Instructions to use hsfhsa/full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hsfhsa/full with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hsfhsa/full") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Full
- Prompt
- -
Trigger words
You should use cp_carry_pose | leg_sh | ll_pose | lb_pose to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Base model
Wan-AI/Wan2.2-I2V-A14B