [00:06, 4.76it/s] 32it [00:06, 4.76it/s] 33it [00:06, 4.76it/s] 34it [00:07, 4.76it/s] 35it [00:07, 4.76it/s] 36it [00:07, 4.77it/s] 37it [00:07, 4.77it/s] 38it [00:07, 4.77it/s] 39it [00:08, 4.76it/s] 40it [00:08, 4.77it/s] 41it [00:08, 4.77it/s] 42it [00:08, 4.77it/s] 43it [00:08, 4.76it/s] 44it [00:09, 4.76it/s] 45it [00:09, 4.77it/s] 46it [00:09, 4.77it/s] 47it [00:09, 4.77it/s] 48it [00:09, 4.77it/s] 49it [00:10, 4.77it/s] 50it [00:10, 4.77it/s] 50it [00:10, 4.81it/s] 0it [00:00, ?it/s] 1it [00:00, 4.78it/s] 2it [00:00, 4.75it/s] 3it [00:00, 4.75it/s] 4it [00:00, 4.75it/s] 5it [00:01, 4.75it/s] 6it [00:01, 4.75it/s] 7it [00:01, 4.76it/s] 8it [00:01, 4.76it/s] 9it [00:01, 4.76it/s] 10it [00:02, 4.76it/s] 11it [00:02, 4.76it/s] 12it [00:02, 4.76it/s] 13it [00:02, 4.76it/s] 14it [00:02, 4.76it/s] 15it [00:03, 4.76it/s] 16it [00:03, 4.76it/s] 17it [00:03, 4.76it/s] 18it [00:03, 4.77it/s] 19it [00:03, 4.76it/s] 20it [00:04, 4.76it/s] 21it [00:04, 4.76it/s] 22it [00:04, 4.76it/s] 23it [00:04, 4.76it/s] 24it [00:05, 4.75it/s] 25it [00:05, 4.75it/s] 26it [00:05, 4.75it/s] 27it [00:05, 4.76it/s] 28it [00:05, 4.76it/s] 29it [00:06, 4.76it/s] 30it [00:06, 4.76it/s] 31it [00:06, 4.75it/s] 32it [00:06, 4.75it/s] 33it [00:06, 4.74it/s] 34it [00:07, 4.74it/s] 35it [00:07, 4.74it/s] 36it [00:07, 4.74it/s] 37it [00:07, 4.74it/s] 38it [00:07, 4.75it/s] 39it [00:08, 4.75it/s] 40it [00:08, 4.76it/s] 41it [00:08, 4.76it/s] 42it [00:08, 4.75it/s] 43it [00:09, 4.75it/s] 44it [00:09, 4.75it/s] 45it [00:09, 4.75it/s] 46it [00:09, 4.75it/s] 47it [00:09, 4.76it/s] 48it [00:10, 4.76it/s] 49it [00:10, 4.76it/s] 50it [00:10, 4.76it/s] 50it [00:10, 4.76it/s] 0it [00:00, ?it/s] 1it [00:00, 4.77it/s] 2it [00:00, 4.75it/s] 3it [00:00, 4.74it/s] 4it [00:00, 4.74it/s] 5it [00:01, 4.74it/s] 6it [00:01, 4.74it/s] 7it [00:01, 4.74it/s] 8it [00:01, 4.74it/s] 9it [00:01, 4.74it/s] 10it [00:02, 4.74it/s] 11it [00:02, 4.74it/s] 12it [00:02, 4.75it/s] 13it [00:02, 4.75it/s] 14it [00:02, 4.74it/s] 15it [00:03, 4.74it/s] 16it [00:03, 4.75it/s] 17it [00:03, 4.75it/s] 18it [00:03, 4.75it/s] 19it [00:04, 4.75it/s] 20it [00:04, 4.75it/s] 21it [00:04, 4.75it/s] 22it [00:04, 4.75it/s] 23it [00:04, 4.75it/s] 24it [00:05, 4.76it/s] 25it [00:05, 4.76it/s] 26it [00:05, 4.75it/s] 27it [00:05, 4.75it/s] 28it [00:05, 4.75it/s] 29it [00:06, 4.75it/s] 30it [00:06, 4.75it/s] 31it [00:06, 4.76it/s] 32it [00:06, 4.75it/s] 33it [00:06, 4.75it/s] 34it [00:07, 4.74it/s] 35it [00:07, 4.75it/s] 36it [00:07, 4.75it/s] 37it [00:07, 4.75it/s] 38it [00:08, 4.75it/s] 39it [00:08, 4.76it/s] 40it [00:08, 4.75it/s] 41it [00:08, 4.74it/s] 42it [00:08, 4.75it/s] 43it [00:09, 4.75it/s] 44it [00:09, 4.76it/s] 45it [00:09, 4.75it/s] 46it [00:09, 4.76it/s] 47it [00:09, 4.75it/s] 48it [00:10, 4.75it/s] 49it [00:10, 4.76it/s] 50it [00:10, 4.76it/s] 50it [00:10, 4.75it/s] 0it [00:00, ?it/s] 1it [00:00, 4.77it/s] 2it [00:00, 4.77it/s] 3it [00:00, 4.76it/s] 4it [00:00, 4.76it/s] 5it [00:01, 4.76it/s] 6it [00:01, 4.75it/s] 7it [00:01, 4.75it/s] 8it [00:01, 4.76it/s] 9it [00:01, 4.75it/s] 10it [00:02, 4.75it/s] 11it [00:02, 4.75it/s] 12it [00:02, 4.75it/s] 13it [00:02, 4.74it/s] 14it [00:02, 4.74it/s] 15it [00:03, 4.74it/s] 16it [00:03, 4.74it/s] 17it [00:03, 4.75it/s] 18it [00:03, 4.75it/s] 19it [00:04, 4.75it/s] 20it [00:04, 4.75it/s] 21it [00:04, 4.75it/s] 22it [00:04, 4.74it/s] 23it [00:04, 4.74it/s] 24it [00:05, 4.74it/s] 25it [00:05, 4.74it/s] 26it [00:05, 4.75it/s] 27it [00:05, 4.76it/s] 28it [00:05, 4.75it/s] 29it [00:06, 4.75it/s] 30it [00:06, 4.75it/s] 31it [00:06, 4.75it/s] 32it [00:06, 4.75it/s] 33it [00:06, 4.76it/s] 34it [00:07, 4.76it/s] 35it [00:07, 4.75it/s] 36it [00:07, 4.76it/s] 37it [00:07, 4.75it/s] 38it [00:08, 4.75it/s] 39it [00:08, 4.75it/s] 40it [00:08, 4.74it/s] 41it [00:08, 4.75it/s] 42it [00:08, 4.75it/s] 43it [00:09, 4.74it/s] 44it [00:09, 4.75it/s] 45it [00:09, 4.74it/s] 46it [00:09, 4.74it/s] 47it [00:09, 4.74it/s] 48it [00:10, 4.74it/s] 49it [00:10, 4.75it/s] 50it [00:10, 4.75it/s] 50it [00:10, 4.75it/s] Total safe images: 4 out of 4
Prediction
roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fabID6ndv0evet1rma0ckt3gbkfmeycStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- fully round and floating 3D head of a 3D black character in style of cartoon, round head, smooth matte texture, african skin tone, fluffy short blonde haircut with plush texture, medium length beard, golden big earrings and piercing in nose, excited expression, big eyes, medium size fluffy blonde eyebrows, small round nose, kiss emotion with full lips, pastel background, soft studio lighting
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 1
- extra_lora_scale
- 1
- num_inference_steps
- 50
{ "model": "dev", "prompt": "fully round and floating 3D head of a 3D black character in style of cartoon, round head, smooth matte texture, african skin tone, fluffy short blonde haircut with plush texture, medium length beard, golden big earrings and piercing in nose, excited expression, big eyes, medium size fluffy blonde eyebrows, small round nose, kiss emotion with full lips, pastel background, soft studio lighting", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", { input: { model: "dev", prompt: "fully round and floating 3D head of a 3D black character in style of cartoon, round head, smooth matte texture, african skin tone, fluffy short blonde haircut with plush texture, medium length beard, golden big earrings and piercing in nose, excited expression, big eyes, medium size fluffy blonde eyebrows, small round nose, kiss emotion with full lips, pastel background, soft studio lighting", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, output_quality: 80, prompt_strength: 1, extra_lora_scale: 1, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", input={ "model": "dev", "prompt": "fully round and floating 3D head of a 3D black character in style of cartoon, round head, smooth matte texture, african skin tone, fluffy short blonde haircut with plush texture, medium length beard, golden big earrings and piercing in nose, excited expression, big eyes, medium size fluffy blonde eyebrows, small round nose, kiss emotion with full lips, pastel background, soft studio lighting", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", "input": { "model": "dev", "prompt": "fully round and floating 3D head of a 3D black character in style of cartoon, round head, smooth matte texture, african skin tone, fluffy short blonde haircut with plush texture, medium length beard, golden big earrings and piercing in nose, excited expression, big eyes, medium size fluffy blonde eyebrows, small round nose, kiss emotion with full lips, pastel background, soft studio lighting", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-16T19:10:35.245369Z", "created_at": "2024-12-16T19:09:49.648000Z", "data_removed": false, "error": null, "id": "6ndv0evet1rma0ckt3gbkfmeyc", "input": { "model": "dev", "prompt": "fully round and floating 3D head of a 3D black character in style of cartoon, round head, smooth matte texture, african skin tone, fluffy short blonde haircut with plush texture, medium length beard, golden big earrings and piercing in nose, excited expression, big eyes, medium size fluffy blonde eyebrows, small round nose, kiss emotion with full lips, pastel background, soft studio lighting", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 50 }, "logs": "2024-12-16 19:09:50.147 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 19:09:50.147 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 93%|█████████▎| 283/304 [00:00<00:00, 2827.24it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2577.24it/s]\n2024-12-16 19:09:50.266 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 19:09:50.266 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 65%|██████▌ | 199/304 [00:00<00:00, 1984.26it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 1874.85it/s]\n2024-12-16 19:09:50.428 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.28s\nfree=29140373553152\nDownloading weights\n2024-12-16T19:09:50Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpm1dndm5g/weights url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar\n2024-12-16T19:09:52Z | INFO | [ Complete ] dest=/tmp/tmpm1dndm5g/weights size=\"172 MB\" total_elapsed=1.566s url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar\nDownloaded weights in 1.59s\n2024-12-16 19:09:52.020 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c\n2024-12-16 19:09:52.089 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-16 19:09:52.090 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 19:09:52.090 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 93%|█████████▎| 284/304 [00:00<00:00, 2823.75it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2579.80it/s]\n2024-12-16 19:09:52.208 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 64334\n0it [00:00, ?it/s]\n1it [00:00, 8.31it/s]\n2it [00:00, 5.80it/s]\n3it [00:00, 5.28it/s]\n4it [00:00, 5.07it/s]\n5it [00:00, 4.92it/s]\n6it [00:01, 4.84it/s]\n7it [00:01, 4.81it/s]\n8it [00:01, 4.80it/s]\n9it [00:01, 4.78it/s]\n10it [00:02, 4.75it/s]\n11it [00:02, 4.74it/s]\n12it [00:02, 4.74it/s]\n13it [00:02, 4.74it/s]\n14it [00:02, 4.73it/s]\n15it [00:03, 4.73it/s]\n16it [00:03, 4.73it/s]\n17it [00:03, 4.73it/s]\n18it [00:03, 4.73it/s]\n19it [00:03, 4.72it/s]\n20it [00:04, 4.71it/s]\n21it [00:04, 4.72it/s]\n22it [00:04, 4.73it/s]\n23it [00:04, 4.73it/s]\n24it [00:04, 4.73it/s]\n25it [00:05, 4.73it/s]\n26it [00:05, 4.73it/s]\n27it [00:05, 4.73it/s]\n28it [00:05, 4.73it/s]\n29it [00:06, 4.74it/s]\n30it [00:06, 4.74it/s]\n31it [00:06, 4.74it/s]\n32it [00:06, 4.74it/s]\n33it [00:06, 4.73it/s]\n34it [00:07, 4.72it/s]\n35it [00:07, 4.72it/s]\n36it [00:07, 4.72it/s]\n37it [00:07, 4.73it/s]\n38it [00:07, 4.73it/s]\n39it [00:08, 4.73it/s]\n40it [00:08, 4.73it/s]\n41it [00:08, 4.72it/s]\n42it [00:08, 4.72it/s]\n43it [00:08, 4.73it/s]\n44it [00:09, 4.73it/s]\n45it [00:09, 4.73it/s]\n46it [00:09, 4.73it/s]\n47it [00:09, 4.72it/s]\n48it [00:10, 4.72it/s]\n49it [00:10, 4.73it/s]\n50it [00:10, 4.73it/s]\n50it [00:10, 4.77it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.76it/s]\n2it [00:00, 4.73it/s]\n3it [00:00, 4.73it/s]\n4it [00:00, 4.73it/s]\n5it [00:01, 4.73it/s]\n6it [00:01, 4.73it/s]\n7it [00:01, 4.73it/s]\n8it [00:01, 4.73it/s]\n9it [00:01, 4.73it/s]\n10it [00:02, 4.73it/s]\n11it [00:02, 4.73it/s]\n12it [00:02, 4.73it/s]\n13it [00:02, 4.72it/s]\n14it [00:02, 4.72it/s]\n15it [00:03, 4.73it/s]\n16it [00:03, 4.73it/s]\n17it [00:03, 4.73it/s]\n18it [00:03, 4.72it/s]\n19it [00:04, 4.72it/s]\n20it [00:04, 4.72it/s]\n21it [00:04, 4.72it/s]\n22it [00:04, 4.72it/s]\n23it [00:04, 4.73it/s]\n24it [00:05, 4.72it/s]\n25it [00:05, 4.72it/s]\n26it [00:05, 4.72it/s]\n27it [00:05, 4.72it/s]\n28it [00:05, 4.73it/s]\n29it [00:06, 4.72it/s]\n30it [00:06, 4.73it/s]\n31it [00:06, 4.73it/s]\n32it [00:06, 4.73it/s]\n33it [00:06, 4.73it/s]\n34it [00:07, 4.73it/s]\n35it [00:07, 4.72it/s]\n36it [00:07, 4.73it/s]\n37it [00:07, 4.73it/s]\n38it [00:08, 4.72it/s]\n39it [00:08, 4.72it/s]\n40it [00:08, 4.72it/s]\n41it [00:08, 4.71it/s]\n42it [00:08, 4.71it/s]\n43it [00:09, 4.71it/s]\n44it [00:09, 4.71it/s]\n45it [00:09, 4.72it/s]\n46it [00:09, 4.72it/s]\n47it [00:09, 4.72it/s]\n48it [00:10, 4.72it/s]\n49it [00:10, 4.72it/s]\n50it [00:10, 4.72it/s]\n50it [00:10, 4.72it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.74it/s]\n2it [00:00, 4.73it/s]\n3it [00:00, 4.73it/s]\n4it [00:00, 4.73it/s]\n5it [00:01, 4.73it/s]\n6it [00:01, 4.73it/s]\n7it [00:01, 4.72it/s]\n8it [00:01, 4.72it/s]\n9it [00:01, 4.72it/s]\n10it [00:02, 4.72it/s]\n11it [00:02, 4.72it/s]\n12it [00:02, 4.72it/s]\n13it [00:02, 4.71it/s]\n14it [00:02, 