aramintak / enna-sketch-style
A hand drawn sketch style LoRA
- Public
- 692 runs
-
H100
Prediction
aramintak/enna-sketch-style:d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2IDz5dx1sp0esrm00chk3g8w0ff4rStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A dreamy baker with flour-dusted hair tied in a bandana, wearing an apron and holding a whisk, sketch illustration style
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "A dreamy baker with flour-dusted hair tied in a bandana, wearing an apron and holding a whisk, sketch illustration style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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 aramintak/enna-sketch-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "aramintak/enna-sketch-style:d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2", { input: { model: "dev", prompt: "A dreamy baker with flour-dusted hair tied in a bandana, wearing an apron and holding a whisk, sketch illustration style", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, 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 aramintak/enna-sketch-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "aramintak/enna-sketch-style:d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2", input={ "model": "dev", "prompt": "A dreamy baker with flour-dusted hair tied in a bandana, wearing an apron and holding a whisk, sketch illustration style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run aramintak/enna-sketch-style 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": "aramintak/enna-sketch-style:d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2", "input": { "model": "dev", "prompt": "A dreamy baker with flour-dusted hair tied in a bandana, wearing an apron and holding a whisk, sketch illustration style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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": "2024-08-28T12:06:38.221917Z", "created_at": "2024-08-28T12:05:51.862000Z", "data_removed": false, "error": null, "id": "z5dx1sp0esrm00chk3g8w0ff4r", "input": { "model": "dev", "prompt": "A dreamy baker with flour-dusted hair tied in a bandana, wearing an apron and holding a whisk, sketch illustration style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 42647\nPrompt: A dreamy baker with flour-dusted hair tied in a bandana, wearing an apron and holding a whisk, sketch illustration style\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 7.90s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:26, 1.01it/s]\n 7%|▋ | 2/28 [00:01<00:22, 1.15it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.08it/s]\n 14%|█▍ | 4/28 [00:03<00:22, 1.05it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.03it/s]\n 21%|██▏ | 6/28 [00:05<00:21, 1.02it/s]\n 25%|██▌ | 7/28 [00:06<00:20, 1.01it/s]\n 29%|██▊ | 8/28 [00:07<00:19, 1.01it/s]\n 32%|███▏ | 9/28 [00:08<00:18, 1.01it/s]\n 36%|███▌ | 10/28 [00:09<00:17, 1.01it/s]\n 39%|███▉ | 11/28 [00:10<00:16, 1.00it/s]\n 43%|████▎ | 12/28 [00:11<00:15, 1.00it/s]\n 46%|████▋ | 13/28 [00:12<00:14, 1.00it/s]\n 50%|█████ | 14/28 [00:13<00:13, 1.00it/s]\n 54%|█████▎ | 15/28 [00:14<00:12, 1.00it/s]\n 57%|█████▋ | 16/28 [00:15<00:11, 1.00it/s]\n 61%|██████ | 17/28 [00:16<00:10, 1.00it/s]\n 64%|██████▍ | 18/28 [00:17<00:09, 1.00it/s]\n 68%|██████▊ | 19/28 [00:18<00:08, 1.00it/s]\n 71%|███████▏ | 20/28 [00:19<00:07, 1.00it/s]\n 75%|███████▌ | 21/28 [00:20<00:06, 1.00it/s]\n 79%|███████▊ | 22/28 [00:21<00:05, 1.00it/s]\n 82%|████████▏ | 23/28 [00:22<00:04, 1.00it/s]\n 86%|████████▌ | 24/28 [00:23<00:03, 1.00it/s]\n 89%|████████▉ | 25/28 [00:24<00:02, 1.00it/s]\n 93%|█████████▎| 26/28 [00:25<00:01, 1.00it/s]\n 96%|█████████▋| 27/28 [00:26<00:00, 1.00it/s]\n100%|██████████| 28/28 [00:27<00:00, 1.00it/s]\n100%|██████████| 28/28 [00:27<00:00, 1.01it/s]", "metrics": { "predict_time": 37.143388042, "total_time": 46.359917 }, "output": [ "https://replicate.delivery/yhqm/jUPqlVK9FqppE96v64vNnGGf0glLsebUSQeOft11RUv3MxcNB/out-0.webp", "https://replicate.delivery/yhqm/U9s9evtAhxW2OaOrsYpbKUXf6EiNO3WBI8eOCwoUGIHdmYumA/out-1.webp", "https://replicate.delivery/yhqm/0Fp50BEKmeSiC6oepBTjaFkU8fWYSUcyfLw5NDZbdam6MxcNB/out-2.webp", "https://replicate.delivery/yhqm/TCpaYLn5iy4rDlwwuVutZIId5tuiNNoWsMp6ojnEvnkzEz1E/out-3.webp" ], "started_at": "2024-08-28T12:06:01.078529Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/z5dx1sp0esrm00chk3g8w0ff4r", "cancel": "https://api.replicate.com/v1/predictions/z5dx1sp0esrm00chk3g8w0ff4r/cancel" }, "version": "d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2" }Generated inUsing seed: 42647 Prompt: A dreamy baker with flour-dusted hair tied in a bandana, wearing an apron and holding a whisk, sketch illustration style txt2img mode Using dev model Loaded LoRAs in 7.90s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:26, 1.01it/s] 7%|▋ | 2/28 [00:01<00:22, 1.15it/s] 11%|█ | 3/28 [00:02<00:23, 1.08it/s] 14%|█▍ | 4/28 [00:03<00:22, 1.05it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.03it/s] 21%|██▏ | 6/28 [00:05<00:21, 1.02it/s] 25%|██▌ | 7/28 [00:06<00:20, 1.01it/s] 29%|██▊ | 8/28 [00:07<00:19, 1.01it/s] 32%|███▏ | 9/28 [00:08<00:18, 1.01it/s] 36%|███▌ | 10/28 [00:09<00:17, 1.01it/s] 39%|███▉ | 11/28 [00:10<00:16, 1.00it/s] 43%|████▎ | 12/28 [00:11<00:15, 1.00it/s] 46%|████▋ | 13/28 [00:12<00:14, 1.00it/s] 50%|█████ | 14/28 [00:13<00:13, 1.00it/s] 54%|█████▎ | 15/28 [00:14<00:12, 1.00it/s] 57%|█████▋ | 16/28 [00:15<00:11, 1.00it/s] 61%|██████ | 17/28 [00:16<00:10, 1.00it/s] 64%|██████▍ | 18/28 [00:17<00:09, 1.00it/s] 68%|██████▊ | 19/28 [00:18<00:08, 1.00it/s] 71%|███████▏ | 20/28 [00:19<00:07, 1.00it/s] 75%|███████▌ | 21/28 [00:20<00:06, 1.00it/s] 79%|███████▊ | 22/28 [00:21<00:05, 1.00it/s] 82%|████████▏ | 23/28 [00:22<00:04, 1.00it/s] 86%|████████▌ | 24/28 [00:23<00:03, 1.00it/s] 89%|████████▉ | 25/28 [00:24<00:02, 1.00it/s] 93%|█████████▎| 26/28 [00:25<00:01, 1.00it/s] 96%|█████████▋| 27/28 [00:26<00:00, 1.00it/s] 100%|██████████| 28/28 [00:27<00:00, 1.00it/s] 100%|██████████| 28/28 [00:27<00:00, 1.01it/s]Prediction
aramintak/enna-sketch-style:d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2IDrsr2z13s5drm00chk3jact1n08StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- daydreaming student with lavender hair in pigtails, surrounded by floating books and math equations, sketch illustration style
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": " daydreaming student with lavender hair in pigtails, surrounded by floating books and math equations, sketch illustration style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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 aramintak/enna-sketch-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "aramintak/enna-sketch-style:d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2", { input: { model: "dev", prompt: " daydreaming student with lavender hair in pigtails, surrounded by floating books and math equations, sketch illustration style", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, 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 aramintak/enna-sketch-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "aramintak/enna-sketch-style:d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2", input={ "model": "dev", "prompt": " daydreaming student with lavender hair in pigtails, surrounded by floating books and math equations, sketch illustration style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run aramintak/enna-sketch-style 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": "aramintak/enna-sketch-style:d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2", "input": { "model": "dev", "prompt": " daydreaming student with lavender hair in pigtails, surrounded by floating books and math equations, sketch illustration