tokaito14 / laura
Model (Updated 9 months, 1 week ago)
- Public
- 62 runs
-
H100
Prediction
tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090fID9rrp6fz6bdrm00chtpyafm4yd4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, a crumpled skirt tight gloves, with a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, \na crumpled skirt \ntight gloves, \nwith a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport 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 tokaito14/laura using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", { input: { model: "dev", prompt: "Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, \na crumpled skirt \ntight gloves, \nwith a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises", lora_scale: 1, num_outputs: 1, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 replicateImport the client:import replicateRun tokaito14/laura using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", input={ "model": "dev", "prompt": "Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, \na crumpled skirt \ntight gloves, \nwith a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run tokaito14/laura 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": "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", "input": { "model": "dev", "prompt": "Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, \\na crumpled skirt \\ntight gloves, \\nwith a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-09T07:43:52.015753Z", "created_at": "2024-09-09T07:43:32.443000Z", "data_removed": false, "error": null, "id": "9rrp6fz6bdrm00chtpyafm4yd4", "input": { "model": "dev", "prompt": "Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, \na crumpled skirt \ntight gloves, \nwith a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 11387\nPrompt: Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer,\na crumpled skirt\ntight gloves,\nwith a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises\n[!] txt2img mode\nUsing dev model\nfree=8344949477376\nDownloading weights\n2024-09-09T07:43:32Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpnyxtfsmf/weights url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar\n2024-09-09T07:43:35Z | INFO | [ Complete ] dest=/tmp/tmpnyxtfsmf/weights size=\"172 MB\" total_elapsed=3.104s url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar\nDownloaded weights in 3.13s\nLoaded LoRAs in 11.68s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.76it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.25it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.01it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.91it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.86it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.83it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.79it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.78it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.78it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.77it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.77it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.77it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.76it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.76it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.76it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.76it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.76it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.76it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.76it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.76it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.76it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.76it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.76it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.76it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.76it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.76it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.79it/s]", "metrics": { "predict_time": 19.562913584, "total_time": 19.572753 }, "output": [ "https://replicate.delivery/yhqm/sMAWKfOB290tAaKviYyvQBFEg3zH1X5hUV39GaV4TinbyitJA/out-0.jpg" ], "started_at": "2024-09-09T07:43:32.452840Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/9rrp6fz6bdrm00chtpyafm4yd4", "cancel": "https://api.replicate.com/v1/predictions/9rrp6fz6bdrm00chtpyafm4yd4/cancel" }, "version": "f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f" }Generated inUsing seed: 11387 Prompt: Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, a crumpled skirt tight gloves, with a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises [!] txt2img mode Using dev model free=8344949477376 Downloading weights 2024-09-09T07:43:32Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpnyxtfsmf/weights url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar 2024-09-09T07:43:35Z | INFO | [ Complete ] dest=/tmp/tmpnyxtfsmf/weights size="172 MB" total_elapsed=3.104s url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar Downloaded weights in 3.13s Loaded LoRAs in 11.68s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.76it/s] 7%|▋ | 2/28 [00:00<00:06, 4.25it/s] 11%|█ | 3/28 [00:00<00:06, 4.01it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.91it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.86it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.83it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.79it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.78it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.78it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.77it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.77it/s] 50%|█████ | 14/28 [00:03<00:03, 3.77it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.76it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.76it/s] 61%|██████ | 17/28 [00:04<00:02, 3.76it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.76it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.76it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.76it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.76it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.76it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.76it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.76it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.76it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.76it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.76it/s] 100%|██████████| 28/28 [00:07<00:00, 3.76it/s] 100%|██████████| 28/28 [00:07<00:00, 3.79it/s]Prediction
tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090fID2rvkbtym85rma0ck9trt2tww60StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Ultra-realistic full-body photo of a petite Italian female model showing off an upscale, very artistic, travel-inspired, embellished denim outfit with dolman sleeves and cool, unusual elements in New York
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 98
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Ultra-realistic full-body photo of a petite Italian female model showing off an upscale, very artistic, travel-inspired, embellished denim outfit with dolman sleeves and cool, unusual elements in New York", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 98, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport 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 tokaito14/laura using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", { input: { model: "dev", prompt: "Ultra-realistic full-body photo of a petite Italian female model showing off an upscale, very artistic, travel-inspired, embellished denim outfit with dolman sleeves and cool, unusual elements in New York", lora_scale: 1, num_outputs: 1, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 3.5, output_quality: 98, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 replicateImport the client:import replicateRun tokaito14/laura using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", input={ "model": "dev", "prompt": "Ultra-realistic full-body photo of a petite Italian female model showing off an upscale, very artistic, travel-inspired, embellished denim outfit with dolman sleeves and cool, unusual elements in New York", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 98, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run tokaito14/laura 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": "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", "input": { "model": "dev", "prompt": "Ultra-realistic full-body photo of a petite Italian female model showing off an upscale, very artistic, travel-inspired, embellished denim outfit with dolman sleeves and cool, unusual elements in New York", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 98, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-21T12:28:31.598876Z", "created_at": "2024-11-21T12:28:17.345000Z", "data_removed": false, "error": null, "id": "2rvkbtym85rma0ck9trt2tww60", "input": { "model": "dev", "prompt": "Ultra-realistic full-body photo of a petite Italian female model showing off an upscale, very artistic, travel-inspired, embellished denim outfit with dolman sleeves and cool, unusual elements in New York", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 98, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 8274\nPrompt: Ultra-realistic full-body photo of a petite Italian female model showing off an upscale, very artistic, travel-inspired, embellished denim outfit with dolman sleeves and cool, unusual elements in New York\n[!] txt2img mode\nUsing dev model\nfree=29338207191040\nDownloading weights\n2024-11-21T12:28:17Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp7ej7_gsh/weights url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar\n2024-11-21T12:28:21Z | INFO | [ Complete ] dest=/tmp/tmp7ej7_gsh/weights size=\"172 MB\" total_elapsed=4.477s url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar\nDownloaded weights in 4.50s\nLoaded LoRAs in 4.97s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:08, 3.09it/s]\n 7%|▋ | 2/28 [00:00<00:07, 3.45it/s]\n 11%|█ | 3/28 [00:00<00:07, 3.28it/s]\n 14%|█▍ | 4/28 [00:01<00:07, 3.20it/s]\n 18%|█▊ | 5/28 [00:01<00:07, 3.16it/s]\n 21%|██▏ | 6/28 [00:01<00:07, 3.14it/s]\n 25%|██▌ | 7/28 [00:02<00:06, 3.13it/s]\n 29%|██▊ | 8/28 [00:02<00:06, 3.12it/s]\n 32%|███▏ | 9/28 [00:02<00:06, 3.11it/s]\n 36%|███▌ | 10/28 [00:03<00:05, 3.11it/s]\n 39%|███▉ | 11/28 [00:03<00:05, 3.10it/s]\n 43%|████▎ | 12/28 [00:03<00:05, 3.10it/s]\n 46%|████▋ | 13/28 [00:04<00:04, 3.10it/s]\n 50%|█████ | 14/28 [00:04<00:04, 3.10it/s]\n 54%|█████▎ | 15/28 [00:04<00:04, 3.10it/s]\n 57%|█████▋ | 16/28 [00:05<00:03, 3.10it/s]\n 61%|██████ | 17/28 [00:05<00:03, 3.10it/s]\n 64%|██████▍ | 18/28 [00:05<00:03, 3.09it/s]\n 68%|██████▊ | 19/28 [00:06<00:02, 3.09it/s]\n 71%|███████▏ | 20/28 [00:06<00:02, 3.09it/s]\n 75%|███████▌ | 21/28 [00:06<00:02, 3.09it/s]\n 79%|███████▊ | 22/28 [00:07<00:01, 3.09it/s]\n 82%|████████▏ | 23/28 [00:07<00:01, 3.09it/s]\n 86%|████████▌ | 24/28 [00:07<00:01, 3.09it/s]\n 89%|████████▉ | 25/28 [00:08<00:00, 3.09it/s]\n 93%|█████████▎| 26/28 [00:08<00:00, 3.09it/s]\n 96%|█████████▋| 27/28 [00:08<00:00, 3.09it/s]\n100%|██████████| 28/28 [00:08<00:00, 3.09it/s]\n100%|██████████| 28/28 [00:08<00:00, 3.11it/s]", "metrics": { "predict_time": 14.188750128, "total_time": 14.253876 }, "output": [ "https://replicate.delivery/xezq/UCrfCcLFjdRKTakT98CXpkc8GFzYYZ2VRlVDhH6FOP93ym5JA/out-0.jpg" ], "started_at": "2024-11-21T12:28:17.410126Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-m4fjvn42ogwmdd3phz6oaf7kslfoz4ixocyhtb6ep7ap5b6fjlqq", "get": "https://api.replicate.com/v1/predictions/2rvkbtym85rma0ck9trt2tww60", "cancel": "https://api.replicate.com/v1/predictions/2rvkbtym85rma0ck9trt2tww60/cancel" }, "version": "f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f" }Generated inUsing seed: 8274 Prompt: Ultra-realistic full-body photo of a petite Italian female model showing off an upscale, very artistic, travel-inspired, embellished denim outfit with dolman sleeves and cool, unusual elements in New York [!] txt2img mode Using dev model free=29338207191040 Downloading weights 2024-11-21T12:28:17Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp7ej7_gsh/weights url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar 2024-11-21T12:28:21Z | INFO | [ Complete ] dest=/tmp/tmp7ej7_gsh/weights size="172 MB" total_elapsed=4.477s url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar Downloaded weights in 4.50s Loaded LoRAs in 4.97s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:08, 3.09it/s] 7%|▋ | 2/28 [00:00<00:07, 3.45it/s] 11%|█ | 3/28 [00:00<00:07, 3.28it/s] 14%|█▍ | 4/28 [00:01<00:07, 3.20it/s] 18%|█▊ | 5/28 [00:01<00:07, 3.16it/s] 21%|██▏ | 6/28 [00:01<00:07, 3.14it/s] 25%|██▌ | 7/28 [00:02<00:06, 3.13it/s] 29%|██▊ | 8/28 [00:02<00:06, 3.12it/s] 32%|███▏ | 9/28 [00:02<00:06, 3.11it/s] 36%|███▌ | 10/28 [00:03<00:05, 3.11it/s] 39%|███▉ | 11/28 [00:03<00:05, 3.10it/s] 43%|████▎ | 12/28 [00:03<00:05, 3.10it/s] 46%|████▋ | 13/28 [00:04<00:04, 3.10it/s] 50%|█████ | 14/28 [00:04<00:04, 3.10it/s] 54%|█████▎ | 15/28 [00:04<00:04, 3.10it/s] 57%|█████▋ | 16/28 [00:05<00:03, 3.10it/s] 61%|██████ | 17/28 [00:05<00:03, 3.10it/s] 64%|██████▍ | 18/28 [00:05<00:03, 3.09it/s] 68%|██████▊ | 19/28 [00:06<00:02, 3.09it/s] 71%|███████▏ | 20/28 [00:06<00:02, 3.09it/s] 75%|███████▌ | 21/28 [00:06<00:02, 3.09it/s] 79%|███████▊ | 22/28 [00:07<00:01, 3.09it/s] 82%|████████▏ | 23/28 [00:07<00:01, 3.09it/s] 86%|████████▌ | 24/28 [00:07<00:01, 3.09it/s] 89%|████████▉ | 25/28 [00:08<00:00, 3.09it/s] 93%|█████████▎| 26/28 [00:08<00:00, 3.09it/s] 96%|█████████▋| 27/28 [00:08<00:00, 3.09it/s] 100%|██████████| 28/28 [00:08<00:00, 3.09it/s] 100%|██████████| 28/28 [00:08<00:00, 3.11it/s]Prediction
tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090fIDaj534t8edxrmc0ckheg8b4qtt4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- image
- model
- dev
- prompt
- Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, a crumpled skirt tight gloves, with a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "image": "https://replicate.delivery/pbxt/M4wMkKxxrkE6ZGFE5WkAJdj6NF7HtcIZmJ39Arjqzcjq4LKE/cyberpunk_helly_by_disharmonica_deci4na.jpg", "model": "dev", "prompt": "Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, \na crumpled skirt \ntight gloves, \nwith a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport 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 tokaito14/laura using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", { input: { image: "https://replicate.delivery/pbxt/M4wMkKxxrkE6ZGFE5WkAJdj6NF7HtcIZmJ39Arjqzcjq4LKE/cyberpunk_helly_by_disharmonica_deci4na.jpg", model: "dev", prompt: "Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, \na crumpled skirt \ntight gloves, \nwith a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 replicateImport the client:import replicateRun tokaito14/laura using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", input={ "image": "https://replicate.delivery/pbxt/M4wMkKxxrkE6ZGFE5WkAJdj6NF7HtcIZmJ39Arjqzcjq4LKE/cyberpunk_helly_by_disharmonica_deci4na.jpg", "model": "dev", "prompt": "Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, \na crumpled skirt \ntight gloves, \nwith a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run tokaito14/laura 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": "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", "input": { "image": "https://replicate.delivery/pbxt/M4wMkKxxrkE6ZGFE5WkAJdj6NF7HtcIZmJ39Arjqzcjq4LKE/cyberpunk_helly_by_disharmonica_deci4na.jpg", "model": "dev", "prompt": "Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, \\na crumpled skirt \\ntight gloves, \\nwith a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-03T08:26:19.161090Z", "created_at": "2024-12-03T08:25:42.767000Z", "data_removed": false, "error": null, "id": "aj534t8edxrmc0ckheg8b4qtt4", "input": { "image": "https://replicate.delivery/pbxt/M4wMkKxxrkE6ZGFE5WkAJdj6NF7HtcIZmJ39Arjqzcjq4LKE/cyberpunk_helly_by_disharmonica_deci4na.jpg", "model": "dev", "prompt": "Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, \na crumpled skirt \ntight gloves, \nwith a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "2024-12-03 08:26:07.554 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys\n2024-12-03 08:26:07.555 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 95%|█████████▌| 289/304 [00:00<00:00, 2889.84it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2717.44it/s]\n2024-12-03 08:26:07.667 | SUCCESS | fp8.lora_loading:unload_loras:559 - LoRAs unloaded in 0.11s\nfree=28978499371008\nDownloading weights\n2024-12-03T08:26:07Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp7fke7e1b/weights url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar\n2024-12-03T08:26:12Z | INFO | [ Complete ] dest=/tmp/tmp7fke7e1b/weights size=\"172 MB\" total_elapsed=4.372s url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar\nDownloaded weights in 4.40s\n2024-12-03 08:26:12.067 | INFO | fp8.lora_loading:convert_lora_weights:493 - Loading LoRA weights for /src/weights-cache/ff0ef52d1b5db0da\n2024-12-03 08:26:12.139 | INFO | fp8.lora_loading:convert_lora_weights:514 - LoRA weights