wan-flf-video

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Build WAN 2.2 First-Last-Frame video workflows. Native dual hi-lo (required), and WanVideoWrapper VACE approaches

AI & Automation 738 stars 120 forks Updated yesterday MIT

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# WAN 2.2 First-Last-Frame (FLF) Video Workflows ## Overview First-Last-Frame (FLF) video generation takes a start image and an end image and generates a smooth video transition between them. The WAN 2.2 I2V (Image-to-Video) 14B model is good at this. ## CRITICAL: Dual Hi-Lo Architecture (REQUIRED) **WAN 2.2 I2V uses a split-noise architecture.** Unlike WAN 2.1, the 2.2 model was trained with separate HighNoise and LowNoise components that handle different denoising ranges. **You MUST use both models in a two-pass KSamplerAdvanced setup.** Using a single model produces low-quality, broken output. - HighNoise model (pass 1, steps 0→N/2) establishes structure, motion, and composition - LowNoise model (pass 2, steps N/2→N) refines details and keeps fidelity to input frames - Both passes share the same conditioning from `WanFirstLastFrameToVideo` - Pass 1 returns noisy latent → Pass 2 continues from there **NEVER use a single KSampler with only one model for WAN 2.2 I2V.** Two native approaches are available: 1. Native Dual Hi-Lo (Default): `WanFirstLastFrameToVideo` + dual `KSamplerAdvanced` two-pass 2. WanVideoWrapper: `WanVideoVACEStartToEndFrame` + `WanVideoVACEEncode` + `WanVideoSampler` (VACE, caching, context windows) ## Models ### UNET Pairs (Always load BOTH Hi and Lo) Remix NSFW (Recommended, built-in lightning, fp16): | Model | Loader | Notes | |-------|--------|-------| | `Wan2.2_Remix_NSFW_i2v_14b_high_lighting_fp16_v2.1.safetensors` | `UNETLoader` | HighNo...

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Author
artokun
Repository
artokun/comfyui-mcp
Created
6 months ago
Last Updated
yesterday
Language
TypeScript
License
MIT

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