style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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": "2024-08-28T12:10:45.512045Z", "created_at": "2024-08-28T12:09:55.755000Z", "data_removed": false, "error": null, "id": "rsr2z13s5drm00chk3jact1n08", "input": { "model": "dev", "prompt": " daydreaming student with lavender hair in pigtails, surrounded by floating books and math equations, sketch illustration style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 490\nPrompt: daydreaming student with lavender hair in pigtails, surrounded by floating books and math equations, sketch illustration style\ntxt2img mode\nUsing dev model\nfree=9262181154816\nDownloading weights\n2024-08-28T12:09:57Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp9p_v8irn/weights url=https://replicate.delivery/yhqm/6pIXrUqEhppZNJCIbtWrcdtopfZMMY1ndzSkodnQHeVdsLXTA/trained_model.tar\n2024-08-28T12:09:58Z | INFO | [ Complete ] dest=/tmp/tmp9p_v8irn/weights size=\"172 MB\" total_elapsed=1.063s url=https://replicate.delivery/yhqm/6pIXrUqEhppZNJCIbtWrcdtopfZMMY1ndzSkodnQHeVdsLXTA/trained_model.tar\nDownloaded weights in 1.09s\nLoaded LoRAs in 19.04s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:26, 1.01it/s]\n 7%|▋ | 2/28 [00:01<00:22, 1.15it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.08it/s]\n 14%|█▍ | 4/28 [00:03<00:22, 1.05it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.03it/s]\n 21%|██▏ | 6/28 [00:05<00:21, 1.02it/s]\n 25%|██▌ | 7/28 [00:06<00:20, 1.01it/s]\n 29%|██▊ | 8/28 [00:07<00:19, 1.01it/s]\n 32%|███▏ | 9/28 [00:08<00:18, 1.01it/s]\n 36%|███▌ | 10/28 [00:09<00:17, 1.00it/s]\n 39%|███▉ | 11/28 [00:10<00:16, 1.00it/s]\n 43%|████▎ | 12/28 [00:11<00:15, 1.00it/s]\n 46%|████▋ | 13/28 [00:12<00:14, 1.00it/s]\n 50%|█████ | 14/28 [00:13<00:13, 1.00it/s]\n 54%|█████▎ | 15/28 [00:14<00:13, 1.00s/it]\n 57%|█████▋ | 16/28 [00:15<00:12, 1.00s/it]\n 61%|██████ | 17/28 [00:16<00:11, 1.00s/it]\n 64%|██████▍ | 18/28 [00:17<00:10, 1.00s/it]\n 68%|██████▊ | 19/28 [00:18<00:09, 1.00s/it]\n 71%|███████▏ | 20/28 [00:19<00:08, 1.00s/it]\n 75%|███████▌ | 21/28 [00:20<00:07, 1.00s/it]\n 79%|███████▊ | 22/28 [00:21<00:06, 1.00s/it]\n 82%|████████▏ | 23/28 [00:22<00:05, 1.00s/it]\n 86%|████████▌ | 24/28 [00:23<00:04, 1.00s/it]\n 89%|████████▉ | 25/28 [00:24<00:03, 1.00s/it]\n 93%|█████████▎| 26/28 [00:25<00:02, 1.00s/it]\n 96%|█████████▋| 27/28 [00:26<00:01, 1.00s/it]\n100%|██████████| 28/28 [00:27<00:00, 1.00s/it]\n100%|██████████| 28/28 [00:27<00:00, 1.01it/s]\nPotential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.\nNSFW content detected in image 0\nNSFW content detected in image 2", "metrics": { "predict_time": 48.144039157, "total_time": 49.757045 }, "output": [ "https://replicate.delivery/yhqm/IyfjZW34Ofr1I0cc9LSpeNhNlEIyhiGVMCCD2NrKfAkXcxcNB/out-1.webp", "https://replicate.delivery/yhqm/hGT0Wpys54riM1NIZfmH50nAzRfwenZtz3aKgmTMhiJKuYumA/out-3.webp" ], "started_at": "2024-08-28T12:09:57.368006Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/rsr2z13s5drm00chk3jact1n08", "cancel": "https://api.replicate.com/v1/predictions/rsr2z13s5drm00chk3jact1n08/cancel" }, "version": "d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2" }Generated inUsing seed: 490 Prompt: daydreaming student with lavender hair in pigtails, surrounded by floating books and math equations, sketch illustration style txt2img mode Using dev model free=9262181154816 Downloading weights 2024-08-28T12:09:57Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp9p_v8irn/weights url=https://replicate.delivery/yhqm/6pIXrUqEhppZNJCIbtWrcdtopfZMMY1ndzSkodnQHeVdsLXTA/trained_model.tar 2024-08-28T12:09:58Z | INFO | [ Complete ] dest=/tmp/tmp9p_v8irn/weights size="172 MB" total_elapsed=1.063s url=https://replicate.delivery/yhqm/6pIXrUqEhppZNJCIbtWrcdtopfZMMY1ndzSkodnQHeVdsLXTA/trained_model.tar Downloaded weights in 1.09s Loaded LoRAs in 19.04s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:26, 1.01it/s] 7%|▋ | 2/28 [00:01<00:22, 1.15it/s] 11%|█ | 3/28 [00:02<00:23, 1.08it/s] 14%|█▍ | 4/28 [00:03<00:22, 1.05it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.03it/s] 21%|██▏ | 6/28 [00:05<00:21, 1.02it/s] 25%|██▌ | 7/28 [00:06<00:20, 1.01it/s] 29%|██▊ | 8/28 [00:07<00:19, 1.01it/s] 32%|███▏ | 9/28 [00:08<00:18, 1.01it/s] 36%|███▌ | 10/28 [00:09<00:17, 1.00it/s] 39%|███▉ | 11/28 [00:10<00:16, 1.00it/s] 43%|████▎ | 12/28 [00:11<00:15, 1.00it/s] 46%|████▋ | 13/28 [00:12<00:14, 1.00it/s] 50%|█████ | 14/28 [00:13<00:13, 1.00it/s] 54%|█████▎ | 15/28 [00:14<00:13, 1.00s/it] 57%|█████▋ | 16/28 [00:15<00:12, 1.00s/it] 61%|██████ | 17/28 [00:16<00:11, 1.00s/it] 64%|██████▍ | 18/28 [00:17<00:10, 1.00s/it] 68%|██████▊ | 19/28 [00:18<00:09, 1.00s/it] 71%|███████▏ | 20/28 [00:19<00:08, 1.00s/it] 75%|███████▌ | 21/28 [00:20<00:07, 1.00s/it] 79%|███████▊ | 22/28 [00:21<00:06, 1.00s/it] 82%|████████▏ | 23/28 [00:22<00:05, 1.00s/it] 86%|████████▌ | 24/28 [00:23<00:04, 1.00s/it] 89%|████████▉ | 25/28 [00:24<00:03, 1.00s/it] 93%|█████████▎| 26/28 [00:25<00:02, 1.00s/it] 96%|█████████▋| 27/28 [00:26<00:01, 1.00s/it] 100%|██████████| 28/28 [00:27<00:00, 1.00s/it] 100%|██████████| 28/28 [00:27<00:00, 1.01it/s] Potential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed. NSFW content detected in image 0 NSFW content detected in image 2Prediction
aramintak/enna-sketch-style:d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2IDmr7t2pjnh1rm60chk3es20rzsrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- whimsical artist with rainbow-colored hair, paint-splattered overalls, and a paintbrush tucked behind their ear., sketch illustration style
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": " whimsical artist with rainbow-colored hair, paint-splattered overalls, and a paintbrush tucked behind their ear., sketch illustration style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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 aramintak/enna-sketch-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "aramintak/enna-sketch-style:d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2", { input: { model: "dev", prompt: " whimsical artist with rainbow-colored hair, paint-splattered overalls, and a paintbrush tucked behind their ear., sketch illustration style", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, 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 aramintak/enna-sketch-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "aramintak/enna-sketch-style:d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2", input={ "model": "dev", "prompt": " whimsical artist with rainbow-colored hair, paint-splattered overalls, and a paintbrush tucked behind their ear., sketch illustration style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run aramintak/enna-sketch-style 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": "aramintak/enna-sketch-style:d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2", "input": { "model": "dev", "prompt": " whimsical artist with rainbow-colored hair, paint-splattered overalls, and a paintbrush tucked behind their ear., sketch illustration style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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": "2024-08-28T12:02:55.095486Z", "created_at": "2024-08-28T12:02:07.880000Z", "data_removed": false, "error": null, "id": "mr7t2pjnh1rm60chk3es20rzsr", "input": { "model": "dev", "prompt": " whimsical artist with rainbow-colored hair, paint-splattered overalls, and a paintbrush tucked behind their ear., sketch illustration style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 1359\nPrompt: whimsical artist with rainbow-colored hair, paint-splattered overalls, and a paintbrush tucked behind their ear., sketch illustration style\ntxt2img mode\nUsing dev model\nfree=9867671408640\nDownloading weights\n2024-08-28T12:02:16Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpu2zdf8zz/weights url=https://replicate.delivery/yhqm/6pIXrUqEhppZNJCIbtWrcdtopfZMMY1ndzSkodnQHeVdsLXTA/trained_model.tar\n2024-08-28T12:02:18Z | INFO | [ Complete ] dest=/tmp/tmpu2zdf8zz/weights size=\"172 MB\" total_elapsed=1.858s url=https://replicate.delivery/yhqm/6pIXrUqEhppZNJCIbtWrcdtopfZMMY1ndzSkodnQHeVdsLXTA/trained_model.tar\nDownloaded weights in 1.89s\nLoaded LoRAs in 9.91s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:26, 1.00it/s]\n 7%|▋ | 2/28 [00:01<00:22, 1.14it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.07it/s]\n 14%|█▍ | 4/28 [00:03<00:23, 1.04it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.03it/s]\n 21%|██▏ | 6/28 [00:05<00:21, 1.02it/s]\n 25%|██▌ | 7/28 [00:06<00:20, 1.01it/s]\n 29%|██▊ | 8/28 [00:07<00:19, 1.01it/s]\n 32%|███▏ | 9/28 [00:08<00:18, 1.00it/s]\n 36%|███▌ | 10/28 [00:09<00:17, 1.00it/s]\n 39%|███▉ | 11/28 [00:10<00:17, 1.00s/it]\n 43%|████▎ | 12/28 [00:11<00:16, 1.00s/it]\n 46%|████▋ | 13/28 [00:12<00:15, 1.00s/it]\n 50%|█████ | 14/28 [00:13<00:14, 1.00s/it]\n 54%|█████▎ | 15/28 [00:14<00:13, 1.00s/it]\n 57%|█████▋ | 16/28 [00:15<00:12, 1.01s/it]\n 61%|██████ | 17/28 [00:16<00:11, 1.01s/it]\n 64%|██████▍ | 18/28 [00:17<00:10, 1.00s/it]\n 68%|██████▊ | 19/28 [00:18<00:09, 1.00s/it]\n 71%|███████▏ | 20/28 [00:19<00:08, 1.01s/it]\n 75%|███████▌ | 21/28 [00:20<00:07, 1.00s/it]\n 79%|███████▊ | 22/28 [00:21<00:06, 1.00s/it]\n 82%|████████▏ | 23/28 [00:22<00:05, 1.00s/it]\n 86%|████████▌ | 24/28 [00:23<00:04, 1.00s/it]\n 89%|████████▉ | 25/28 [00:24<00:03, 1.00s/it]\n 93%|█████████▎| 26/28 [00:25<00:02, 1.00s/it]\n 96%|█████████▋| 27/28 [00:26<00:01, 1.00s/it]\n100%|██████████| 28/28 [00:27<00:00, 1.00s/it]\n100%|██████████| 28/28 [00:27<00:00, 1.00it/s]\nPotential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.\nNSFW content detected in image 1\nNSFW content detected in image 2\nNSFW content detected in image 3", "metrics": { "predict_time": 38.938958427, "total_time": 47.215486 }, "output": [ "https://replicate.delivery/yhqm/kyXBuJhCPNKdNdDwPsKr43zVCb4xefg17Gb9EPqwIMWuPMXTA/out-0.webp" ], "started_at": "2024-08-28T12:02:16.156528Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/mr7t2pjnh1rm60chk3es20rzsr", "cancel": "https://api.replicate.com/v1/predictions/mr7t2pjnh1rm60chk3es20rzsr/cancel" }, "version": "d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2" }Generated inUsing seed: 1359 Prompt: whimsical artist with rainbow-colored hair, paint-splattered overalls, and a paintbrush tucked behind their ear., sketch illustration style txt2img mode Using dev model free=9867671408640 Downloading weights 2024-08-28T12:02:16Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpu2zdf8zz/weights url=https://replicate.delivery/yhqm/6pIXrUqEhppZNJCIbtWrcdtopfZMMY1ndzSkodnQHeVdsLXTA/trained_model.tar 2024-08-28T12:02:18Z | INFO | [ Complete ] dest=/tmp/tmpu2zdf8zz/weights size="172 MB" total_elapsed=1.858s url=https://replicate.delivery/yhqm/6pIXrUqEhppZNJCIbtWrcdtopfZMMY1ndzSkodnQHeVdsLXTA/trained_model.tar Downloaded weights in 1.89s Loaded LoRAs in 9.91s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:26, 1.00it/s] 7%|▋ | 2/28 [00:01<00:22, 1.14it/s] 11%|█ | 3/28 [00:02<00:23, 1.07it/s] 14%|█▍ | 4/28 [00:03<00:23, 1.04it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.03it/s] 21%|██▏ | 6/28 [00:05<00:21, 1.02it/s] 25%|██▌ | 7/28 [00:06<00:20, 1.01it/s] 29%|██▊ | 8/28 [00:07<00:19, 1.01it/s] 32%|███▏ | 9/28 [00:08<00:18, 1.00it/s] 36%|███▌ | 10/28 [00:09<00:17, 1.00it/s] 39%|███▉ | 11/28 [00:10<00:17, 1.00s/it] 43%|████▎ | 12/28 [00:11<00:16, 1.00s/it] 46%|████▋ | 13/28 [00:12<00:15, 1.00s/it] 50%|█████ | 14/28 [00:13<00:14, 1.00s/it] 54%|█████▎ | 15/28 [00:14<00:13, 1.00s/it] 57%|█████▋ | 16/28 [00:15<00:12, 1.01s/it] 61%|██████ | 17/28 [00:16<00:11, 1.01s/it] 64%|██████▍ | 18/28 [00:17<00:10, 1.00s/it] 68%|██████▊ | 19/28 [00:18<00:09, 1.00s/it] 71%|███████▏ | 20/28 [00:19<00:08, 1.01s/it] 75%|███████▌ | 21/28 [00:20<00:07, 1.00s/it] 79%|███████▊ | 22/28 [00:21<00:06, 1.00s/it] 82%|████████▏ | 23/28 [00:22<00:05, 1.00s/it] 86%|████████▌ | 24/28 [00:23<00:04, 1.00s/it] 89%|████████▉ | 25/28 [00:24<00:03, 1.00s/it] 93%|█████████▎| 26/28 [00:25<00:02, 1.00s/it] 96%|█████████▋| 27/28 [00:26<00:01, 1.00s/it] 100%|██████████| 28/28 [00:27<00:00, 1.00s/it] 100%|██████████| 28/28 [00:27<00:00, 1.00it/s] Potential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed. NSFW content detected in image 1 NSFW content detected in image 2 NSFW content detected in image 3Prediction