4.71it/s]\n15it [00:03, 4.72it/s]\n16it [00:03, 4.72it/s]\n17it [00:03, 4.73it/s]\n18it [00:03, 4.72it/s]\n19it [00:04, 4.72it/s]\n20it [00:04, 4.72it/s]\n21it [00:04, 4.71it/s]\n22it [00:04, 4.72it/s]\n23it [00:04, 4.72it/s]\n24it [00:05, 4.71it/s]\n25it [00:05, 4.72it/s]\n26it [00:05, 4.71it/s]\n27it [00:05, 4.72it/s]\n28it [00:05, 4.72it/s]\n29it [00:06, 4.72it/s]\n30it [00:06, 4.72it/s]\n31it [00:06, 4.72it/s]\n32it [00:06, 4.72it/s]\n33it [00:06, 4.72it/s]\n34it [00:07, 4.73it/s]\n35it [00:07, 4.73it/s]\n36it [00:07, 4.73it/s]\n37it [00:07, 4.73it/s]\n38it [00:08, 4.72it/s]\n39it [00:08, 4.72it/s]\n40it [00:08, 4.73it/s]\n41it [00:08, 4.73it/s]\n42it [00:08, 4.72it/s]\n43it [00:09, 4.72it/s]\n44it [00:09, 4.73it/s]\n45it [00:09, 4.72it/s]\n46it [00:09, 4.72it/s]\n47it [00:09, 4.72it/s]\n48it [00:10, 4.72it/s]\n49it [00:10, 4.72it/s]\n50it [00:10, 4.71it/s]\n50it [00:10, 4.72it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.74it/s]\n2it [00:00, 4.75it/s]\n3it [00:00, 4.73it/s]\n4it [00:00, 4.73it/s]\n5it [00:01, 4.72it/s]\n6it [00:01, 4.72it/s]\n7it [00:01, 4.72it/s]\n8it [00:01, 4.72it/s]\n9it [00:01, 4.72it/s]\n10it [00:02, 4.72it/s]\n11it [00:02, 4.72it/s]\n12it [00:02, 4.72it/s]\n13it [00:02, 4.72it/s]\n14it [00:02, 4.72it/s]\n15it [00:03, 4.72it/s]\n16it [00:03, 4.72it/s]\n17it [00:03, 4.72it/s]\n18it [00:03, 4.72it/s]\n19it [00:04, 4.72it/s]\n20it [00:04, 4.72it/s]\n21it [00:04, 4.72it/s]\n22it [00:04, 4.73it/s]\n23it [00:04, 4.73it/s]\n24it [00:05, 4.72it/s]\n25it [00:05, 4.72it/s]\n26it [00:05, 4.72it/s]\n27it [00:05, 4.72it/s]\n28it [00:05, 4.72it/s]\n29it [00:06, 4.72it/s]\n30it [00:06, 4.72it/s]\n31it [00:06, 4.71it/s]\n32it [00:06, 4.72it/s]\n33it [00:06, 4.73it/s]\n34it [00:07, 4.73it/s]\n35it [00:07, 4.73it/s]\n36it [00:07, 4.73it/s]\n37it [00:07, 4.73it/s]\n38it [00:08, 4.73it/s]\n39it [00:08, 4.72it/s]\n40it [00:08, 4.72it/s]\n41it [00:08, 4.72it/s]\n42it [00:08, 4.72it/s]\n43it [00:09, 4.72it/s]\n44it [00:09, 4.72it/s]\n45it [00:09, 4.71it/s]\n46it [00:09, 4.72it/s]\n47it [00:09, 4.72it/s]\n48it [00:10, 4.71it/s]\n49it [00:10, 4.71it/s]\n50it [00:10, 4.72it/s]\n50it [00:10, 4.72it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 45.09717231, "total_time": 45.597369 }, "output": [ "https://replicate.delivery/xezq/OhPdc0SoBp5iORfp9rN9UXEOH6zfCDocr9xfrbLF9wcXpF3nA/out-0.webp", "https://replicate.delivery/xezq/eBAQBTkEaFScBaZao3QEPS8A7S51oexIEZi6Ye9Xq9XXpF3nA/out-1.webp", "https://replicate.delivery/xezq/5HrGH2Br0yYsABuP2aDkl9loyEnJI87Xff9wWeuDYxetSLuPB/out-2.webp", "https://replicate.delivery/xezq/e8UBssh1GehIh0FrgVk5oV45Uxg0hN3zjSajS7QpRwNr0i7TA/out-3.webp" ], "started_at": "2024-12-16T19:09:50.148197Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-3bo4oi7mp2gcpwh2cbkzh2xtl3edqu2hijafftoka2aaul6z7gnq", "get": "https://api.replicate.com/v1/predictions/6ndv0evet1rma0ckt3gbkfmeyc", "cancel": "https://api.replicate.com/v1/predictions/6ndv0evet1rma0ckt3gbkfmeyc/cancel" }, "version": "f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab" }
Generated in2024-12-16 19:09:50.147 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 19:09:50.147 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 93%|█████████▎| 283/304 [00:00<00:00, 2827.24it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2577.24it/s] 2024-12-16 19:09:50.266 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 19:09:50.266 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 65%|██████▌ | 199/304 [00:00<00:00, 1984.26it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 1874.85it/s] 2024-12-16 19:09:50.428 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.28s free=29140373553152 Downloading weights 2024-12-16T19:09:50Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpm1dndm5g/weights url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar 2024-12-16T19:09:52Z | INFO | [ Complete ] dest=/tmp/tmpm1dndm5g/weights size="172 MB" total_elapsed=1.566s url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar Downloaded weights in 1.59s 2024-12-16 19:09:52.020 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c 2024-12-16 19:09:52.089 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2024-12-16 19:09:52.090 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 19:09:52.090 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 93%|█████████▎| 284/304 [00:00<00:00, 2823.75it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2579.80it/s] 2024-12-16 19:09:52.208 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s Using seed: 64334 0it [00:00, ?it/s] 1it [00:00, 8.31it/s] 2it [00:00, 5.80it/s] 3it [00:00, 5.28it/s] 4it [00:00, 5.07it/s] 5it [00:00, 4.92it/s] 6it [00:01, 4.84it/s] 7it [00:01, 4.81it/s] 8it [00:01, 4.80it/s] 9it [00:01, 4.78it/s] 10it [00:02, 4.75it/s] 11it [00:02, 4.74it/s] 12it [00:02, 4.74it/s] 13it [00:02, 4.74it/s] 14it [00:02, 4.73it/s] 15it [00:03, 4.73it/s] 16it [00:03, 4.73it/s] 17it [00:03, 4.73it/s] 18it [00:03, 4.73it/s] 19it [00:03, 4.72it/s] 20it [00:04, 4.71it/s] 21it [00:04, 4.72it/s] 22it [00:04, 4.73it/s] 23it [00:04, 4.73it/s] 24it [00:04, 4.73it/s] 25it [00:05, 4.73it/s] 26it [00:05, 4.73it/s] 27it [00:05, 4.73it/s] 28it [00:05, 4.73it/s] 29it [00:06, 4.74it/s] 30it [00:06, 4.74it/s] 31it [00:06, 4.74it/s] 32it [00:06, 4.74it/s] 33it [00:06, 4.73it/s] 34it [00:07, 4.72it/s] 35it [00:07, 4.72it/s] 36it [00:07, 4.72it/s] 37it [00:07, 4.73it/s] 38it [00:07, 4.73it/s] 39it [00:08, 4.73it/s] 40it [00:08, 4.73it/s] 41it [00:08, 4.72it/s] 42it [00:08, 4.72it/s] 43it [00:08, 4.73it/s] 44it [00:09, 4.73it/s] 45it [00:09, 4.73it/s] 46it [00:09, 4.73it/s] 47it [00:09, 4.72it/s] 48it [00:10, 4.72it/s] 49it [00:10, 4.73it/s] 50it [00:10, 4.73it/s] 50it [00:10, 4.77it/s] 0it [00:00, ?it/s] 1it [00:00, 4.76it/s] 2it [00:00, 4.73it/s] 3it [00:00, 4.73it/s] 4it [00:00, 4.73it/s] 5it [00:01, 4.73it/s] 6it [00:01, 4.73it/s] 7it [00:01, 4.73it/s] 8it [00:01, 4.73it/s] 9it [00:01, 4.73it/s] 10it [00:02, 4.73it/s] 11it [00:02, 4.73it/s] 12it [00:02, 4.73it/s] 13it [00:02, 4.72it/s] 14it [00:02, 4.72it/s] 15it [00:03, 4.73it/s] 16it [00:03, 4.73it/s] 17it [00:03, 4.73it/s] 18it [00:03, 4.72it/s] 19it [00:04, 4.72it/s] 20it [00:04, 4.72it/s] 21it [00:04, 4.72it/s] 22it [00:04, 4.72it/s] 23it [00:04, 4.73it/s] 24it [00:05, 4.72it/s] 25it [00:05, 4.72it/s] 26it [00:05, 4.72it/s] 27it [00:05, 4.72it/s] 28it [00:05, 4.73it/s] 29it [00:06, 4.72it/s] 30it [00:06, 4.73it/s] 31it [00:06, 4.73it/s] 32it [00:06, 4.73it/s] 33it [00:06, 4.73it/s] 34it [00:07, 4.73it/s] 35it [00:07, 4.72it/s] 36it [00:07, 4.73it/s] 37it [00:07, 4.73it/s] 38it [00:08, 4.72it/s] 39it [00:08, 4.72it/s] 40it [00:08, 4.72it/s] 41it [00:08, 4.71it/s] 42it [00:08, 4.71it/s] 43it [00:09, 4.71it/s] 44it [00:09, 4.71it/s] 45it [00:09, 4.72it/s] 46it [00:09, 4.72it/s] 47it [00:09, 4.72it/s] 48it [00:10, 4.72it/s] 49it [00:10, 4.72it/s] 50it [00:10, 4.72it/s] 50it [00:10, 4.72it/s] 0it [00:00, ?it/s] 1it [00:00, 4.74it/s] 2it [00:00, 4.73it/s] 3it [00:00, 4.73it/s] 4it [00:00, 4.73it/s] 5it [00:01, 4.73it/s] 6it [00:01, 4.73it/s] 7it [00:01, 4.72it/s] 8it [00:01, 4.72it/s] 9it [00:01, 4.72it/s] 10it [00:02, 4.72it/s] 11it [00:02, 4.72it/s] 12it [00:02, 4.72it/s] 13it [00:02, 4.71it/s] 14it [00:02, 4.71it/s] 15it [00:03, 4.72it/s] 16it [00:03, 4.72it/s] 17it [00:03, 4.73it/s] 18it [00:03, 4.72it/s] 19it [00:04, 4.72it/s] 20it [00:04, 4.72it/s] 21it [00:04, 4.71it/s] 22it [00:04, 4.72it/s] 23it [00:04, 4.72it/s] 24it [00:05, 4.71it/s] 25it [00:05, 4.72it/s] 26it [00:05, 4.71it/s] 27it [00:05, 4.72it/s] 28it [00:05, 4.72it/s] 29it [00:06, 4.72it/s] 30it [00:06, 4.72it/s] 31it [00:06, 4.72it/s] 32it [00:06, 4.72it/s] 33it [00:06, 4.72it/s] 34it [00:07, 4.73it/s] 35it [00:07, 4.73it/s] 36it [00:07, 4.73it/s] 37it [00:07, 4.73it/s] 38it [00:08, 4.72it/s] 39it [00:08, 4.72it/s] 40it [00:08, 4.73it/s] 41it [00:08, 4.73it/s] 42it [00:08, 4.72it/s] 43it [00:09, 4.72it/s] 44it [00:09, 4.73it/s] 45it [00:09, 4.72it/s] 46it [00:09, 4.72it/s] 47it [00:09, 4.72it/s] 48it [00:10, 4.72it/s] 49it [00:10, 4.72it/s] 50it [00:10, 4.71it/s] 50it [00:10, 4.72it/s] 0it [00:00, ?it/s] 1it [00:00, 4.74it/s] 2it [00:00, 4.75it/s] 3it [00:00, 4.73it/s] 4it [00:00, 4.73it/s] 5it [00:01, 4.72it/s] 6it [00:01, 4.72it/s] 7it [00:01, 4.72it/s] 8it [00:01, 4.72it/s] 9it [00:01, 4.72it/s] 10it [00:02, 4.72it/s] 11it [00:02, 4.72it/s] 12it [00:02, 4.72it/s] 13it [00:02, 4.72it/s] 14it [00:02, 4.72it/s] 15it [00:03, 4.72it/s] 16it [00:03, 4.72it/s] 17it [00:03, 4.72it/s] 18it [00:03, 4.72it/s] 19it [00:04, 4.72it/s] 20it [00:04, 4.72it/s] 21it [00:04, 4.72it/s] 22it [00:04, 4.73it/s] 23it [00:04, 4.73it/s] 24it [00:05, 4.72it/s] 25it [00:05, 4.72it/s] 26it [00:05, 4.72it/s] 27it [00:05, 4.72it/s] 28it [00:05, 4.72it/s] 29it [00:06, 4.72it/s] 30it [00:06, 4.72it/s] 31it [00:06, 4.71it/s] 32it [00:06, 4.72it/s] 33it [00:06, 4.73it/s] 34it [00:07, 4.73it/s] 35it [00:07, 4.73it/s] 36it [00:07, 4.73it/s] 37it [00:07, 4.73it/s] 38it [00:08, 4.73it/s] 39it [00:08, 4.72it/s] 40it [00:08, 4.72it/s] 41it [00:08, 4.72it/s] 42it [00:08, 4.72it/s] 43it [00:09, 4.72it/s] 44it [00:09, 4.72it/s] 45it [00:09, 4.71it/s] 46it [00:09, 4.72it/s] 47it [00:09, 4.72it/s] 48it [00:10, 4.71it/s] 49it [00:10, 4.71it/s] 50it [00:10, 4.72it/s] 50it [00:10, 4.72it/s] Total safe images: 4 out of 4
Prediction
roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fabID5hrdteqzf5rmc0ckt3grz4rkqcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- AVATAR 3D stylized avatar, round head, smooth matte texture, light skin tone with freckles, wavy hair with felt texture, short, colorful beanie, goofy expression, downturned eyes, thick fluffy brown eyebrows, small round nose, open mouth with thin lips, pastel orange background, soft studio lighting
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 1
- extra_lora_scale
- 1
- num_inference_steps
- 50
{ "model": "dev", "prompt": "AVATAR 3D stylized avatar, round head, smooth matte texture, light skin tone with freckles, wavy hair with felt texture, short, colorful beanie, goofy expression, downturned eyes, thick fluffy brown eyebrows, small round nose, open mouth with thin lips, pastel orange background, soft studio lighting", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", { input: { model: "dev", prompt: "AVATAR 3D stylized avatar, round head, smooth matte texture, light skin tone with freckles, wavy hair with felt texture, short, colorful beanie, goofy expression, downturned eyes, thick fluffy brown eyebrows, small round nose, open mouth with thin lips, pastel orange background, soft studio lighting", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, output_quality: 80, prompt_strength: 1, extra_lora_scale: 1, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", input={ "model": "dev", "prompt": "AVATAR 3D stylized avatar, round head, smooth matte texture, light skin tone with freckles, wavy hair with felt texture, short, colorful beanie, goofy expression, downturned eyes, thick fluffy brown eyebrows, small round nose, open mouth with thin lips, pastel orange background, soft studio lighting", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", "input": { "model": "dev", "prompt": "AVATAR 3D stylized avatar, round head, smooth matte texture, light skin tone with freckles, wavy hair with felt texture, short, colorful beanie, goofy expression, downturned eyes, thick fluffy brown eyebrows, small round nose, open mouth with thin lips, pastel orange background, soft studio lighting", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-16T19:12:15.290410Z", "created_at": "2024-12-16T19:11:32.217000Z", "data_removed": false, "error": null, "id": "5hrdteqzf5rmc0ckt3grz4rkqc", "input": { "model": "dev", "prompt": "AVATAR 3D stylized