popovluka
/
luka-flux-lora-model
- Public
- 89 runs
-
H100
Prediction
popovluka/luka-flux-lora-model:5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938ID7tk44cjbxhrma0cm8aqtkeeepgStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A photo of lucio as a man drinking coffee in winter cafe
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- png
- guidance_scale
- 5
- output_quality
- 50
- prompt_strength
- 0.5
- extra_lora_scale
- 1
- num_inference_steps
- 25
{ "model": "dev", "prompt": "A photo of lucio as a man drinking coffee in winter cafe", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "png", "guidance_scale": 5, "output_quality": 50, "prompt_strength": 0.5, "extra_lora_scale": 1, "num_inference_steps": 25 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run popovluka/luka-flux-lora-model using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "popovluka/luka-flux-lora-model:5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938", { input: { model: "dev", prompt: "A photo of lucio as a man drinking coffee in winter cafe", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "9:16", output_format: "png", guidance_scale: 5, output_quality: 50, prompt_strength: 0.5, extra_lora_scale: 1, num_inference_steps: 25 } } ); // 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 popovluka/luka-flux-lora-model using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "popovluka/luka-flux-lora-model:5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938", input={ "model": "dev", "prompt": "A photo of lucio as a man drinking coffee in winter cafe", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "png", "guidance_scale": 5, "output_quality": 50, "prompt_strength": 0.5, "extra_lora_scale": 1, "num_inference_steps": 25 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run popovluka/luka-flux-lora-model 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": "popovluka/luka-flux-lora-model:5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938", "input": { "model": "dev", "prompt": "A photo of lucio as a man drinking coffee in winter cafe", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "png", "guidance_scale": 5, "output_quality": 50, "prompt_strength": 0.5, "extra_lora_scale": 1, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-07T21:33:02.348632Z", "created_at": "2025-01-07T21:32:52.076000Z", "data_removed": false, "error": null, "id": "7tk44cjbxhrma0cm8aqtkeeepg", "input": { "model": "dev", "prompt": "A photo of lucio as a man drinking coffee in winter cafe", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "png", "guidance_scale": 5, "output_quality": 50, "prompt_strength": 0.5, "extra_lora_scale": 1, "num_inference_steps": 25 }, "logs": "2025-01-07 21:32:52.155 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-07 21:32:52.156 | 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, 2767.80it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2619.88it/s]\n2025-01-07 21:32:52.272 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\nfree=28678905905152\nDownloading weights\n2025-01-07T21:32:52Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmptcie5u8d/weights url=https://replicate.delivery/yhqm/e75n1f6s9LmcEEMFbySFWbfPgJi0C3xS8Wa0XwqnzXeHx4faC/trained_model.tar\n2025-01-07T21:32:56Z | INFO | [ Complete ] dest=/tmp/tmptcie5u8d/weights size=\"194 MB\" total_elapsed=4.241s url=https://replicate.delivery/yhqm/e75n1f6s9LmcEEMFbySFWbfPgJi0C3xS8Wa0XwqnzXeHx4faC/trained_model.tar\nDownloaded weights in 4.27s\n2025-01-07 21:32:56.541 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/22a781654afdec9a\n2025-01-07 21:32:56.617 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-07 21:32:56.617 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-07 21:32:56.617 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 96%|█████████▌| 291/304 [00:00<00:00, 2903.25it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2779.23it/s]\n2025-01-07 21:32:56.727 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 57578\n0it [00:00, ?it/s]\n1it [00:00, 8.50it/s]\n2it [00:00, 5.95it/s]\n3it [00:00, 5.41it/s]\n4it [00:00, 5.21it/s]\n5it [00:00, 5.06it/s]\n6it [00:01, 4.96it/s]\n7it [00:01, 4.93it/s]\n8it [00:01, 4.92it/s]\n9it [00:01, 4.91it/s]\n10it [00:01, 4.89it/s]\n11it [00:02, 4.87it/s]\n12it [00:02, 4.87it/s]\n13it [00:02, 4.88it/s]\n14it [00:02, 4.88it/s]\n15it [00:02, 4.86it/s]\n16it [00:03, 4.85it/s]\n17it [00:03, 4.85it/s]\n18it [00:03, 