aramintak/enna-sketch-style:d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2ID03v4r363shrma0cmgp0see8nwwStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- blonde art girl, flat 2d cel animated character, style of daria, style of mike judge, 1990s cartoon, sketch illustration style
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "blonde art girl, flat 2d cel animated character, style of daria, style of mike judge, 1990s cartoon, sketch illustration style", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "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 aramintak/enna-sketch-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "aramintak/enna-sketch-style:d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2", { input: { model: "dev", prompt: "blonde art girl, flat 2d cel animated character, style of daria, style of mike judge, 1990s cartoon, sketch illustration style", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, prompt_strength: 0.8, extra_lora_scale: 0.8, 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 aramintak/enna-sketch-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "aramintak/enna-sketch-style:d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2", input={ "model": "dev", "prompt": "blonde art girl, flat 2d cel animated character, style of daria, style of mike judge, 1990s cartoon, sketch illustration style", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run aramintak/enna-sketch-style 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": "aramintak/enna-sketch-style:d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2", "input": { "model": "dev", "prompt": "blonde art girl, flat 2d cel animated character, style of daria, style of mike judge, 1990s cartoon, sketch illustration style", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "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": "2025-01-20T20:58:10.102362Z", "created_at": "2025-01-20T20:57:41.580000Z", "data_removed": false, "error": null, "id": "03v4r363shrma0cmgp0see8nww", "input": { "model": "dev", "prompt": "blonde art girl, flat 2d cel animated character, style of daria, style of mike judge, 1990s cartoon, sketch illustration style", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "2025-01-20 20:57:41.611 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-20 20:57:41.611 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2783.42it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2669.18it/s]\n2025-01-20 20:57:41.725 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=29714675314688\nDownloading weights\n2025-01-20T20:57:41Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpv7r73m6_/weights url=https://replicate.delivery/yhqm/6pIXrUqEhppZNJCIbtWrcdtopfZMMY1ndzSkodnQHeVdsLXTA/trained_model.tar\n2025-01-20T20:57:45Z | INFO | [ Complete ] dest=/tmp/tmpv7r73m6_/weights size=\"172 MB\" total_elapsed=3.943s url=https://replicate.delivery/yhqm/6pIXrUqEhppZNJCIbtWrcdtopfZMMY1ndzSkodnQHeVdsLXTA/trained_model.tar\nDownloaded weights in 3.97s\n2025-01-20 20:57:45.695 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/fc72ce7a30d298c4\n2025-01-20 20:57:45.770 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-20 20:57:45.771 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-20 20:57:45.771 | 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, 2768.83it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2656.75it/s]\n2025-01-20 20:57:45.886 