lucataco/shiba-diffusion 🖼️🔢❓📝 → 🖼️
About
Shiba stable diffusion model
Example Output
Prompt:
"a shiba wearing a tuxedo"
Output
Performance Metrics
3.16s
Prediction Time
3.23s
Total Time
All Input Parameters
{
"width": 512,
"height": 512,
"prompt": "a shiba wearing a tuxedo",
"scheduler": "K-LMS",
"num_outputs": 1,
"guidance_scale": 4,
"prompt_strength": 1,
"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. Tends to work better with prompt strength of 0.5-0.7. Consider using https://replicate.com/andreasjansson/stable-diffusion-inpainting instead.
- 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. Use the word "emoji" somewhere in the prompt.
- scheduler
- Choose a scheduler. If you use an init image, PNDM will be used
- init_image
- Initial image to generate variations of. Will be resized to the specified width and height
- num_outputs
- Number of images to output. If the NSFW filter is triggered, you may get fewer outputs than this.
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- The prompt NOT to guide the image generation. Ignored when not using 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: 45642 0%| | 0/30 [00:00<?, ?it/s] 7%|▋ | 2/30 [00:00<00:02, 11.20it/s] 13%|█▎ | 4/30 [00:00<00:02, 11.16it/s] 20%|██ | 6/30 [00:00<00:02, 11.15it/s] 27%|██▋ | 8/30 [00:00<00:01, 11.13it/s] 33%|███▎ | 10/30 [00:00<00:01, 11.00it/s] 40%|████ | 12/30 [00:01<00:01, 10.57it/s] 47%|████▋ | 14/30 [00:01<00:01, 10.29it/s] 53%|█████▎ | 16/30 [00:01<00:01, 10.78it/s] 60%|██████ | 18/30 [00:01<00:01, 10.70it/s] 67%|██████▋ | 20/30 [00:01<00:00, 10.75it/s] 73%|███████▎ | 22/30 [00:02<00:00, 10.95it/s] 80%|████████ | 24/30 [00:02<00:00, 11.03it/s] 87%|████████▋ | 26/30 [00:02<00:00, 11.30it/s] 93%|█████████▎| 28/30 [00:02<00:00, 11.47it/s] 100%|██████████| 30/30 [00:02<00:00, 11.36it/s] 100%|██████████| 30/30 [00:02<00:00, 11.02it/s]
Version Details
- Version ID
849b3b198a022bdaab1c528ac3eac5930852d1c545bf9c4dc8077a9ad7dff0b3- Version Created
- February 24, 2023