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TheBaldDudeCo/CineForge-Wan-Models
CineForge-Wan-Models is a image-to-video model from TheBaldDudeCo. Use it for the image-to-video task on the model card, and read the license before you ship it in a product. It is set up for diffusers. The card lists the license as apache-2.0.
This repository is the model distribution channel for CineForge, a standalone local Windows application for Wan video generation.
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Updated Aug 15, 2026
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From the Hugging Face model README
This repository is the model distribution channel for CineForge, a standalone local Windows application for Wan video generation.
Native generation validated; Desktop 0.5.0 release-candidate pack.
The four core Wan 2.2 I2V A14B scaled-FP8 components are published with provenance, exact byte sizes, and SHA-256 checksums. CineForge's standalone native loader and a real high/low-expert I2V generation were validated on 2026-08-14 without ComfyUI. The repository also includes the pinned scheduler, tokenizer, and architecture configs required by the Desktop loader.
Optional third-party acceleration LoRAs are excluded from the core pack until their independent origin and license are documented.
Wan 2.2 is published by the Wan Team under Apache 2.0. Any repackaged or converted artifact must retain the applicable notices and must be verified independently before redistribution.
| Pack | CineForge | State | Notes |
|---|---|---|---|
| Wan 2.2 I2V A14B scaled-FP8 | 0.5.0 | Release candidate | Native load, two-expert generation, live step telemetry, finite decoded frames, MP4 export, and Desktop installer auto-download flow verified on RTX 4070. Wider hardware validation remains. |
The word supported is reserved for packs that load without ComfyUI, complete deterministic generation, provide live progress telemetry, export a decodable video, and pass a clean-machine installation test.
CineForge source and releases: https://github.com/thebalddudeco/CineForge
The public CineForge Desktop installer automatically downloads this pinned model pack into the user's selected CineForge Library. Users do not browse for individual Wan files manually; setup resumes interrupted transfers and verifies every component by file size and SHA-256 before the pack is accepted.
CineForge is an independent project and is not affiliated with or endorsed by Alibaba, the Wan Team, Hugging Face, or Comfy Org.