Wan 2.1 Fun Control In ComfyUI - Video2Video With ControlNet Finally For AI Video!
Added 2025-03-28 16:59:53 +0000 UTC
Video : https://youtu.be/YiVkevHuXIU
More In-Depth and Advanced for Patreon Supporters : https://www.patreon.com/posts/125384530
In this video, we dive into the exciting new WAN 2.1 Fun Control and Inpaint models from Alibaba Pal, now natively supported in ComfyUI! Discover how to use these powerful tools to create dynamic AI videos with precise motion control, style transfer, and frame-by-frame enhancements. Whether you're mimicking dance moves from TikTok videos or crafting cinematic scenes with consistent character styles, this tutorial covers everything from setup to advanced workflows. Learn how to leverage ControlNet, DW Pose, and Line Art for seamless video generation, and explore techniques to optimize performance for consumer-grade PCs.
Who is this content suitable for?
This video is perfect for AI video creators, digital artists, and ComfyUI enthusiasts who want to push the boundaries of AI-generated content. It’s also ideal for social media creators looking to produce high-quality, stylized videos with minimal effort.
Why does it matter?
The WAN 2.1 Fun Control models offer:
Precision motion control using ControlNet for lifelike animations.
Consistent style transfer across frames, eliminating flickering and artifacts.
Low-resource efficiency, with 1.3B parameter models for smoother local runs.
Advanced workflows like frame-by-frame inpainting and multi-ControlNet blending.
Alibaba-pai/Wan2.1-Fun-1.3B-Control
https://huggingface.co/alibaba-pai/Wan2.1-Fun-1.3B-Control
Go to
https://huggingface.co/alibaba-pai/Wan2.1-Fun-1.3B-Control/tree/main
Download "diffusion_pytorch_model.safetensors"
Rename it to "alibaba-pai-Wan2.1-Fun-1.3B-Control.safetensors"
Attached the Wan 2.1 Fun Control Video2video workflow easier for low VRam and beginner to get started version.
