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Description
Wan 2.2-I2V-A14B is Wan.AIโs premier 14-billion-parameter image-to-video model, built on the same advanced Mixture-of-Experts (MoE) diffusion architecture as its text-to-video sibling. Designed to breathe motion into still images, it generates smooth, camera-aware 5-second video clips that preserve fine details and artistic intent. With an 83% larger video training dataset and improved motion modeling, Wan 2.2-I2V excels at animating portraits, landscapes, and concept art with cinematic finesse.
๐ Key Strengths
- High-Fidelity Motion: Renders 720p @ 24fps, with realistic camera movements and temporal coherence.
- Prompt-Free Control: No need for textโjust upload an image and generate dynamic motion automatically.
- Artistic Preservation: Maintains lighting, style, and composition of the source image.
- Open-Source & ComfyUI-Ready: Seamless integration into creative pipelines, APIs, or local workflows.
๐ฏ Use Cases
- ๐ผ๏ธ Motion Posters & Key Art โ Turn static promos into attention-grabbing short videos.
- ๐ฉโ๐ค Portrait Animation โ Add subtle movements, eye shifts, or camera pans to character art.
- ๐ Environmental Scouting โ Animate landscapes or scenes for concept validation.
- ๐ฑ Social & Ad Content โ Generate quick, stylized clips from brand visuals.
- ๐งช AI R&D & Prototyping โ Test visual coherence and animation quality across diverse inputs.
Models
| File | Destination | Source |
|---|---|---|
| umt5_xxl_fp8_e4m3fn_scaled.safetensors | /ComfyUI/models/text_encoders | Download |
| wan_2.1_vae.safetensors | /ComfyUI/models/vae | Download |
| wan2.2_i2v_high_noise_14B_fp16.safetensors | /ComfyUI/models/diffusion_models | Download |
| wan2.2_i2v_low_noise_14B_fp16.safetensors | /ComfyUI/models/diffusion_models | Download |
| maxresdefault.jpg | /ComfyUI/input | Download |
Nodes
KSamplerAdvancedVAEDecodeCLIPTextEncodeVAELoaderMarkdownNoteLoadImageCreateVideoModelSamplingSD3CLIPLoaderUNETLoaderPathchSageAttentionKJSaveVideoWanImageToVideo