Instructions to use michaelevanssavitar/Physics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use michaelevanssavitar/Physics with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("michaelevanssavitar/Physics", torch_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
Physics: Wan Factorized OPD
This repository packages Wan2.1-T2V-1.3B, the frozen v3 Appearance/Dynamic factorizer, WISA prompt metadata, and the v6.1 corrected-SDE routed OPD training code.
Use revision v6.1.1-balanced-query and follow
physics/OPD_TRAINING_GUIDE.md.
The default OPD launcher starts the student from base Wan. The legacy
step-000400.pt checkpoint is included for explicit ablations only and is not
loaded by default.
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