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About
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
Example Output
Prompt:
"A man with hoodie on, illustration"
Output
Performance Metrics
2.96s
Prediction Time
215.20s
Total Time
All Input Parameters
{
"eta": 0,
"steps": 4,
"width": 1024,
"height": 1024,
"prompt": "A man with hoodie on, illustration",
"clip_skip": 0,
"num_images": 1,
"guidance_scale": 0
}
Input Parameters
- eta
- Stochastic parameter to control the randomness.
- seed
- Random seed. Leave blank to randomize the seed.
- steps
- Number of denoising steps.
- width
- Width of the output image.
- height
- Height of the output image.
- prompt
- Input prompt, text of what you want to generate.
- clip_skip
- Number of the layers to skip in CLIP.
- num_images
- Number of output images.
- guidance_scale
- Scale for classifier-free guidance.
- negative_prompt
- Input negative prompt, text of what you don't want to generate.
Output Schema
Output
Example Execution Logs
DEVICE: cuda DTYPE: torch.float16 Using seed: 24843 Finish setup in 0.0004892349243164062 secs. [Debug] Prompt: A man with hoodie on, illustration, best quality, high detail, sharp focus 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:01, 2.50it/s] 50%|█████ | 2/4 [00:00<00:00, 4.46it/s] 75%|███████▌ | 3/4 [00:00<00:00, 5.93it/s] 100%|██████████| 4/4 [00:00<00:00, 7.01it/s] 100%|██████████| 4/4 [00:00<00:00, 5.66it/s] Finish generation in 2.17893385887146 secs.
Version Details
- Version ID
5b026f92273c153de127f7e164354d51f748989118443a6fd9a29802bbd85f36- Version Created
- November 22, 2024