Wan2.1/2.2 I2V ComfyUI Implementation

To set up a Wan2 I2V workflow in ComfyUI, you must load the diffusion models, CLIP and vision encoders, and VAE, then configure the prompts, sampling, VAE decoding, and video saving nodes. This skill provides working templates to guide the entire assembly process for reproducible results.

Yes, you can run Wan2.2 14B I2V workflows on low VRAM by using GGUF quantized models. This skill provides specific GGUF configurations and reference templates to ensure scalable generation without exceeding hardware limits.

Standard Wan I2V generates video from an image, while TI2V supports text and image to video generation. This skill covers the setup and node configurations for both variants within the Wan2.1 and Wan2.2 model families.

Wan2 I2V workflow failures during model loading or sampling often stem from incorrect diffusion model, encoder, or VAE configurations. This skill includes troubleshooting templates to resolve common issues and ensure reliable video generation runs.

Yes, generating Wan I2V videos requires specific CLIP and vision encoders alongside the VAE and diffusion models. This skill explicitly prescribes the necessary references to ensure the workflow components are correctly loaded and aligned.