4.85it/s]\n19it [00:03, 4.86it/s]\n20it [00:04, 4.86it/s]\n21it [00:04, 4.86it/s]\n22it [00:04, 4.85it/s]\n23it [00:04, 4.86it/s]\n24it [00:04, 4.86it/s]\n25it [00:05, 4.86it/s]\n25it [00:05, 4.95it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 10.192589047, "total_time": 10.272632 }, "output": [ "https://replicate.delivery/xezq/0fNS4wRc4O0JCCxbcDGfLa0oeTzuVfruXZb33rRcAyY64TLQB/out-0.png" ], "started_at": "2025-01-07T21:32:52.156043Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-4fx3kxrjbdtjcfpvajp3rkb5nd5zsn42tdp6sfxx6bqqgsqwr3ya", "get": "https://api.replicate.com/v1/predictions/7tk44cjbxhrma0cm8aqtkeeepg", "cancel": "https://api.replicate.com/v1/predictions/7tk44cjbxhrma0cm8aqtkeeepg/cancel" }, "version": "5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938" }
Generated in2025-01-07 21:32:52.155 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-07 21:32:52.156 | 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, 2767.80it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2619.88it/s] 2025-01-07 21:32:52.272 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s free=28678905905152 Downloading weights 2025-01-07T21:32:52Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmptcie5u8d/weights url=https://replicate.delivery/yhqm/e75n1f6s9LmcEEMFbySFWbfPgJi0C3xS8Wa0XwqnzXeHx4faC/trained_model.tar 2025-01-07T21:32:56Z | INFO | [ Complete ] dest=/tmp/tmptcie5u8d/weights size="194 MB" total_elapsed=4.241s url=https://replicate.delivery/yhqm/e75n1f6s9LmcEEMFbySFWbfPgJi0C3xS8Wa0XwqnzXeHx4faC/trained_model.tar Downloaded weights in 4.27s 2025-01-07 21:32:56.541 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/22a781654afdec9a 2025-01-07 21:32:56.617 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2025-01-07 21:32:56.617 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-07 21:32:56.617 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 96%|█████████▌| 291/304 [00:00<00:00, 2903.25it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2779.23it/s] 2025-01-07 21:32:56.727 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s Using seed: 57578 0it [00:00, ?it/s] 1it [00:00, 8.50it/s] 2it [00:00, 5.95it/s] 3it [00:00, 5.41it/s] 4it [00:00, 5.21it/s] 5it [00:00, 5.06it/s] 6it [00:01, 4.96it/s] 7it [00:01, 4.93it/s] 8it [00:01, 4.92it/s] 9it [00:01, 4.91it/s] 10it [00:01, 4.89it/s] 11it [00:02, 4.87it/s] 12it [00:02, 4.87it/s] 13it [00:02, 4.88it/s] 14it [00:02, 4.88it/s] 15it [00:02, 4.86it/s] 16it [00:03, 4.85it/s] 17it [00:03, 4.85it/s] 18it [00:03, 4.85it/s] 19it [00:03, 4.86it/s] 20it [00:04, 4.86it/s] 21it [00:04, 4.86it/s] 22it [00:04, 4.85it/s] 23it [00:04, 4.86it/s] 24it [00:04, 4.86it/s] 25it [00:05, 4.86it/s] 25it [00:05, 4.95it/s] Total safe images: 1 out of 1
Prediction
popovluka/luka-flux-lora-model:5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938IDsk8a9kr7v1rm80cm8pb9k4xdpcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A photo of lusijo as a man with short dark hair and short beard driving a lawn mower in russia while building is exploding in the background, lucio driving red lawn mower, amateur low resolution photo, shot on a mobile phone
- go_fast
- extra_lora
- https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 3:4
- output_format
- png
- guidance_scale
- 2.7
- output_quality
- 50
- prompt_strength
- 0.8
- extra_lora_scale
- 0.4
- num_inference_steps
- 25
{ "model": "dev", "prompt": "A photo of lusijo as a man with short dark hair and short beard driving a lawn mower in russia while building is exploding in the background, lucio driving red lawn mower, amateur low resolution photo, shot on a mobile phone", "go_fast": false, "extra_lora": "https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor", "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "3:4", "output_format": "png", "guidance_scale": 2.7, "output_quality": 50, "prompt_strength": 0.8, "extra_lora_scale": 0.4, "num_inference_steps": 25 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run popovluka/luka-flux-lora-model using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "popovluka/luka-flux-lora-model:5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938", { input: { model: "dev", prompt: "A photo of lusijo as a man with short dark hair and short beard driving a lawn mower in russia while building is exploding in the background, lucio driving red lawn mower, amateur low resolution photo, shot on a mobile phone", go_fast: false, extra_lora: "https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor", lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "3:4", output_format: "png", guidance_scale: 2.7, output_quality: 50, prompt_strength: 0.8, extra_lora_scale: 0.4, num_inference_steps: 25 } } ); // 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 popovluka/luka-flux-lora-model using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "popovluka/luka-flux-lora-model:5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938", input={ "model": "dev", "prompt": "A photo of lusijo as a man with short dark hair and short beard driving a lawn mower in russia while building is exploding in the background, lucio driving red lawn mower, amateur low resolution photo, shot on a mobile phone", "go_fast": False, "extra_lora": "https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor", "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "3:4", "output_format": "png", "guidance_scale": 2.7, "output_quality": 50, "prompt_strength": 0.8, "extra_lora_scale": 0.4, "num_inference_steps": 25 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run popovluka/luka-flux-lora-model 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": "popovluka/luka-flux-lora-model:5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938", "input": { "model": "dev", "prompt": "A photo of lusijo as a man with short dark hair and short beard driving a lawn mower in russia while building is exploding in the background, lucio driving red lawn mower, amateur low resolution photo, shot on a mobile phone", "go_fast": false, "extra_lora": "https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor", "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "3:4", "output_format": "png", "guidance_scale": 2.7, "output_quality": 50, "prompt_strength": 0.8, "extra_lora_scale": 0.4, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-08T11:04:23.301564Z", "created_at": "2025-01-08T11:04:07.896000Z", "data_removed": false, "error": null, "id": "sk8a9kr7v1rm80cm8pb9k4xdpc", "input": { "model": "dev", "prompt": "A photo of lusijo as a man with short dark hair and short beard driving a lawn mower in russia while building is exploding in the background, lucio driving red lawn mower, amateur low resolution photo, shot on a mobile phone", "go_fast": false, "extra_lora": "https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor", "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "3:4", "output_format": "png", "guidance_scale": 2.7, "output_quality": 50, "prompt_strength": 0.8, "extra_lora_scale": 0.4, "num_inference_steps": 25 }, "logs": "2025-01-08 11:04:08.141 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-08 11:04:08.141 | 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, 2764.57it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2627.44it/s]\n2025-01-08 11:04:08.257 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\nfree=29061033394176\nDownloading weights\n2025-01-08T11:04:08Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpo8s19qe7/weights url=https://replicate.delivery/yhqm/e75n1f6s9LmcEEMFbySFWbfPgJi0C3xS8Wa0XwqnzXeHx4faC/trained_model.tar\n2025-01-08T11:04:14Z | INFO | [ Complete ] dest=/tmp/tmpo8s19qe7/weights size=\"194 MB\" total_elapsed=5.812s url=https://replicate.delivery/yhqm/e75n1f6s9LmcEEMFbySFWbfPgJi0C3xS8Wa0XwqnzXeHx4faC/trained_model.tar\nDownloaded weights in 5.84s\nfree=29060837412864\nDownloading weights\n2025-01-08T11:04:14Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/ef79fa66e979bc9f url=https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor\n2025-01-08T11:04:14Z | INFO | [ Redirect ] redirect_url=https://civitai-delivery-worker-prod.5ac0637cfd0766c97916cefa3764fbdf.r2.cloudflarestorage.com/model/2703479/anotherAmateurLora.8wyO.safetensors?X-Amz-Expires=86400&response-content-disposition=attachment%3B%20filename%3D%22Another_Amateur_Lora.safetensors%22&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=e01358d793ad6966166af8b3064953ad/20250108/us-east-1/s3/aws4_request&X-Amz-Date=20250108T110414Z&X-Amz-SignedHeaders=host&X-Amz-Signature=821cba6b2bacdb0cd47f87468e0beb8e0b7e9c307713455df5eeb013063e7c2e url=https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor\n2025-01-08T11:04:16Z | INFO | [ Complete ] dest=/src/weights-cache/ef79fa66e979bc9f size=\"1.2 GB\" total_elapsed=2.856s url=https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor\nDownloaded weights in 2.92s\n2025-01-08 