suryakantk94/whiteclaw-db 🔢🖼️❓📝✓ → 🖼️
About

Example Output
Prompt:
"a photo of a person sitting with a TOK can in his hands in a football stadium. there is a display of different flavors of can in the bottom right side of the picture."
Output

Performance Metrics
17.24s
Prediction Time
113.16s
Total Time
All Input Parameters
{ "width": 512, "height": 512, "prompt": "a photo of a person sitting with a TOK can in his hands in a football stadium. there is a display of different flavors of can in the bottom right side of the picture.", "scheduler": "DDIM", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": 50, "disable_safety_check": false }
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- image
- A starting image from which to generate variations (aka 'img2img'). If this input is set, the `width` and `height` inputs are ignored and the output will have the same dimensions as the input image.
- 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
- disable_safety_check
- Disable safety check. Use at your own risk!
Output Schema
Output
Example Execution Logs
Using seed: 6789 using txt2img 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:12<10:14, 12.55s/it] 6%|▌ | 3/50 [00:12<02:34, 3.30s/it] 10%|█ | 5/50 [00:12<01:13, 1.63s/it] 14%|█▍ | 7/50 [00:12<00:41, 1.04it/s] 18%|█▊ | 9/50 [00:13<00:25, 1.61it/s] 22%|██▏ | 11/50 [00:13<00:16, 2.36it/s] 26%|██▌ | 13/50 [00:13<00:11, 3.31it/s] 30%|███ | 15/50 [00:13<00:07, 4.48it/s] 34%|███▍ | 17/50 [00:13<00:05, 5.86it/s] 38%|███▊ | 19/50 [00:13<00:04, 7.38it/s] 42%|████▏ | 21/50 [00:13<00:03, 8.98it/s] 46%|████▌ | 23/50 [00:13<00:02, 10.54it/s] 50%|█████ | 25/50 [00:13<00:02, 11.99it/s] 54%|█████▍ | 27/50 [00:14<00:01, 13.24it/s] 58%|█████▊ | 29/50 [00:14<00:01, 14.30it/s] 62%|██████▏ | 31/50 [00:14<00:01, 15.15it/s] 66%|██████▌ | 33/50 [00:14<00:01, 15.80it/s] 70%|███████ | 35/50 [00:14<00:00, 16.28it/s] 74%|███████▍ | 37/50 [00:14<00:00, 16.64it/s] 78%|███████▊ | 39/50 [00:14<00:00, 16.90it/s] 82%|████████▏ | 41/50 [00:14<00:00, 17.09it/s] 86%|████████▌ | 43/50 [00:14<00:00, 17.22it/s] 90%|█████████ | 45/50 [00:15<00:00, 17.30it/s] 94%|█████████▍| 47/50 [00:15<00:00, 17.37it/s] 98%|█████████▊| 49/50 [00:15<00:00, 17.42it/s] 100%|██████████| 50/50 [00:15<00:00, 3.26it/s]
Version Details
- Version ID
d6659251793b795fca3f80006f36005859c73fdc9d1b112a432a120b1b0ad311
- Version Created
- June 28, 2024