lucataco
/
ip-adapter-faceid
(Research only) IP-Adapter-FaceID can generate various style images conditioned on a face with only text prompts
Prediction
lucataco/ip-adapter-faceid:fb81ef96IDbf3ta6dbxbb4wq7wgi26lpif3yStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- photo of a woman in red dress in a garden
- face_image
- num_outputs
- 1
- negative_prompt
- monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people
- num_inference_steps
- 30
- agree_to_research_only
{ "width": 1024, "height": 1024, "prompt": "photo of a woman in red dress in a garden", "face_image": "https://replicate.delivery/pbxt/K5JZyJQ6IXTPmNQtyyDqeSovA7Mab3B5ImlbiZvTuSfYM8T7/ai_girl.png", "num_outputs": 1, "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people", "num_inference_steps": 30, "agree_to_research_only": true }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 lucataco/ip-adapter-faceid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/ip-adapter-faceid:fb81ef963e74776af72e6f380949013533d46dd5c6228a9e586c57db6303d7cd", { input: { width: 1024, height: 1024, prompt: "photo of a woman in red dress in a garden", face_image: "https://replicate.delivery/pbxt/K5JZyJQ6IXTPmNQtyyDqeSovA7Mab3B5ImlbiZvTuSfYM8T7/ai_girl.png", num_outputs: 1, negative_prompt: "monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people", num_inference_steps: 30, agree_to_research_only: true } } ); 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 lucataco/ip-adapter-faceid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/ip-adapter-faceid:fb81ef963e74776af72e6f380949013533d46dd5c6228a9e586c57db6303d7cd", input={ "width": 1024, "height": 1024, "prompt": "photo of a woman in red dress in a garden", "face_image": "https://replicate.delivery/pbxt/K5JZyJQ6IXTPmNQtyyDqeSovA7Mab3B5ImlbiZvTuSfYM8T7/ai_girl.png", "num_outputs": 1, "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people", "num_inference_steps": 30, "agree_to_research_only": True } ) 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 lucataco/ip-adapter-faceid 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": "fb81ef963e74776af72e6f380949013533d46dd5c6228a9e586c57db6303d7cd", "input": { "width": 1024, "height": 1024, "prompt": "photo of a woman in red dress in a garden", "face_image": "https://replicate.delivery/pbxt/K5JZyJQ6IXTPmNQtyyDqeSovA7Mab3B5ImlbiZvTuSfYM8T7/ai_girl.png", "num_outputs": 1, "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people", "num_inference_steps": 30, "agree_to_research_only": true } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-21T01:37:27.562404Z", "created_at": "2023-12-21T01:36:47.560392Z", "data_removed": false, "error": null, "id": "bf3ta6dbxbb4wq7wgi26lpif3y", "input": { "width": 1024, "height": 1024, "prompt": "photo of a woman in red dress in a garden", "face_image": "https://replicate.delivery/pbxt/K5JZyJQ6IXTPmNQtyyDqeSovA7Mab3B5ImlbiZvTuSfYM8T7/ai_girl.png", "num_outputs": 1, "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people", "num_inference_steps": 30, "agree_to_research_only": true }, "logs": "Using seed: 3382561704\nset det-size: (640, 640)\nwarning: det_size is already set in detection model, ignore\n 0%| | 0/30 [00:00<?, ?it/s]\n 3%|▎ | 1/30 [00:00<00:16, 1.72it/s]\n 7%|▋ | 2/30 [00:01<00:16, 1.72it/s]\n 10%|█ | 3/30 [00:01<00:15, 1.72it/s]\n 13%|█▎ | 4/30 [00:02<00:15, 1.72it/s]\n 17%|█▋ | 5/30 [00:02<00:14, 1.72it/s]\n 20%|██ | 6/30 [00:03<00:13, 1.72it/s]\n 23%|██▎ | 7/30 [00:04<00:13, 1.72it/s]\n 27%|██▋ | 8/30 [00:04<00:12, 1.72it/s]\n 30%|███ | 9/30 [00:05<00:12, 1.72it/s]\n 33%|███▎ | 10/30 [00:05<00:11, 1.72it/s]\n 37%|███▋ | 11/30 [00:06<00:11, 1.72it/s]\n 40%|████ | 12/30 [00:06<00:10, 1.72it/s]\n 43%|████▎ | 13/30 [00:07<00:09, 1.72it/s]\n 47%|████▋ | 14/30 [00:08<00:09, 1.72it/s]\n 50%|█████ | 15/30 [00:08<00:08, 1.72it/s]\n 53%|█████▎ | 16/30 [00:09<00:08, 1.72it/s]\n 57%|█████▋ | 17/30 [00:09<00:07, 1.73it/s]\n 60%|██████ | 18/30 [00:10<00:06, 1.72it/s]\n 63%|██████▎ | 19/30 [00:11<00:06, 1.73it/s]\n 67%|██████▋ | 20/30 [00:11<00:05, 1.72it/s]\n 70%|███████ | 21/30 [00:12<00:05, 1.72it/s]\n 73%|███████▎ | 22/30 [00:12<00:04, 1.72it/s]\n 77%|███████▋ | 23/30 [00:13<00:04, 1.72it/s]\n 80%|████████ | 24/30 [00:13<00:03, 1.72it/s]\n 83%|████████▎ | 25/30 [00:14<00:02, 1.72it/s]\n 87%|████████▋ | 26/30 [00:15<00:02, 1.73it/s]\n 90%|█████████ | 27/30 [00:15<00:01, 1.73it/s]\n 93%|█████████▎| 28/30 [00:16<00:01, 1.73it/s]\n 97%|█████████▋| 29/30 [00:16<00:00, 1.73it/s]\n100%|██████████| 30/30 [00:17<00:00, 1.73it/s]\n100%|██████████| 30/30 [00:17<00:00, 1.72it/s]", "metrics": { "predict_time": 39.930607, "total_time": 40.002012 }, "output": [ "https://replicate.delivery/pbxt/sQyz9P4lGF6wINJSLeDow3edbstG3TQen7XX6bW3F3ffYkiQC/out-0.png" ], "started_at": "2023-12-21T01:36:47.631797Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/bf3ta6dbxbb4wq7wgi26lpif3y", "cancel": "https://api.replicate.com/v1/predictions/bf3ta6dbxbb4wq7wgi26lpif3y/cancel" }, "version": "fb81ef963e74776af72e6f380949013533d46dd5c6228a9e586c57db6303d7cd" }Generated inUsing seed: 3382561704 set det-size: (640, 640) warning: det_size is already set in detection model, ignore 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:16, 1.72it/s] 7%|▋ | 2/30 [00:01<00:16, 1.72it/s] 10%|█ | 3/30 [00:01<00:15, 1.72it/s] 13%|█▎ | 4/30 [00:02<00:15, 1.72it/s] 17%|█▋ | 5/30 [00:02<00:14, 1.72it/s] 20%|██ | 6/30 [00:03<00:13, 1.72it/s] 23%|██▎ | 7/30 [00:04<00:13, 1.72it/s] 27%|██▋ | 8/30 [00:04<00:12, 1.72it/s] 30%|███ | 9/30 [00:05<00:12, 1.72it/s] 33%|███▎ | 10/30 [00:05<00:11, 1.72it/s] 37%|███▋ | 11/30 [00:06<00:11, 1.72it/s] 40%|████ | 12/30 [00:06<00:10, 1.72it/s] 43%|████▎ | 13/30 [00:07<00:09, 1.72it/s] 47%|████▋ | 14/30 [00:08<00:09, 1.72it/s] 50%|█████ | 15/30 [00:08<00:08, 1.72it/s] 53%|█████▎ | 16/30 [00:09<00:08, 1.72it/s] 57%|█████▋ | 17/30 [00:09<00:07, 1.73it/s] 60%|██████ | 18/30 [00:10<00:06, 1.72it/s] 63%|██████▎ | 19/30 [00:11<00:06, 1.73it/s] 67%|██████▋ | 20/30 [00:11<00:05, 1.72it/s] 70%|███████ | 21/30 [00:12<00:05, 1.72it/s] 73%|███████▎ | 22/30 [00:12<00:04, 1.72it/s] 77%|███████▋ | 23/30 [00:13<00:04, 1.72it/s] 80%|████████ | 24/30 [00:13<00:03, 1.72it/s] 83%|████████▎ | 25/30 [00:14<00:02, 1.72it/s] 87%|████████▋ | 26/30 [00:15<00:02, 1.73it/s] 90%|█████████ | 27/30 [00:15<00:01, 1.73it/s] 93%|█████████▎| 28/30 [00:16<00:01, 1.73it/s] 97%|█████████▋| 29/30 [00:16<00:00, 1.73it/s] 100%|██████████| 30/30 [00:17<00:00, 1.73it/s] 100%|██████████| 30/30 [00:17<00:00, 1.72it/s]Prediction
