cjwbw/stable-diffusion-v2-inpainting 🖼️🔢📝 → 🖼️
About
stable-diffusion-v2-inpainting

Example Output
Prompt:
"face of a ginger cat, high resolution, sitting on a park bench"
Output

Performance Metrics
4.19s
Prediction Time
4.22s
Total Time
All Input Parameters
{ "mask": "https://replicate.delivery/pbxt/HszfSoPGhMEvXf9Gf5gA564aMMyuki3TLSlQQmCepokDJy47/mask.png", "image": "https://replicate.delivery/pbxt/HszfS11BnkFTWHKv6sa5kQgrGGcLk0r1ihgUVAZp2bQJ0Yq9/dog.png", "prompt": "face of a ginger cat, high resolution, sitting on a park bench", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": 50 }
Input Parameters
- mask (required)
- Black and white image to use as mask for inpainting over the image provided. Black pixels are inpainted and white pixels are preserved
- seed
- Random seed. Leave blank to randomize the seed
- image (required)
- Inital image to generate variations of. Supproting images size with 512x512
- prompt
- Input prompt
- num_outputs
- Number of images to output. Higher number of outputs may OOM.
- guidance_scale
- Scale for classifier-free guidance
- prompt_strength
- Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
- num_inference_steps
- Number of denoising steps
Output Schema
Output
Example Execution Logs
Using seed: 15524 0%| | 0/51 [00:00<?, ?it/s] 4%|▍ | 2/51 [00:00<00:03, 14.35it/s] 8%|▊ | 4/51 [00:00<00:02, 15.70it/s] 12%|█▏ | 6/51 [00:00<00:02, 16.20it/s] 16%|█▌ | 8/51 [00:00<00:02, 16.51it/s] 20%|█▉ | 10/51 [00:00<00:02, 16.53it/s] 24%|██▎ | 12/51 [00:00<00:02, 16.22it/s] 27%|██▋ | 14/51 [00:00<00:02, 16.36it/s] 31%|███▏ | 16/51 [00:00<00:02, 16.47it/s] 35%|███▌ | 18/51 [00:01<00:02, 16.50it/s] 39%|███▉ | 20/51 [00:01<00:01, 16.54it/s] 43%|████▎ | 22/51 [00:01<00:01, 16.52it/s] 47%|████▋ | 24/51 [00:01<00:01, 16.52it/s] 51%|█████ | 26/51 [00:01<00:01, 16.54it/s] 55%|█████▍ | 28/51 [00:01<00:01, 16.37it/s] 59%|█████▉ | 30/51 [00:01<00:01, 16.47it/s] 63%|██████▎ | 32/51 [00:01<00:01, 16.54it/s] 67%|██████▋ | 34/51 [00:02<00:01, 16.58it/s] 71%|███████ | 36/51 [00:02<00:00, 16.56it/s] 75%|███████▍ | 38/51 [00:02<00:00, 16.54it/s] 78%|███████▊ | 40/51 [00:02<00:00, 16.59it/s] 82%|████████▏ | 42/51 [00:02<00:00, 16.65it/s] 86%|████████▋ | 44/51 [00:02<00:00, 16.65it/s] 90%|█████████ | 46/51 [00:02<00:00, 16.66it/s] 94%|█████████▍| 48/51 [00:02<00:00, 16.68it/s] 98%|█████████▊| 50/51 [00:03<00:00, 16.68it/s] 100%|██████████| 51/51 [00:03<00:00, 16.49it/s]
Version Details
- Version ID
f9bb0632bfdceb83196e85521b9b55895f8ff3d1d3b487fd1973210c0eb30bec
- Version Created
- December 2, 2022