Wan2ImageToVideoApi - ComfyUI Built-in Node Documentation - ComfyUI

The Wan 2.7 Image to Video node generates a video starting from a first-frame image. You can optionally provide a last-frame image to create a transition between the two, or provide an audio file to guide the video’s motion and timing. The node uses an AI model to animate the scene based on your text description.

Inputs

Common Inputs

Parameter	Description	Data Type	Required	Range
`model`	The AI model to use for video generation.	DYNAMIC_COMBO	Yes	`"wan2.7-i2v"`
`first_frame`	First frame image. The output aspect ratio is derived from this image.	IMAGE	Yes	-
`last_frame`	Last frame image. The model generates a video transitioning from first to last frame.	IMAGE	No	-
`audio`	Audio for driving video generation (e.g., lip sync, beat-matched motion). Duration: 2s-30s. If not provided, the model automatically generates matching background music or sound effects.	AUDIO	No	-
`seed`	Seed to use for generation (default: 0).	INT	Yes	0 to 2147483647
`prompt_extend`	Whether to enhance the prompt with AI assistance (default: True). This is an advanced setting.	BOOLEAN	Yes	True False
`watermark`	Whether to add an AI-generated watermark to the result (default: False). This is an advanced setting.	BOOLEAN	Yes	True False

wan2.7-i2v Inputs

Parameter	Description	Data Type	Required	Range
`prompt`	Prompt describing the elements and visual features. Supports English and Chinese. (default: empty)	STRING	Yes	-
`negative_prompt`	Negative prompt describing what to avoid. (default: empty)	STRING	Yes	-
`resolution`	The resolution of the output video.	COMBO	Yes	`"720P"` `"1080P"`
`duration`	The length of the generated video in seconds (default: 5).	INT	Yes	2 to 15

Note: The audio input has a duration constraint. If provided, the audio file must be between 2 and 30 seconds long.

Outputs

Output Name	Description	Data Type
`output`	The generated video file.	VIDEO

This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

Source fingerprint (SHA-256): 81b0dc9500ff00e1428422d3d9c8df8f790c1d9dec547dcba0d1aa239f8a8beb