CineForge-Wan-Models / VALIDATION.md
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Add native Wan runtime support files and validation record
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Validation record

Current state

  • Four core files uploaded: passed
  • Remote byte sizes: passed
  • Remote SHA-256 identifiers: passed
  • Native load: passed on NVIDIA GeForce RTX 4070 (12 GB)
  • End-to-end generation: passed without ComfyUI
  • Progress telemetry: passed at both Wan expert steps
  • Output validation: passed; five finite 256x256 frames exported to a decodable MP4
  • Clean-machine install: not passed

The pack is a release candidate. It must still pass the clean-machine installer test before stable designation.

2026-08-14 native smoke test

  • Pipeline: Wan 2.2 I2V A14B high-noise + low-noise experts
  • Runtime: CineForge native PyTorch/Diffusers loader; ComfyUI absent
  • GPU: NVIDIA GeForce RTX 4070, 12 GB VRAM
  • Resolution / frames / steps: 256x256 / 5 / 2 diagnostic steps
  • Scheduler: UniPC flow-prediction scheduler, flow shift 3.0
  • Seed: 42
  • Latents: finite after both expert stages
  • Frames: finite, range 0.0-1.0, standard deviation 0.081485
  • MP4: exported successfully; 19,970 bytes
  • Wall time: 231.1 seconds

Evidence required

  • CineForge commit and model repository commit
  • Windows, NVIDIA driver, GPU, VRAM, RAM, and disk usage
  • input image hash and non-sensitive prompt fixture
  • seed, resolution, frame count, frame rate, and inference settings
  • wall time, peak VRAM, and peak system RAM
  • output video hash and media probe results
  • startup and shutdown logs with secrets and private paths removed