loaded\n2024-12-03 08:26:12.139 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys\n2024-12-03 08:26:12.140 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 95%|█████████▌| 290/304 [00:00<00:00, 2855.73it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2720.96it/s]\n2024-12-03 08:26:12.252 | SUCCESS | fp8.lora_loading:load_lora:534 - LoRA applied in 0.19s\nUsing seed: 8825\nImage detected - settting to img2img mode\nInput image size: 1000x1500\nScaling image down to 960x1440\nInput image size set to: 960x1440\n0it [00:00, ?it/s]\n1it [00:00, 6.16it/s]\n2it [00:00, 4.30it/s]\n3it [00:00, 3.92it/s]\n4it [00:01, 3.72it/s]\n5it [00:01, 3.64it/s]\n6it [00:01, 3.60it/s]\n7it [00:01, 3.57it/s]\n8it [00:02, 3.54it/s]\n9it [00:02, 3.53it/s]\n10it [00:02, 3.53it/s]\n11it [00:03, 3.53it/s]\n12it [00:03, 3.51it/s]\n13it [00:03, 3.51it/s]\n14it [00:03, 3.52it/s]\n15it [00:04, 3.52it/s]\n16it [00:04, 3.51it/s]\n17it [00:04, 3.52it/s]\n18it [00:05, 3.51it/s]\n19it [00:05, 3.51it/s]\n20it [00:05, 3.51it/s]\n21it [00:05, 3.52it/s]\n22it [00:06, 3.51it/s]\n23it [00:06, 3.52it/s]\n23it [00:06, 3.58it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 11.716846339, "total_time": 36.39409 }, "output": [ "https://replicate.delivery/xezq/hKt6g5gPhhpfbyERId2inQdo9hAuUfu5Mm6FueCHjuhWVOunA/out-0.jpg" ], "started_at": "2024-12-03T08:26:07.444244Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-dqokcn233hgk5eddldsidxtt65gpnb7v67kw6mg6qj3haqgby4xa", "get": "https://api.replicate.com/v1/predictions/aj534t8edxrmc0ckheg8b4qtt4", "cancel": "https://api.replicate.com/v1/predictions/aj534t8edxrmc0ckheg8b4qtt4/cancel" }, "version": "f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f" }Generated in2024-12-03 08:26:07.554 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys 2024-12-03 08:26:07.555 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 95%|█████████▌| 289/304 [00:00<00:00, 2889.84it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2717.44it/s] 2024-12-03 08:26:07.667 | SUCCESS | fp8.lora_loading:unload_loras:559 - LoRAs unloaded in 0.11s free=28978499371008 Downloading weights 2024-12-03T08:26:07Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp7fke7e1b/weights url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar 2024-12-03T08:26:12Z | INFO | [ Complete ] dest=/tmp/tmp7fke7e1b/weights size="172 MB" total_elapsed=4.372s url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar Downloaded weights in 4.40s 2024-12-03 08:26:12.067 | INFO | fp8.lora_loading:convert_lora_weights:493 - Loading LoRA weights for /src/weights-cache/ff0ef52d1b5db0da 2024-12-03 08:26:12.139 | INFO | fp8.lora_loading:convert_lora_weights:514 - LoRA weights loaded 2024-12-03 08:26:12.139 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys 2024-12-03 08:26:12.140 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 95%|█████████▌| 290/304 [00:00<00:00, 2855.73it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2720.96it/s] 2024-12-03 08:26:12.252 | SUCCESS | fp8.lora_loading:load_lora:534 - LoRA applied in 0.19s Using seed: 8825 Image detected - settting to img2img mode Input image size: 1000x1500 Scaling image down to 960x1440 Input image size set to: 960x1440 0it [00:00, ?it/s] 1it [00:00, 6.16it/s] 2it [00:00, 4.30it/s] 3it [00:00, 3.92it/s] 4it [00:01, 3.72it/s] 5it [00:01, 3.64it/s] 6it [00:01, 3.60it/s] 7it [00:01, 3.57it/s] 8it [00:02, 3.54it/s] 9it [00:02, 3.53it/s] 10it [00:02, 3.53it/s] 11it [00:03, 3.53it/s] 12it [00:03, 3.51it/s] 13it [00:03, 3.51it/s] 14it [00:03, 3.52it/s] 15it [00:04, 3.52it/s] 16it [00:04, 3.51it/s] 17it [00:04, 3.52it/s] 18it [00:05, 3.51it/s] 19it [00:05, 3.51it/s] 20it [00:05, 3.51it/s] 21it [00:05, 3.52it/s] 22it [00:06, 3.51it/s] 23it [00:06, 3.52it/s] 23it [00:06, 3.58it/s] Total safe images: 1 out of 1Prediction
tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090fIDq1jzta61knrma0ckhegt48z32cStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- image
- model
- dev
- prompt
- Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, a crumpled skirt tight gloves, with a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "image": "https://replicate.delivery/pbxt/M4wOViX8ml4RrT2nbqCOGaEPF98oCAPhoD8lMFKTaytLQVAl/mdjrny-v4-style-oil-painting-heavy-strokes-paint-dripping-a-breathtaking-nude-portrait-of-a-25-y-717185775.png", "model": "dev", "prompt": "Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, \na crumpled skirt \ntight gloves, \nwith a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport 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 tokaito14/laura using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", { input: { image: "https://replicate.delivery/pbxt/M4wOViX8ml4RrT2nbqCOGaEPF98oCAPhoD8lMFKTaytLQVAl/mdjrny-v4-style-oil-painting-heavy-strokes-paint-dripping-a-breathtaking-nude-portrait-of-a-25-y-717185775.png", model: "dev", prompt: "Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, \na crumpled skirt \ntight gloves, \nwith a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 replicateImport the client:import replicateRun tokaito14/laura using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", input={ "image": "https://replicate.delivery/pbxt/M4wOViX8ml4RrT2nbqCOGaEPF98oCAPhoD8lMFKTaytLQVAl/mdjrny-v4-style-oil-painting-heavy-strokes-paint-dripping-a-breathtaking-nude-portrait-of-a-25-y-717185775.png", "model": "dev", "prompt": "Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, \na crumpled skirt \ntight gloves, \nwith a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run tokaito14/laura 