11:04:17.022 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/22a781654afdec9a\n2025-01-08 11:04:17.100 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-08 11:04:17.100 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-08 11:04:17.101 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 96%|█████████▋| 293/304 [00:00<00:00, 2918.97it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2819.20it/s]\n2025-01-08 11:04:17.209 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\n2025-01-08 11:04:17.209 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/ef79fa66e979bc9f\n2025-01-08 11:04:17.522 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-08 11:04:17.522 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-08 11:04:17.523 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 91%|█████████ | 277/304 [00:00<00:00, 2750.94it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2607.52it/s]\n2025-01-08 11:04:17.639 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.43s\nUsing seed: 63047\n0it [00:00, ?it/s]\n1it [00:00, 8.43it/s]\n2it [00:00, 5.90it/s]\n3it [00:00, 5.39it/s]\n4it [00:00, 5.18it/s]\n5it [00:00, 5.07it/s]\n6it [00:01, 5.00it/s]\n7it [00:01, 4.96it/s]\n8it [00:01, 4.93it/s]\n9it [00:01, 4.91it/s]\n10it [00:01, 4.90it/s]\n11it [00:02, 4.89it/s]\n12it [00:02, 4.88it/s]\n13it [00:02, 4.88it/s]\n14it [00:02, 4.87it/s]\n15it [00:02, 4.87it/s]\n16it [00:03, 4.87it/s]\n17it [00:03, 4.87it/s]\n18it [00:03, 4.87it/s]\n19it [00:03, 4.88it/s]\n20it [00:04, 4.88it/s]\n21it [00:04, 4.88it/s]\n22it [00:04, 4.89it/s]\n23it [00:04, 4.89it/s]\n24it [00:04, 4.88it/s]\n25it [00:05, 4.88it/s]\n25it [00:05, 4.96it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 15.159767689, "total_time": 15.405564 }, "output": [ "https://replicate.delivery/xezq/1FmZwTTkbzZ9ElQfKiFIsfUDmdM3Qe0rq4Weftgo3aX62GYgC/out-0.png" ], "started_at": "2025-01-08T11:04:08.141797Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-5pboc4jcenbxdwqdf7ulusfgo3zq4bdahfbffhdapes5atn25jgq", "get": "https://api.replicate.com/v1/predictions/sk8a9kr7v1rm80cm8pb9k4xdpc", "cancel": "https://api.replicate.com/v1/predictions/sk8a9kr7v1rm80cm8pb9k4xdpc/cancel" }, "version": "5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938" }
Generated in2025-01-08 11:04:08.141 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-08 11:04:08.141 | 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, 2764.57it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2627.44it/s] 2025-01-08 11:04:08.257 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s free=29061033394176 Downloading weights 2025-01-08T11:04:08Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpo8s19qe7/weights url=https://replicate.delivery/yhqm/e75n1f6s9LmcEEMFbySFWbfPgJi0C3xS8Wa0XwqnzXeHx4faC/trained_model.tar 2025-01-08T11:04:14Z | INFO | [ Complete ] dest=/tmp/tmpo8s19qe7/weights size="194 MB" total_elapsed=5.812s url=https://replicate.delivery/yhqm/e75n1f6s9LmcEEMFbySFWbfPgJi0C3xS8Wa0XwqnzXeHx4faC/trained_model.tar Downloaded weights in 5.84s free=29060837412864 Downloading weights 2025-01-08T11:04:14Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/ef79fa66e979bc9f url=https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor 2025-01-08T11:04:14Z | INFO | [ Redirect ] redirect_url=https://civitai-delivery-worker-prod.5ac0637cfd0766c97916cefa3764fbdf.r2.cloudflarestorage.com/model/2703479/anotherAmateurLora.8wyO.safetensors?X-Amz-Expires=86400&response-content-disposition=attachment%3B%20filename%3D%22Another_Amateur_Lora.safetensors%22&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=e01358d793ad6966166af8b3064953ad/20250108/us-east-1/s3/aws4_request&X-Amz-Date=20250108T110414Z&X-Amz-SignedHeaders=host&X-Amz-Signature=821cba6b2bacdb0cd47f87468e0beb8e0b7e9c307713455df5eeb013063e7c2e url=https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor 2025-01-08T11:04:16Z | INFO | [ Complete ] dest=/src/weights-cache/ef79fa66e979bc9f size="1.2 GB" total_elapsed=2.856s url=https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor Downloaded weights in 2.92s 2025-01-08 11:04:17.022 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/22a781654afdec9a 2025-01-08 11:04:17.100 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2025-01-08 11:04:17.100 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-08 11:04:17.101 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 96%|█████████▋| 293/304 [00:00<00:00, 