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", 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
| from .modeling_jit_transformer_2d import JiTTransformer2DModel, JiTDiffusersModel | |
| from .pipeline_jit import JiTPipeline, JiTPipelineOutput | |
| from .scheduling_jit import JiTScheduler | |
| __all__ = [ | |
| "JiTTransformer2DModel", | |
| "JiTDiffusersModel", | |
| "JiTPipeline", | |
| "JiTPipelineOutput", | |
| "JiTScheduler", | |
| ] | |