Instructions to use BiliSakura/MVSplit-DiT-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/MVSplit-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/MVSplit-DiT-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "a red panda climbing a bamboo stalk" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Fix generator determinism: forward generator through scheduler steps and seeded noise
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