Instructions to use Jaytsh/WAN-POVmissXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jaytsh/WAN-POVmissXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wikeeyang/Magic-Wan-T2IV-V3", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jaytsh/WAN-POVmissXL") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 59b3859c75ecc30fc5e7833d83b864553424c298b7bf51494bc352e95048e76e
- Size of remote file:
- 307 MB
- SHA256:
- 4a5af71e3d95e3db02c327eedf8b973451a36bb211d93ee39739073abaa6de04
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