avatar, round head, smooth matte texture, light skin tone with freckles, wavy hair with felt texture, short, colorful beanie, goofy expression, downturned eyes, thick fluffy brown eyebrows, small round nose, open mouth with thin lips, pastel orange background, soft studio lighting", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 50 }, "logs": "2024-12-16 19:11:32.242 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 19:11:32.242 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 94%|█████████▍| 285/304 [00:00<00:00, 2848.88it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2728.81it/s]\n2024-12-16 19:11:32.354 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\n2024-12-16 19:11:32.355 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c\n2024-12-16 19:11:32.477 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-16 19:11:32.477 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 19:11:32.477 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 94%|█████████▍| 287/304 [00:00<00:00, 2863.02it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2750.27it/s]\n2024-12-16 19:11:32.588 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.23s\nUsing seed: 37702\n0it [00:00, ?it/s]\n1it [00:00, 8.32it/s]\n2it [00:00, 5.84it/s]\n3it [00:00, 5.32it/s]\n4it [00:00, 5.11it/s]\n5it [00:00, 4.96it/s]\n6it [00:01, 4.88it/s]\n7it [00:01, 4.85it/s]\n8it [00:01, 4.83it/s]\n9it [00:01, 4.82it/s]\n10it [00:02, 4.80it/s]\n11it [00:02, 4.79it/s]\n12it [00:02, 4.79it/s]\n13it [00:02, 4.79it/s]\n14it [00:02, 4.78it/s]\n15it [00:03, 4.78it/s]\n16it [00:03, 4.77it/s]\n17it [00:03, 4.77it/s]\n18it [00:03, 4.78it/s]\n19it [00:03, 4.78it/s]\n20it [00:04, 4.78it/s]\n21it [00:04, 4.78it/s]\n22it [00:04, 4.78it/s]\n23it [00:04, 4.78it/s]\n24it [00:04, 4.78it/s]\n25it [00:05, 4.78it/s]\n26it [00:05, 4.78it/s]\n27it [00:05, 4.78it/s]\n28it [00:05, 4.78it/s]\n29it [00:05, 4.78it/s]\n30it [00:06, 4.78it/s]\n31it [00:06, 4.77it/s]\n32it [00:06, 4.77it/s]\n33it [00:06, 4.77it/s]\n34it [00:07, 4.78it/s]\n35it [00:07, 4.78it/s]\n36it [00:07, 4.78it/s]\n37it [00:07, 4.78it/s]\n38it [00:07, 4.78it/s]\n39it [00:08, 4.77it/s]\n40it [00:08, 4.77it/s]\n41it [00:08, 4.77it/s]\n42it [00:08, 4.77it/s]\n43it [00:08, 4.78it/s]\n44it [00:09, 4.78it/s]\n45it [00:09, 4.78it/s]\n46it [00:09, 4.78it/s]\n47it [00:09, 4.78it/s]\n48it [00:09, 4.78it/s]\n49it [00:10, 4.78it/s]\n50it [00:10, 4.78it/s]\n50it [00:10, 4.82it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.78it/s]\n2it [00:00, 4.77it/s]\n3it [00:00, 4.77it/s]\n4it [00:00, 4.77it/s]\n5it [00:01, 4.77it/s]\n6it [00:01, 4.77it/s]\n7it [00:01, 4.77it/s]\n8it [00:01, 4.77it/s]\n9it [00:01, 4.77it/s]\n10it [00:02, 4.76it/s]\n11it [00:02, 4.76it/s]\n12it [00:02, 4.77it/s]\n13it [00:02, 4.77it/s]\n14it [00:02, 4.77it/s]\n15it [00:03, 4.77it/s]\n16it [00:03, 4.77it/s]\n17it [00:03, 4.77it/s]\n18it [00:03, 4.78it/s]\n19it [00:03, 4.78it/s]\n20it [00:04, 4.78it/s]\n21it [00:04, 4.78it/s]\n22it [00:04, 4.77it/s]\n23it [00:04, 4.77it/s]\n24it [00:05, 4.76it/s]\n25it [00:05, 4.77it/s]\n26it [00:05, 4.78it/s]\n27it [00:05, 4.77it/s]\n28it [00:05, 4.77it/s]\n29it [00:06, 4.77it/s]\n30it [00:06, 4.77it/s]\n31it [00:06, 4.77it/s]\n32it [00:06, 4.76it/s]\n33it [00:06, 4.76it/s]\n34it [00:07, 4.76it/s]\n35it [00:07, 4.75it/s]\n36it [00:07, 4.77it/s]\n37it [00:07, 4.77it/s]\n38it [00:07, 4.77it/s]\n39it [00:08, 4.77it/s]\n40it [00:08, 4.77it/s]\n41it [00:08, 4.76it/s]\n42it [00:08, 4.76it/s]\n43it [00:09, 4.77it/s]\n44it [00:09, 4.76it/s]\n45it [00:09, 4.76it/s]\n46it [00:09, 4.76it/s]\n47it [00:09, 4.75it/s]\n48it [00:10, 4.76it/s]\n49it [00:10, 4.76it/s]\n50it [00:10, 4.76it/s]\n50it [00:10, 4.77it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.79it/s]\n2it [00:00, 4.77it/s]\n3it [00:00, 4.77it/s]\n4it [00:00, 4.76it/s]\n5it [00:01, 4.76it/s]\n6it [00:01, 4.76it/s]\n7it [00:01, 4.76it/s]\n8it [00:01, 4.76it/s]\n9it [00:01, 4.76it/s]\n10it [00:02, 4.76it/s]\n11it [00:02, 4.75it/s]\n12it [00:02, 4.75it/s]\n13it [00:02, 4.75it/s]\n14it [00:02, 4.76it/s]\n15it [00:03, 4.76it/s]\n16it [00:03, 4.76it/s]\n17it [00:03, 4.76it/s]\n18it [00:03, 4.75it/s]\n19it [00:03, 4.76it/s]\n20it [00:04, 4.76it/s]\n21it [00:04, 4.76it/s]\n22it [00:04, 4.76it/s]\n23it [00:04, 4.76it/s]\n24it [00:05, 4.76it/s]\n25it [00:05, 4.76it/s]\n26it [00:05, 4.77it/s]\n27it [00:05, 4.76it/s]\n28it [00:05, 4.76it/s]\n29it [00:06, 4.77it/s]\n30it [00:06, 4.76it/s]\n31it [00:06, 4.77it/s]\n32it [00:06, 4.77it/s]\n33it [00:06, 4.77it/s]\n34it [00:07, 4.77it/s]\n35it [00:07, 4.76it/s]\n36it [00:07, 4.75it/s]\n37it [00:07, 4.76it/s]\n38it [00:07, 4.75it/s]\n39it [00:08, 4.75it/s]\n40it [00:08, 4.75it/s]\n41it [00:08, 4.75it/s]\n42it [00:08, 4.75it/s]\n43it [00:09, 4.75it/s]\n44it [00:09, 4.75it/s]\n45it [00:09, 4.75it/s]\n46it [00:09, 4.75it/s]\n47it [00:09, 4.76it/s]\n48it [00:10, 4.76it/s]\n49it [00:10, 4.76it/s]\n50it [00:10, 4.76it/s]\n50it [00:10, 4.76it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.77it/s]\n2it [00:00, 4.77it/s]\n3it [00:00, 4.76it/s]\n4it [00:00, 4.75it/s]\n5it [00:01, 4.74it/s]\n6it [00:01, 4.73it/s]\n7it [00:01, 4.75it/s]\n8it [00:01, 4.75it/s]\n9it [00:01, 4.75it/s]\n10it [00:02, 4.74it/s]\n11it [00:02, 4.74it/s]\n12it [00:02, 4.74it/s]\n13it [00:02, 4.76it/s]\n14it [00:02, 4.75it/s]\n15it [00:03, 4.74it/s]\n16it [00:03, 4.74it/s]\n17it [00:03, 4.74it/s]\n18it [00:03, 4.75it/s]\n19it [00:04, 4.75it/s]\n20it [00:04, 4.75it/s]\n21it [00:04, 4.75it/s]\n22it [00:04, 4.75it/s]\n23it [00:04, 4.74it/s]\n24it [00:05, 4.75it/s]\n25it [00:05, 4.75it/s]\n26it [00:05, 4.75it/s]\n27it [00:05, 4.75it/s]\n28it [00:05, 4.75it/s]\n29it [00:06, 4.75it/s]\n30it [00:06, 4.76it/s]\n31it [00:06, 4.76it/s]\n32it [00:06, 4.76it/s]\n33it [00:06, 4.75it/s]\n34it [00:07, 4.75it/s]\n35it [00:07, 4.75it/s]\n36it [00:07, 4.75it/s]\n37it [00:07, 4.75it/s]\n38it [00:08, 4.74it/s]\n39it [00:08, 4.75it/s]\n40it [00:08, 4.74it/s]\n41it [00:08, 4.75it/s]\n42it [00:08, 4.75it/s]\n43it [00:09, 4.75it/s]\n44it [00:09, 4.76it/s]\n45it [00:09, 4.76it/s]\n46it [00:09, 4.76it/s]\n47it [00:09, 4.75it/s]\n48it [00:10, 4.75it/s]\n49it [00:10, 4.75it/s]\n50it [00:10, 4.76it/s]\n50it [00:10, 4.75it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 43.047156131, "total_time": 43.07341 }, "output": [ "https://replicate.delivery/xezq/vD4YwZR9Sgb1BtXIxzPquGoIHFVqcRnFF18Col48AM7jt4eJA/out-0.webp", "https://replicate.delivery/xezq/xi7TosBpWhb2Hh70teFLNPIaLeVW0EIyt9Av0O2YKFAP2i7TA/out-1.webp", "https://replicate.delivery/xezq/Lwk764LfqfmvyEcUenhTDcSubeRuWom6z0NxNReuE0q4xWcfE/out-2.webp", "https://replicate.delivery/xezq/x43YvqjpMsLyBpxUJtp5abOJHmgXpafNPYmI74s816hHbx9JA/out-3.webp" ], "started_at": "2024-12-16T19:11:32.243254Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-odaopi6o5etlb2st4mzaeewgpar3azrtgapounxwazl256ausqva", "get": "https://api.replicate.com/v1/predictions/5hrdteqzf5rmc0ckt3grz4rkqc", "cancel": "https://api.replicate.com/v1/predictions/5hrdteqzf5rmc0ckt3grz4rkqc/cancel" }, "version": "f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab" }
Generated in2024-12-16 19:11:32.242 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 19:11:32.242 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 94%|█████████▍| 285/304 [00:00<00:00, 2848.88it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2728.81it/s] 2024-12-16 19:11:32.354 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s 2024-12-16 19:11:32.355 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c 2024-12-16 19:11:32.477 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2024-12-16 19:11:32.477 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 19:11:32.477 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 94%|█████████▍| 287/304 [00:00<00:00, 2863.02it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2750.27it/s] 2024-12-16 19:11:32.588 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.23s Using seed: 37702 0it [00:00, ?it/s] 1it [00:00, 8.32it/s] 2it [00:00, 5.84it/s] 3it [00:00, 5.32it/s] 4it [00:00, 5.11it/s] 5it [00:00, 4.96it/s] 6it [00:01, 4.88it/s] 7it [00:01, 4.85it/s] 8it [00:01, 4.83it/s] 9it [00:01, 4.82it/s] 10it [00:02, 4.80it/s] 11it [00:02, 4.79it/s] 12it [00:02, 4.79it/s] 13it [00:02, 4.79it/s] 14it [00:02, 4.78it/s] 15it [00:03, 4.78it/s] 16it [00:03, 4.77it/s] 17it [00:03, 4.77it/s] 18it [00:03, 4.78it/s] 19it [00:03, 4.78it/s] 20it [00:04, 4.78it/s] 21it [00:04, 4.78it/s] 22it [00:04, 4.78it/s] 23it [00:04, 4.78it/s] 24it [00:04, 4.78it/s] 25it [00:05, 4.78it/s] 26it [00:05, 4.78it/s] 27it [00:05, 4.78it/s] 28it [00:05, 4.78it/s] 29it [00:05, 4.78it/s] 30it [00:06, 4.78it/s] 31it [00:06, 4.77it/s] 32it [00:06, 4.77it/s] 33it [00:06, 4.77it/s] 34it [00:07, 4.78it/s] 35it [00:07, 4.78it/s] 36it [00:07, 4.78it/s] 37it [00:07, 4.78it/s] 38it [00:07, 4.78it/s] 39it [00:08, 4.77it/s] 40it [00:08, 4.77it/s] 41it [00:08, 4.77it/s] 42it [00:08, 4.77it/s] 43it [00:08, 4.78it/s] 44it [00:09, 4.78it/s] 45it [00:09, 4.78it/s] 46it [00:09, 4.78it/s] 47it [00:09, 4.78it/s] 48it [00:09, 4.78it/s] 49it [00:10, 4.78it/s] 50it [00:10, 4.78it/s] 50it [00:10, 4.82it/s] 0it [00:00, ?it/s] 1it [00:00, 4.78it/s] 2it [00:00, 4.77it/s] 3it [00:00, 4.77it/s] 4it [00:00, 4.77it/s] 5it [00:01, 4.77it/s] 6it [00:01, 4.77it/s] 7it [00:01, 4.77it/s] 8it [00:01, 4.77it/s] 9it [00:01, 4.77it/s] 10it [00:02, 4.76it/s] 11it [00:02, 4.76it/s] 12it [00:02, 4.77it/s] 13it [00:02, 4.77it/s] 14it [00:02, 4.77it/s] 15it [00:03, 4.77it/s] 16it [00:03, 4.77it/s] 17it [00:03, 4.77it/s] 18it [00:03, 4.78it/s] 19it [00:03, 4.78it/s] 20it [00:04, 4.78it/s] 21it [00:04, 4.78it/s] 22it [00:04, 4.77it/s] 23it [00:04, 4.77it/s] 24it [00:05, 4.76it/s] 25it [00:05, 4.77it/s] 26it [00:05, 4.78it/s] 27it [00:05, 4.77it/s] 28it [00:05, 4.77it/s] 29it [00:06, 4.77it/s] 30it [00:06, 4.77it/s] 31it [00:06, 4.77it/s] 32it [00:06, 4.76it/s] 33it [00:06, 4.76it/s] 34it [00:07, 4.76it/s] 35it [00:07, 4.75it/s] 36it [00:07, 4.77it/s] 37it [00:07, 4.77it/s] 38it [00:07, 4.77it/s] 39it [00:08, 4.77it/s] 40it [00:08, 4.77it/s] 41it [00:08, 4.76it/s] 42it [00:08, 4.76it/s] 43it [00:09, 4.77it/s] 44it [00:09, 4.76it/s] 45it [00:09, 4.76it/s] 46it [00:09, 4.76it/s] 47it [00:09, 4.75it/s] 48it [00:10, 4.76it/s] 49it [00:10, 4.76it/s] 50it [00:10, 4.76it/s] 50it [00:10, 4.77it/s] 0it [00:00, ?it/s] 1it [00:00, 4.79it/s] 2it [00:00, 4.77it/s] 3it [00:00, 4.77it/s] 4it [00:00, 4.76it/s] 5it [00:01, 4.76it/s] 6it [00:01, 4.76it/s] 7it [00:01, 4.76it/s] 8it [00:01, 4.76it/s] 9it [00:01, 4.76it/s] 10it [00:02, 4.76it/s] 11it [00:02, 4.75it/s] 12it [00:02, 4.75it/s] 13it [00:02, 4.75it/s] 14it [00:02, 4.76it/s] 15it [00:03, 4.76it/s] 16it [00:03, 4.76it/s] 17it [00:03, 4.76it/s] 18it [00:03, 4.75it/s] 19it [00:03, 4.76it/s] 20it [00:04, 4.76it/s] 21it [00:04, 4.76it/s] 22it [00:04, 4.76it/s] 23it [00:04, 4.76it/s] 24it [00:05, 4.76it/s] 25it [00:05, 4.76it/s] 26it [00:05, 4.77it/s] 27it [00:05, 4.76it/s] 28it [00:05, 4.76it/s] 29it [00:06, 4.77it/s] 30it [00:06, 4.76it/s] 31it [00:06, 4.77it/s] 32it [00:06, 4.77it/s] 33it [00:06, 4.77it/s] 34it [00:07, 4.77it/s] 35it [00:07, 4.76it/s] 36it [00:07, 4.75it/s] 37it [00:07, 4.76it/s] 38it [00:07, 4.75it/s] 39it [00:08, 4.75it/s] 40it [00:08, 4.75it/s] 41it [00:08, 4.75it/s] 42it [00:08, 4.75it/s] 43it [00:09, 4.75it/s] 44it [00:09, 4.75it/s] 45it [00:09, 4.75it/s] 46it [00:09, 4.75it/s] 47it [00:09, 4.76it/s] 48it [00:10, 4.76it/s] 49it [00:10, 4.76it/s] 50it [00:10, 4.76it/s] 50it [00:10, 4.76it/s] 0it [00:00, ?it/s] 1it [00:00, 4.77it/s] 2it [00:00, 4.77it/s] 3it [00:00, 4.76it/s] 4it [00:00, 4.75it/s] 5it [00:01, 4.74it/s] 6it [00:01, 4.73it/s] 7it [00:01, 4.75it/s] 8it [00:01, 4.75it/s] 9it [00:01, 4.75it/s] 10it [00:02, 4.74it/s] 11it [00:02, 4.74it/s] 12it [00:02, 4.74it/s] 13it [00:02, 4.76it/s] 14it [00:02, 4.75it/s] 15it [00:03, 4.74it/s] 16it [00:03, 4.74it/s] 17it [00:03, 4.74it/s] 18it [00:03, 4.75it/s] 19it [00:04, 4.75it/s] 20it [00:04, 4.75it/s] 21it [00:04, 4.75it/s] 22it [00:04, 4.75it/s] 23it [00:04, 4.74it/s] 24it [00:05, 4.75it/s] 25it [00:05, 4.75it/s] 26it [00:05, 4.75it/s] 27it [00:05, 4.75it/s] 28it [00:05, 4.75it/s] 29it [00:06, 4.75it/s] 30it [00:06, 4.76it/s] 31it [00:06, 4.76it/s] 32it [00:06, 4.76it/s] 33it [00:06, 4.75it/s] 34it [00:07, 4.75it/s] 35it [00:07, 4.75it/s] 36it [00:07, 4.75it/s] 37it [00:07, 4.75it/s] 38it [00:08, 4.74it/s] 39it [00:08, 4.75it/s] 40it [00:08, 4.74it/s] 41it [00:08, 4.75it/s] 42it [00:08, 4.75it/s] 43it [00:09, 4.75it/s] 44it [00:09, 4.76it/s] 45it [00:09, 4.76it/s] 46it [00:09, 4.76it/s] 47it [00:09, 4.75it/s] 48it [00:10, 4.75it/s] 49it [00:10, 4.75it/s] 50it [00:10, 4.76it/s] 50it [00:10, 4.75it/s] Total safe images: 4 out of 4