2918.97it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2819.20it/s] 2025-01-08 11:04:17.209 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s 2025-01-08 11:04:17.209 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/ef79fa66e979bc9f 2025-01-08 11:04:17.522 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2025-01-08 11:04:17.522 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-08 11:04:17.523 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 91%|█████████ | 277/304 [00:00<00:00, 2750.94it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2607.52it/s] 2025-01-08 11:04:17.639 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.43s Using seed: 63047 0it [00:00, ?it/s] 1it [00:00, 8.43it/s] 2it [00:00, 5.90it/s] 3it [00:00, 5.39it/s] 4it [00:00, 5.18it/s] 5it [00:00, 5.07it/s] 6it [00:01, 5.00it/s] 7it [00:01, 4.96it/s] 8it [00:01, 4.93it/s] 9it [00:01, 4.91it/s] 10it [00:01, 4.90it/s] 11it [00:02, 4.89it/s] 12it [00:02, 4.88it/s] 13it [00:02, 4.88it/s] 14it [00:02, 4.87it/s] 15it [00:02, 4.87it/s] 16it [00:03, 4.87it/s] 17it [00:03, 4.87it/s] 18it [00:03, 4.87it/s] 19it [00:03, 4.88it/s] 20it [00:04, 4.88it/s] 21it [00:04, 4.88it/s] 22it [00:04, 4.89it/s] 23it [00:04, 4.89it/s] 24it [00:04, 4.88it/s] 25it [00:05, 4.88it/s] 25it [00:05, 4.96it/s] Total safe images: 1 out of 1
Prediction
popovluka/luka-flux-lora-model:5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938IDwezrwd5g15rme0cm8qbar5s8rgStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- seed
- 528
- model
- dev
- prompt
- A photo of lusijo as a man with short dark hair and short beard standing next to a s300 air defense system in belgrade while building is exploding in the background, lusijo in santa clause costume, amateur low resolution photo, shot on a mobile phone, lusijo looking at the camera
- go_fast
- extra_lora
- https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 3:4
- output_format
- png
- guidance_scale
- 3.5
- output_quality
- 50
- prompt_strength
- 0.8
- extra_lora_scale
- 0.5
- num_inference_steps
- 18
{ "seed": 528, "model": "dev", "prompt": "A photo of lusijo as a man with short dark hair and short beard standing next to a s300 air defense system in belgrade while building is exploding in the background, lusijo in santa clause costume, amateur low resolution photo, shot on a mobile phone, lusijo looking at the camera", "go_fast": false, "extra_lora": "https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor", "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "3:4", "output_format": "png", "guidance_scale": 3.5, "output_quality": 50, "prompt_strength": 0.8, "extra_lora_scale": 0.5, "num_inference_steps": 18 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run popovluka/luka-flux-lora-model using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "popovluka/luka-flux-lora-model:5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938", { input: { seed: 528, model: "dev", prompt: "A photo of lusijo as a man with short dark hair and short beard standing next to a s300 air defense system in belgrade while building is exploding in the background, lusijo in santa clause costume, amateur low resolution photo, shot on a mobile phone, lusijo looking at the camera", go_fast: false, extra_lora: "https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor", lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "3:4", output_format: "png", guidance_scale: 3.5, output_quality: 50, prompt_strength: 0.8, extra_lora_scale: 0.5, num_inference_steps: 18 } } ); // 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 popovluka/luka-flux-lora-model using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "popovluka/luka-flux-lora-model:5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938", input={ "seed": 528, "model": "dev", "prompt": "A photo of lusijo as a man with short dark hair and short beard standing next to a s300 air defense system in belgrade while building is exploding in the background, lusijo in santa clause costume, amateur low resolution photo, shot on a mobile phone, lusijo looking at the camera", "go_fast": False, "extra_lora": "https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor", "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "3:4", "output_format": "png", "guidance_scale": 3.5, "output_quality": 50, "prompt_strength": 0.8, "extra_lora_scale": 0.5, "num_inference_steps": 18 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run