Instructions to use thatboymentor/WAN2.2LORASforVVideo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thatboymentor/WAN2.2LORASforVVideo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("thatboymentor/WAN2.2LORASforVVideo") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4aaf0359d4805b62fd95dfb914295c22022fffeae612551316d9f2678f194503
- Size of remote file:
- 2.13 GB
- SHA256:
- 9784fb6f7b9dc3996a7275bd01ed06b79486a18936072482d50700f108c1fd09
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