Prediction
roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fabIDkkbh57w5m1rm80ckt3krddasvcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- AVATAR 3D stylized avatar, round head, smooth matte texture, light skin tone with freckles, wavy hair with felt texture, short, colorful beanie, goofy emotion, downturned eyes, thick fluffy brown eyebrows, small round nose, open mouth with thin lips, pastel orange background, soft studio lighting
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- prompt_strength
- 1
- extra_lora_scale
- 1
- num_inference_steps
- 50
{ "image": "https://replicate.delivery/pbxt/M9iQGoPKmWIWUHSeFdJheCcxlL8s4TdnWyzigoMcJaUg8Bb3/telegram-cloud-photo-size-2-3131797956931463330-c.jpg", "model": "dev", "prompt": "AVATAR 3D stylized avatar, round head, smooth matte texture, light skin tone with freckles, wavy hair with felt texture, short, colorful beanie, goofy emotion, downturned eyes, thick fluffy brown eyebrows, small round nose, open mouth with thin lips, pastel orange background, soft studio lighting", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", { input: { image: "https://replicate.delivery/pbxt/M9iQGoPKmWIWUHSeFdJheCcxlL8s4TdnWyzigoMcJaUg8Bb3/telegram-cloud-photo-size-2-3131797956931463330-c.jpg", model: "dev", prompt: "AVATAR 3D stylized avatar, round head, smooth matte texture, light skin tone with freckles, wavy hair with felt texture, short, colorful beanie, goofy emotion, downturned eyes, thick fluffy brown eyebrows, small round nose, open mouth with thin lips, pastel orange background, soft studio lighting", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, prompt_strength: 1, extra_lora_scale: 1, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", input={ "image": "https://replicate.delivery/pbxt/M9iQGoPKmWIWUHSeFdJheCcxlL8s4TdnWyzigoMcJaUg8Bb3/telegram-cloud-photo-size-2-3131797956931463330-c.jpg", "model": "dev", "prompt": "AVATAR 3D stylized avatar, round head, smooth matte texture, light skin tone with freckles, wavy hair with felt texture, short, colorful beanie, goofy emotion, downturned eyes, thick fluffy brown eyebrows, small round nose, open mouth with thin lips, pastel orange background, soft studio lighting", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", "input": { "image": "https://replicate.delivery/pbxt/M9iQGoPKmWIWUHSeFdJheCcxlL8s4TdnWyzigoMcJaUg8Bb3/telegram-cloud-photo-size-2-3131797956931463330-c.jpg", "model": "dev", "prompt": "AVATAR 3D stylized avatar, round head, smooth matte texture, light skin tone with freckles, wavy hair with felt texture, short, colorful beanie, goofy emotion, downturned eyes, thick fluffy brown eyebrows, small round nose, open mouth with thin lips, pastel orange background, soft studio lighting", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-16T19:17:59.315469Z", "created_at": "2024-12-16T19:17:34.240000Z", "data_removed": false, "error": null, "id": "kkbh57w5m1rm80ckt3krddasvc", "input": { "image": "https://replicate.delivery/pbxt/M9iQGoPKmWIWUHSeFdJheCcxlL8s4TdnWyzigoMcJaUg8Bb3/telegram-cloud-photo-size-2-3131797956931463330-c.jpg", "model": "dev", "prompt": "AVATAR 3D stylized avatar, round head, smooth matte texture, light skin tone with freckles, wavy hair with felt texture, short, colorful beanie, goofy emotion, downturned eyes, thick fluffy brown eyebrows, small round nose, open mouth with thin lips, pastel orange background, soft studio lighting", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 50 }, "logs": "2024-12-16 19:17:36.510 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 19:17:36.510 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 94%|█████████▍| 286/304 [00:00<00:00, 2854.58it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2760.10it/s]\n2024-12-16 19:17:36.621 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=29093968850944\nDownloading weights\n2024-12-16T19:17:36Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpwrlrpwyo/weights url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar\n2024-12-16T19:17:39Z | INFO | [ Complete ] dest=/tmp/tmpwrlrpwyo/weights size=\"172 MB\" total_elapsed=3.086s url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar\nDownloaded weights in 3.11s\n2024-12-16 19:17:39.731 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c\n2024-12-16 19:17:39.800 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-16 19:17:39.800 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 19:17:39.800 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 94%|█████████▍| 286/304 [00:00<00:00, 2855.35it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2760.62it/s]\n2024-12-16 19:17:39.910 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s\nUsing seed: 35341\nImage detected - settting to img2img mode\nInput image size: 640x640\nInput image size set to: 640x640\n0it [00:00, ?it/s]\n2it [00:00, 14.05it/s]\n4it [00:00, 12.27it/s]\n6it [00:00, 11.79it/s]\n8it [00:00, 11.59it/s]\n10it [00:00, 11.47it/s]\n12it [00:01, 11.39it/s]\n14it [00:01, 11.35it/s]\n16it [00:01, 11.32it/s]\n18it [00:01, 11.31it/s]\n20it [00:01, 11.30it/s]\n22it [00:01, 11.29it/s]\n24it [00:02, 11.29it/s]\n26it [00:02, 11.28it/s]\n28it [00:02, 11.28it/s]\n30it [00:02, 11.28it/s]\n32it [00:02, 11.27it/s]\n34it [00:02, 11.27it/s]\n36it [00:03, 11.27it/s]\n38it [00:03, 11.26it/s]\n40it [00:03, 11.26it/s]\n42it [00:03, 11.26it/s]\n44it [00:03, 11.27it/s]\n46it [00:04, 11.27it/s]\n48it [00:04, 11.24it/s]\n50it [00:04, 11.24it/s]\n50it [00:04, 11.35it/s]\n0it [00:00, ?it/s]\n2it [00:00, 11.28it/s]\n4it [00:00, 11.27it/s]\n6it [00:00, 11.26it/s]\n8it [00:00, 11.25it/s]\n10it [00:00, 11.25it/s]\n12it [00:01, 11.25it/s]\n14it [00:01, 11.25it/s]\n16it [00:01, 11.26it/s]\n18it [00:01, 11.26it/s]\n20it [00:01, 11.27it/s]\n22it [00:01, 11.27it/s]\n24it [00:02, 11.27it/s]\n26it [00:02, 11.27it/s]\n28it [00:02, 11.27it/s]\n30it [00:02, 11.27it/s]\n32it [00:02, 11.26it/s]\n34it [00:03, 11.27it/s]\n36it [00:03, 11.27it/s]\n38it [00:03, 11.27it/s]\n40it [00:03, 11.27it/s]\n42it [00:03, 11.24it/s]\n44it [00:03, 11.26it/s]\n46it [00:04, 11.26it/s]\n48it [00:04, 11.25it/s]\n50it [00:04, 11.26it/s]\n50it [00:04, 11.26it/s]\n0it [00:00, ?it/s]\n2it [00:00, 11.32it/s]\n4it [00:00, 11.28it/s]\n6it [00:00, 11.26it/s]\n8it [00:00, 11.26it/s]\n10it [00:00, 11.26it/s]\n12it [00:01, 11.26it/s]\n14it [00:01, 11.26it/s]\n16it [00:01, 11.27it/s]\n18it [00:01, 11.27it/s]\n20it [00:01, 11.26it/s]\n22it [00:01, 11.26it/s]\n24it [00:02, 11.27it/s]\n26it [00:02, 11.27it/s]\n28it [00:02, 11.27it/s]\n30it [00:02, 11.26it/s]\n32it [00:02, 11.26it/s]\n34it [00:03, 11.27it/s]\n36it [00:03, 11.26it/s]\n38it [00:03, 11.27it/s]\n40it [00:03, 11.26it/s]\n42it [00:03, 11.26it/s]\n44it [00:03, 11.26it/s]\n46it [00:04, 11.26it/s]\n48it [00:04, 11.27it/s]\n50it [00:04, 11.26it/s]\n50it [00:04, 11.26it/s]\n0it [00:00, ?it/s]\n2it [00:00, 11.31it/s]\n4it [00:00, 11.27it/s]\n6it [00:00, 11.26it/s]\n8it [00:00, 11.27it/s]\n10it [00:00, 11.27it/s]\n12it [00:01, 11.26it/s]\n14it [00:01, 11.26it/s]\n16it [00:01, 11.26it/s]\n18it [00:01, 11.26it/s]\n20it [00:01, 11.26it/s]\n22it [00:01, 11.26it/s]\n24it [00:02, 11.26it/s]\n26it [00:02, 11.27it/s]\n28it [00:02, 11.26it/s]\n30it [00:02, 11.26it/s]\n32it [00:02, 11.26it/s]\n34it [00:03, 11.26it/s]\n36it [00:03, 11.26it/s]\n38it [00:03, 11.26it/s]\n40it [00:03, 11.26it/s]\n42it [00:03, 11.26it/s]\n44it [00:03, 11.26it/s]\n46it [00:04, 11.26it/s]\n48it [00:04, 11.27it/s]\n50it [00:04, 11.27it/s]\n50it [00:04, 11.26it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 22.994377476, "total_time": 25.075469 }, "output": [ "https://replicate.delivery/xezq/EYU6T2IhQ5I4E5e0Tt8rfFP7BGViXV5A575tGbxNIoZn7i7TA/out-0.webp", "https://replicate.delivery/xezq/eQckQ0VHeqkj6U7GcqCNGJRqiqsazbLnIB8rBEJZWbyn7i7TA/out-1.webp", "https://replicate.delivery/xezq/IkhP10Og3AYONp4I9WhilHQajpIXHjpfQMqyRRfzBmMn7i7TA/out-2.webp", "https://replicate.delivery/xezq/u18l55eSxW2oeknNpVUn5Q4Y2B3OZodiOylExreXYO8P3F3nA/out-3.webp" ], "started_at": "2024-12-16T19:17:36.321092Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-4pqor4bmqbnyyldrogcsbuy2rqgixth52ndc7doxeqxeyj3xopga", "get": "https://api.replicate.com/v1/predictions/kkbh57w5m1rm80ckt3krddasvc", "cancel": "https://api.replicate.com/v1/predictions/kkbh57w5m1rm80ckt3krddasvc/cancel" }, "version": "f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab" }
Generated in2024-12-16 19:17:36.510 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 19:17:36.510 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 94%|█████████▍| 286/304 [00:00<00:00, 2854.58it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2760.10it/s] 2024-12-16 19:17:36.621 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s free=29093968850944 Downloading weights 2024-12-16T19:17:36Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpwrlrpwyo/weights url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar 2024-12-16T19:17:39Z | INFO | [ Complete ] dest=/tmp/tmpwrlrpwyo/weights size="172 MB" total_elapsed=3.086s url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar Downloaded weights in 3.11s 2024-12-16 19:17:39.731 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c 2024-12-16 19:17:39.800 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2024-12-16 19:17:39.800 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 19:17:39.800 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 94%|█████████▍| 286/304 [00:00<00:00, 2855.35it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2760.62it/s] 2024-12-16 19:17:39.910 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s Using seed: 35341 Image detected - settting to img2img mode Input image size: 640x640 Input image size set to: 640x640 0it [00:00, ?it/s] 2it [00:00, 14.05it/s] 4it [00:00, 12.27it/s] 6it [00:00, 11.79it/s] 8it [00:00, 11.59it/s] 10it [00:00, 11.47it/s] 12it [00:01, 11.39it/s] 14it [00:01, 11.35it/s] 16it [00:01, 11.32it/s] 18it [00:01, 11.31it/s] 20it [00:01, 11.30it/s] 22it [00:01, 11.29it/s] 24it [00:02, 11.29it/s] 26it [00:02, 11.28it/s] 28it [00:02, 11.28it/s] 30it [00:02, 11.28it/s] 32it [00:02, 11.27it/s] 34it [00:02, 11.27it/s] 36it [00:03, 11.27it/s] 38it [00:03, 11.26it/s] 40it [00:03, 11.26it/s] 42it [00:03, 11.26it/s] 44it [00:03, 11.27it/s] 46it [00:04, 11.27it/s] 48it [00:04, 11.24it/s] 50it [00:04, 11.24it/s] 50it [00:04, 11.35it/s] 0it [00:00, ?it/s] 2it [00:00, 11.28it/s] 4it [00:00, 11.27it/s] 6it [00:00, 11.26it/s] 8it [00:00, 11.25it/s] 10it [00:00, 11.25it/s] 12it [00:01, 11.25it/s] 14it [00:01, 11.25it/s] 16it [00:01, 11.26it/s] 18it [00:01, 11.26it/s] 20it [00:01, 11.27it/s] 22it [00:01, 11.27it/s] 24it [00:02, 11.27it/s] 26it [00:02, 11.27it/s] 28it [00:02, 11.27it/s] 30it [00:02, 11.27it/s] 32it [00:02, 11.26it/s] 34it [00:03, 11.27it/s] 36it [00:03, 11.27it/s] 38it [00:03, 11.27it/s] 40it [00:03, 11.27it/s] 42it [00:03, 11.24it/s] 44it [00:03, 11.26it/s] 46it [00:04, 11.26it/s] 48it [00:04, 11.25it/s] 50it [00:04, 11.26it/s] 50it [00:04, 11.26it/s] 0it [00:00, ?it/s] 2it [00:00, 11.32it/s] 4it [00:00, 11.28it/s] 6it [00:00, 11.26it/s] 8it [00:00, 11.26it/s] 10it [00:00, 11.26it/s] 12it [00:01, 11.26it/s] 14it [00:01, 11.26it/s] 16it [00:01, 11.27it/s] 18it [00:01, 11.27it/s] 20it [00:01, 11.26it/s] 22it [00:01, 11.26it/s] 24it [00:02, 11.27it/s] 26it [00:02, 11.27it/s] 28it [00:02, 11.27it/s] 30it [00:02, 11.26it/s] 32it [00:02, 11.26it/s] 34it [00:03, 11.27it/s] 36it [00:03, 11.26it/s] 38it [00:03, 11.27it/s] 40it [00:03, 11.26it/s] 42it [00:03, 11.26it/s] 44it [00:03, 11.26it/s] 46it [00:04, 11.26it/s] 48it [00:04, 11.27it/s] 50it [00:04, 11.26it/s] 50it [00:04, 11.26it/s] 0it [00:00, ?it/s] 2it [00:00, 11.31it/s] 4it [00:00, 11.27it/s] 6it [00:00, 11.26it/s] 8it [00:00, 11.27it/s] 10it [00:00, 11.27it/s] 12it [00:01, 11.26it/s] 14it [00:01, 11.26it/s] 16it [00:01, 11.26it/s] 18it [00:01, 11.26it/s] 20it [00:01, 11.26it/s] 22it [00:01, 11.26it/s] 24it [00:02, 11.26it/s] 26it [00:02, 11.27it/s] 28it [00:02, 11.26it/s] 30it [00:02, 11.26it/s] 32it [00:02, 11.26it/s] 34it [00:03, 11.26it/s] 36it [00:03, 11.26it/s] 38it [00:03, 11.26it/s] 40it [00:03, 11.26it/s] 42it [00:03, 11.26it/s] 44it [00:03, 11.26it/s] 46it [00:04, 11.26it/s] 48it [00:04, 11.27it/s] 50it [00:04, 11.27it/s] 50it [00:04, 11.26it/s] Total safe images: 4 out of 4
