SuhaanCoding/Wan2.2-S2V-14B-Diffusers

Wan2.2-S2V-14B (Diffusers layout)

This is Wan-AI/Wan2.2-S2V-14B — a model that animates a picture of a person in sync with a voice recording — repacked into the folder layout that FastVideo loads.

No weights were changed. The video model tensors are byte-identical copies of the official release. The text encoder, VAE, tokenizer and scheduler come from Wan-AI's own Diffusers release of Wan2.1 (the same weights S2V uses), and the wav2vec2 speech encoder is the one bundled inside the official S2V repo.

Made with scripts/checkpoint_conversion/wan_s2v_to_diffusers.py from FastVideo PR #1683.

Verification status

• Checked: all 1260 video-model tensors load into FastVideo's model with the correct names and shapes (the conversion script verifies this automatically and refuses to produce output otherwise).
• Not yet checked: end-to-end video generation on a GPU. If you run it and find problems, please comment on the PR above.

Usage (with FastVideo, once PR #1683 is merged)

from fastvideo import VideoGenerator

gen = VideoGenerator.from_pretrained("SuhaanCoding/Wan2.2-S2V-14B-Diffusers")
gen.generate_video(
    prompt="...",
    image_path="face.jpg",
    audio_path="speech.wav",
    output_path="out.mp4",
    save_video=True,
)