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": "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", "input": { "image": "https://replicate.delivery/pbxt/M4wOViX8ml4RrT2nbqCOGaEPF98oCAPhoD8lMFKTaytLQVAl/mdjrny-v4-style-oil-painting-heavy-strokes-paint-dripping-a-breathtaking-nude-portrait-of-a-25-y-717185775.png", "model": "dev", "prompt": "Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, \\na crumpled skirt \\ntight gloves, \\nwith a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-03T08:27:44.292043Z", "created_at": "2024-12-03T08:27:34.173000Z", "data_removed": false, "error": null, "id": "q1jzta61knrma0ckhegt48z32c", "input": { "image": "https://replicate.delivery/pbxt/M4wOViX8ml4RrT2nbqCOGaEPF98oCAPhoD8lMFKTaytLQVAl/mdjrny-v4-style-oil-painting-heavy-strokes-paint-dripping-a-breathtaking-nude-portrait-of-a-25-y-717185775.png", "model": "dev", "prompt": "Fashionable portrait photograph of an intense woman, dressed in a crumpled brown leather blazer, \na crumpled skirt \ntight gloves, \nwith a straight black bowl haircut and a single long braided ponytail, dramatic lighting, depth of field that emphasises", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "2024-12-03 08:27:34.844 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys\n2024-12-03 08:27:34.844 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 93%|█████████▎| 284/304 [00:00<00:00, 2836.61it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2734.13it/s]\n2024-12-03 08:27:34.956 | SUCCESS | fp8.lora_loading:unload_loras:559 - LoRAs unloaded in 0.11s\nfree=28898056982528\nDownloading weights\n2024-12-03T08:27:34Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp8sre92k5/weights url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar\n2024-12-03T08:27:42Z | INFO | [ Complete ] dest=/tmp/tmp8sre92k5/weights size=\"172 MB\" total_elapsed=7.232s url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar\nDownloaded weights in 7.31s\n2024-12-03 08:27:42.270 | INFO | fp8.lora_loading:convert_lora_weights:493 - Loading LoRA weights for /src/weights-cache/ff0ef52d1b5db0da\n2024-12-03 08:27:42.341 | INFO | fp8.lora_loading:convert_lora_weights:514 - LoRA weights loaded\n2024-12-03 08:27:42.342 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys\n2024-12-03 08:27:42.342 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 94%|█████████▍| 285/304 [00:00<00:00, 2848.57it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2739.14it/s]\n2024-12-03 08:27:42.453 | SUCCESS | fp8.lora_loading:load_lora:534 - LoRA applied in 0.18s\nUsing seed: 12005\nImage detected - settting to img2img mode\nInput image size: 384x640\nInput image size set to: 384x640\n0it [00:00, ?it/s]\n3it [00:00, 19.26it/s]\n5it [00:00, 17.99it/s]\n7it [00:00, 17.50it/s]\n9it [00:00, 17.23it/s]\n11it [00:00, 17.08it/s]\n13it [00:00, 16.97it/s]\n15it [00:00, 16.91it/s]\n17it [00:00, 16.87it/s]\n19it [00:01, 16.85it/s]\n21it [00:01, 16.83it/s]\n23it [00:01, 16.82it/s]\n23it [00:01, 17.08it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 9.566289149, "total_time": 10.119043 }, "output": [ "https://replicate.delivery/xezq/9rBH6kAgkdrME19DCnJuDFtt5j3lWFAkK7hmvihUqTMAzx9E/out-0.jpg" ], "started_at": "2024-12-03T08:27:34.725753Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-vjoacszblt6tsyh3bz4amwyvkxnj5rih7ggy5ypg2xff4pvwocea", "get": "https://api.replicate.com/v1/predictions/q1jzta61knrma0ckhegt48z32c", "cancel": "https://api.replicate.com/v1/predictions/q1jzta61knrma0ckhegt48z32c/cancel" }, "version": "f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f" }Generated in2024-12-03 08:27:34.844 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys 2024-12-03 08:27:34.844 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 93%|█████████▎| 284/304 [00:00<00:00, 2836.61it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2734.13it/s] 2024-12-03 08:27:34.956 | SUCCESS | fp8.lora_loading:unload_loras:559 - LoRAs unloaded in 0.11s free=28898056982528 Downloading weights 2024-12-03T08:27:34Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp8sre92k5/weights url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar 2024-12-03T08:27:42Z | INFO | [ Complete ] dest=/tmp/tmp8sre92k5/weights size="172 MB" total_elapsed=7.232s url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar Downloaded weights in 7.31s 2024-12-03 08:27:42.270 | INFO | fp8.lora_loading:convert_lora_weights:493 - Loading LoRA weights for /src/weights-cache/ff0ef52d1b5db0da 2024-12-03 08:27:42.341 | INFO | fp8.lora_loading:convert_lora_weights:514 - LoRA weights loaded 2024-12-03 08:27:42.342 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys 2024-12-03 08:27:42.342 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 94%|█████████▍| 285/304 [00:00<00:00, 2848.57it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2739.14it/s] 2024-12-03 08:27:42.453 | SUCCESS | fp8.lora_loading:load_lora:534 - LoRA applied in 0.18s Using seed: 12005 Image detected - settting to img2img mode Input image size: 384x640 Input image size set to: 384x640 0it [00:00, ?it/s] 3it [00:00, 19.26it/s] 5it [00:00, 17.99it/s] 7it [00:00, 17.50it/s] 9it [00:00, 17.23it/s] 11it [00:00, 17.08it/s] 13it [00:00, 16.97it/s] 15it [00:00, 16.91it/s] 17it [00:00, 16.87it/s] 19it [00:01, 16.85it/s] 21it [00:01, 16.83it/s] 23it [00:01, 16.82it/s] 23it [00:01, 17.08it/s] Total safe images: 1 out of 1Prediction
tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090fIDqktqye6sddrm80ckhh296p2510StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a lovely mechanical fractal 3d crystal transformer cute erotic fairy petite slim anorexic body, italian face veronica leal looking into the camera. falling apart in an ancient city, scifi, futuristic, utopian city, machine parts, body parts, wires, circuits, bending closeup a lovely crystal embellished erotic cyborg with mechanical arm, octane render, cinematic, ayami kojima, karol bak, greg hildebrandt, and mark brooks, hauntingly surreal, gothic, highly detailed and intricate, rich deep colors., sf, intricate artwork masterpiece, ominous, matte painting movie poster, sf, intricate artwork masterpiece, ominous, matte painting movie poster, golden ratio, trending on cgsociety, intricate, epic, trending on artstation, by artgerm, h. r. giger and beksinski, highly detailed, vibrant, production cinematic character render, ultra high quality model
