QuiverImageToSVGNode - ComfyUI Built-in Node Documentation - ComfyUI

This node converts a raster image into a scalable vector graphic (SVG) using Quiver AI’s vectorization models. It sends the image to an external API which processes it and returns the vectorized result.

Inputs

Parameter	Description	Data Type	Required	Range
`image`	Input image to vectorize.	IMAGE	Yes	N/A
`auto_crop`	Automatically crop to the dominant subject (default: False).	BOOLEAN	Yes	True False
`model`	Model to use for SVG vectorization. Selecting a model reveals additional parameters specific to that model: `target_size` (square resize target in pixels; 0 keeps the source image size, otherwise 128 to 4096), `temperature`, `top_p`, and `presence_penalty`.	DYNAMIC_COMBO	Yes	`"arrow-2"` `"arrow-2-telos"` `"arrow-1.1"` `"arrow-1.1-max"` `"arrow-preview"`
`seed`	Seed to determine if the node should re-run; the actual results are nondeterministic regardless of the seed value. This parameter has “control after generate” functionality (default: 0).	INT	Yes	0 to 2147483647
`reasoning_effort`	How much reasoning the model spends before drawing. Higher levels improve detail and cost more tokens. Only used by the Arrow 2 models (default: “high”).	COMBO	No	`"low"` `"medium"` `"high"` `"xhigh"`

Outputs

Output Name	Description	Data Type
`SVG`	The vectorized SVG output.	SVG

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