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About
Adversarial Diffusion Distillation
Example Output
Prompt:
"A man with hoodie on, illustration"
Output
Performance Metrics
2.71s
Prediction Time
126.84s
Total Time
All Input Parameters
{
"eta": 0,
"steps": 1,
"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.
- use_highres_fix
- Whether you use highres fix or not
Output Schema
Output
Example Execution Logs
DEVICE: cuda DTYPE: torch.float16 Using seed: 59385 Finish setup in 2.47955322265625e-05 secs. [Debug] Prompt: A man with hoodie on, illustration, best quality, high detail, sharp focus 0%| | 0/1 [00:00<?, ?it/s] 100%|██████████| 1/1 [00:00<00:00, 3.11it/s] 100%|██████████| 1/1 [00:00<00:00, 3.11it/s] Finish generation in 1.8207151889801025 secs.
Version Details
- Version ID
93c488b9fbd6bea622d354c8dcce2724c5f67adb92ccf909038042a21c5238a7- Version Created
- November 22, 2024