Prediction
roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fabIDyw1b46yq11rm80ckt41a4jb9mwStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- AVATAR 3D stylized avatar, round head, smooth matte texture, reddish skin tone, shaved hair with sponge texture, short, accessories, 3D Emojies grumpy expression, hooded eyes, thick fluffy dark eyebrows, small round nose, closed mouth with thin lips, pastel green background, soft studio lighting
- go_fast
- extra_lora
- huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- prompt_strength
- 1
- extra_lora_scale
- 0.8
- num_inference_steps
- 50
{ "model": "dev", "prompt": "AVATAR 3D stylized avatar, round head, smooth matte texture, reddish skin tone, shaved hair with sponge texture, short, accessories, 3D Emojies grumpy expression, hooded eyes, thick fluffy dark eyebrows, small round nose, closed mouth with thin lips, pastel green background, soft studio lighting ", "go_fast": false, "extra_lora": "huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA", "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 0.8, "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", { input: { model: "dev", prompt: "AVATAR 3D stylized avatar, round head, smooth matte texture, reddish skin tone, shaved hair with sponge texture, short, accessories, 3D Emojies grumpy expression, hooded eyes, thick fluffy dark eyebrows, small round nose, closed mouth with thin lips, pastel green background, soft studio lighting ", go_fast: false, extra_lora: "huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA", lora_scale: 1, megapixels: "1", num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, prompt_strength: 1, extra_lora_scale: 0.8, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", input={ "model": "dev", "prompt": "AVATAR 3D stylized avatar, round head, smooth matte texture, reddish skin tone, shaved hair with sponge texture, short, accessories, 3D Emojies grumpy expression, hooded eyes, thick fluffy dark eyebrows, small round nose, closed mouth with thin lips, pastel green background, soft studio lighting ", "go_fast": False, "extra_lora": "huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA", "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", "input": { "model": "dev", "prompt": "AVATAR 3D stylized avatar, round head, smooth matte texture, reddish skin tone, shaved hair with sponge texture, short, accessories, 3D Emojies grumpy expression, hooded eyes, thick fluffy dark eyebrows, small round nose, closed mouth with thin lips, pastel green background, soft studio lighting ", "go_fast": false, "extra_lora": "huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA", "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-16T19:48:28.413135Z", "created_at": "2024-12-16T19:47:24.552000Z", "data_removed": false, "error": null, "id": "yw1b46yq11rm80ckt41a4jb9mw", "input": { "model": "dev", "prompt": "AVATAR 3D stylized avatar, round head, smooth matte texture, reddish skin tone, shaved hair with sponge texture, short, accessories, 3D Emojies grumpy expression, hooded eyes, thick fluffy dark eyebrows, small round nose, closed mouth with thin lips, pastel green background, soft studio lighting ", "go_fast": false, "extra_lora": "huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA", "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 0.8, "num_inference_steps": 50 }, "logs": "2024-12-16 19:47:30.147 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 19:47:30.147 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 281/304 [00:00<00:00, 2803.53it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2638.60it/s]\n2024-12-16 19:47:30.263 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\nfree=29055524450304\nDownloading weights\n2024-12-16T19:47:30Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/b9b3b8b6620fd402 url=https://huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA/resolve/main/Flux-3D-Emojies-Mation.safetensors\n2024-12-16T19:47:30Z | INFO | [ Redirect ] redirect_url=https://cdn-lfs-us-1.hf.co/repos/3a/e3/3ae322d19b9d0f914801f1a9ef059ce8cea0bc224daf09bcc229bef8f488449a/ae9a9377825aff7b82c5e7214dfd4a5bda3159dfd2436ec26104ecb407861042?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27Flux-3D-Emojies-Mation.safetensors%3B+filename%3D%22Flux-3D-Emojies-Mation.safetensors%22%3B&Expires=1734637650&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTczNDYzNzY1MH19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmhmLmNvL3JlcG9zLzNhL2UzLzNhZTMyMmQxOWI5ZDBmOTE0ODAxZjFhOWVmMDU5Y2U4Y2VhMGJjMjI0ZGFmMDliY2MyMjliZWY4ZjQ4ODQ0OWEvYWU5YTkzNzc4MjVhZmY3YjgyYzVlNzIxNGRmZDRhNWJkYTMxNTlkZmQyNDM2ZWMyNjEwNGVjYjQwNzg2MTA0Mj9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=DDJizMs71yals9iaHJ0kYoewQyTpGjyjh6zo0VeAORDxHLYTb%7EEbAQlyOaqoPEpelVwfKORMi94itpacTLkKDorooDxyih9p8jB-LNogzUfrNvxczNnBtw6lnExlhJlPeYlFCRzIERT4-DVIgc-GYacu2ZmapCUG5fi5nLp6B1tp6-Egl-avZGjL43SCsGU%7EkeTZ2a1G3gYiCeS3R2fOvG7GCB8eWn0QK4tawDV%7EyGdQhdroUfCXfrwY1iE%7E30JqHq4ZASUflWaxo9VqJqx7Yq8tfrgOZMFLsVmTiS7QUs3ttA6OdHCTZwPfXb5wHmNyKvP2TCP-K1EqRrFZa2Gagg__&Key-Pair-Id=K24J24Z295AEI9 url=https://huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA/resolve/main/Flux-3D-Emojies-Mation.safetensors\n2024-12-16T19:47:45Z | INFO | [ Complete ] dest=/src/weights-cache/b9b3b8b6620fd402 size=\"613 MB\" total_elapsed=14.845s url=https://huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA/resolve/main/Flux-3D-Emojies-Mation.safetensors\nDownloaded weights in 14.89s\n2024-12-16 19:47:45.295 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c\n2024-12-16 19:47:45.368 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-16 19:47:45.368 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 19:47:45.369 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 281/304 [00:00<00:00, 2807.22it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2641.48it/s]\n2024-12-16 19:47:45.484 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\n2024-12-16 19:47:45.484 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/b9b3b8b6620fd402\n2024-12-16 19:47:45.676 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-16 19:47:45.676 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-16 19:47:45.676 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 281/304 [00:00<00:00, 2807.57it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2640.63it/s]\n2024-12-16 19:47:45.792 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.31s\nUsing seed: 57825\n0it [00:00, ?it/s]\n1it [00:00, 8.32it/s]\n2it [00:00, 5.83it/s]\n3it [00:00, 5.32it/s]\n4it [00:00, 5.10it/s]\n5it [00:00, 4.99it/s]\n6it [00:01, 4.91it/s]\n7it [00:01, 4.87it/s]\n8it [00:01, 4.85it/s]\n9it [00:01, 4.84it/s]\n10it [00:01, 4.82it/s]\n11it [00:02, 4.81it/s]\n12it [00:02, 4.80it/s]\n13it [00:02, 4.81it/s]\n14it [00:02, 4.81it/s]\n15it [00:03, 4.81it/s]\n16it [00:03, 4.80it/s]\n17it [00:03, 4.80it/s]\n18it [00:03, 4.79it/s]\n19it [00:03, 4.80it/s]\n20it [00:04, 4.80it/s]\n21it [00:04, 4.80it/s]\n22it [00:04, 4.80it/s]\n23it [00:04, 4.79it/s]\n24it [00:04, 4.80it/s]\n25it [00:05, 4.80it/s]\n26it [00:05, 4.80it/s]\n27it [00:05, 4.80it/s]\n28it [00:05, 4.79it/s]\n29it [00:05, 4.80it/s]\n30it [00:06, 4.80it/s]\n31it [00:06, 4.80it/s]\n32it [00:06, 4.79it/s]\n33it [00:06, 4.79it/s]\n34it [00:06, 4.79it/s]\n35it [00:07, 4.79it/s]\n36it [00:07, 4.79it/s]\n37it [00:07, 4.79it/s]\n38it [00:07, 4.79it/s]\n39it [00:08, 4.79it/s]\n40it [00:08, 4.79it/s]\n41it [00:08, 4.79it/s]\n42it [00:08, 4.79it/s]\n43it [00:08, 4.79it/s]\n44it [00:09, 4.79it/s]\n45it [00:09, 4.79it/s]\n46it [00:09, 4.79it/s]\n47it [00:09, 4.79it/s]\n48it [00:09, 4.79it/s]\n49it [00:10, 4.79it/s]\n50it 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[00:08, 4.77it/s]\n41it [00:08, 4.77it/s]\n42it [00:08, 4.76it/s]\n43it [00:09, 4.76it/s]\n44it [00:09, 4.75it/s]\n45it [00:09, 4.75it/s]\n46it [00:09, 4.75it/s]\n47it [00:09, 4.74it/s]\n48it [00:10, 4.75it/s]\n49it [00:10, 4.75it/s]\n50it [00:10, 4.75it/s]\n50it [00:10, 4.77it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.81it/s]\n2it [00:00, 4.76it/s]\n3it [00:00, 4.74it/s]\n4it [00:00, 4.73it/s]\n5it [00:01, 4.74it/s]\n6it [00:01, 4.73it/s]\n7it [00:01, 4.74it/s]\n8it [00:01, 4.73it/s]\n9it [00:01, 4.74it/s]\n10it [00:02, 4.74it/s]\n11it [00:02, 4.74it/s]\n12it [00:02, 4.74it/s]\n13it [00:02, 4.74it/s]\n14it [00:02, 4.73it/s]\n15it [00:03, 4.74it/s]\n16it [00:03, 4.75it/s]\n17it [00:03, 4.75it/s]\n18it [00:03, 4.74it/s]\n19it [00:04, 4.75it/s]\n20it [00:04, 4.74it/s]\n21it [00:04, 4.74it/s]\n22it [00:04, 4.74it/s]\n23it [00:04, 4.73it/s]\n24it [00:05, 4.73it/s]\n25it [00:05, 4.73it/s]\n26it [00:05, 4.73it/s]\n27it [00:05, 4.75it/s]\n28it [00:05, 4.76it/s]\n29it [00:06, 4.76it/s]\n30it [00:06, 4.75it/s]\n31it [00:06, 4.76it/s]\n32it [00:06, 4.77it/s]\n33it [00:06, 4.77it/s]\n34it [00:07, 4.77it/s]\n35it [00:07, 4.76it/s]\n36it [00:07, 4.76it/s]\n37it [00:07, 4.77it/s]\n38it [00:08, 4.77it/s]\n39it [00:08, 4.78it/s]\n40it [00:08, 4.77it/s]\n41it [00:08, 4.77it/s]\n42it [00:08, 4.77it/s]\n43it [00:09, 4.77it/s]\n44it [00:09, 4.77it/s]\n45it [00:09, 4.77it/s]\n46it [00:09, 4.77it/s]\n47it [00:09, 4.77it/s]\n48it [00:10, 4.78it/s]\n49it [00:10, 4.78it/s]\n50it [00:10, 4.78it/s]\n50it [00:10, 4.75it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.81it/s]\n2it [00:00, 4.79it/s]\n3it [00:00, 4.79it/s]\n4it [00:00, 4.78it/s]\n5it [00:01, 4.77it/s]\n6it [00:01, 4.77it/s]\n7it [00:01, 4.77it/s]\n8it [00:01, 4.77it/s]\n9it [00:01, 4.76it/s]\n10it [00:02, 4.76it/s]\n11it [00:02, 4.76it/s]\n12it [00:02, 4.76it/s]\n13it [00:02, 4.76it/s]\n14it [00:02, 4.76it/s]\n15it [00:03, 4.76it/s]\n16it [00:03, 4.76it/s]\n17it [00:03, 4.77it/s]\n18it [00:03, 4.78it/s]\n19it [00:03, 4.77it/s]\n20it [00:04, 4.76it/s]\n21it [00:04, 4.76it/s]\n22it [00:04, 4.76it/s]\n23it [00:04, 4.76it/s]\n24it [00:05, 4.76it/s]\n25it [00:05, 4.76it/s]\n26it [00:05, 4.76it/s]\n27it [00:05, 4.77it/s]\n28it [00:05, 4.77it/s]\n29it [00:06, 4.78it/s]\n30it [00:06, 4.77it/s]\n31it [00:06, 4.77it/s]\n32it [00:06, 4.77it/s]\n33it [00:06, 4.77it/s]\n34it [00:07, 4.77it/s]\n35it [00:07, 4.77it/s]\n36it [00:07, 4.77it/s]\n37it [00:07, 4.77it/s]\n38it [00:07, 4.77it/s]\n39it [00:08, 4.78it/s]\n40it [00:08, 4.78it/s]\n41it [00:08, 4.78it/s]\n42it [00:08, 4.78it/s]\n43it [00:09, 4.77it/s]\n44it [00:09, 4.77it/s]\n45it [00:09, 4.77it/s]\n46it [00:09, 4.76it/s]\n47it [00:09, 4.77it/s]\n48it [00:10, 4.78it/s]\n49it [00:10, 4.78it/s]\n50it [00:10, 4.78it/s]\n50it [00:10, 4.77it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 58.265578658, "total_time": 63.861135 }, "output": [ "https://replicate.delivery/xezq/e14mLF5FTHz3Zi8iAUkIP7Wfg4f9AzIexlHfoHeABgoDD24eJA/out-0.webp", "https://replicate.delivery/xezq/p8vTEctfeCvM70aWN31X2ISnbZz4eh1B2BbN8Uw8Jv8YwG3nA/out-1.webp", "https://replicate.delivery/xezq/8HEc9LzGwCY4OVEbkoV3BZRMEGKiiaxse0qZaHPiKJSGsx9JA/out-2.webp", "https://replicate.delivery/xezq/5GArKYkJEgruGZ9pMC8AvkbtS2cHUouIL2BTyAwTICBD24eJA/out-3.webp" ], "started_at": "2024-12-16T19:47:30.147557Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-lpggky4di2ugqirgann5ipdxpnmsdcxk24v3p7j73b7jiafjdy3a", "get": "https://api.replicate.com/v1/predictions/yw1b46yq11rm80ckt41a4jb9mw", "cancel": "https://api.replicate.com/v1/predictions/yw1b46yq11rm80ckt41a4jb9mw/cancel" }, "version": "f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab" }
