Wan 2.2 Image to Video GGUF 14B Lightning

Use Wan 2.2 Image to Video GGUF 14B Lightning to turn an initial image and an adjusted prompt into a video: place the image in the image node, edit the prompt, and press queue.

Choose the expanded version to see all nodes, or the compact subgraph version to hide the details.

Upscaling is described as an extra step after video generation.

An example output is a 1024 × 576 video using 14B GGUF models and the Lightning Lora.

The base model is Wan Video 14B i2v 480p.

The requirements call for at least 12 GB VRAM and 32 GB system RAM; the workflow was generated with 16 GB VRAM.

Arunderan is listed as the publisher, and the expanded-node version is described as a starting point for installing the models and LoRAs.

The workflow lists these model files: umt5_xxl_fp8_e4m3fn_scaled.safetensors, wan_2.1_vae.safetensors, wan2.2_i2v_high_noise_14B_Q4_K_M.gguf, and wan2.2_i2v_low_noise_14B_Q4_K_M.gguf.

The workflow lists these node packs: comfyui-frame-interpolation, comfyui-gguf, comfyui-videohelpersuite, and rgthree-comfy.

It uses Wan 2.2 GGUF image-to-video processing with a Lightning Lora described as speeding generation time.

An example 1024 × 576 video with the 14B GGUF models and Lightning Lora is reported at 8 minutes; do not treat that figure as a runtime promise.

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Before use, verify that these model files are available: umt5_xxl_fp8_e4m3fn_scaled.safetensors, wan_2.1_vae.safetensors, wan2.2_i2v_high_noise_14B_Q4_K_M.gguf, and wan2.2_i2v_low_noise_14B_Q4_K_M.gguf.

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Before setup, verify which comfyui-gguf node pack is intended; the listed name alone is not enough to choose one.

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