Instructions to use BiliSakura/DiT-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/DiT-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/DiT-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
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 11edc7cf4d7d4df054fe59f68d7a390d75d2fb500193684081de445e4bc02d62
- Size of remote file:
- 491 kB
- SHA256:
- b93d9c85e169b89265f3673d0f5f46ecd448e1c4e16fcedee227cbbd99efb389
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