popovluka/luka-flux-lora-model 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": "popovluka/luka-flux-lora-model:5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938", "input": { "seed": 528, "model": "dev", "prompt": "A photo of lusijo as a man with short dark hair and short beard standing next to a s300 air defense system in belgrade while building is exploding in the background, lusijo in santa clause costume, amateur low resolution photo, shot on a mobile phone, lusijo looking at the camera", "go_fast": false, "extra_lora": "https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor", "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "3:4", "output_format": "png", "guidance_scale": 3.5, "output_quality": 50, "prompt_strength": 0.8, "extra_lora_scale": 0.5, "num_inference_steps": 18 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-08T12:15:12.632310Z", "created_at": "2025-01-08T12:14:45.257000Z", "data_removed": false, "error": null, "id": "wezrwd5g15rme0cm8qbar5s8rg", "input": { "seed": 528, "model": "dev", "prompt": "A photo of lusijo as a man with short dark hair and short beard standing next to a s300 air defense system in belgrade while building is exploding in the background, lusijo in santa clause costume, amateur low resolution photo, shot on a mobile phone, lusijo looking at the camera", "go_fast": false, "extra_lora": "https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor", "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "3:4", "output_format": "png", "guidance_scale": 3.5, "output_quality": 50, "prompt_strength": 0.8, "extra_lora_scale": 0.5, "num_inference_steps": 18 }, "logs": "2025-01-08 12:15:01.452 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-08 12:15:01.452 | 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, 2867.25it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2769.17it/s]\n2025-01-08 12:15:01.562 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=29194582646784\nDownloading weights\n2025-01-08T12:15:01Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpewtjvcu9/weights url=https://replicate.delivery/yhqm/e75n1f6s9LmcEEMFbySFWbfPgJi0C3xS8Wa0XwqnzXeHx4faC/trained_model.tar\n2025-01-08T12:15:03Z | INFO | [ Complete ] dest=/tmp/tmpewtjvcu9/weights size=\"194 MB\" total_elapsed=2.082s url=https://replicate.delivery/yhqm/e75n1f6s9LmcEEMFbySFWbfPgJi0C3xS8Wa0XwqnzXeHx4faC/trained_model.tar\nDownloaded weights in 2.11s\nfree=29194387034112\nDownloading weights\n2025-01-08T12:15:03Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/ef79fa66e979bc9f url=https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor\n2025-01-08T12:15:04Z | INFO | [ Redirect ] redirect_url=https://civitai-delivery-worker-prod.5ac0637cfd0766c97916cefa3764fbdf.r2.cloudflarestorage.com/model/2703479/anotherAmateurLora.8wyO.safetensors?X-Amz-Expires=86400&response-content-disposition=attachment%3B%20filename%3D%22Another_Amateur_Lora.safetensors%22&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=e01358d793ad6966166af8b3064953ad/20250108/us-east-1/s3/aws4_request&X-Amz-Date=20250108T121503Z&X-Amz-SignedHeaders=host&X-Amz-Signature=9cdbf4e172661bdf101627215badc814d0d075f2501da13938c3a576f4438f93 url=https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor\n2025-01-08T12:15:07Z | INFO | [ Complete ] dest=/src/weights-cache/ef79fa66e979bc9f size=\"1.2 GB\" total_elapsed=4.088s url=https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor\nDownloaded weights in 4.16s\n2025-01-08 12:15:07.835 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/22a781654afdec9a\n2025-01-08 12:15:07.914 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-08 12:15:07.914 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-08 12:15:07.914 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 98%|█████████▊| 299/304 [00:00<00:00, 2962.88it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2963.74it/s]\n2025-01-08 12:15:08.017 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s\n2025-01-08 12:15:08.017 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/ef79fa66e979bc9f\n2025-01-08 12:15:08.369 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-08 12:15:08.369 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-08 12:15:08.369 | 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, 2847.88it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2747.49it/s]\n2025-01-08 12:15:08.480 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.46s\nUsing