linoytsaban
/
flux-yarn-art
Flux lora, use "yarn art style" to trigger image generation
- Public
- 1.1K runs
-
H100
- Paper
Prediction
linoytsaban/flux-yarn-art:1b95fb03IDg5mt6y9ex9rm60chc2daq3aem4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- yoda, yarn art style
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "yoda, yarn art style", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }npm install replicateSet theREPLICATE_API_TOKENenvironment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run linoytsaban/flux-yarn-art using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "linoytsaban/flux-yarn-art:1b95fb03c08d7da6cfc3175fa55d84ca402892ccbc7337bf6ddac12b003fea80", { input: { model: "dev", prompt: "yoda, yarn art style", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); console.log(output);To learn more, take a look at the guide on getting started with Node.js.
pip install replicateSet theREPLICATE_API_TOKENenvironment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the clientimport replicateRun linoytsaban/flux-yarn-art using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "linoytsaban/flux-yarn-art:1b95fb03c08d7da6cfc3175fa55d84ca402892ccbc7337bf6ddac12b003fea80", input={ "model": "dev", "prompt": "yoda, yarn art style", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run linoytsaban/flux-yarn-art 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": "1b95fb03c08d7da6cfc3175fa55d84ca402892ccbc7337bf6ddac12b003fea80", "input": { "model": "dev", "prompt": "yoda, yarn art style", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "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": "2024-08-17T13:51:07.900662Z", "created_at": "2024-08-17T13:50:02.986000Z", "data_removed": false, "error": null, "id": "g5mt6y9ex9rm60chc2daq3aem4", "input": { "model": "dev", "prompt": "yoda, yarn art style", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 22132\nPrompt: yoda, yarn art style\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9811050463232\nDownloading weights\n2024-08-17T13:50:59Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/79afa2527f14292e url=https://replicate.delivery/yhqm/jeKiP64Qx8QQEiJfluDjFXlaUK8fddSyX1OWcXlxXVeOCXONB/trained_model.tar\n2024-08-17T13:51:00Z | INFO | [ Complete ] dest=/src/weights-cache/79afa2527f14292e size=\"9.4 MB\" total_elapsed=0.315s url=https://replicate.delivery/yhqm/jeKiP64Qx8QQEiJfluDjFXlaUK8fddSyX1OWcXlxXVeOCXONB/trained_model.tar\nb''\nDownloaded weights in 0.3399648666381836 seconds\nLoRA weights loaded successfully\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 3.97it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.75it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.37it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.20it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.11it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 4.07it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 4.03it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.01it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.99it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.98it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.98it/s]\n 43%|████▎ | 12/28 [00:02<00:04, 3.98it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.97it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.96it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.96it/s]\n 57%|█████▋ | 16/28 [00:03<00:03, 3.97it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.97it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.97it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.97it/s]\n 71%|███████▏ | 20/28 [00:04<00:02, 3.96it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.97it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.97it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.97it/s]\n 86%|████████▌ | 24/28 [00:05<00:01, 3.97it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.97it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.97it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 3.96it/s]\n100%|██████████| 28/28 [00:06<00:00, 3.97it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.01it/s]", "metrics": { "predict_time": 8.20438016, "total_time": 64.914662 }, "output": [ "https://replicate.delivery/yhqm/0LaVSIaT7yKCERn12sJd1SIHgtzGJbW0ZIcUfgIOP9vl5ypJA/out-0.webp" ], "started_at": "2024-08-17T13:50:59.696282Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/g5mt6y9ex9rm60chc2daq3aem4", "cancel": "https://api.replicate.com/v1/predictions/g5mt6y9ex9rm60chc2daq3aem4/cancel" }, "version": "1b95fb03c08d7da6cfc3175fa55d84ca402892ccbc7337bf6ddac12b003fea80" }Generated inUsing seed: 22132 Prompt: yoda, yarn art style txt2img mode Using dev model Loading LoRA weights Ensuring enough disk space... Free disk space: 9811050463232 Downloading weights 2024-08-17T13:50:59Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/79afa2527f14292e url=https://replicate.delivery/yhqm/jeKiP64Qx8QQEiJfluDjFXlaUK8fddSyX1OWcXlxXVeOCXONB/trained_model.tar 2024-08-17T13:51:00Z | INFO | [ Complete ] dest=/src/weights-cache/79afa2527f14292e size="9.4 MB" total_elapsed=0.315s url=https://replicate.delivery/yhqm/jeKiP64Qx8QQEiJfluDjFXlaUK8fddSyX1OWcXlxXVeOCXONB/trained_model.tar b'' Downloaded weights in 0.3399648666381836 seconds LoRA weights loaded successfully 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 3.97it/s] 7%|▋ | 2/28 [00:00<00:05, 4.75it/s] 11%|█ | 3/28 [00:00<00:05, 4.37it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.20it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.11it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.07it/s] 25%|██▌ | 7/28 [00:01<00:05, 4.03it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.01it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.99it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.98it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.98it/s] 43%|████▎ | 12/28 [00:02<00:04, 3.98it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.97it/s] 50%|█████ | 14/28 [00:03<00:03, 3.96it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.96it/s] 57%|█████▋ | 16/28 [00:03<00:03, 3.97it/s] 61%|██████ | 17/28 [00:04<00:02, 3.97it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.97it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.97it/s] 71%|███████▏ | 20/28 [00:04<00:02, 3.96it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.97it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.97it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.97it/s] 86%|████████▌ | 24/28 [00:05<00:01, 3.97it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.97it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.97it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.96it/s] 100%|██████████| 28/28 [00:06<00:00, 3.97it/s] 100%|██████████| 28/28 [00:06<00:00, 4.01it/s]Prediction
linoytsaban/flux-yarn-art:1b95fb03IDm2a6hz5h3hrm00chc2ds4qpyh0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- cookie monster, yarn art style
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "cookie monster, yarn art style", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }npm install replicateSet theREPLICATE_API_TOKENenvironment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run linoytsaban/flux-yarn-art using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "linoytsaban/flux-yarn-art:1b95fb03c08d7da6cfc3175fa55d84ca402892ccbc7337bf6ddac12b003fea80", { input: { model: "dev", prompt: "cookie monster, yarn art style", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); console.log(output);To learn more, take a look at the guide on getting started with Node.js.
