CineForge Wan Models
This repository is the model distribution channel for CineForge, a standalone local Windows application for Wan video generation.
Publication status
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.
Intended pack contents
- Wan 2.2 I2V A14B high-noise expert
- Wan 2.2 I2V A14B low-noise expert
- Wan-compatible UMT5 text encoder
- Wan VAE
- CineForge pack manifest and checksums
- upstream and derivative license/notice files
- reproducible conversion and validation records
Optional third-party acceleration LoRAs are excluded from the core pack until their independent origin and license are documented.
Upstream and provenance
- Wan 2.2 project: https://github.com/Wan-Video/Wan2.2
- Official Wan models: https://huggingface.co/Wan-AI
- Split FP8 source candidates used on the development workstation:
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.
Compatibility
| 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.
Application
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.
Independence notice
CineForge is an independent project and is not affiliated with or endorsed by Alibaba, the Wan Team, Hugging Face, or Comfy Org.
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