pratos/stable-diffusion-2-1-512 🔢📝❓ → 🖼️
About

Example Output
Prompt:
"A gentleman otter"
Output

Performance Metrics
10.63s
Prediction Time
10.68s
Total Time
All Input Parameters
{ "seed": -1, "prompt": "A gentleman otter", "cfg_scale": 7.5, "img_width": "768", "scheduler": "euler", "img_height": "768", "negative_prompt": "((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))", "num_output_images": 1, "num_inference_steps": 50 }
Input Parameters
- seed
- Seed for the model
- prompt
- Prompt for the model
- cfg_scale
- Scale of the configuration
- img_width
- Height of the output image
- scheduler
- Sampler to use
- img_height
- Height of the output image
- vae_slicing
- Use VAE slicing to allow large batches of images to be generated
- negative_prompt
- Negative prompt for the model. Add things that you'd want to avoid in the image.
- num_output_images
- Number of output images
- num_inference_steps
- Number of inference steps
Output Schema
Output
Example Execution Logs
Using seed 82372 with A gentleman otter Generating images... 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:29, 1.82s/it] 4%|▍ | 2/50 [00:01<00:39, 1.23it/s] 6%|▌ | 3/50 [00:02<00:23, 2.03it/s] 8%|▊ | 4/50 [00:02<00:15, 2.94it/s] 10%|█ | 5/50 [00:02<00:11, 3.89it/s] 12%|█▏ | 6/50 [00:02<00:09, 4.84it/s] 14%|█▍ | 7/50 [00:02<00:07, 5.73it/s] 16%|█▌ | 8/50 [00:02<00:06, 6.51it/s] 18%|█▊ | 9/50 [00:02<00:05, 7.16it/s] 20%|██ | 10/50 [00:02<00:05, 7.68it/s] 22%|██▏ | 11/50 [00:02<00:04, 8.09it/s] 24%|██▍ | 12/50 [00:03<00:04, 8.39it/s] 26%|██▌ | 13/50 [00:03<00:04, 8.62it/s] 28%|██▊ | 14/50 [00:03<00:04, 8.79it/s] 30%|███ | 15/50 [00:03<00:03, 8.91it/s] 32%|███▏ | 16/50 [00:03<00:03, 8.99it/s] 34%|███▍ | 17/50 [00:03<00:03, 9.05it/s] 36%|███▌ | 18/50 [00:03<00:03, 9.09it/s] 38%|███▊ | 19/50 [00:03<00:03, 9.11it/s] 40%|████ | 20/50 [00:03<00:03, 9.12it/s] 42%|████▏ | 21/50 [00:03<00:03, 9.14it/s] 44%|████▍ | 22/50 [00:04<00:03, 9.16it/s] 46%|████▌ | 23/50 [00:04<00:02, 9.16it/s] 48%|████▊ | 24/50 [00:04<00:02, 9.18it/s] 50%|█████ | 25/50 [00:04<00:02, 9.18it/s] 52%|█████▏ | 26/50 [00:04<00:02, 9.18it/s] 54%|█████▍ | 27/50 [00:04<00:02, 9.18it/s] 56%|█████▌ | 28/50 [00:04<00:02, 9.17it/s] 58%|█████▊ | 29/50 [00:04<00:02, 9.16it/s] 60%|██████ | 30/50 [00:04<00:02, 9.17it/s] 62%|██████▏ | 31/50 [00:05<00:02, 9.17it/s] 64%|██████▍ | 32/50 [00:05<00:01, 9.18it/s] 66%|██████▌ | 33/50 [00:05<00:01, 9.18it/s] 68%|██████▊ | 34/50 [00:05<00:01, 9.18it/s] 70%|███████ | 35/50 [00:05<00:01, 9.18it/s] 72%|███████▏ | 36/50 [00:05<00:01, 9.18it/s] 74%|███████▍ | 37/50 [00:05<00:01, 9.08it/s] 76%|███████▌ | 38/50 [00:05<00:01, 9.09it/s] 78%|███████▊ | 39/50 [00:05<00:01, 9.12it/s] 80%|████████ | 40/50 [00:06<00:01, 9.14it/s] 82%|████████▏ | 41/50 [00:06<00:00, 9.15it/s] 84%|████████▍ | 42/50 [00:06<00:00, 9.16it/s] 86%|████████▌ | 43/50 [00:06<00:00, 9.17it/s] 88%|████████▊ | 44/50 [00:06<00:00, 9.18it/s] 90%|█████████ | 45/50 [00:06<00:00, 9.18it/s] 92%|█████████▏| 46/50 [00:06<00:00, 9.18it/s] 94%|█████████▍| 47/50 [00:06<00:00, 9.18it/s] 96%|█████████▌| 48/50 [00:06<00:00, 9.18it/s] 98%|█████████▊| 49/50 [00:07<00:00, 9.19it/s] 100%|██████████| 50/50 [00:07<00:00, 9.19it/s] 100%|██████████| 50/50 [00:07<00:00, 6.98it/s] Images generation done.
Version Details
- Version ID
4ec7e01500986d7755dc7fae5109b6c642da9edef0eca9d7cbfbfff1713f9089
- Version Created
- December 22, 2022