lucataco/ip_adapter-face 🔢🖼️📝 → 🖼️

▶️ 2.5K runs 📅 Nov 2023 ⚙️ Cog 0.8.5 🔗 GitHub 📄 Paper ⚖️ License
image-consistent-character-generation image-to-image

About

The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate SDv1.5 images with an image prompt

Example Output

Prompt:

"photo of a beautiful girl wearing casual shirt in a garden"

Output

Example output

Performance Metrics

7.79s Prediction Time
7.77s Total Time
All Input Parameters
{
  "seed": 15251,
  "image": "https://replicate.delivery/pbxt/Jqd79M3DQVfYYvYcZYURBMxc0kd3oeM9Z5jiYSUONnHEfhlW/ai_face2.png",
  "prompt": "photo of a beautiful girl wearing casual shirt in a garden",
  "num_outputs": 1,
  "num_inference_steps": 50
}
Input Parameters
seed Type: integer
Random seed. Leave blank to randomize the seed
image Type: string
Input face image
prompt Type: stringDefault: photo of a beautiful girl wearing casual shirt in a garden
Prompt
num_outputs Type: integerDefault: 1Range: 1 - 4
Number of images to output.
num_inference_steps Type: integerDefault: 50Range: 1 - 500
Number of denoising steps
Output Schema

Output

Type: arrayItems Type: stringItems Format: uri

Example Execution Logs
Using seed: 15251
  0%|          | 0/50 [00:00<?, ?it/s]
  6%|▌         | 3/50 [00:00<00:01, 23.79it/s]
 12%|█▏        | 6/50 [00:00<00:01, 23.63it/s]
 18%|█▊        | 9/50 [00:00<00:01, 23.58it/s]
 24%|██▍       | 12/50 [00:00<00:01, 23.56it/s]
 30%|███       | 15/50 [00:00<00:01, 23.52it/s]
 36%|███▌      | 18/50 [00:00<00:01, 23.49it/s]
 42%|████▏     | 21/50 [00:00<00:01, 23.45it/s]
 48%|████▊     | 24/50 [00:01<00:01, 23.44it/s]
 54%|█████▍    | 27/50 [00:01<00:00, 23.41it/s]
 60%|██████    | 30/50 [00:01<00:00, 23.39it/s]
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 72%|███████▏  | 36/50 [00:01<00:00, 23.38it/s]
 78%|███████▊  | 39/50 [00:01<00:00, 23.40it/s]
 84%|████████▍ | 42/50 [00:01<00:00, 23.38it/s]
 90%|█████████ | 45/50 [00:01<00:00, 23.39it/s]
 96%|█████████▌| 48/50 [00:02<00:00, 23.35it/s]
100%|██████████| 50/50 [00:02<00:00, 23.42it/s]
Version Details
Version ID
b6618893d3d0ee4a9b3a1e990a00be6bd6c3b6fddef83e0b68efc525de54580c
Version Created
November 9, 2023
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