🎬 Wan2.2 14B First-Last Frame to Video - GGUF Optimized Workflow
Transform your images into stunning videos using the powerful Wan2.2 14B model with efficient GGUF quantization! This workflow specializes in creating smooth transitions between start and end frames.
✨ Key Features:
• Memory Efficient: Uses GGUF Q8_0 quantized models for optimal VRAM usage
• Dual-Stage Processing: High noise + Low noise models for superior quality
• 4-Step LoRA Integration: Lightning-fast generation with LightX2V LoRAs
• Flexible Resolution: Default 480x480, easily customizable
• Frame Control: 81 frames at 16fps for smooth motion
🔧 Technical Specs:
• Model: Wan2.2-I2V-A14B (High/Low Noise variants)
• Quantization: Q8_0 GGUF format
• LoRA: 4-step distilled for speed
• Sampler: Euler with simple scheduler
• CFG: Optimized for video generation
📋 Requirements:
• ComfyUI with GGUF support
• Models from QuantStack collection
• LoRAs from Kijai/WanVideo_comfy
Perfect for creating cinematic transitions, morphing effects, and smooth video interpolations!
#Wan22 #GGUF #ComfyUI #VideoGeneration #AI
Description
FAQ
Comments (3)
can i utilize this with rapidwan? i'm using a model that's giving me better speed than the gguf model
Yes, same for me! FP8 may have issues, but I use it with FP16 without any problems.
I don't know why but all the first-last frame workflows seem to make the video brighter towards the end. This makes creating seamless looping videos very difficult. Is there any way to fix it?