Instructions to use lightx2v/Wan2.2-Distill-Loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lightx2v/Wan2.2-Distill-Loras with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # 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("lightx2v/Wan2.2-Distill-Loras") prompt = "A man with short gray hair plays a red electric guitar." input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") image = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Diffusion Single File
How to use lightx2v/Wan2.2-Distill-Loras with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
Combination with 1030, or how to make 1217 work.
#17
by Kcouuock - opened
I've tried lots of lightx2v loras HIGH/LOW with SVI Pro without success, there's either no movement, or lots of movement with no prompt following or lots of degradation over clips.
So far 1030 seems to work the best in terms of video quality (~0.8-0.9 CFG) , but there is no pair in the low rank for it, looking for suggestions?
Has anyone been able to make stuff move with the 1217H/L loras and SVI? As soon as stuff starts to move (also CFG <1) it either ignores prompt or loras.
I havent found working examples with the 1217 combo.