Instructions to use BoyuanJiang/FitDiT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BoyuanJiang/FitDiT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BoyuanJiang/FitDiT", 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:
- 7c50a0adf5ee7485c4977e4d8982e3e672cc9b81bff47eac724e7cfa94937852
- Size of remote file:
- 10.3 MB
- SHA256:
- c1b5ae40cdc9ccf32a157cc5f150e43812c5bba79cd10b7614ba199407e6d6f6
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