Instructions to use jude1903/Jun3wan22-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jude1903/Jun3wan22-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jude1903/Jun3wan22-lora") prompt = "A man with short gray hair plays a red electric guitar." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
Upload Jun3wan22_000002250_low_noise.safetensors with huggingface_hub
Browse files
Jun3wan22_000002250_low_noise.safetensors
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