Generated in2024-12-16 19:47:30.147 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 19:47:30.147 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 92%|█████████▏| 281/304 [00:00<00:00, 2803.53it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2638.60it/s] 2024-12-16 19:47:30.263 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s free=29055524450304 Downloading weights 2024-12-16T19:47:30Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/b9b3b8b6620fd402 url=https://huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA/resolve/main/Flux-3D-Emojies-Mation.safetensors 2024-12-16T19:47:30Z | INFO | [ Redirect ] redirect_url=https://cdn-lfs-us-1.hf.co/repos/3a/e3/3ae322d19b9d0f914801f1a9ef059ce8cea0bc224daf09bcc229bef8f488449a/ae9a9377825aff7b82c5e7214dfd4a5bda3159dfd2436ec26104ecb407861042?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27Flux-3D-Emojies-Mation.safetensors%3B+filename%3D%22Flux-3D-Emojies-Mation.safetensors%22%3B&Expires=1734637650&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTczNDYzNzY1MH19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmhmLmNvL3JlcG9zLzNhL2UzLzNhZTMyMmQxOWI5ZDBmOTE0ODAxZjFhOWVmMDU5Y2U4Y2VhMGJjMjI0ZGFmMDliY2MyMjliZWY4ZjQ4ODQ0OWEvYWU5YTkzNzc4MjVhZmY3YjgyYzVlNzIxNGRmZDRhNWJkYTMxNTlkZmQyNDM2ZWMyNjEwNGVjYjQwNzg2MTA0Mj9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=DDJizMs71yals9iaHJ0kYoewQyTpGjyjh6zo0VeAORDxHLYTb%7EEbAQlyOaqoPEpelVwfKORMi94itpacTLkKDorooDxyih9p8jB-LNogzUfrNvxczNnBtw6lnExlhJlPeYlFCRzIERT4-DVIgc-GYacu2ZmapCUG5fi5nLp6B1tp6-Egl-avZGjL43SCsGU%7EkeTZ2a1G3gYiCeS3R2fOvG7GCB8eWn0QK4tawDV%7EyGdQhdroUfCXfrwY1iE%7E30JqHq4ZASUflWaxo9VqJqx7Yq8tfrgOZMFLsVmTiS7QUs3ttA6OdHCTZwPfXb5wHmNyKvP2TCP-K1EqRrFZa2Gagg__&Key-Pair-Id=K24J24Z295AEI9 url=https://huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA/resolve/main/Flux-3D-Emojies-Mation.safetensors 2024-12-16T19:47:45Z | INFO | [ Complete ] dest=/src/weights-cache/b9b3b8b6620fd402 size="613 MB" total_elapsed=14.845s url=https://huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA/resolve/main/Flux-3D-Emojies-Mation.safetensors Downloaded weights in 14.89s 2024-12-16 19:47:45.295 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c 2024-12-16 19:47:45.368 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2024-12-16 19:47:45.368 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 19:47:45.369 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 92%|█████████▏| 281/304 [00:00<00:00, 2807.22it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2641.48it/s] 2024-12-16 19:47:45.484 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s 2024-12-16 19:47:45.484 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/b9b3b8b6620fd402 2024-12-16 19:47:45.676 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2024-12-16 19:47:45.676 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-16 19:47:45.676 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 92%|█████████▏| 281/304 [00:00<00:00, 2807.57it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2640.63it/s] 2024-12-16 19:47:45.792 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.31s Using seed: 57825 0it [00:00, ?it/s] 1it [00:00, 8.32it/s] 2it [00:00, 5.83it/s] 3it [00:00, 5.32it/s] 4it [00:00, 5.10it/s] 5it [00:00, 4.99it/s] 6it [00:01, 4.91it/s] 7it [00:01, 4.87it/s] 8it [00:01, 4.85it/s] 9it [00:01, 4.84it/s] 10it [00:01, 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30it [00:06, 4.77it/s] 31it [00:06, 4.77it/s] 32it [00:06, 4.77it/s] 33it [00:06, 4.77it/s] 34it [00:07, 4.77it/s] 35it [00:07, 4.77it/s] 36it [00:07, 4.77it/s] 37it [00:07, 4.77it/s] 38it [00:07, 4.77it/s] 39it [00:08, 4.78it/s] 40it [00:08, 4.78it/s] 41it [00:08, 4.78it/s] 42it [00:08, 4.78it/s] 43it [00:09, 4.77it/s] 44it [00:09, 4.77it/s] 45it [00:09, 4.77it/s] 46it [00:09, 4.76it/s] 47it [00:09, 4.77it/s] 48it [00:10, 4.78it/s] 49it [00:10, 4.78it/s] 50it [00:10, 4.78it/s] 50it [00:10, 4.77it/s] Total safe images: 4 out of 4
Prediction
roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fabID7cdc7nv33hrmc0ckyh0v03pgy0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- 3D stylized female character with the following traits: - White background - Skin tone: Light with freckles - Hairstyle: Short asymmetrical haircut with a silver hairpin - Hair color: Chestnut brown - Eyebrows: Arched, dark brown - Lips: Full - Eyes: Almond-shaped, blue - Expression: Gentle smile with a kind gaze - Background: Soft pastel lavender - Lighting: Soft studio lighting from the front-left - Style: 3D cartoonish design
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 1
- extra_lora_scale
- 1
- num_inference_steps
- 45
{ "image": "https://replicate.delivery/pbxt/M9hl4KXsfFRPTjwRgpAoYG9Eqk5XPkLzxKmjZ88nHh7MzSVA/avatar.png", "model": "dev", "prompt": "3D stylized female character with the following traits:\n- White background\n- Skin tone: Light with freckles\n- Hairstyle: Short asymmetrical haircut with a silver hairpin\n- Hair color: Chestnut brown\n- Eyebrows: Arched, dark brown\n- Lips: Full\n- Eyes: Almond-shaped, blue\n- Expression: Gentle smile with a kind gaze\n- Background: Soft pastel lavender\n- Lighting: Soft studio lighting from the front-left\n- Style: 3D cartoonish design", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 45 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", { input: { image: "https://replicate.delivery/pbxt/M9hl4KXsfFRPTjwRgpAoYG9Eqk5XPkLzxKmjZ88nHh7MzSVA/avatar.png", model: "dev", prompt: "3D stylized female character with the following traits:\n- White background\n- Skin tone: Light with freckles\n- Hairstyle: Short asymmetrical haircut with a silver hairpin\n- Hair color: Chestnut brown\n- Eyebrows: Arched, dark brown\n- Lips: Full\n- Eyes: Almond-shaped, blue\n- Expression: Gentle smile with a kind gaze\n- Background: Soft pastel lavender\n- Lighting: Soft studio lighting from the front-left\n- Style: 3D cartoonish design", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, output_quality: 80, prompt_strength: 1, extra_lora_scale: 1, num_inference_steps: 45 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", input={ "image": "https://replicate.delivery/pbxt/M9hl4KXsfFRPTjwRgpAoYG9Eqk5XPkLzxKmjZ88nHh7MzSVA/avatar.png", "model": "dev", "prompt": "3D stylized female character with the following traits:\n- White background\n- Skin tone: Light with freckles\n- Hairstyle: Short asymmetrical haircut with a silver hairpin\n- Hair color: Chestnut brown\n- Eyebrows: Arched, dark brown\n- Lips: Full\n- Eyes: Almond-shaped, blue\n- Expression: Gentle smile with a kind gaze\n- Background: Soft pastel lavender\n- Lighting: Soft studio lighting from the front-left\n- Style: 3D cartoonish design", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 45 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", "input": { "image": "https://replicate.delivery/pbxt/M9hl4KXsfFRPTjwRgpAoYG9Eqk5XPkLzxKmjZ88nHh7MzSVA/avatar.png", "model": "dev", "prompt": "3D stylized female character with the following traits:\\n- White background\\n- Skin tone: Light with freckles\\n- Hairstyle: Short asymmetrical haircut with a silver hairpin\\n- Hair color: Chestnut brown\\n- Eyebrows: Arched, dark brown\\n- Lips: Full\\n- Eyes: Almond-shaped, blue\\n- Expression: Gentle smile with a kind gaze\\n- Background: Soft pastel lavender\\n- Lighting: Soft studio lighting from the front-left\\n- Style: 3D cartoonish design", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 45 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-23T16:02:37.670058Z", "created_at": "2024-12-23T16:02:26.204000Z", "data_removed": false, "error": null, "id": "7cdc7nv33hrmc0ckyh0v03pgy0", "input": { "image": "https://replicate.delivery/pbxt/M9hl4KXsfFRPTjwRgpAoYG9Eqk5XPkLzxKmjZ88nHh7MzSVA/avatar.png", "model": "dev", "prompt": "3D stylized female character with the following traits:\n- White background\n- Skin tone: Light with freckles\n- Hairstyle: Short asymmetrical haircut with a silver hairpin\n- Hair color: Chestnut brown\n- Eyebrows: Arched, dark brown\n- Lips: Full\n- Eyes: Almond-shaped, blue\n- Expression: Gentle smile with a kind gaze\n- Background: Soft pastel lavender\n- Lighting: Soft studio lighting from the front-left\n- Style: 3D cartoonish design", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 1, "num_inference_steps": 45 }, "logs": "2024-12-23 16:02:26.357 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-23 16:02:26.357 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2781.10it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2679.76it/s]\n2024-12-23 16:02:26.471 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=30107075842048\nDownloading weights\n2024-12-23T16:02:26Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpswd98ex6/weights url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar\n2024-12-23T16:02:28Z | INFO | [ Complete ] dest=/tmp/tmpswd98ex6/weights size=\"172 MB\" total_elapsed=1.724s url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar\nDownloaded weights in 1.75s\n2024-12-23 16:02:28.219 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c\n2024-12-23 16:02:28.288 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-23 16:02:28.288 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-23 16:02:28.288 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2787.98it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2685.80it/s]\n2024-12-23 16:02:28.402 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s\nUsing seed: 14474\nImage detected - setting to img2img mode\nInput image size: 384x384\nInput image size set to: 384x384\n0it [00:00, ?it/s]\n3it [00:00, 24.02it/s]\n6it [00:00, 22.25it/s]\n9it [00:00, 21.66it/s]\n12it [00:00, 21.50it/s]\n15it [00:00, 21.36it/s]\n18it [00:00, 21.28it/s]\n21it [00:00, 21.19it/s]\n24it [00:01, 21.18it/s]\n27it [00:01, 21.17it/s]\n30it [00:01, 21.12it/s]\n33it [00:01, 21.14it/s]\n36it [00:01, 21.13it/s]\n39it [00:01, 21.12it/s]\n42it [00:01, 21.12it/s]\n45it [00:02, 21.11it/s]\n45it [00:02, 21.28it/s]\n0it [00:00, ?it/s]\n3it [00:00, 21.37it/s]\n6it [00:00, 21.12it/s]\n9it [00:00, 21.17it/s]\n12it [00:00, 21.16it/s]\n15it [00:00, 21.12it/s]\n18it [00:00, 20.59it/s]\n21it [00:01, 20.84it/s]\n24it [00:01, 20.93it/s]\n27it [00:01, 20.97it/s]\n30it [00:01, 21.02it/s]\n33it [00:01, 21.06it/s]\n36it [00:01, 21.08it/s]\n39it [00:01, 21.09it/s]\n42it [00:01, 21.08it/s]\n45it [00:02, 21.10it/s]\n45it [00:02, 21.03it/s]\n0it [00:00, ?it/s]\n3it [00:00, 21.19it/s]\n6it [00:00, 21.21it/s]\n9it [00:00, 21.17it/s]\n12it [00:00, 21.15it/s]\n15it [00:00, 21.14it/s]\n18it [00:00, 21.06it/s]\n21it [00:00, 21.14it/s]\n24it [00:01, 21.08it/s]\n27it [00:01, 21.12it/s]\n30it [00:01, 21.13it/s]\n33it [00:01, 21.09it/s]\n36it [00:01, 21.09it/s]\n39it [00:01, 21.10it/s]\n42it [00:01, 21.10it/s]\n45it [00:02, 21.09it/s]\n45it [00:02, 21.11it/s]\n0it [00:00, ?it/s]\n3it [00:00, 21.44it/s]\n6it [00:00, 21.25it/s]\n9it [00:00, 21.18it/s]\n12it [00:00, 21.14it/s]\n15it [00:00, 21.11it/s]\n18it [00:00, 21.04it/s]\n21it [00:00, 21.06it/s]\n24it [00:01, 21.08it/s]\n27it [00:01, 21.08it/s]\n30it [00:01, 21.10it/s]\n33it [00:01, 21.11it/s]\n36it [00:01, 20.67it/s]\n39it [00:01, 20.90it/s]\n42it [00:01, 20.96it/s]\n45it [00:02, 21.01it/s]\n45it [00:02, 21.04it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 11.396218354, "total_time": 11.466058 }, "output": [ "https://replicate.delivery/xezq/f9stcIQz0zRlYae6WujDV8vDyXAlJS8ogjcVSMHzbn8duz9TA/out-0.webp", "https://replicate.delivery/xezq/sFvYMTNkRXrpK1HkwDfGqQayZkI5n3fTRqgxv47b2V9duz9TA/out-1.webp", "https://replicate.delivery/xezq/B3f76fbigpqm20K2vazraJ4cCMf08bu8b3iFxp16HuH7cn7nA/out-2.webp", "https://replicate.delivery/xezq/7qFtDNEYk6Y4GpGfrJ0aAFVJ33q2V35pytQmnXtEvbzO35eTA/out-3.webp" ], "started_at": "2024-12-23T16:02:26.273839Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-2braaxrolrjompsb6plahrljqjwwptrgvtfo764mykhfbz6u43vq", "get": "https://api.replicate.com/v1/predictions/7cdc7nv33hrmc0ckyh0v03pgy0", "cancel": "https://api.replicate.com/v1/predictions/7cdc7nv33hrmc0ckyh0v03pgy0/cancel" }, "version": "f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab" }