lucataco/ip-adapter-faceid:fb81ef96IDyzcljc3bq3iap6xal2q3cpequyStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 2212213399
- width
- 1024
- height
- 1024
- prompt
- photo of a woman in red dress in a garden
- face_image
- num_outputs
- 1
- negative_prompt
- monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people
- num_inference_steps
- 30
- agree_to_research_only
{ "seed": 2212213399, "width": 1024, "height": 1024, "prompt": "photo of a woman in red dress in a garden", "face_image": "https://replicate.delivery/pbxt/K5DSwf3aUzIpS4srbRhNQkESybPovfXwEfjIuDMj3Dz86tDV/demo.png", "num_outputs": 1, "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people", "num_inference_steps": 30, "agree_to_research_only": true }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 lucataco/ip-adapter-faceid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/ip-adapter-faceid:fb81ef963e74776af72e6f380949013533d46dd5c6228a9e586c57db6303d7cd", { input: { seed: 2212213399, width: 1024, height: 1024, prompt: "photo of a woman in red dress in a garden", face_image: "https://replicate.delivery/pbxt/K5DSwf3aUzIpS4srbRhNQkESybPovfXwEfjIuDMj3Dz86tDV/demo.png", num_outputs: 1, negative_prompt: "monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people", num_inference_steps: 30, agree_to_research_only: true } } ); 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 lucataco/ip-adapter-faceid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/ip-adapter-faceid:fb81ef963e74776af72e6f380949013533d46dd5c6228a9e586c57db6303d7cd", input={ "seed": 2212213399, "width": 1024, "height": 1024, "prompt": "photo of a woman in red dress in a garden", "face_image": "https://replicate.delivery/pbxt/K5DSwf3aUzIpS4srbRhNQkESybPovfXwEfjIuDMj3Dz86tDV/demo.png", "num_outputs": 1, "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people", "num_inference_steps": 30, "agree_to_research_only": True } ) 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 lucataco/ip-adapter-faceid 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": "fb81ef963e74776af72e6f380949013533d46dd5c6228a9e586c57db6303d7cd", "input": { "seed": 2212213399, "width": 1024, "height": 1024, "prompt": "photo of a woman in red dress in a garden", "face_image": "https://replicate.delivery/pbxt/K5DSwf3aUzIpS4srbRhNQkESybPovfXwEfjIuDMj3Dz86tDV/demo.png", "num_outputs": 1, "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people", "num_inference_steps": 30, "agree_to_research_only": true } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-20T19:00:27.975310Z", "created_at": "2023-12-20T19:00:08.612807Z", "data_removed": false, "error": null, "id": "yzcljc3bq3iap6xal2q3cpequy", "input": { "seed": 2212213399, "width": 1024, "height": 1024, "prompt": "photo of a woman in red dress in a garden", "face_image": "https://replicate.delivery/pbxt/K5DSwf3aUzIpS4srbRhNQkESybPovfXwEfjIuDMj3Dz86tDV/demo.png", "num_outputs": 1, "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people", "num_inference_steps": 30, "agree_to_research_only": true }, "logs": "Using seed: 2212213399\nset det-size: (640, 640)\nwarning: det_size is already set in detection model, ignore\n 0%| | 0/30 [00:00<?, ?it/s]\n 3%|▎ | 1/30 [00:00<00:16, 1.73it/s]\n 7%|▋ | 2/30 [00:01<00:16, 1.73it/s]\n 10%|█ | 