Instructions to use FastVideo/FastWan-QAD-1.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastWan-QAD-1.3B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/FastWan-QAD-1.3B", 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:
- 1379255e630fa869e99169ef465be716e568cecc66acafd6250f53f6a33c748c
- Size of remote file:
- 5.68 GB
- SHA256:
- ae6ceb900909e4654a51293cdb33d3228b4c60e26877206d5f0bf30754673a3e
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