Instructions to use Video-Reason/VBVR-Wan2.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Video-Reason/VBVR-Wan2.2 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("Video-Reason/VBVR-Wan2.2", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
Consider Adding Reasoning‑Thinking AI Video Generator Models, LTX‑2/2.3, MOVA‑720P/360P, Kandinsky 5.0, HunyuanVideo‑1.5, LongCat‑Video
2
#3 opened about 2 months ago
by
aomsan461
Regarding ltx2.3-VBVRlora
❤️ 2
12
#2 opened 2 months ago
by
wange1002