Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
SiD-DiT
score-distillation
flow-matching
Instructions to use YGu1998/SiD-adversarial-DiT-SD3.5-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YGu1998/SiD-adversarial-DiT-SD3.5-medium with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("YGu1998/SiD-adversarial-DiT-SD3.5-medium", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- cec40a717abbf1ca90fe171c4c1efaf06cad576aeee6e6d8088a00d17b72c193
- Size of remote file:
- 4.99 GB
- SHA256:
- 8e0e98242fed1de128a73ee6fee174aa30186c66f7d70811c8ebf67d72067f38
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