lucataco/ip-adapter-faceid 🔢📝🖼️✓ → 🖼️
About
(Research only) IP-Adapter-FaceID can generate various style images conditioned on a face with only text prompts

Example Output
Prompt:
"photo of a woman in red dress in a garden"
Output

Performance Metrics
19.32s
Prediction Time
19.36s
Total Time
All Input Parameters
{ "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 }
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- width
- Width of output image
- height
- Height of output image
- prompt
- Input prompt
- face_image (required)
- Input face image
- num_outputs
- Number of images to output
- negative_prompt
- Input Negative Prompt
- num_inference_steps
- Number of denoising steps
- agree_to_research_only
- You must agree to use this model only for research. It is not for commercial use.
Output Schema
Output
Example Execution Logs
Using 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]
Version Details
- Version ID
fb81ef963e74776af72e6f380949013533d46dd5c6228a9e586c57db6303d7cd
- Version Created
- December 20, 2023