Instructions to use Lnypuuuu/wan2e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lnypuuuu/wan2e with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-2.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Lnypuuuu/wan2e") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
videowan11

- Prompt
- -
Model description
wan2three
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for Lnypuuuu/wan2e
Base model
Qwen/Qwen-Image-2.1