Generated in2024-12-23 16:02:26.357 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-23 16:02:26.357 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2781.10it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2679.76it/s] 2024-12-23 16:02:26.471 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s free=30107075842048 Downloading weights 2024-12-23T16:02:26Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpswd98ex6/weights url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar 2024-12-23T16:02:28Z | INFO | [ Complete ] dest=/tmp/tmpswd98ex6/weights size="172 MB" total_elapsed=1.724s url=https://replicate.delivery/xezq/giAwDaOnVeQAHavzOc9cQufuZyt4KY9s3eYAP3RQfQk9zHuPB/trained_model.tar Downloaded weights in 1.75s 2024-12-23 16:02:28.219 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c 2024-12-23 16:02:28.288 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2024-12-23 16:02:28.288 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-23 16:02:28.288 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2787.98it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2685.80it/s] 2024-12-23 16:02:28.402 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s Using seed: 14474 Image detected - setting to img2img mode Input image size: 384x384 Input image size set to: 384x384 0it [00:00, ?it/s] 3it [00:00, 24.02it/s] 6it [00:00, 22.25it/s] 9it [00:00, 21.66it/s] 12it [00:00, 21.50it/s] 15it [00:00, 21.36it/s] 18it [00:00, 21.28it/s] 21it [00:00, 21.19it/s] 24it [00:01, 21.18it/s] 27it [00:01, 21.17it/s] 30it [00:01, 21.12it/s] 33it [00:01, 21.14it/s] 36it [00:01, 21.13it/s] 39it [00:01, 21.12it/s] 42it [00:01, 21.12it/s] 45it [00:02, 21.11it/s] 45it [00:02, 21.28it/s] 0it [00:00, ?it/s] 3it [00:00, 21.37it/s] 6it [00:00, 21.12it/s] 9it [00:00, 21.17it/s] 12it [00:00, 21.16it/s] 15it [00:00, 21.12it/s] 18it [00:00, 20.59it/s] 21it [00:01, 20.84it/s] 24it [00:01, 20.93it/s] 27it [00:01, 20.97it/s] 30it [00:01, 21.02it/s] 33it [00:01, 21.06it/s] 36it [00:01, 21.08it/s] 39it [00:01, 21.09it/s] 42it [00:01, 21.08it/s] 45it [00:02, 21.10it/s] 45it [00:02, 21.03it/s] 0it [00:00, ?it/s] 3it [00:00, 21.19it/s] 6it [00:00, 21.21it/s] 9it [00:00, 21.17it/s] 12it [00:00, 21.15it/s] 15it [00:00, 21.14it/s] 18it [00:00, 21.06it/s] 21it [00:00, 21.14it/s] 24it [00:01, 21.08it/s] 27it [00:01, 21.12it/s] 30it [00:01, 21.13it/s] 33it [00:01, 21.09it/s] 36it [00:01, 21.09it/s] 39it [00:01, 21.10it/s] 42it [00:01, 21.10it/s] 45it [00:02, 21.09it/s] 45it [00:02, 21.11it/s] 0it [00:00, ?it/s] 3it [00:00, 21.44it/s] 6it [00:00, 21.25it/s] 9it [00:00, 21.18it/s] 12it [00:00, 21.14it/s] 15it [00:00, 21.11it/s] 18it [00:00, 21.04it/s] 21it [00:00, 21.06it/s] 24it [00:01, 21.08it/s] 27it [00:01, 21.08it/s] 30it [00:01, 21.10it/s] 33it [00:01, 21.11it/s] 36it [00:01, 20.67it/s] 39it [00:01, 20.90it/s] 42it [00:01, 20.96it/s] 45it [00:02, 21.01it/s] 45it [00:02, 21.04it/s] Total safe images: 4 out of 4
Prediction
roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fabIDhpwwb97d7drm80ckyj7b56npa0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- AVATAR 3D Emoji cartoonish stylized female head only character, Cute 3d Kawaii Fully rounded ball head, Rounded small volumetric nose, No neck or body, White background, light skin tone with freckles, short asymmetrical haircut with a silver hairpin, Chestnut brown hair color, Arched eyebrows dark brown, volumetric big and full lips, Almond-shaped blue eyes, Gentle smile with a kind gaze, Soft studio lighting from the front-left
- go_fast
- extra_lora
- huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA
- lora_scale
- 0.8
- megapixels
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 1
- extra_lora_scale
- 0.26
- num_inference_steps
- 45
{ "model": "dev", "prompt": "AVATAR 3D Emoji cartoonish stylized female head only character, Cute 3d Kawaii Fully rounded ball head, Rounded small volumetric nose, No neck or body, White background, light skin tone with freckles, short asymmetrical haircut with a silver hairpin, Chestnut brown hair color, Arched eyebrows dark brown, volumetric big and full lips, Almond-shaped blue eyes, Gentle smile with a kind gaze, Soft studio lighting from the front-left", "go_fast": false, "extra_lora": "huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA", "lora_scale": 0.8, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 0.26, "num_inference_steps": 45 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", { input: { model: "dev", prompt: "AVATAR 3D Emoji cartoonish stylized female head only character, Cute 3d Kawaii Fully rounded ball head, Rounded small volumetric nose, No neck or body, White background, light skin tone with freckles, short asymmetrical haircut with a silver hairpin, Chestnut brown hair color, Arched eyebrows dark brown, volumetric big and full lips, Almond-shaped blue eyes, Gentle smile with a kind gaze, Soft studio lighting from the front-left", go_fast: false, extra_lora: "huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA", lora_scale: 0.8, megapixels: "1", num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, output_quality: 80, prompt_strength: 1, extra_lora_scale: 0.26, num_inference_steps: 45 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", input={ "model": "dev", "prompt": "AVATAR 3D Emoji cartoonish stylized female head only character, Cute 3d Kawaii Fully rounded ball head, Rounded small volumetric nose, No neck or body, White background, light skin tone with freckles, short asymmetrical haircut with a silver hairpin, Chestnut brown hair color, Arched eyebrows dark brown, volumetric big and full lips, Almond-shaped blue eyes, Gentle smile with a kind gaze, Soft studio lighting from the front-left", "go_fast": False, "extra_lora": "huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA", "lora_scale": 0.8, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 0.26, "num_inference_steps": 45 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run roblo3x/lora-3d-avatars using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "roblo3x/lora-3d-avatars:f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab", "input": { "model": "dev", "prompt": "AVATAR 3D Emoji cartoonish stylized female head only character, Cute 3d Kawaii Fully rounded ball head, Rounded small volumetric nose, No neck or body, White background, light skin tone with freckles, short asymmetrical haircut with a silver hairpin, Chestnut brown hair color, Arched eyebrows dark brown, volumetric big and full lips, Almond-shaped blue eyes, Gentle smile with a kind gaze, Soft studio lighting from the front-left", "go_fast": false, "extra_lora": "huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA", "lora_scale": 0.8, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 0.26, "num_inference_steps": 45 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-23T17:28:01.660824Z", "created_at": "2024-12-23T17:27:07.835000Z", "data_removed": false, "error": null, "id": "hpwwb97d7drm80ckyj7b56npa0", "input": { "model": "dev", "prompt": "AVATAR 3D Emoji cartoonish stylized female head only character, Cute 3d Kawaii Fully rounded ball head, Rounded small volumetric nose, No neck or body, White background, light skin tone with freckles, short asymmetrical haircut with a silver hairpin, Chestnut brown hair color, Arched eyebrows dark brown, volumetric big and full lips, Almond-shaped blue eyes, Gentle smile with a kind gaze, Soft studio lighting from the front-left", "go_fast": false, "extra_lora": "huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA", "lora_scale": 0.8, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 1, "extra_lora_scale": 0.26, "num_inference_steps": 45 }, "logs": "2024-12-23 17:27:08.326 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-23 17:27:08.327 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 89%|████████▉ | 272/304 [00:00<00:00, 2700.28it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2694.51it/s]\n2024-12-23 17:27:08.440 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=28727644217344\nDownloading weights\n2024-12-23T17:27:08Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/b9b3b8b6620fd402 url=https://huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA/resolve/main/Flux-3D-Emojies-Mation.safetensors\n2024-12-23T17:27:08Z | INFO | [ Redirect ] redirect_url=https://cdn-lfs-us-1.hf.co/repos/3a/e3/3ae322d19b9d0f914801f1a9ef059ce8cea0bc224daf09bcc229bef8f488449a/ae9a9377825aff7b82c5e7214dfd4a5bda3159dfd2436ec26104ecb407861042?