bytedance/res-adapter 🔢📝❓✓ → ❓
About
Domain Consistent Resolution Adapter for Diffusion Models: generating consistent images with resolutions outside of their trained domain

Example Output
Prompt:
"Female in a fantasy world, Fluid brushwork, Bright colors, Emphasis on light and atmosphere, realism, impressionism, Post-impressionism, light and color, attention to detail, by master of portraiture, by master of realism,,
(realism:1.2) and (naturalism:1.2), (impressionistic:1.2) brushwork, (portraiture:1.2) and (figurative:1.2) focus, (play of light and shadow:1.2), (elegant compositions:1.2) and (balanced:1.2) arrangements, (rich color palette:1.2) and (bold:1.2) use of color, and (masterful technique:1.2) with (attention to detail:1.2),,"
Output
Performance Metrics
29.22s
Prediction Time
29.24s
Total Time
All Input Parameters
{ "seed": 42, "width": 1024, "height": 1024, "prompt": "Female in a fantasy world, Fluid brushwork, Bright colors, Emphasis on light and atmosphere, realism, impressionism, Post-impressionism, light and color, attention to detail, by master of portraiture, by master of realism,,\n(realism:1.2) and (naturalism:1.2), (impressionistic:1.2) brushwork, (portraiture:1.2) and (figurative:1.2) focus, (play of light and shadow:1.2), (elegant compositions:1.2) and (balanced:1.2) arrangements, (rich color palette:1.2) and (bold:1.2) use of color, and (masterful technique:1.2) with (attention to detail:1.2),,", "model_name": "dreamlike-art/dreamlike-diffusion-1.0", "show_baseline": false, "guidance_scale": 7.5, "negative_prompt": "NSFW, poor bad amateur assignment cut out ugly", "resadapter_alpha": 0.7, "num_inference_steps": 25 }
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- width
- Width of output image
- height
- Height of output image
- prompt
- Input prompt
- model_name
- Choose a stable diffusion model.
- show_baseline
- Show baseline without res-adapter for comparison.
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- Specify things to not see in the output
- resadapter_alpha
- Alpha for resadapter
- num_inference_steps
- Number of denoising steps
Output Schema
Example Execution Logs
Using seed: 42 Generating images with res_adapter... Token indices sequence length is longer than the specified maximum sequence length for this model (167 > 77). Running this sequence through the model will result in indexing errors The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['( portraiture : 1. 2 ) and ( figurative : 1. 2 ) focus, ( play of light and shadow : 1. 2 ), ( elegant compositions : 1. 2 ) and ( balanced : 1. 2 ) arrangements, ( rich color palette : 1. 2 ) and ( bold : 1. 2 ) use of color, and ( masterful technique : 1. 2 ) with ( attention to detail : 1. 2 ),,'] 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:26, 1.12s/it] 8%|▊ | 2/25 [00:01<00:15, 1.45it/s] 12%|█▏ | 3/25 [00:02<00:19, 1.13it/s] 16%|█▌ | 4/25 [00:03<00:20, 1.03it/s] 20%|██ | 5/25 [00:04<00:20, 1.03s/it] 24%|██▍ | 6/25 [00:05<00:20, 1.06s/it] 28%|██▊ | 7/25 [00:07<00:19, 1.08s/it] 32%|███▏ | 8/25 [00:08<00:18, 1.09s/it] 36%|███▌ | 9/25 [00:09<00:17, 1.10s/it] 40%|████ | 10/25 [00:10<00:16, 1.10s/it] 44%|████▍ | 11/25 [00:11<00:15, 1.11s/it] 48%|████▊ | 12/25 [00:12<00:14, 1.11s/it] 52%|█████▏ | 13/25 [00:13<00:13, 1.11s/it] 56%|█████▌ | 14/25 [00:14<00:12, 1.11s/it] 60%|██████ | 15/25 [00:16<00:11, 1.12s/it] 64%|██████▍ | 16/25 [00:17<00:10, 1.12s/it] 68%|██████▊ | 17/25 [00:18<00:08, 1.12s/it] 72%|███████▏ | 18/25 [00:19<00:07, 1.12s/it] 76%|███████▌ | 19/25 [00:20<00:06, 1.12s/it] 80%|████████ | 20/25 [00:21<00:05, 1.12s/it] 84%|████████▍ | 21/25 [00:22<00:04, 1.12s/it] 88%|████████▊ | 22/25 [00:23<00:03, 1.12s/it] 92%|█████████▏| 23/25 [00:24<00:02, 1.12s/it] 96%|█████████▌| 24/25 [00:26<00:01, 1.12s/it] 100%|██████████| 25/25 [00:27<00:00, 1.12s/it] 100%|██████████| 25/25 [00:27<00:00, 1.09s/it]
Version Details
- Version ID
ae94f01b3f844c42112078a7b5346d5142bd87a95d8c50bc27cbece8ed267f71
- Version Created
- April 7, 2024