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README.md
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---
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license: apache-2.0
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---
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license: apache-2.0
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language:
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- en
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base_model:
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- Wan-AI/Wan2.2-T2V-A14B
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- Wan-AI/Wan2.2-I2V-A14B
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tags:
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- art
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---
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# thaakeno's Wan Video Workflows
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Just a collection of my go-to workflows for Wan 2.2, VACE, and other GGUF video models.
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This is stuff that's been tested and actually works. No extra junk nodes, just what you need to get things done. Mostly focused on GGUF and getting decent speed without a 4090.
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### How To Use
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Download the `.json` file you want and just drag it onto your ComfyUI canvas.
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If you get red errors about missing nodes, use the ComfyUI Manager to install them. It's pretty good about finding what's missing.
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You'll obviously need the models, LoRAs, and VAEs too. The filenames are in the loader nodes, so just match them up with what you have.
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### Required Custom Nodes
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You'll need these installed for most of these to work.
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* `ComfyUI-WanVideoWrapper` (Kijai's nodes are the core of most of these)
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* `ComfyUI-VideoHelperSuite` (for all the VHS stuff, combining, loading)
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* `comfyui-kjnodes` (lots of useful utilities and reroutes)
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* A GGUF loader (I use city96's, but others should work)
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### Workflows Included
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**Wan 2.2 - GGUF V2V (2-Pass).json**
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My standard two-pass setup for video-to-video. It uses a high noise model for the first few steps, then switches to a low noise model to refine and add detail. Good balance of quality and keeping the original motion.
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---
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These are just starting points. Tweak the steps, CFG, and LoRA weights to get what you want. Hope it saves you some time.
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---
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license: apache-2.0
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