Wan2.2 Fun Control Video (GGUF) 4 Steps
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🎮 Wan2.2 14B Fun Control Video - GGUF Workflow with Canny Edge Detection
Take full control of your video generation with this advanced Wan2.2 workflow featuring real-time control video guidance!
✨ Key Features:
• Control Video Integration: Use any video as motion/structure guidance
• Canny Edge Processing: Automatic edge detection for precise control
• Reference Image Support: Maintain character/style consistency
• GGUF Optimized: Memory-efficient Q8_0 quantization
• Dual-Stage Pipeline: High/Low noise models for premium quality
• 4-Step LoRA Speed: Ultra-fast generation with distilled LoRAs
🔧 Technical Specs:
• Model: Wan2.2-Fun-A14B-Control (High/Low Noise)
• Quantization: Q8_0 GGUF format
• Control Method: Canny edge detection
• Resolution: 480x480 (customizable)
• Frames: 81 frames at 16fps
• Processing: Automatic video preprocessing
💡 Use Cases:
• Dance video recreation
• Motion transfer
• Character animation
• Structure-guided generation
• Style transfer with motion control
📋 Requirements:
• Control video (MP4)
• Reference image
• ComfyUI with ControlNet aux nodes
• GGUF models from QuantStack
Transform any video into your creative vision while maintaining perfect motion control!
#Wan22 #ControlNet #GGUF #ComfyUI #VideoControl #AI