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 98
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a lovely mechanical fractal 3d crystal transformer cute erotic fairy petite slim anorexic body, italian face veronica leal looking into the camera. falling apart in an ancient city, scifi, futuristic, utopian city, machine parts, body parts, wires, circuits, bending closeup a lovely crystal embellished erotic cyborg with mechanical arm, octane render, cinematic, ayami kojima, karol bak, greg hildebrandt, and mark brooks, hauntingly surreal, gothic, highly detailed and intricate, rich deep colors., sf, intricate artwork masterpiece, ominous, matte painting movie poster, sf, intricate artwork masterpiece, ominous, matte painting movie poster, golden ratio, trending on cgsociety, intricate, epic, trending on artstation, by artgerm, h. r. giger and beksinski, highly detailed, vibrant, production cinematic character render, ultra high quality model \n", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 98, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport 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 tokaito14/laura using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", { input: { model: "dev", prompt: "a lovely mechanical fractal 3d crystal transformer cute erotic fairy petite slim anorexic body, italian face veronica leal looking into the camera. falling apart in an ancient city, scifi, futuristic, utopian city, machine parts, body parts, wires, circuits, bending closeup a lovely crystal embellished erotic cyborg with mechanical arm, octane render, cinematic, ayami kojima, karol bak, greg hildebrandt, and mark brooks, hauntingly surreal, gothic, highly detailed and intricate, rich deep colors., sf, intricate artwork masterpiece, ominous, matte painting movie poster, sf, intricate artwork masterpiece, ominous, matte painting movie poster, golden ratio, trending on cgsociety, intricate, epic, trending on artstation, by artgerm, h. r. giger and beksinski, highly detailed, vibrant, production cinematic character render, ultra high quality model \n", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 3.5, output_quality: 98, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 replicateImport the client:import replicateRun tokaito14/laura using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", input={ "model": "dev", "prompt": "a lovely mechanical fractal 3d crystal transformer cute erotic fairy petite slim anorexic body, italian face veronica leal looking into the camera. falling apart in an ancient city, scifi, futuristic, utopian city, machine parts, body parts, wires, circuits, bending closeup a lovely crystal embellished erotic cyborg with mechanical arm, octane render, cinematic, ayami kojima, karol bak, greg hildebrandt, and mark brooks, hauntingly surreal, gothic, highly detailed and intricate, rich deep colors., sf, intricate artwork masterpiece, ominous, matte painting movie poster, sf, intricate artwork masterpiece, ominous, matte painting movie poster, golden ratio, trending on cgsociety, intricate, epic, trending on artstation, by artgerm, h. r. giger and beksinski, highly detailed, vibrant, production cinematic character render, ultra high quality model \n", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 98, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run tokaito14/laura 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": "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", "input": { "model": "dev", "prompt": "a lovely mechanical fractal 3d crystal transformer cute erotic fairy petite slim anorexic body, italian face veronica leal looking into the camera. falling apart in an ancient city, scifi, futuristic, utopian city, machine parts, body parts, wires, circuits, bending closeup a lovely crystal embellished erotic cyborg with mechanical arm, octane render, cinematic, ayami kojima, karol bak, greg hildebrandt, and mark brooks, hauntingly surreal, gothic, highly detailed and intricate, rich deep colors., sf, intricate artwork masterpiece, ominous, matte painting movie poster, sf, intricate artwork masterpiece, ominous, matte painting movie poster, golden ratio, trending on cgsociety, intricate, epic, trending on artstation, by artgerm, h. r. giger and beksinski, highly detailed, vibrant, production cinematic character render, ultra high quality model \\n", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 98, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-03T11:25:51.664380Z", "created_at": "2024-12-03T11:25:42.635000Z", "data_removed": false, "error": null, "id": "qktqye6sddrm80ckhh296p2510", "input": { "model": "dev", "prompt": "a lovely mechanical fractal 3d crystal transformer cute erotic fairy petite slim anorexic body, italian face veronica leal looking into the camera. falling apart in an ancient city, scifi, futuristic, utopian city, machine parts, body parts, wires, circuits, bending closeup a lovely crystal embellished erotic cyborg with mechanical arm, octane render, cinematic, ayami kojima, karol bak, greg hildebrandt, and mark brooks, hauntingly surreal, gothic, highly detailed and intricate, rich deep colors., sf, intricate artwork masterpiece, ominous, matte painting movie poster, sf, intricate artwork masterpiece, ominous, matte