<h2 id="everything-in-one-box-no-clutter-no-delays.-supports-low-vram-(6-8gb)!">Everything in one box — no clutter, no delays. Supports Low VRAM (6–8GB)! 💡 </h2>✅ Perfect even for laptops with 6–8 GB of video memory!🧠 Even if you're just getting started — this bundle will make your projects fast, stable, and beautiful. This workflow is designed to make working with Wan easier, faster, and more enjoyable. Instead of cluttered, unnecessary nodes — clean, compact blocks where all the logic is hidden "under the hood". You're left to just create 🎨.💡 Main idea: “The backend stays in the shadows — all the magic happens in your hands.”Support for Low VRAM (only 6–8 GB!) makes this project accessible even on laptops. Built-in optimizations and normalizations allow running pipelines on weak devices without pain or long waits ⏳.⚠️ Important WarningWhen copying nodes into ComfyUI, parameters can sometimes shift (known bugs). 👉 To avoid issues:- Use only unpacked versions, as in this project.- All nodes are separated and thoroughly tested — safely copyable!- Ensure all components are connected in the correct order (especially <code>Wan Setup</code>).<h2 id="node-parameters">Node Parameters</h2>- ?input - optional input- _output - hidden output (often used for debugging)- [input/output] - input/output within a single iteration<h2 id="color-logic-for-nodes">🎨 Color logic for nodes</h2>- Yellow — Useful utilities- Purple — Pipeline settings and configuration- Cyan — Conditioning nodes- Green — Samplers- Red — Coders/decoders (VAE)- Purple-blue — Conditional blocks (branching logic)- Blue — "Everything in one" — powerful compact nodes- Black — Specific to Wan Animate, but essentially the same utilities ✨<h2 id="connected-custom-nodes">🛠️ Connected Custom Nodes</h2>- <a target="_blank" rel="ugc" href="https://github.com/city96/ComfyUI-GGUF">ComfyUI-GGUF</a>- <a target="_blank" rel="ugc" href="https://github.com/orssorbit/ComfyUI-wanBlockswap">ComfyUI-wanBlockswap</a>- <a target="_blank" rel="ugc" href="https://github.com/Zehong-Ma/ComfyUI-MagCache">ComfyUI-MagCache</a>- <a target="_blank" rel="ugc" href="https://github.com/rgthree/rgthree-comfy">rgthree-comfy</a>- <a target="_blank" rel="ugc" href="https://github.com/kijai/ComfyUI-KJNodes">ComfyUI-KJNodes</a>- <a target="_blank" rel="ugc" href="https://github.com/yolain/ComfyUI-Easy-Use">ComfyUI-Easy-Use</a>- <a target="_blank" rel="ugc" href="https://github.com/Fannovel16/comfyui_controlnet_aux">comfyui_controlnet_aux</a>- <a target="_blank" rel="ugc" href="https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite">ComfyUI-VideoHelperSuite</a>- <a target="_blank" rel="ugc" href="https://github.com/Fannovel16/comfyui-Frame-Interpolation">ComfyUI-Frame-Interpolation</a>- <a target="_blank" rel="ugc" href="https://github.com/kijai/ComfyUI-segment-anything-2">ComfyUI-segment-anything-2</a>- <a target="_blank" rel="ugc" href="https://github.com/neverbiasu/ComfyUI-SAM2">ComfyUI-SAM2</a><h2 id="models">📦 Models</h2>1. <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged">Wan_2.2_ComfyUI_Repackaged</a>2. <a target="_blank" rel="ugc" href="https://huggingface.co/calcuis/wan2-gguf">wan2-gguf (Calcuis Repackaged)</a>3. <a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy">WanVideo_comfy (Kijai Repackaged)</a><h2 id="optimization-recommendations">🔍 Optimization Recommendations</h2>Below is a table of parameters that can reduce VRAM consumption or speed up video generation: | Node | Parameter | Impact | Performance | Feature || -------------------- | ---------------- | ------ | --------------- | ----------------------- || Wan Setup-&gt;Load Wan | GGUF | strong | enable | reduces VRAM, speeds up || Wan Setup-&gt;Load Clip | GGUF | medium | enable | reduces VRAM, speeds up || Wan Optimizer | Sage Attention | strong | auto | reduces VRAM, speeds up || Wan Optimizer | FP16 | low | enable | reduces VRAM || Wan Optimizer | MagCache | medium | enable | speeds up || Wan Optimizer | Compile | medium | enable | reduces VRAM, speeds up || Wan Optimizer | Block swap | strong | higher = better | reduces VRAM || Image Normalize | is_scale | strong | enable | reduces VRAM, speeds up || Image Normalize | megapixels | strong | lower = better | reduces VRAM, speeds up || Decode | VAE Tiled Decode | strong | enable | reduces VRAM | Best settings for low VRAM (6–8 GB):- Wan Setup-&gt;Load Wan - GGUF - Q4_K_M- Wan Setup-&gt;Load Clip - GGUF - Q4_K_M- Wan Optimizer - Sage Attention - auto- Wan Optimizer - FP16- Wan Optimizer - Block swap - 40, if working with high-resolution videos or Wan Animate.- Image Normalize - megapixels - 0.21 for Wan 2.2 14B- Decode - VAE Tiled Decode💾 Tip: When RAM is insufficient — set up virtual memory or use Mem Reduct.<h2 id="my-test-configuration">💻 My Test Configuration</h2>- 🎮 GPU: RTX 3060 Laptop (6GB)- 🧠 RAM: 24 GB + 32 GB swap- ⚡ CPU: Intel i5-11300H- 💻 Laptop: Asus TUF Dash F15Runs stably even under these conditions 🏆.<h2 id="license">📜 License</h2>I don't know why it's here, but use at your own risk ¯\_(ツ)_/¯<h2 id="author"> 👤 Author</h2>Created by NeuroContent ✨- <a target="_blank" rel="ugc" href="https://civarchive.com/user/NeuroContent">CivitAI</a> 🧠- <a target="_blank" rel="ugc" href="https://www.instagram.com/neurocontent10/">Instagram</a> 🎨- <a target="_blank" rel="ugc" href="https://pinterest.com/NeuroContent10/">Pinterest</a> 📌- <a target="_blank" rel="ugc" href="https://dalink.to/neurocontent">Donate</a> ☕<h2 id="todo"> TODO</h2>- [ ] Add nodes for T2I- [x] Add clip_vision- [ ] Support S2V- [ ] Support Lucy Edit- [ ] Support Vace Fun- [x] Add EasyCache and LazyCache to Wan Optimizer- [ ] Add support for generating long videos through the Wan Context Windows node<h2 id="changelog"> Changelog</h2><h3 id="1.1">1.1</h3>- Fix for the new version of ComfyUI- Standard and tile-based encode/decode are now combined into two compact nodes- Support for clip_vision has been added. You can now enable/disable clip_vision in setup. A new utility node for optional use of clip_vision has been added. It is now connected to each conditioning node, resulting in additional conditioning nodes.- The reduce_vram parameter has been removed from Optimizer to improve node usage experience- EasyCache and LazyCache optimizers have been added- Fix for the negative parameter in Wan Full Setup

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