Wan 2.1 ComfyUI for Visual Storytelling (Installation + Tutorial)

This video covers how to convert a still image into a dynamic sequence for storytelling in comfyui using the WAN 2 video models, as well as how to install them. Workflow Downloads: https://goshnii.gumroad.com/ Eleven Labs: https://try.elevenlabs.io/itm1hcyhi76c Artlist SFX for Creators: https://bit.ly/3TdAqIA (get 2 extra months free) Topaz: https://topazlabs.com/ref/2497/ Watch Next : WAN 2.1 Video to Video using WanFun ControlNet in ComfyUI https://youtu.be/iWdJXbLIdRw ✅ Minimum Specs: 🔹 GPU: NVIDIA RTX 3060 (12GB VRAM) or higher 🔹 RAM: 16GB+ (helps with stability) 🔹 VRAM Usage: You can run lower resolutions (480p, 720p) on GPUs with 8GB VRAM, but you might need optimizations like GGUF models. ✅ Ideal Specs for Smooth Performance: 🔹 GPU: NVIDIA RTX 3090, 4080, 4090 (More VRAM = better results at higher resolutions) 🔹 RAM: 32GB+ 🔹 Storage: SSD (NVMe preferred) for faster loading 🔹 VRAM: 12GB+ recommended for 1080p+ generations (when available) ⚡ Mac Users? M1/M2/M3 Macs can run it using DirectML or Metal Performance Shaders, but performance may vary. If your GPU is struggling, consider optimizing batch sizes, reducing resolution, or using FP8/quantized models. Video Models for WAN 2 (Hugging Face) https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files GGUF Model List: https://huggingface.co/city96/Wan2.1-I2V-14B-480P-gguf/tree/main GGUF Custom node installation Video https://youtu.be/AzeZkosyqp4?si=-D0AVy99JRvW-NKU RunwayML https://app.runwayml.com #comfyui #wan2.1 #wan2.1comfyui #imagetovideo *There are affiliate links here, which means I get rewarded when someone makes a qualifying purchase. You won't pay anything, and it supports this channel.