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 4903\n0it [00:00, ?it/s]\n1it [00:00, 8.34it/s]\n2it [00:00, 5.83it/s]\n3it [00:00, 5.33it/s]\n4it [00:00, 5.11it/s]\n5it [00:00, 4.99it/s]\n6it [00:01, 4.90it/s]\n7it [00:01, 4.86it/s]\n8it [00:01, 4.84it/s]\n9it [00:01, 4.84it/s]\n10it [00:01, 4.83it/s]\n11it [00:02, 4.82it/s]\n12it [00:02, 4.82it/s]\n13it [00:02, 4.82it/s]\n14it [00:02, 4.81it/s]\n15it [00:03, 4.81it/s]\n16it [00:03, 4.81it/s]\n17it [00:03, 4.80it/s]\n18it [00:03, 4.80it/s]\n19it [00:03, 4.80it/s]\n20it [00:04, 4.80it/s]\n21it [00:04, 4.80it/s]\n22it [00:04, 4.79it/s]\n23it [00:04, 4.80it/s]\n24it [00:04, 4.80it/s]\n25it [00:05, 4.81it/s]\n26it [00:05, 4.80it/s]\n27it [00:05, 4.80it/s]\n28it [00:05, 4.80it/s]\n28it [00:05, 4.87it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.81it/s]\n2it [00:00, 4.81it/s]\n3it [00:00, 4.80it/s]\n4it [00:00, 4.81it/s]\n5it [00:01, 4.80it/s]\n6it [00:01, 4.80it/s]\n7it [00:01, 4.79it/s]\n8it [00:01, 4.79it/s]\n9it [00:01, 4.79it/s]\n10it [00:02, 4.79it/s]\n11it [00:02, 4.80it/s]\n12it [00:02, 4.80it/s]\n13it [00:02, 4.80it/s]\n14it [00:02, 4.79it/s]\n15it [00:03, 4.78it/s]\n16it [00:03, 4.79it/s]\n17it [00:03, 4.79it/s]\n18it [00:03, 4.79it/s]\n19it [00:03, 4.79it/s]\n20it [00:04, 4.77it/s]\n21it [00:04, 4.78it/s]\n22it [00:04, 4.79it/s]\n23it [00:04, 4.80it/s]\n24it [00:05, 4.80it/s]\n25it [00:05, 4.79it/s]\n26it [00:05, 4.78it/s]\n27it [00:05, 4.78it/s]\n28it [00:05, 4.79it/s]\n28it [00:05, 4.79it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.86it/s]\n2it [00:00, 4.81it/s]\n3it [00:00, 4.79it/s]\n4it [00:00, 4.78it/s]\n5it [00:01, 4.80it/s]\n6it [00:01, 4.80it/s]\n7it [00:01, 4.80it/s]\n8it [00:01, 4.80it/s]\n9it [00:01, 4.80it/s]\n10it [00:02, 4.81it/s]\n11it [00:02, 4.81it/s]\n12it [00:02, 4.81it/s]\n13it [00:02, 4.81it/s]\n14it [00:02, 4.80it/s]\n15it [00:03, 4.81it/s]\n16it [00:03, 4.81it/s]\n17it [00:03, 4.81it/s]\n18it [00:03, 4.82it/s]\n19it [00:03, 4.81it/s]\n20it [00:04, 4.81it/s]\n21it [00:04, 4.81it/s]\n22it [00:04, 4.81it/s]\n23it [00:04, 4.81it/s]\n24it [00:04, 4.81it/s]\n25it [00:05, 4.80it/s]\n26it [00:05, 4.80it/s]\n27it [00:05, 4.80it/s]\n28it [00:05, 4.79it/s]\n28it [00:05, 4.80it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.85it/s]\n2it [00:00, 4.80it/s]\n3it [00:00, 4.77it/s]\n4it [00:00, 4.77it/s]\n5it [00:01, 4.77it/s]\n6it [00:01, 4.76it/s]\n7it [00:01, 4.76it/s]\n8it [00:01, 4.77it/s]\n9it [00:01, 4.76it/s]\n10it [00:02, 4.76it/s]\n11it [00:02, 4.77it/s]\n12it [00:02, 4.77it/s]\n13it [00:02, 4.77it/s]\n14it [00:02, 4.77it/s]\n15it [00:03, 4.77it/s]\n16it [00:03, 4.78it/s]\n17it [00:03, 4.77it/s]\n18it [00:03, 4.77it/s]\n19it [00:03, 4.77it/s]\n20it [00:04, 4.76it/s]\n21it [00:04, 4.76it/s]\n22it [00:04, 4.78it/s]\n23it [00:04, 4.80it/s]\n24it [00:05, 4.80it/s]\n25it [00:05, 4.81it/s]\n26it [00:05, 4.81it/s]\n27it [00:05, 4.80it/s]\n28it [00:05, 4.81it/s]\n28it [00:05, 4.78it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 28.490441675, "total_time": 28.522362 }, "output": [ "https://replicate.delivery/xezq/Z2bFPiFPSYreG6ifjPCBfv6Y8yaJCuivlpkIX6sjislEXNOoA/out-0.webp", "https://replicate.delivery/xezq/gG8Nq52qIN6xCN9JiPfCetRklVDtRsjbVR4vwFJwosWirGHUA/out-1.webp", "https://replicate.delivery/xezq/uWLahizbrSZ8OFvpWkfGRG9u6X7AQRtywOoMSRmTtmNxVjDKA/out-2.webp", "https://replicate.delivery/xezq/rzaizrKe32VcdKypGMbq1hbrzDLfGwWEg56PSpKOmuWirGHUA/out-3.webp" ], "started_at": "2025-01-20T20:57:41.611920Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-5fkqxdpj3xxnofpenor6escuxk3ujogfjvkqeynk7tb5ruocre4q", "get": "https://api.replicate.com/v1/predictions/03v4r363shrma0cmgp0see8nww", "cancel": "https://api.replicate.com/v1/predictions/03v4r363shrma0cmgp0see8nww/cancel" }, "version": "d71246ed8256f5b5edf98b5cd181d0b6a1391f1825a108800fab58fadf6982f2" }Generated in2025-01-20 20:57:41.611 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-20 20:57:41.611 