<h2 id="wan2.1-startendframes-simple-workflow">✨ WAN2.1 — StartEndFrames — Simple Workflow</h2>A clean, all-in-one WAN image-to-video workflow built entirely with the UmeAiRT Toolkit for ComfyUI. Only 12 nodes. No spaghetti wires. Just load your model, write your prompt, and hit generate.<hr /><h3 id="important-nodes-2.0-required">⚠️ IMPORTANT — Nodes 2.0 Required</h3>This workflow is built for the Nodes 2.0 (Vue) interface of ComfyUI. If you don't enable it, the workflow may have display problems.How to activate Nodes 2.0:<ol><li>Open ComfyUI</li><li>Go to Settings (⚙️ icon, bottom-left)</li><li>Find "Use Nodes V2 (Vue)" and toggle it ON</li><li>Refresh the page</li><li>Load the workflow</li></ol>If you prefer the classic interface, check out my Legacy version of this workflow instead (<a target="_blank" rel="ugc" href="https://civarchive.com/models/1309369/wan21img-to-video?modelVersionId=2433294">link</a>).<hr /><h2 id="features">🎯 Features</h2><ul><li>Text-to-video generation</li><li>Automatic download of models in auto version</li><li>Built-in SeedVR2 upscaler — high-quality tiled upscaling (toggleable on/off) Slower than a classic upscaler, but significantly better quality</li><li>Full metadata embedding — your images are saved with all generation parameters, ready for online publishing and remixing</li><li>3 LoRA slots — with individual on/off toggles and strength control and you can connect as many other lora modules to each other for as many LoRA as you want.</li></ul><hr /><h2 id="custom-node-required">📦 Custom Node Required</h2>Only one custom node to install:👉 <a target="_blank" rel="ugc" href="https://gitlab.com/UmeAiRT-Studio/ComfyUI-UmeAiRT-Toolkit">ComfyUI-UmeAiRT-Toolkit</a>Install via ComfyUI Manager (search "UmeAiRT") or use the UmeAiRT Auto-Installer. The Toolkit packages everything internally — upscaler, face detailer, metadata saver. No other custom nodes needed.<hr /><h2 id="files-you-need-(in-manual-version)">📂 Files you need (in manual version)</h2>Recommendation : &gt;24 gb Vram: base or Q8_0 16 gb Vram: Q5_K_S &lt;12 gb Vram: Q4_K_SFor base version VACE Model: <a target="_blank" rel="ugc" href="https://huggingface.co/Kamikaze-88/Wan2.1-VACE-14B-fp8/resolve/main/wan2.1_vace_14B_fp8_e4m3fn.safetensors?download=true">wan2.1_vace_14B_fp8_e4m3fn.safetensors</a> or <a target="_blank" rel="ugc" href="https://huggingface.co/UmeAiRT/ComfyUI-Auto_installer/resolve/main/models/diffusion_models/WAN/wan2.1_vace_1.3B_fp16.safetensors?download=true">wan2.1_vace_1.3B_fp16.safetensors</a> In models/diffusion_modelsCLIP: <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors">umt5_xxl_fp8_e4m3fn_scaled.safetensors</a> in models/clipFor GGUF version VACE Quant Model: <a target="_blank" rel="ugc" href="https://huggingface.co/UmeAiRT/ComfyUI-Auto_installer/tree/main/models/unet/WAN">Wan2.1-VACE-14B-QX_0.gguf</a> In models/diffusion_modelsQuant CLIP: <a target="_blank" rel="ugc" href="https://huggingface.co/UmeAiRT/ComfyUI-Auto_installer/tree/main/models/clip">umt5-xxl-encoder-QX.gguf</a> in models/clipVAE: <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/vae/wan_2.1_vae.safetensors">wan_2.1_vae.safetensors</a> in models/vaeANY upscale model (depreciated):<ul><li>Realistic : <a target="_blank" rel="ugc" href="https://huggingface.co/spaces/Marne/Real-ESRGAN/blob/main/RealESRGAN_x4plus.pth">RealESRGAN_x4plus.pth</a></li><li>Anime : <a target="_blank" rel="ugc" href="https://huggingface.co/spaces/Marne/Real-ESRGAN/blob/main/RealESRGAN_x4plus_anime_6B.pth">RealESRGAN_x4plus_anime_6B.pth</a></li></ul>in models/upscale_models

【WAN2.1】StartEndFrames

Completely redone version with VACE, and the optimizations present in my new workflow

Files with SHA256: 41bf7b6848af91c700c2b3b6287a7f45603de057f6f6a414530dec04a60c649f