m1guelpf/emoji-diffusion 🖼️🔢❓📝 → 🖼️
About
Emojis on Stable Diffusion via Dreambooth
Example Output
Prompt:
"snowy montain emoji"
Output
Performance Metrics
3.87s
Prediction Time
3.90s
Total Time
All Input Parameters
{
"width": 512,
"height": 512,
"prompt": "snowy montain emoji",
"scheduler": "DDIM",
"num_outputs": 1,
"guidance_scale": 7.5,
"prompt_strength": 0.8,
"num_inference_steps": 50
}
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: 17811 0%| | 0/50 [00:00<?, ?it/s] 4%|▍ | 2/50 [00:00<00:03, 13.60it/s] 8%|▊ | 4/50 [00:00<00:03, 14.33it/s] 12%|█▏ | 6/50 [00:00<00:03, 14.58it/s] 16%|█▌ | 8/50 [00:00<00:02, 14.43it/s] 20%|██ | 10/50 [00:00<00:02, 14.44it/s] 24%|██▍ | 12/50 [00:00<00:02, 14.63it/s] 28%|██▊ | 14/50 [00:00<00:02, 14.76it/s] 32%|███▏ | 16/50 [00:01<00:02, 14.89it/s] 36%|███▌ | 18/50 [00:01<00:02, 14.96it/s] 40%|████ | 20/50 [00:01<00:02, 14.96it/s] 44%|████▍ | 22/50 [00:01<00:01, 14.88it/s] 48%|████▊ | 24/50 [00:01<00:01, 14.80it/s] 52%|█████▏ | 26/50 [00:01<00:01, 14.80it/s] 56%|█████▌ | 28/50 [00:01<00:01, 14.80it/s] 60%|██████ | 30/50 [00:02<00:01, 14.76it/s] 64%|██████▍ | 32/50 [00:02<00:01, 14.80it/s] 68%|██████▊ | 34/50 [00:02<00:01, 14.78it/s] 72%|███████▏ | 36/50 [00:02<00:00, 14.74it/s] 76%|███████▌ | 38/50 [00:02<00:00, 14.58it/s] 80%|████████ | 40/50 [00:02<00:00, 14.61it/s] 84%|████████▍ | 42/50 [00:02<00:00, 14.66it/s] 88%|████████▊ | 44/50 [00:02<00:00, 14.64it/s] 92%|█████████▏| 46/50 [00:03<00:00, 14.71it/s] 96%|█████████▌| 48/50 [00:03<00:00, 14.74it/s] 100%|██████████| 50/50 [00:03<00:00, 14.40it/s] 100%|██████████| 50/50 [00:03<00:00, 14.66it/s]
Version Details
- Version ID
ba30355ce02ca4755d60f7f083e3c0e2593fd3ee687a0dc1fca236deb6046e4d- Version Created
- November 22, 2022