pip install replicateSet theREPLICATE_API_TOKENenvironment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the clientimport replicateRun linoytsaban/flux-yarn-art using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "linoytsaban/flux-yarn-art:1b95fb03c08d7da6cfc3175fa55d84ca402892ccbc7337bf6ddac12b003fea80", input={ "model": "dev", "prompt": "cookie monster, yarn art style", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run linoytsaban/flux-yarn-art 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": "1b95fb03c08d7da6cfc3175fa55d84ca402892ccbc7337bf6ddac12b003fea80", "input": { "model": "dev", "prompt": "cookie monster, yarn art style", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "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": "2024-08-17T13:52:08.660878Z", "created_at": "2024-08-17T13:51:41.852000Z", "data_removed": false, "error": null, "id": "m2a6hz5h3hrm00chc2ds4qpyh0", "input": { "model": "dev", "prompt": "cookie monster, yarn art style", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 17415\nPrompt: cookie monster, yarn art style\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nweights already loaded!\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 4.00it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.76it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.37it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.21it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.12it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 4.07it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 4.04it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.02it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 4.01it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.00it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.99it/s]\n 43%|████▎ | 12/28 [00:02<00:04, 3.99it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.98it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.98it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.98it/s]\n 57%|█████▋ | 16/28 [00:03<00:03, 3.98it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.98it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.97it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.97it/s]\n 71%|███████▏ | 20/28 [00:04<00:02, 3.98it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.98it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.98it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.98it/s]\n 86%|████████▌ | 24/28 [00:05<00:01, 3.98it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.98it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.98it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 3.97it/s]\n100%|██████████| 28/28 [00:06<00:00, 3.97it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.02it/s]", "metrics": { "predict_time": 7.568941062, "total_time": 26.808878 }, "output": [ "https://replicate.delivery/yhqm/UQeCEgl6DC17S6seEMRPyK0rWOIfBBXYiO0zJfvfpypAhucaC/out-0.webp" ], "started_at": "2024-08-17T13:52:01.091937Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/m2a6hz5h3hrm00chc2ds4qpyh0", "cancel": "https://api.replicate.com/v1/predictions/m2a6hz5h3hrm00chc2ds4qpyh0/cancel" }, "version": "1b95fb03c08d7da6cfc3175fa55d84ca402892ccbc7337bf6ddac12b003fea80" }Generated inUsing seed: 17415 Prompt: cookie monster, yarn art style txt2img mode Using dev model Loading LoRA weights weights already loaded! 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 4.00it/s] 7%|▋ | 2/28 [00:00<00:05, 4.76it/s] 11%|█ | 3/28 [00:00<00:05, 4.37it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.21it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.12it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.07it/s] 25%|██▌ | 7/28 [00:01<00:05, 4.04it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.02it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.01it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.00it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.99it/s] 43%|████▎ | 12/28 [00:02<00:04, 3.99it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.98it/s] 50%|█████ | 14/28 [00:03<00:03, 3.98it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.98it/s] 57%|█████▋ | 16/28 [00:03<00:03, 3.98it/s] 61%|██████ | 17/28 [00:04<00:02, 3.98it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.97it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.97it/s] 71%|███████▏ | 20/28 [00:04<00:02, 3.98it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.98it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.98it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.98it/s] 86%|████████▌ | 24/28 [00:05<00:01, 3.98it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.98it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.98it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.97it/s] 100%|██████████| 28/28 [00:06<00:00, 3.97it/s] 100%|██████████| 28/28 [00:06<00:00, 4.02it/s]
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