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The Wan Reference to Video node uses the visual appearance and voice from one or more input reference videos, along with a text prompt, to generate a new video. It maintains consistency with the characters from the reference material while creating new content based on your description.

Inputs

ParameterDescriptionData TypeRequiredRange
modelThe specific AI model to use for video generation.COMBOYes"wan2.6-r2v"
promptA description of the elements and visual features for the new video. Supports English and Chinese. Use identifiers like character1 and character2 to refer to the characters from the reference videos.STRINGYes-
negative_promptA description of elements or features to avoid in the generated video.STRINGNo-
reference_videosA list of video inputs used as references for character appearance and voice. You must provide at least one video. Each video can be assigned a name like character1, character2, or character3.AUTOGROWYes-
sizeThe resolution and aspect ratio for the output video.COMBOYes"720p: 1:1 (960x960)"
"720p: 16:9 (1280x720)"
"720p: 9:16 (720x1280)"
"720p: 4:3 (1088x832)"
"720p: 3:4 (832x1088)"
"1080p: 1:1 (1440x1440)"
"1080p: 16:9 (1920x1080)"
"1080p: 9:16 (1080x1920)"
"1080p: 4:3 (1632x1248)"
"1080p: 3:4 (1248x1632)"
durationThe length of the generated video in seconds. The value must be a multiple of 5 (default: 5).INTYes5 to 10
seedA random seed value for reproducible results. A value of 0 will generate a random seed.INTNo0 to 2147483647
shot_typeSpecifies whether the generated video is a single continuous shot or contains multiple shots with cuts.COMBOYes"single"
"multi"
watermarkWhen enabled, an AI-generated watermark is added to the final video (default: False).BOOLEANNo-
Constraints:
  • Each video provided in reference_videos must be between 2 and 30 seconds in duration.
  • The duration parameter is limited to specific values (5 or 10 seconds).

Outputs

Output NameDescriptionData Type
outputThe newly 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

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