Instructions to use obsxrver/wan2.2-i2v-scat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use obsxrver/wan2.2-i2v-scat 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("obsxrver/wan2.2-i2v-scat") 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") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
metadata
license: apache-2.0
base_model:
- Wan-AI/Wan2.2-I2V-A14B
tags:
- not-for-all-audiences
- wan-2.2
- lora
- diffusers
- template:sd-lora
pipeline_tag: image-to-video
library_name: diffusers
Wan2.2-I2V-Scat
Info
The most common issue brought up on my previous version was that it was incompatible with I2V. I made some updates in this version for i2v
I recommend downloading the entire repo, as always.
Download config.json for the demo workflow.
pip install huggingface_hub
hf download obsxrver/wan2.2-i2v-scat --local-dir ./wan2.2-i2v-scat