3/30 [00:01<00:15, 1.73it/s]\n 13%|█▎ | 4/30 [00:02<00:15, 1.73it/s]\n 17%|█▋ | 5/30 [00:02<00:14, 1.73it/s]\n 20%|██ | 6/30 [00:03<00:13, 1.72it/s]\n 23%|██▎ | 7/30 [00:04<00:13, 1.72it/s]\n 27%|██▋ | 8/30 [00:04<00:12, 1.72it/s]\n 30%|███ | 9/30 [00:05<00:12, 1.72it/s]\n 33%|███▎ | 10/30 [00:05<00:11, 1.72it/s]\n 37%|███▋ | 11/30 [00:06<00:11, 1.72it/s]\n 40%|████ | 12/30 [00:06<00:10, 1.72it/s]\n 43%|████▎ | 13/30 [00:07<00:09, 1.72it/s]\n 47%|████▋ | 14/30 [00:08<00:09, 1.72it/s]\n 50%|█████ | 15/30 [00:08<00:08, 1.72it/s]\n 53%|█████▎ | 16/30 [00:09<00:08, 1.72it/s]\n 57%|█████▋ | 17/30 [00:09<00:07, 1.72it/s]\n 60%|██████ | 18/30 [00:10<00:06, 1.72it/s]\n 63%|██████▎ | 19/30 [00:11<00:06, 1.72it/s]\n 67%|██████▋ | 20/30 [00:11<00:05, 1.72it/s]\n 70%|███████ | 21/30 [00:12<00:05, 1.72it/s]\n 73%|███████▎ | 22/30 [00:12<00:04, 1.72it/s]\n 77%|███████▋ | 23/30 [00:13<00:04, 1.72it/s]\n 80%|████████ | 24/30 [00:13<00:03, 1.72it/s]\n 83%|████████▎ | 25/30 [00:14<00:02, 1.72it/s]\n 87%|████████▋ | 26/30 [00:15<00:02, 1.72it/s]\n 90%|█████████ | 27/30 [00:15<00:01, 1.72it/s]\n 93%|█████████▎| 28/30 [00:16<00:01, 1.72it/s]\n 97%|█████████▋| 29/30 [00:16<00:00, 1.72it/s]\n100%|██████████| 30/30 [00:17<00:00, 1.72it/s]\n100%|██████████| 30/30 [00:17<00:00, 1.72it/s]", "metrics": { "predict_time": 19.324499, "total_time": 19.362503 }, "output": [ "https://replicate.delivery/pbxt/HAS5ByGkTaIYCprOe0Z0FPSs5zC3o2zYSHIMlO8CONrlXHCJA/out-0.png" ], "started_at": "2023-12-20T19:00:08.650811Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/yzcljc3bq3iap6xal2q3cpequy", "cancel": "https://api.replicate.com/v1/predictions/yzcljc3bq3iap6xal2q3cpequy/cancel" }, "version": "fb81ef963e74776af72e6f380949013533d46dd5c6228a9e586c57db6303d7cd" }Generated inUsing seed: 2212213399 set det-size: (640, 640) warning: det_size is already set in detection model, ignore 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:16, 1.73it/s] 7%|▋ | 2/30 [00:01<00:16, 1.73it/s] 10%|█ | 3/30 [00:01<00:15, 1.73it/s] 13%|█▎ | 4/30 [00:02<00:15, 1.73it/s] 17%|█▋ | 5/30 [00:02<00:14, 1.73it/s] 20%|██ | 6/30 [00:03<00:13, 1.72it/s] 23%|██▎ | 7/30 [00:04<00:13, 1.72it/s] 27%|██▋ | 8/30 [00:04<00:12, 1.72it/s] 30%|███ | 9/30 [00:05<00:12, 1.72it/s] 33%|███▎ | 10/30 [00:05<00:11, 1.72it/s] 37%|███▋ | 11/30 [00:06<00:11, 1.72it/s] 40%|████ | 12/30 [00:06<00:10, 1.72it/s] 43%|████▎ | 13/30 [00:07<00:09, 1.72it/s] 47%|████▋ | 14/30 [00:08<00:09, 1.72it/s] 50%|█████ | 15/30 [00:08<00:08, 1.72it/s] 53%|█████▎ | 16/30 [00:09<00:08, 1.72it/s] 57%|█████▋ | 17/30 [00:09<00:07, 1.72it/s] 60%|██████ | 18/30 [00:10<00:06, 1.72it/s] 63%|██████▎ | 19/30 [00:11<00:06, 1.72it/s] 67%|██████▋ | 20/30 [00:11<00:05, 1.72it/s] 70%|███████ | 21/30 [00:12<00:05, 1.72it/s] 73%|███████▎ | 22/30 [00:12<00:04, 1.72it/s] 77%|███████▋ | 23/30 [00:13<00:04, 1.72it/s] 80%|████████ | 24/30 [00:13<00:03, 1.72it/s] 83%|████████▎ | 25/30 [00:14<00:02, 1.72it/s] 87%|████████▋ | 26/30 [00:15<00:02, 1.72it/s] 90%|█████████ | 27/30 [00:15<00:01, 1.72it/s] 93%|█████████▎| 28/30 [00:16<00:01, 1.72it/s] 97%|█████████▋| 29/30 [00:16<00:00, 1.72it/s] 100%|██████████| 30/30 [00:17<00:00, 1.72it/s] 100%|██████████| 30/30 [00:17<00:00, 1.72it/s]
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