Instructions to use BiliSakura/JiT-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/JiT-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/JiT-diffusers", torch_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

- Xet hash:
- 1f8533d66fdd342929c398a11b905e56b5992de062e7386d37d67da63b1cf319
- Size of remote file:
- 539 kB
- SHA256:
- 406f8c46e0fc77bc2f612c16e2ffde230f41fcc6e4bfb2e11307b758b19169e7
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