cjwbw/stable-diffusion 🖼️🔢❓📝 → 🖼️
About
stable-diffusion with negative prompts, more scheduler
Example Output
Prompt:
"Ragdoll cat king wearing a golden crown, intricate, elegant, highly detailed, centered, digital painting, artstation, concept art, smooth, sharp focus, illustration, artgerm, Tomasz Alen Kopera, Peter Mohrbacher, donato giancola, Joseph Christian Leyendecker, WLOP, Boris Vallejo"
Output
Performance Metrics
2.60s
Prediction Time
2.63s
Total Time
All Input Parameters
{
"width": "512",
"height": "512",
"prompt": "Ragdoll cat king wearing a golden crown, intricate, elegant, highly detailed, centered, digital painting, artstation, concept art, smooth, sharp focus, illustration, artgerm, Tomasz Alen Kopera, Peter Mohrbacher, donato giancola, Joseph Christian Leyendecker, WLOP, Boris Vallejo",
"scheduler": "K_EULER_ANCESTRAL",
"num_outputs": 1,
"guidance_scale": 7.5,
"negative_prompt": "yellow color, nose",
"prompt_strength": 0.8,
"num_inference_steps": "30"
}
Input Parameters
- mask
- Black and white image to use as mask for inpainting over init_image. Black pixels are inpainted and white pixels are preserved. Experimental feature, tends to work better with prompt strength of 0.5-0.7
- 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 scheduer
- init_image
- Inital image to generate variations of. Will be resized to the specified width and height
- num_outputs
- Number of images to output. NSFW filter in enabled, so you may get fewer outputs than requested if flagged
- guidance_scale
- Scale for classifier-free guidance
- 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: 7556 0%| | 0/30 [00:00<?, ?it/s] 7%|▋ | 2/30 [00:00<00:02, 13.46it/s] 13%|█▎ | 4/30 [00:00<00:01, 14.22it/s] 20%|██ | 6/30 [00:00<00:01, 14.00it/s] 27%|██▋ | 8/30 [00:00<00:01, 14.31it/s] 33%|███▎ | 10/30 [00:00<00:01, 14.43it/s] 40%|████ | 12/30 [00:00<00:01, 14.61it/s] 47%|████▋ | 14/30 [00:00<00:01, 14.36it/s] 53%|█████▎ | 16/30 [00:01<00:00, 14.49it/s] 60%|██████ | 18/30 [00:01<00:00, 14.32it/s] 67%|██████▋ | 20/30 [00:01<00:00, 14.49it/s] 73%|███████▎ | 22/30 [00:01<00:00, 14.62it/s] 80%|████████ | 24/30 [00:01<00:00, 14.74it/s] 87%|████████▋ | 26/30 [00:01<00:00, 14.74it/s] 93%|█████████▎| 28/30 [00:01<00:00, 14.67it/s] 100%|██████████| 30/30 [00:02<00:00, 14.72it/s] 100%|██████████| 30/30 [00:02<00:00, 14.51it/s]
Version Details
- Version ID
b8f1324c04d97f36ea5b717eb1bd4fd00bc418f072b4bf167172708e7131d1b1- Version Created
- October 7, 2022