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The ByteDance Image to Video node generates videos using ByteDance models through an API based on an input image and text prompt. It takes a starting image frame and creates a video sequence that follows the provided description. The node offers various customization options for video resolution, aspect ratio, duration, and other generation parameters.

Inputs

ParameterDescriptionData TypeRequiredRange
modelThe ByteDance model to use for video generation (default: "seedance-1-0-pro-fast-251015").STRINGYes"seedance-1-5-pro-251215"
"seedance-1-0-pro-250528"
"seedance-1-0-lite-i2v-250428"
"seedance-1-0-pro-fast-251015"
promptThe text prompt used to generate the video. Must be at least 1 character long after trimming whitespace.STRINGYes-
imageFirst frame to be used for the video. Must be between 300x300 and 6000x6000 pixels, with an aspect ratio between 0.4 and 2.5.IMAGEYes-
resolutionThe resolution of the output video.STRINGYes"480p"
"720p"
"1080p"
aspect_ratioThe aspect ratio of the output video.STRINGYes"adaptive"
"16:9"
"4:3"
"1:1"
"3:4"
"9:16"
"21:9"
durationThe duration of the output video in seconds (default: 5). For the seedance-1-5-pro-251215 model, the minimum supported duration is 4 seconds.INTYes3 - 12
seedSeed to use for generation (default: 0).INTNo0 - 2147483647
camera_fixedSpecifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect (default: False).BOOLEANNo-
watermarkWhether to add an “AI generated” watermark to the video (default: False).BOOLEANNo-
generate_audioThis parameter is ignored for any model except seedance-1-5-pro-251215 (default: False).BOOLEANNo-
Note: The prompt must not contain the following words (case-insensitive): resolution, ratio, duration, seed, camerafixed, watermark. These parameters are set via their dedicated inputs.

Outputs

Output NameDescriptionData Type
outputThe generated video file based on the input image and prompt parameters.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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