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2783.42it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2669.18it/s] 2025-01-20 20:57:41.725 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s free=29714675314688 Downloading weights 2025-01-20T20:57:41Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpv7r73m6_/weights url=https://replicate.delivery/yhqm/6pIXrUqEhppZNJCIbtWrcdtopfZMMY1ndzSkodnQHeVdsLXTA/trained_model.tar 2025-01-20T20:57:45Z | INFO | [ Complete ] dest=/tmp/tmpv7r73m6_/weights size="172 MB" total_elapsed=3.943s url=https://replicate.delivery/yhqm/6pIXrUqEhppZNJCIbtWrcdtopfZMMY1ndzSkodnQHeVdsLXTA/trained_model.tar Downloaded weights in 3.97s 2025-01-20 20:57:45.695 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/fc72ce7a30d298c4 2025-01-20 20:57:45.770 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2025-01-20 20:57:45.771 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-20 20:57:45.771 | 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, 2768.83it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2656.75it/s] 2025-01-20 20:57:45.886 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s Using seed: 4903 0it [00:00, ?it/s] 1it [00:00, 8.34it/s] 2it [00:00, 5.83it/s] 3it [00:00, 5.33it/s] 4it [00:00, 5.11it/s] 5it [00:00, 4.99it/s] 6it [00:01, 4.90it/s] 7it [00:01, 4.86it/s] 8it [00:01, 4.84it/s] 9it [00:01, 4.84it/s] 10it [00:01, 4.83it/s] 11it [00:02, 4.82it/s] 12it [00:02, 4.82it/s] 13it [00:02, 4.82it/s] 14it [00:02, 4.81it/s] 15it [00:03, 4.81it/s] 16it [00:03, 4.81it/s] 17it [00:03, 4.80it/s] 18it [00:03, 4.80it/s] 19it [00:03, 4.80it/s] 20it [00:04, 4.80it/s] 21it [00:04, 4.80it/s] 22it [00:04, 4.79it/s] 23it [00:04, 4.80it/s] 24it [00:04, 4.80it/s] 25it [00:05, 4.81it/s] 26it [00:05, 4.80it/s] 27it [00:05, 4.80it/s] 28it [00:05, 4.80it/s] 28it [00:05, 4.87it/s] 0it [00:00, ?it/s] 1it [00:00, 4.81it/s] 2it [00:00, 4.81it/s] 3it [00:00, 4.80it/s] 4it [00:00, 4.81it/s] 5it [00:01, 4.80it/s] 6it [00:01, 4.80it/s] 7it [00:01, 4.79it/s] 8it [00:01, 4.79it/s] 9it [00:01, 4.79it/s] 10it [00:02, 4.79it/s] 11it [00:02, 4.80it/s] 12it [00:02, 4.80it/s] 13it [00:02, 4.80it/s] 14it [00:02, 4.79it/s] 15it [00:03, 4.78it/s] 16it [00:03, 4.79it/s] 17it [00:03, 4.79it/s] 18it [00:03, 4.79it/s] 19it [00:03, 4.79it/s] 20it [00:04, 4.77it/s] 21it [00:04, 4.78it/s] 22it [00:04, 4.79it/s] 23it [00:04, 4.80it/s] 24it [00:05, 4.80it/s] 25it [00:05, 4.79it/s] 26it [00:05, 4.78it/s] 27it [00:05, 4.78it/s] 28it [00:05, 4.79it/s] 28it [00:05, 4.79it/s] 0it [00:00, ?it/s] 1it [00:00, 4.86it/s] 2it [00:00, 4.81it/s] 3it [00:00, 4.79it/s] 4it [00:00, 4.78it/s] 5it [00:01, 4.80it/s] 6it [00:01, 4.80it/s] 7it [00:01, 4.80it/s] 8it [00:01, 4.80it/s] 9it [00:01, 4.80it/s] 10it [00:02, 4.81it/s] 11it [00:02, 4.81it/s] 12it [00:02, 4.81it/s] 13it [00:02, 4.81it/s] 14it [00:02, 4.80it/s] 15it [00:03, 4.81it/s] 16it [00:03, 4.81it/s] 17it [00:03, 4.81it/s] 18it [00:03, 4.82it/s] 19it [00:03, 4.81it/s] 20it [00:04, 4.81it/s] 21it [00:04, 4.81it/s] 22it [00:04, 4.81it/s] 23it [00:04, 4.81it/s] 24it [00:04, 4.81it/s] 25it [00:05, 4.80it/s] 26it [00:05, 4.80it/s] 27it [00:05, 4.80it/s] 28it [00:05, 4.79it/s] 28it [00:05, 4.80it/s] 0it [00:00, ?it/s] 1it [00:00, 4.85it/s] 2it [00:00, 4.80it/s] 3it [00:00, 4.77it/s] 4it [00:00, 4.77it/s] 5it [00:01, 4.77it/s] 6it [00:01, 4.76it/s] 7it [00:01, 4.76it/s] 8it [00:01, 4.77it/s] 9it [00:01, 4.76it/s] 10it [00:02, 4.76it/s] 11it [00:02, 4.77it/s] 12it [00:02, 4.77it/s] 13it [00:02, 4.77it/s] 14it [00:02, 4.77it/s] 15it [00:03, 4.77it/s] 16it [00:03, 4.78it/s] 17it [00:03, 4.77it/s] 18it [00:03, 4.77it/s] 19it [00:03, 4.77it/s] 20it [00:04, 4.76it/s] 21it [00:04, 4.76it/s] 22it [00:04, 4.78it/s] 23it [00:04, 4.80it/s] 24it [00:05, 4.80it/s] 25it [00:05, 4.81it/s] 26it [00:05, 4.81it/s] 27it [00:05, 4.80it/s] 28it [00:05, 4.81it/s] 28it [00:05, 4.78it/s] Total safe images: 4 out of 4
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