datacte/proteus-v0.5 🖼️🔢📝❓✓ → 🖼️
About
ProteusV0.5 is the latest full release built as a sophisticated enhancement over OpenDalleV1.1
Example Output
Prompt:
"1980s anime portrait of a character "
Output
Performance Metrics
11.06s
Prediction Time
11.07s
Total Time
All Input Parameters
{
"width": 1024,
"height": 1024,
"prompt": "1980s anime portrait of a character ",
"scheduler": "DPM++2MSDE",
"num_outputs": 1,
"guidance_scale": 7,
"negative_prompt": "",
"prompt_strength": 0.8,
"num_inference_steps": 50
}
Input Parameters
- mask
- Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
- seed
- Random seed. Leave blank to randomize the seed
- image
- Input image for img2img or inpaint mode
- width
- Width of output image
- height
- Height of output image
- prompt
- Input prompt
- scheduler
- scheduler
- num_outputs
- Number of images to output.
- guidance_scale
- Scale for classifier-free guidance. Recommended 4-6
- negative_prompt
- Negative Input prompt
- prompt_strength
- Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
- num_inference_steps
- Number of denoising steps. 20 to 60 steps for more detail, 20 steps for faster results.
- disable_safety_checker
- Disable safety checker for generated images. This feature is only available through the API. See https://replicate.com/docs/how-does-replicate-work#safety
Output Schema
Output
Example Execution Logs
Using seed: 1638237266 Prompt: 1980s anime portrait of a character txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:07, 6.44it/s] 4%|▍ | 2/50 [00:00<00:08, 5.50it/s] 6%|▌ | 3/50 [00:00<00:08, 5.25it/s] 8%|▊ | 4/50 [00:00<00:08, 5.13it/s] 10%|█ | 5/50 [00:00<00:08, 5.08it/s] 12%|█▏ | 6/50 [00:01<00:08, 5.04it/s] 14%|█▍ | 7/50 [00:01<00:08, 5.01it/s] 16%|█▌ | 8/50 [00:01<00:08, 5.00it/s] 18%|█▊ | 9/50 [00:01<00:08, 4.99it/s] 20%|██ | 10/50 [00:01<00:08, 4.98it/s] 22%|██▏ | 11/50 [00:02<00:07, 4.97it/s] 24%|██▍ | 12/50 [00:02<00:07, 4.97it/s] 26%|██▌ | 13/50 [00:02<00:07, 4.97it/s] 28%|██▊ | 14/50 [00:02<00:07, 4.96it/s] 30%|███ | 15/50 [00:02<00:07, 4.96it/s] 32%|███▏ | 16/50 [00:03<00:06, 4.96it/s] 34%|███▍ | 17/50 [00:03<00:06, 4.96it/s] 36%|███▌ | 18/50 [00:03<00:06, 4.96it/s] 38%|███▊ | 19/50 [00:03<00:06, 4.96it/s] 40%|████ | 20/50 [00:03<00:06, 4.95it/s] 42%|████▏ | 21/50 [00:04<00:05, 4.95it/s] 44%|████▍ | 22/50 [00:04<00:05, 4.95it/s] 46%|████▌ | 23/50 [00:04<00:05, 4.96it/s] 48%|████▊ | 24/50 [00:04<00:05, 4.96it/s] 50%|█████ | 25/50 [00:04<00:05, 4.96it/s] 52%|█████▏ | 26/50 [00:05<00:04, 4.95it/s] 54%|█████▍ | 27/50 [00:05<00:04, 4.95it/s] 56%|█████▌ | 28/50 [00:05<00:04, 4.95it/s] 58%|█████▊ | 29/50 [00:05<00:04, 4.96it/s] 60%|██████ | 30/50 [00:06<00:04, 4.95it/s] 62%|██████▏ | 31/50 [00:06<00:03, 4.95it/s] 64%|██████▍ | 32/50 [00:06<00:03, 4.95it/s] 66%|██████▌ | 33/50 [00:06<00:03, 4.95it/s] 68%|██████▊ | 34/50 [00:06<00:03, 4.95it/s] 70%|███████ | 35/50 [00:07<00:03, 4.95it/s] 72%|███████▏ | 36/50 [00:07<00:02, 4.95it/s] 74%|███████▍ | 37/50 [00:07<00:02, 4.95it/s] 76%|███████▌ | 38/50 [00:07<00:02, 4.95it/s] 78%|███████▊ | 39/50 [00:07<00:02, 4.95it/s] 80%|████████ | 40/50 [00:08<00:02, 4.95it/s] 82%|████████▏ | 41/50 [00:08<00:01, 4.95it/s] 84%|████████▍ | 42/50 [00:08<00:01, 4.95it/s] 86%|████████▌ | 43/50 [00:08<00:01, 4.95it/s] 88%|████████▊ | 44/50 [00:08<00:01, 4.94it/s] 90%|█████████ | 45/50 [00:09<00:01, 4.94it/s] 92%|█████████▏| 46/50 [00:09<00:00, 4.94it/s] 94%|█████████▍| 47/50 [00:09<00:00, 4.94it/s] 96%|█████████▌| 48/50 [00:09<00:00, 4.94it/s] 98%|█████████▊| 49/50 [00:09<00:00, 4.95it/s] 100%|██████████| 50/50 [00:09<00:00, 5.82it/s] 100%|██████████| 50/50 [00:09<00:00, 5.03it/s]
Version Details
- Version ID
f72450d49fa7cb6ebfc940755b8935b5bc309f1a9d10119d5e66ca7cb228c4ca- Version Created
- July 23, 2024