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27Flux-3D-Emojies-Mation.safetensors%3B+filename%3D%22Flux-3D-Emojies-Mation.safetensors%22%3B&Expires=1735234028&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTczNTIzNDAyOH19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmhmLmNvL3JlcG9zLzNhL2UzLzNhZTMyMmQxOWI5ZDBmOTE0ODAxZjFhOWVmMDU5Y2U4Y2VhMGJjMjI0ZGFmMDliY2MyMjliZWY4ZjQ4ODQ0OWEvYWU5YTkzNzc4MjVhZmY3YjgyYzVlNzIxNGRmZDRhNWJkYTMxNTlkZmQyNDM2ZWMyNjEwNGVjYjQwNzg2MTA0Mj9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=c3KyRhK4GQPaMN7QCkHXKTeghHV869qV0-YNW8IFTTZldi7KS2WKbglfaokH61DVXqrp2ZPwtIrQ4gKkwr0JdqAM1SJ8ZVk31-SSMXrR9Pjj6rO58FaTdO56nnGUU4FVnnYKAf2K%7E7FUS018PuFhh3l5i1gpNdSgjDqbcUVHtTXWX1bSMS%7Ey-8sooaoR2%7E-BoXc%7EqFelAQ1RVp2rY%7EWH15P0w1QbrVmf49QgoxWQIevCkVLfVxtlXQGDTkXTSCe6Ji%7EdMGhQ2XplQuIEuhnf8H0oqoERpH6ubbIHhvaxAU8ewR3NRuyfie-AC7i3R5STsPXVB89S1EFeY7iTGgRKmA__&Key-Pair-Id=K24J24Z295AEI9 url=https://huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA/resolve/main/Flux-3D-Emojies-Mation.safetensors\n2024-12-23T17:27:23Z | INFO | [ Complete ] dest=/src/weights-cache/b9b3b8b6620fd402 size=\"613 MB\" total_elapsed=14.718s url=https://huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA/resolve/main/Flux-3D-Emojies-Mation.safetensors\nDownloaded weights in 14.76s\n2024-12-23 17:27:23.273 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c\n2024-12-23 17:27:23.343 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-23 17:27:23.343 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-23 17:27:23.343 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 89%|████████▉ | 272/304 [00:00<00:00, 2703.05it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2696.83it/s]\n2024-12-23 17:27:23.457 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s\n2024-12-23 17:27:23.457 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/b9b3b8b6620fd402\n2024-12-23 17:27:23.639 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-23 17:27:23.640 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-23 17:27:23.640 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 89%|████████▉ | 272/304 [00:00<00:00, 2703.37it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2697.41it/s]\n2024-12-23 17:27:23.753 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.3s\nUsing seed: 64554\n0it [00:00, ?it/s]\n1it [00:00, 8.40it/s]\n2it [00:00, 5.89it/s]\n3it [00:00, 5.37it/s]\n4it [00:00, 5.16it/s]\n5it [00:00, 5.04it/s]\n6it [00:01, 4.97it/s]\n7it [00:01, 4.93it/s]\n8it [00:01, 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[00:09, 4.84it/s]\n45it [00:09, 4.84it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.89it/s]\n2it [00:00, 4.84it/s]\n3it [00:00, 4.84it/s]\n4it [00:00, 4.84it/s]\n5it [00:01, 4.83it/s]\n6it [00:01, 4.82it/s]\n7it [00:01, 4.83it/s]\n8it [00:01, 4.83it/s]\n9it [00:01, 4.83it/s]\n10it [00:02, 4.83it/s]\n11it [00:02, 4.83it/s]\n12it [00:02, 4.82it/s]\n13it [00:02, 4.83it/s]\n14it [00:02, 4.84it/s]\n15it [00:03, 4.83it/s]\n16it [00:03, 4.83it/s]\n17it [00:03, 4.83it/s]\n18it [00:03, 4.82it/s]\n19it [00:03, 4.83it/s]\n20it [00:04, 4.83it/s]\n21it [00:04, 4.83it/s]\n22it [00:04, 4.83it/s]\n23it [00:04, 4.83it/s]\n24it [00:04, 4.83it/s]\n25it [00:05, 4.83it/s]\n26it [00:05, 4.83it/s]\n27it [00:05, 4.84it/s]\n28it [00:05, 4.84it/s]\n29it [00:06, 4.83it/s]\n30it [00:06, 4.83it/s]\n31it [00:06, 4.83it/s]\n32it [00:06, 4.82it/s]\n33it [00:06, 4.82it/s]\n34it [00:07, 4.83it/s]\n35it [00:07, 4.82it/s]\n36it [00:07, 4.82it/s]\n37it [00:07, 4.82it/s]\n38it [00:07, 4.83it/s]\n39it [00:08, 4.83it/s]\n40it [00:08, 4.84it/s]\n41it [00:08, 4.83it/s]\n42it [00:08, 4.83it/s]\n43it [00:08, 4.83it/s]\n44it [00:09, 4.83it/s]\n45it [00:09, 4.83it/s]\n45it [00:09, 4.83it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.88it/s]\n2it [00:00, 4.85it/s]\n3it [00:00, 4.84it/s]\n4it [00:00, 4.84it/s]\n5it [00:01, 4.82it/s]\n6it [00:01, 4.83it/s]\n7it [00:01, 4.83it/s]\n8it [00:01, 4.83it/s]\n9it [00:01, 4.82it/s]\n10it [00:02, 4.81it/s]\n11it [00:02, 4.81it/s]\n12it [00:02, 4.81it/s]\n13it [00:02, 4.81it/s]\n14it [00:02, 4.81it/s]\n15it [00:03, 4.82it/s]\n16it [00:03, 4.82it/s]\n17it [00:03, 4.83it/s]\n18it [00:03, 4.83it/s]\n19it [00:03, 4.83it/s]\n20it [00:04, 4.82it/s]\n21it [00:04, 4.82it/s]\n22it [00:04, 4.82it/s]\n23it [00:04, 4.82it/s]\n24it [00:04, 4.82it/s]\n25it [00:05, 4.83it/s]\n26it [00:05, 4.83it/s]\n27it [00:05, 4.83it/s]\n28it [00:05, 4.82it/s]\n29it [00:06, 4.83it/s]\n30it [00:06, 4.83it/s]\n31it [00:06, 4.83it/s]\n32it [00:06, 4.83it/s]\n33it [00:06, 4.83it/s]\n34it [00:07, 4.83it/s]\n35it [00:07, 4.83it/s]\n36it [00:07, 4.83it/s]\n37it [00:07, 4.83it/s]\n38it [00:07, 4.84it/s]\n39it [00:08, 4.84it/s]\n40it [00:08, 4.84it/s]\n41it [00:08, 4.83it/s]\n42it [00:08, 4.83it/s]\n43it [00:08, 4.83it/s]\n44it [00:09, 4.83it/s]\n45it [00:09, 4.83it/s]\n45it [00:09, 4.83it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 53.333497419, "total_time": 53.825824 }, "output": [ "https://replicate.delivery/xezq/oiN82QqE80YqAhGCUfF3P4MduI1JgBwzpzZk0k8Blqehep7nA/out-0.webp", "https://replicate.delivery/xezq/Ujc5z8IAP1J2CxzeGIFfCTe8TJ5exPQUel2fMRyREayaoPdfJA/out-1.webp", "https://replicate.delivery/xezq/p2ySdEZeygyUP69KMHJ0oDkfPZkn2Ce1mrOFaNl8iTHC9p7nA/out-2.webp", "https://replicate.delivery/xezq/3EegHeZ4jjkrlUE9l98wO3dCUPwnISROoDFXUQUjC2shep7nA/out-3.webp" ], "started_at": "2024-12-23T17:27:08.327326Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-dn472v2zvt534c4uogpnf53egj5rgtlvlfkck4rmddgiedvwkmfa", "get": "https://api.replicate.com/v1/predictions/hpwwb97d7drm80ckyj7b56npa0", "cancel": "https://api.replicate.com/v1/predictions/hpwwb97d7drm80ckyj7b56npa0/cancel" }, "version": "f95acf100d2a651dabb28466b3f4d46bda3fd1619d306c8434f5ad6208115fab" }
Generated in2024-12-23 17:27:08.326 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-23 17:27:08.327 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 89%|████████▉ | 272/304 [00:00<00:00, 2700.28it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2694.51it/s] 2024-12-23 17:27:08.440 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s free=28727644217344 Downloading weights 2024-12-23T17:27:08Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/b9b3b8b6620fd402 url=https://huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA/resolve/main/Flux-3D-Emojies-Mation.safetensors 2024-12-23T17:27:08Z | INFO | [ Redirect ] redirect_url=https://cdn-lfs-us-1.hf.co/repos/3a/e3/3ae322d19b9d0f914801f1a9ef059ce8cea0bc224daf09bcc229bef8f488449a/ae9a9377825aff7b82c5e7214dfd4a5bda3159dfd2436ec26104ecb407861042?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27Flux-3D-Emojies-Mation.safetensors%3B+filename%3D%22Flux-3D-Emojies-Mation.safetensors%22%3B&Expires=1735234028&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTczNTIzNDAyOH19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmhmLmNvL3JlcG9zLzNhL2UzLzNhZTMyMmQxOWI5ZDBmOTE0ODAxZjFhOWVmMDU5Y2U4Y2VhMGJjMjI0ZGFmMDliY2MyMjliZWY4ZjQ4ODQ0OWEvYWU5YTkzNzc4MjVhZmY3YjgyYzVlNzIxNGRmZDRhNWJkYTMxNTlkZmQyNDM2ZWMyNjEwNGVjYjQwNzg2MTA0Mj9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=c3KyRhK4GQPaMN7QCkHXKTeghHV869qV0-YNW8IFTTZldi7KS2WKbglfaokH61DVXqrp2ZPwtIrQ4gKkwr0JdqAM1SJ8ZVk31-SSMXrR9Pjj6rO58FaTdO56nnGUU4FVnnYKAf2K%7E7FUS018PuFhh3l5i1gpNdSgjDqbcUVHtTXWX1bSMS%7Ey-8sooaoR2%7E-BoXc%7EqFelAQ1RVp2rY%7EWH15P0w1QbrVmf49QgoxWQIevCkVLfVxtlXQGDTkXTSCe6Ji%7EdMGhQ2XplQuIEuhnf8H0oqoERpH6ubbIHhvaxAU8ewR3NRuyfie-AC7i3R5STsPXVB89S1EFeY7iTGgRKmA__&Key-Pair-Id=K24J24Z295AEI9 url=https://huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA/resolve/main/Flux-3D-Emojies-Mation.safetensors 2024-12-23T17:27:23Z | INFO | [ Complete ] dest=/src/weights-cache/b9b3b8b6620fd402 size="613 MB" total_elapsed=14.718s url=https://huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA/resolve/main/Flux-3D-Emojies-Mation.safetensors Downloaded weights in 14.76s 2024-12-23 17:27:23.273 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/03740051a793408c 2024-12-23 17:27:23.343 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2024-12-23 17:27:23.343 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-23 17:27:23.343 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 89%|████████▉ | 272/304 [00:00<00:00, 2703.05it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2696.83it/s] 2024-12-23 17:27:23.457 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s 2024-12-23 17:27:23.457 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/b9b3b8b6620fd402 2024-12-23 17:27:23.639 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2024-12-23 17:27:23.640 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-23 17:27:23.640 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 89%|████████▉ | 272/304 [00:00<00:00, 2703.37it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2697.41it/s] 2024-12-23 17:27:23.753 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.3s Using seed: 64554 0it [00:00, ?it/s] 1it [00:00, 8.40it/s] 2it [00:00, 5.89it/s] 3it [00:00, 5.37it/s] 4it [00:00, 5.16it/s] 5it [00:00, 5.04it/s] 6it [00:01, 4.97it/s] 7it [00:01, 4.93it/s] 8it [00:01, 4.91it/s] 9it [00:01, 4.89it/s] 10it [00:01, 4.88it/s] 11it [00:02, 4.87it/s] 12it [00:02, 4.86it/s] 13it [00:02, 4.86it/s] 14it [00:02, 4.86it/s] 15it [00:03, 4.86it/s] 16it [00:03, 4.86it/s] 17it [00:03, 4.85it/s] 18it [00:03, 4.85it/s] 19it [00:03, 4.84it/s] 20it [00:04, 4.85it/s] 21it [00:04, 4.85it/s] 22it [00:04, 4.85it/s] 23it [00:04, 4.85it/s] 24it [00:04, 4.85it/s] 25it [00:05, 4.85it/s] 26it [00:05, 4.85it/s] 27it [00:05, 4.85it/s] 28it [00:05, 4.85it/s] 29it [00:05, 4.85it/s] 30it [00:06, 4.85it/s] 31it [00:06, 4.85it/s] 32it [00:06, 4.84it/s] 33it [00:06, 4.84it/s] 34it [00:06, 4.84it/s] 35it [00:07, 4.84it/s] 36it [00:07, 4.85it/s] 37it [00:07, 4.85it/s] 38it [00:07, 4.86it/s] 39it [00:07, 4.85it/s] 40it [00:08, 4.85it/s] 41it [00:08, 4.85it/s] 42it [00:08, 4.85it/s] 43it [00:08, 4.86it/s] 44it [00:08, 4.84it/s] 45it [00:09, 4.84it/s] 45it [00:09, 4.90it/s] 0it [00:00, ?it/s] 1it [00:00, 4.90it/s] 2it [00:00, 4.86it/s] 3it [00:00, 4.85it/s] 4it [00:00, 4.84it/s] 5it [00:01, 4.84it/s] 6it [00:01, 4.83it/s] 7it [00:01, 4.83it/s] 8it [00:01, 4.84it/s] 9it [00:01, 4.84it/s] 10it [00:02, 4.84it/s] 11it [00:02, 4.83it/s] 12it [00:02, 4.83it/s] 13it [00:02, 4.84it/s] 14it [00:02, 4.84it/s] 15it [00:03, 4.84it/s] 16it [00:03, 4.84it/s] 17it [00:03, 4.84it/s] 18it [00:03, 4.84it/s] 19it [00:03, 4.84it/s] 20it [00:04, 4.84it/s] 21it [00:04, 4.84it/s] 22it [00:04, 4.84it/s] 23it [00:04, 4.85it/s] 24it [00:04, 4.85it/s] 25it [00:05, 4.85it/s] 26it [00:05, 4.84it/s] 27it [00:05, 4.84it/s] 28it [00:05, 4.84it/s] 29it [00:05, 4.84it/s] 30it [00:06, 4.84it/s] 31it [00:06, 4.83it/s] 32it [00:06, 4.84it/s] 33it [00:06, 4.84it/s] 34it [00:07, 4.84it/s] 35it [00:07, 4.84it/s] 36it [00:07, 4.83it/s] 37it [00:07, 4.84it/s] 38it [00:07, 4.84it/s] 39it [00:08, 4.84it/s] 40it [00:08, 4.84it/s] 41it [00:08, 4.83it/s] 42it [00:08, 4.83it/s] 43it [00:08, 4.83it/s] 44it [00:09, 4.84it/s] 45it [00:09, 4.84it/s] 45it [00:09, 4.84it/s] 0it [00:00, ?it/s] 1it [00:00, 4.89it/s] 2it [00:00, 4.84it/s] 3it [00:00, 4.84it/s] 4it [00:00, 4.84it/s] 5it [00:01, 4.83it/s] 6it [00:01, 4.82it/s] 7it [00:01, 4.83it/s] 8it [00:01, 4.83it/s] 9it [00:01, 4.83it/s] 10it [00:02, 4.83it/s] 11it [00:02, 4.83it/s] 12it [00:02, 4.82it/s] 13it [00:02, 4.83it/s] 14it [00:02, 4.84it/s] 15it [00:03, 4.83it/s] 16it [00:03, 4.83it/s] 17it [00:03, 4.83it/s] 18it [00:03, 4.82it/s] 19it [00:03, 4.83it/s] 20it [00:04, 4.83it/s] 21it [00:04, 4.83it/s] 22it [00:04, 4.83it/s] 23it [00:04, 4.83it/s] 24it [00:04, 4.83it/s] 25it [00:05, 4.83it/s] 26it [00:05, 4.83it/s] 27it [00:05, 4.84it/s] 28it [00:05, 4.84it/s] 29it [00:06, 4.83it/s] 30it [00:06, 4.83it/s] 31it [00:06, 4.83it/s] 32it [00:06, 4.82it/s] 33it [00:06, 4.82it/s] 34it [00:07, 4.83it/s] 35it [00:07, 4.82it/s] 36it [00:07, 4.82it/s] 37it [00:07, 4.82it/s] 38it [00:07, 4.83it/s] 39it [00:08, 4.83it/s] 40it [00:08, 4.84it/s] 41it [00:08, 4.83it/s] 42it [00:08, 4.83it/s] 43it [00:08, 4.83it/s] 44it [00:09, 4.83it/s] 45it [00:09, 4.83it/s] 45it [00:09, 4.83it/s] 0it [00:00, ?it/s] 1it [00:00, 4.88it/s] 2it [00:00, 4.85it/s] 3it [00:00, 4.84it/s] 4it [00:00, 4.84it/s] 5it [00:01, 4.82it/s] 6it [00:01, 4.83it/s] 7it [00:01, 4.83it/s] 8it [00:01, 4.83it/s] 9it [00:01, 4.82it/s] 10it [00:02, 4.81it/s] 11it [00:02, 4.81it/s] 12it [00:02, 4.81it/s] 13it [00:02, 4.81it/s] 14it [00:02, 4.81it/s] 15it [00:03, 4.82it/s] 16it [00:03, 4.82it/s] 17it [00:03, 4.83it/s] 18it [00:03, 4.83it/s] 19it [00:03, 4.83it/s] 20it [00:04, 4.82it/s] 21it [00:04, 4.82it/s] 22it [00:04, 4.82it/s] 23it [00:04, 4.82it/s] 24it [00:04, 4.82it/s] 25it [00:05, 4.83it/s] 26it [00:05, 4.83it/s] 27it [00:05, 4.83it/s] 28it [00:05, 4.82it/s] 29it [00:06, 4.83it/s] 30it [00:06, 4.83it/s] 31it [00:06, 4.83it/s] 32it [00:06, 4.83it/s] 33it [00:06, 4.83it/s] 34it [00:07, 4.83it/s] 35it [00:07, 4.83it/s] 36it [00:07, 4.83it/s] 37it [00:07, 4.83it/s] 38it [00:07, 4.84it/s] 39it [00:08, 4.84it/s] 40it [00:08, 4.84it/s] 41it [00:08, 4.83it/s] 42it [00:08, 4.83it/s] 43it [00:08, 4.83it/s] 44it [00:09, 4.83it/s] 45it [00:09, 4.83it/s] 45it [00:09, 4.83it/s] Total safe images: 4 out of 4
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