painting movie poster, golden ratio, trending on cgsociety, intricate, epic, trending on artstation, by artgerm, h. r. giger and beksinski, highly detailed, vibrant, production cinematic character render, ultra high quality model \n", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 98, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "2024-12-03 11:25:43.545 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys\n2024-12-03 11:25:43.545 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 93%|█████████▎| 282/304 [00:00<00:00, 2811.76it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2668.82it/s]\n2024-12-03 11:25:43.660 | SUCCESS | fp8.lora_loading:unload_loras:559 - LoRAs unloaded in 0.11s\nfree=29013861863424\nDownloading weights\n2024-12-03T11:25:43Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp0y07zlwa/weights url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar\n2024-12-03T11:25:45Z | INFO | [ Complete ] dest=/tmp/tmp0y07zlwa/weights size=\"172 MB\" total_elapsed=1.769s url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar\nDownloaded weights in 1.79s\n2024-12-03 11:25:45.456 | INFO | fp8.lora_loading:convert_lora_weights:493 - Loading LoRA weights for /src/weights-cache/ff0ef52d1b5db0da\n2024-12-03 11:25:45.528 | INFO | fp8.lora_loading:convert_lora_weights:514 - LoRA weights loaded\n2024-12-03 11:25:45.528 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys\n2024-12-03 11:25:45.529 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 93%|█████████▎| 282/304 [00:00<00:00, 2814.13it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2670.80it/s]\n2024-12-03 11:25:45.643 | SUCCESS | fp8.lora_loading:load_lora:534 - LoRA applied in 0.19s\nUsing seed: 26409\n0it [00:00, ?it/s]\n1it [00:00, 8.44it/s]\n2it [00:00, 5.89it/s]\n3it [00:00, 5.38it/s]\n4it [00:00, 5.17it/s]\n5it [00:00, 5.02it/s]\n6it [00:01, 4.93it/s]\n7it [00:01, 4.90it/s]\n8it [00:01, 4.89it/s]\n9it [00:01, 4.88it/s]\n10it [00:01, 4.86it/s]\n11it [00:02, 4.85it/s]\n12it [00:02, 4.84it/s]\n13it [00:02, 4.85it/s]\n14it [00:02, 4.85it/s]\n15it [00:03, 4.83it/s]\n16it [00:03, 4.82it/s]\n17it [00:03, 4.82it/s]\n18it [00:03, 4.83it/s]\n19it [00:03, 4.82it/s]\n20it [00:04, 4.81it/s]\n21it [00:04, 4.81it/s]\n22it [00:04, 4.81it/s]\n23it [00:04, 4.82it/s]\n24it [00:04, 4.82it/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]\n28it [00:05, 4.90it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 8.117989635, "total_time": 9.02938 }, "output": [ "https://replicate.delivery/xezq/A9PSX2uO0cqHK1MLW8B7SHDfz6bhHvwjFCMwGJKMbdjfyJ3TA/out-0.jpg" ], "started_at": "2024-12-03T11:25:43.546391Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-twejpvw7u5l7jipthuckl32ymztcbztmf54xjctun6jbmq6vzoqa", "get": "https://api.replicate.com/v1/predictions/qktqye6sddrm80ckhh296p2510", "cancel": "https://api.replicate.com/v1/predictions/qktqye6sddrm80ckhh296p2510/cancel" }, "version": "f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f" }Generated in2024-12-03 11:25:43.545 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys 2024-12-03 11:25:43.545 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 93%|█████████▎| 282/304 [00:00<00:00, 2811.76it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2668.82it/s] 2024-12-03 11:25:43.660 | SUCCESS | fp8.lora_loading:unload_loras:559 - LoRAs unloaded in 0.11s free=29013861863424 Downloading weights 2024-12-03T11:25:43Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp0y07zlwa/weights url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar 2024-12-03T11:25:45Z | INFO | [ Complete ] dest=/tmp/tmp0y07zlwa/weights size="172 MB" total_elapsed=1.769s url=https://replicate.delivery/yhqm/T54KYyf1TBUdaCNkd0zzyzjfiH2THI5u3I6FOhJbmggM85ZTA/trained_model.tar Downloaded weights in 1.79s 2024-12-03 11:25:45.456 | INFO | fp8.lora_loading:convert_lora_weights:493 - Loading LoRA weights for /src/weights-cache/ff0ef52d1b5db0da 2024-12-03 11:25:45.528 | INFO | fp8.lora_loading:convert_lora_weights:514 - LoRA weights loaded 2024-12-03 11:25:45.528 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys 2024-12-03 11:25:45.529 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 93%|█████████▎| 282/304 [00:00<00:00, 2814.13it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2670.80it/s] 2024-12-03 11:25:45.643 | SUCCESS | fp8.lora_loading:load_lora:534 - LoRA applied in 0.19s Using seed: 26409 0it [00:00, ?it/s] 1it [00:00, 8.44it/s] 2it [00:00, 5.89it/s] 3it [00:00, 5.38it/s] 4it [00:00, 5.17it/s] 5it [00:00, 5.02it/s] 6it [00:01, 4.93it/s] 7it [00:01, 4.90it/s] 8it [00:01, 4.89it/s] 9it [00:01, 4.88it/s] 10it [00:01, 4.86it/s] 11it [00:02, 4.85it/s] 12it [00:02, 4.84it/s] 13it [00:02, 4.85it/s] 14it [00:02, 4.85it/s] 15it [00:03, 4.83it/s] 16it [00:03, 4.82it/s] 17it [00:03, 4.82it/s] 18it [00:03, 4.83it/s] 19it [00:03, 4.82it/s] 20it [00:04, 4.81it/s] 21it [00:04, 4.81it/s] 22it [00:04, 4.81it/s] 23it [00:04, 4.82it/s] 24it [00:04, 4.82it/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] 28it [00:05, 4.90it/s] Total safe images: 1 out of 1Prediction
tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090fID4jw2aw1gq1rm80ckhh3tscatkrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- image
- model
- dev
- prompt
- Full body portrait
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 98
