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:
- ffb9168b8c680665f834351cc65b821711d03b8c3887ec8d6c75645c798148ce
- Size of remote file:
- 2.03 MB
- SHA256:
- 8c625d1ea090054b5144fe14caa0bd9cbbdee5d52f0e9c8e9d8b001f70a501bf
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