Wan2.2 I2V 12GB (60FPS, FAST, HI-RES, LOW VRAM)

WAN 2.2 – I2V Workflow (Optimized for 12GB GPUs)

A fast, clean, and VRAM-efficient Image-to-Video workflow built around WAN 2.2. Fast render times on mid-range GPUs (6 min). I tried to keep this simple and easy to use, while maintaining good results.

• WAN 2.2 Model
  Use either lightweight GGUF models or full .safetensors checkpoints.
  Lightning LoRAs are baked into the .safetensors model, so LoRA use is optional.

• WAN 2.1 VAE
  Reduces VRAM load while maintaining strong color, detail structure, and temporal consistency.

• SageAttention + FP16 Accumulation Patch
  Automatically applied for speed and throughput.
  Full I2V render completes in ~6 minutes on a 5070.

• Dual KSampler passes (HIGH/ LOW)
  Uses 6 steps, and 101-frame length for smooth animations and solid adherence.

• LoRA Loader + Model Shift Controls
  Supports stylistic LoRAs with synchronized shift values across both samplers.

• RIFE Frame Interpolation (60 FPS)
  Creates ultra-fluid motion.

• Upscale + Adaptive Sharpen Pass
  Final video upscaled to ~1072 × 1616, increasing clarity while keeping motion noise controlled.

Performance

• GPU: 12GB VRAM

• Render Speed: ~6 minutes

• Output FPS: ~60–64FPS

• Resolution: ~1072 × 1616 (post-upscale)

Requirements

• KJNodes

• Rgthree Nodes

• ComfyUI Interpolation Nodes (RIFE)

• Cache-Cleaner

• ComfyUI-Essentials

• ComfyUI-Videohelpersuite

• GGUF Nodes

• AIO Wan2.2 Model: /model/2053259/wan-22-enhanced-nsfw-or-camera-prompt-adherence-lightning-edition-i2v-and-t2v-fp8-gguf

• GGUF Model (if not using AIO): /model/1820829/wan22-i2v-a14b-gguf

• Lightning Lora (If not using AIO): /model/1585622/lightning-lora-massive-speed-up-for-wan21-wan22-made-by-lightx2v-kijai

• CLIP: https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files/text_encoders

• VAE: https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files/vae