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "image": "https://replicate.delivery/pbxt/M4z9iFXXsb1rcMQ4fFMVsCBZYcsDzDHSvYXKyJUqLAeYNlS2/fancy_helly_by_disharmonica_df3pq4r.jpg", "model": "dev", "prompt": "Full body portrait", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 98, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport 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 tokaito14/laura using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", { input: { image: "https://replicate.delivery/pbxt/M4z9iFXXsb1rcMQ4fFMVsCBZYcsDzDHSvYXKyJUqLAeYNlS2/fancy_helly_by_disharmonica_df3pq4r.jpg", model: "dev", prompt: "Full body portrait", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 3.5, output_quality: 98, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 replicateImport the client:import replicateRun tokaito14/laura using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", input={ "image": "https://replicate.delivery/pbxt/M4z9iFXXsb1rcMQ4fFMVsCBZYcsDzDHSvYXKyJUqLAeYNlS2/fancy_helly_by_disharmonica_df3pq4r.jpg", "model": "dev", "prompt": "Full body portrait", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 98, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run tokaito14/laura 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": "tokaito14/laura:f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f", "input": { "image": "https://replicate.delivery/pbxt/M4z9iFXXsb1rcMQ4fFMVsCBZYcsDzDHSvYXKyJUqLAeYNlS2/fancy_helly_by_disharmonica_df3pq4r.jpg", "model": "dev", "prompt": "Full body portrait", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 98, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-03T11:28:25.171946Z", "created_at": "2024-12-03T11:28:16.056000Z", "data_removed": false, "error": null, "id": "4jw2aw1gq1rm80ckhh3tscatkr", "input": { "image": "https://replicate.delivery/pbxt/M4z9iFXXsb1rcMQ4fFMVsCBZYcsDzDHSvYXKyJUqLAeYNlS2/fancy_helly_by_disharmonica_df3pq4r.jpg", "model": "dev", "prompt": "Full body portrait", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 98, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "2024-12-03 11:28:16.900 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys\n2024-12-03 11:28:16.900 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 90%|█████████ | 274/304 [00:00<00:00, 2732.62it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2715.85it/s]\n2024-12-03 11:28:17.012 | SUCCESS | fp8.lora_loading:unload_loras:559 - LoRAs unloaded in 0.11s\n2024-12-03 11:28:17.014 | INFO | fp8.lora_loading:convert_lora_weights:493 - Loading LoRA weights for /src/weights-cache/ff0ef52d1b5db0da\n2024-12-03 11:28:17.129 | INFO | fp8.lora_loading:convert_lora_weights:514 - LoRA weights loaded\n2024-12-03 11:28:17.129 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys\n2024-12-03 11:28:17.129 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 90%|█████████ | 274/304 [00:00<00:00, 2737.38it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2720.11it/s]\n2024-12-03 11:28:17.241 | SUCCESS | fp8.lora_loading:load_lora:534 - LoRA applied in 0.23s\nUsing seed: 19266\nImage detected - settting to img2img mode\nInput image size: 1000x1500\nScaling image down to 960x1440\nInput image size set to: 960x1440\n0it [00:00, ?it/s]\n1it [00:00, 6.13it/s]\n2it [00:00, 4.25it/s]\n3it [00:00, 3.87it/s]\n4it [00:01, 3.65it/s]\n5it [00:01, 3.58it/s]\n6it [00:01, 3.55it/s]\n7it [00:01, 3.51it/s]\n8it [00:02, 3.49it/s]\n9it [00:02, 3.49it/s]\n10it [00:02, 3.48it/s]\n11it [00:03, 3.47it/s]\n12it [00:03, 3.47it/s]\n13it [00:03, 3.47it/s]\n14it [00:03, 3.46it/s]\n15it [00:04, 3.45it/s]\n16it [00:04, 3.46it/s]\n17it [00:04, 3.45it/s]\n18it [00:05, 3.45it/s]\n19it [00:05, 3.45it/s]\n20it [00:05, 3.45it/s]\n21it [00:05, 3.45it/s]\n22it [00:06, 3.45it/s]\n23it [00:06, 3.45it/s]\n23it [00:06, 3.52it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 8.406449321, "total_time": 9.115946 }, "output": [ "https://replicate.delivery/xezq/mOHUwSi9nM5UB11AKPNl2EIA9IUDdR4DgBFad1XimKRWdy9E/out-0.jpg" ], "started_at": "2024-12-03T11:28:16.765497Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-kfpkqialzd6cpzvnxg5yqiurxp3he3tjirt4j5i44gjocwpigcwa", "get": "https://api.replicate.com/v1/predictions/4jw2aw1gq1rm80ckhh3tscatkr", "cancel": "https://api.replicate.com/v1/predictions/4jw2aw1gq1rm80ckhh3tscatkr/cancel" }, "version": "f3b878c5908310e9bd4625a94b8b8488feeb389c250b0d698a54ca7c84fd090f" }Generated in2024-12-03 11:28:16.900 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys 2024-12-03 11:28:16.900 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 90%|█████████ | 274/304 [00:00<00:00, 2732.62it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2715.85it/s] 2024-12-03 11:28:17.012 | SUCCESS | fp8.lora_loading:unload_loras:559 - LoRAs unloaded in 0.11s 2024-12-03 11:28:17.014 | INFO | fp8.lora_loading:convert_lora_weights:493 - Loading LoRA weights for /src/weights-cache/ff0ef52d1b5db0da 2024-12-03 11:28:17.129 | INFO | fp8.lora_loading:convert_lora_weights:514 - LoRA weights loaded 2024-12-03 11:28:17.129 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys 2024-12-03 11:28:17.129 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 90%|█████████ | 274/304 [00:00<00:00, 2737.38it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2720.11it/s] 2024-12-03 11:28:17.241 | SUCCESS | fp8.lora_loading:load_lora:534 - LoRA applied in 0.23s Using seed: 19266 Image detected - settting to img2img mode Input image size: 1000x1500 Scaling image down to 960x1440 Input image size set to: 960x1440 0it [00:00, ?it/s] 1it [00:00, 6.13it/s] 2it [00:00, 4.25it/s] 3it [00:00, 3.87it/s] 4it [00:01, 3.65it/s] 5it [00:01, 3.58it/s] 6it [00:01, 3.55it/s] 7it [00:01, 3.51it/s] 8it [00:02, 3.49it/s] 9it [00:02, 3.49it/s] 10it [00:02, 3.48it/s] 11it [00:03, 3.47it/s] 12it [00:03, 3.47it/s] 13it [00:03, 3.47it/s] 14it [00:03, 3.46it/s] 15it [00:04, 3.45it/s] 16it [00:04, 3.46it/s] 17it [00:04, 3.45it/s] 18it [00:05, 3.45it/s] 19it [00:05, 3.45it/s] 20it [00:05, 3.45it/s] 21it [00:05, 3.45it/s] 22it [00:06, 3.45it/s] 23it [00:06, 3.45it/s] 23it [00:06, 3.52it/s] Total safe images: 1 out of 1
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