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
#3
by aomsan461 - opened
Would you consider adding Reasoning & Thinking AI video models such as "LTX‑2/2.3, MOVA‑720P/360P, Kandinsky 5.0 (T2V/I2V, 5s/10s), HunyuanVideo‑1.5, LongCat‑Video," in the future?
Hi, thank you for your interest. We plan to release models trained on LTX-2.3 and Wan2.1 in one or two week.
@aomsan461
Thank you for your interest. In this release, we present VBVR-Wan2.1 (Diffusers format), VBVR-Wan2.1-diffsynth (DiffSynth LoRA format), and VBVR-LTX2.3-diffsynth (DiffSynth LoRA format; Diffusers does not yet support LTX-Video-2.3, so only the DiffSynth LoRA format is released for this model).