tstramer/cyberpunk-anime-diffusion 🔢❓📝 → 🖼️
About

Example Output
Prompt:
"a photo of muscular beard soldier male in dgs illustration style, strong chest, 8k, photorealistic, award winning, studio lighting"
Output

Performance Metrics
10.42s
Prediction Time
10.45s
Total Time
All Input Parameters
{ "width": 512, "height": 512, "prompt": "a photo of muscular beard soldier male in dgs illustration style, strong chest, 8k, photorealistic, award winning, studio lighting", "scheduler": "DDIM", "num_outputs": 1, "guidance_scale": "8.46", "prompt_strength": 0.8, "num_inference_steps": "149" }
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- width
- Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
- height
- Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
- prompt
- Input prompt
- scheduler
- Choose a scheduler.
- num_outputs
- Number of images to output.
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- Specify things to not see in the output
- 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: 32485 0%| | 0/149 [00:00<?, ?it/s] 1%|▏ | 2/149 [00:00<00:11, 12.55it/s] 3%|▎ | 4/149 [00:00<00:10, 13.95it/s] 4%|▍ | 6/149 [00:00<00:09, 14.31it/s] 5%|▌ | 8/149 [00:00<00:09, 14.61it/s] 7%|▋ | 10/149 [00:00<00:09, 14.71it/s] 8%|▊ | 12/149 [00:00<00:09, 14.78it/s] 9%|▉ | 14/149 [00:00<00:09, 14.76it/s] 11%|█ | 16/149 [00:01<00:08, 14.80it/s] 12%|█▏ | 18/149 [00:01<00:09, 14.46it/s] 13%|█▎ | 20/149 [00:01<00:08, 14.59it/s] 15%|█▍ | 22/149 [00:01<00:08, 14.68it/s] 16%|█▌ | 24/149 [00:01<00:08, 14.86it/s] 17%|█▋ | 26/149 [00:01<00:08, 14.91it/s] 19%|█▉ | 28/149 [00:01<00:08, 14.83it/s] 20%|██ | 30/149 [00:02<00:08, 14.81it/s] 21%|██▏ | 32/149 [00:02<00:07, 14.82it/s] 23%|██▎ | 34/149 [00:02<00:07, 14.85it/s] 24%|██▍ | 36/149 [00:02<00:07, 14.81it/s] 26%|██▌ | 38/149 [00:02<00:07, 14.89it/s] 27%|██▋ | 40/149 [00:02<00:07, 14.97it/s] 28%|██▊ | 42/149 [00:02<00:07, 14.94it/s] 30%|██▉ | 44/149 [00:02<00:07, 14.89it/s] 31%|███ | 46/149 [00:03<00:06, 14.87it/s] 32%|███▏ | 48/149 [00:03<00:06, 14.87it/s] 34%|███▎ | 50/149 [00:03<00:06, 14.80it/s] 35%|███▍ | 52/149 [00:03<00:06, 14.85it/s] 36%|███▌ | 54/149 [00:03<00:06, 14.91it/s] 38%|███▊ | 56/149 [00:03<00:06, 14.91it/s] 39%|███▉ | 58/149 [00:03<00:06, 14.84it/s] 40%|████ | 60/149 [00:04<00:05, 14.89it/s] 42%|████▏ | 62/149 [00:04<00:05, 14.95it/s] 43%|████▎ | 64/149 [00:04<00:05, 14.99it/s] 44%|████▍ | 66/149 [00:04<00:05, 15.05it/s] 46%|████▌ | 68/149 [00:04<00:05, 15.10it/s] 47%|████▋ | 70/149 [00:04<00:05, 15.12it/s] 48%|████▊ | 72/149 [00:04<00:05, 15.13it/s] 50%|████▉ | 74/149 [00:04<00:04, 15.06it/s] 51%|█████ | 76/149 [00:05<00:04, 15.07it/s] 52%|█████▏ | 78/149 [00:05<00:04, 15.07it/s] 54%|█████▎ | 80/149 [00:05<00:04, 15.08it/s] 55%|█████▌ | 82/149 [00:05<00:04, 14.96it/s] 56%|█████▋ | 84/149 [00:05<00:04, 14.91it/s] 58%|█████▊ | 86/149 [00:05<00:04, 14.92it/s] 59%|█████▉ | 88/149 [00:05<00:04, 14.94it/s] 60%|██████ | 90/149 [00:06<00:03, 14.91it/s] 62%|██████▏ | 92/149 [00:06<00:03, 14.92it/s] 63%|██████▎ | 94/149 [00:06<00:03, 14.94it/s] 64%|██████▍ | 96/149 [00:06<00:03, 14.92it/s] 66%|██████▌ | 98/149 [00:06<00:03, 14.94it/s] 67%|██████▋ | 100/149 [00:06<00:03, 14.97it/s] 68%|██████▊ | 102/149 [00:06<00:03, 14.97it/s] 70%|██████▉ | 104/149 [00:06<00:03, 14.97it/s] 71%|███████ | 106/149 [00:07<00:02, 14.84it/s] 72%|███████▏ | 108/149 [00:07<00:02, 14.86it/s] 74%|███████▍ | 110/149 [00:07<00:02, 14.87it/s] 75%|███████▌ | 112/149 [00:07<00:02, 14.83it/s] 77%|███████▋ | 114/149 [00:07<00:02, 14.88it/s] 78%|███████▊ | 116/149 [00:07<00:02, 14.91it/s] 79%|███████▉ | 118/149 [00:07<00:02, 14.95it/s] 81%|████████ | 120/149 [00:08<00:01, 14.94it/s] 82%|████████▏ | 122/149 [00:08<00:01, 14.92it/s] 83%|████████▎ | 124/149 [00:08<00:01, 14.95it/s] 85%|████████▍ | 126/149 [00:08<00:01, 14.95it/s] 86%|████████▌ | 128/149 [00:08<00:01, 14.98it/s] 87%|████████▋ | 130/149 [00:08<00:01, 15.01it/s] 89%|████████▊ | 132/149 [00:08<00:01, 15.03it/s] 90%|████████▉ | 134/149 [00:09<00:00, 15.08it/s] 91%|█████████▏| 136/149 [00:09<00:00, 15.08it/s] 93%|█████████▎| 138/149 [00:09<00:00, 15.14it/s] 94%|█████████▍| 140/149 [00:09<00:00, 15.16it/s] 95%|█████████▌| 142/149 [00:09<00:00, 15.18it/s] 97%|█████████▋| 144/149 [00:09<00:00, 15.19it/s] 98%|█████████▊| 146/149 [00:09<00:00, 15.13it/s] 99%|█████████▉| 148/149 [00:09<00:00, 14.66it/s] 100%|██████████| 149/149 [00:10<00:00, 14.89it/s]
Version Details
- Version ID
c748e4408604eb0af43136d4a8bba9fa2c4c0bbae5180fce603d14e65f5a998e
- Version Created
- January 4, 2023