seed: 528\n0it [00:00, ?it/s]\n1it [00:00, 8.51it/s]\n2it [00:00, 6.00it/s]\n3it [00:00, 5.48it/s]\n4it [00:00, 5.27it/s]\n5it [00:00, 5.15it/s]\n6it [00:01, 5.07it/s]\n7it [00:01, 5.03it/s]\n8it [00:01, 4.99it/s]\n9it [00:01, 4.96it/s]\n10it [00:01, 4.95it/s]\n11it [00:02, 4.94it/s]\n12it [00:02, 4.94it/s]\n13it [00:02, 4.93it/s]\n14it [00:02, 4.93it/s]\n15it [00:02, 4.94it/s]\n16it [00:03, 4.94it/s]\n17it [00:03, 4.94it/s]\n18it [00:03, 4.93it/s]\n18it [00:03, 5.05it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 11.179438312, "total_time": 27.37531 }, "output": [ "https://replicate.delivery/xezq/WkU8SH5IbOqZJVzSe6y6gHUbHKyecv7fr2FjljxJguWgyDGoA/out-0.png" ], "started_at": "2025-01-08T12:15:01.452872Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-suwn2h4bz7yt5zz4cm4icgzyuibtko5yz5nkhupone6rm722lfna", "get": "https://api.replicate.com/v1/predictions/wezrwd5g15rme0cm8qbar5s8rg", "cancel": "https://api.replicate.com/v1/predictions/wezrwd5g15rme0cm8qbar5s8rg/cancel" }, "version": "5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938" }
Generated in2025-01-08 12:15:01.452 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-08 12:15:01.452 | 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, 2867.25it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2769.17it/s] 2025-01-08 12:15:01.562 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s free=29194582646784 Downloading weights 2025-01-08T12:15:01Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpewtjvcu9/weights url=https://replicate.delivery/yhqm/e75n1f6s9LmcEEMFbySFWbfPgJi0C3xS8Wa0XwqnzXeHx4faC/trained_model.tar 2025-01-08T12:15:03Z | INFO | [ Complete ] dest=/tmp/tmpewtjvcu9/weights size="194 MB" total_elapsed=2.082s url=https://replicate.delivery/yhqm/e75n1f6s9LmcEEMFbySFWbfPgJi0C3xS8Wa0XwqnzXeHx4faC/trained_model.tar Downloaded weights in 2.11s free=29194387034112 Downloading weights 2025-01-08T12:15:03Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/ef79fa66e979bc9f url=https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor 2025-01-08T12:15:04Z | INFO | [ Redirect ] redirect_url=https://civitai-delivery-worker-prod.5ac0637cfd0766c97916cefa3764fbdf.r2.cloudflarestorage.com/model/2703479/anotherAmateurLora.8wyO.safetensors?X-Amz-Expires=86400&response-content-disposition=attachment%3B%20filename%3D%22Another_Amateur_Lora.safetensors%22&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=e01358d793ad6966166af8b3064953ad/20250108/us-east-1/s3/aws4_request&X-Amz-Date=20250108T121503Z&X-Amz-SignedHeaders=host&X-Amz-Signature=9cdbf4e172661bdf101627215badc814d0d075f2501da13938c3a576f4438f93 url=https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor 2025-01-08T12:15:07Z | INFO | [ Complete ] dest=/src/weights-cache/ef79fa66e979bc9f size="1.2 GB" total_elapsed=4.088s url=https://civitai.com/api/download/models/890545?type=Model&format=SafeTensor Downloaded weights in 4.16s 2025-01-08 12:15:07.835 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/22a781654afdec9a 2025-01-08 12:15:07.914 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2025-01-08 12:15:07.914 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-08 12:15:07.914 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 98%|█████████▊| 299/304 [00:00<00:00, 2962.88it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2963.74it/s] 2025-01-08 12:15:08.017 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s 2025-01-08 12:15:08.017 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/ef79fa66e979bc9f 2025-01-08 12:15:08.369 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2025-01-08 12:15:08.369 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-08 12:15:08.369 | 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, 2847.88it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2747.49it/s] 2025-01-08 12:15:08.480 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.46s Using seed: 528 0it [00:00, ?it/s] 1it [00:00, 8.51it/s] 2it [00:00, 6.00it/s] 3it [00:00, 5.48it/s] 4it [00:00, 5.27it/s] 5it [00:00, 5.15it/s] 6it [00:01, 5.07it/s] 7it [00:01, 5.03it/s] 8it [00:01, 4.99it/s] 9it [00:01, 4.96it/s] 10it [00:01, 4.95it/s] 11it [00:02, 4.94it/s] 12it [00:02, 4.94it/s] 13it [00:02, 4.93it/s] 14it [00:02, 4.93it/s] 15it [00:02, 4.94it/s] 16it [00:03, 4.94it/s] 17it [00:03, 4.94it/s] 18it [00:03, 4.93it/s] 18it [00:03, 5.05it/s] Total safe images: 1 out of 1
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