QuiverImageToSVGNodeV2 - ComfyUI Built-in Node Documentation - ComfyUI

Vectorize a raster image into a scalable vector graphic (SVG) with Quiver AI. The image is sent to Quiver AI’s API, which returns the vectorized result. Selecting a model reveals the model-specific parameters listed below.

Inputs

Common Inputs

Parameter	Description	Data Type	Required	Range
`model`	Model to use for SVG vectorization.	DYNAMIC_COMBO	Yes	`"arrow-2"` `"arrow-2-telos"` `"arrow-1.1"` `"arrow-1.1-max"` `"arrow-preview"`
`image`	Input image to vectorize.	IMAGE	Yes	N/A
`auto_crop`	Automatically crop to the dominant subject. Advanced parameter (default: False).	BOOLEAN	Yes	`True` `False`
`target_size`	Square resize applied to the input image before vectorizing, in pixels. 0 keeps the source size, which vectorizes more cleanly than forcing a resize; any other value below 128 is clamped to 128. This does not set the output canvas; use `width` and `height` for that. Advanced parameter (default: 0).	INT	Yes	0 to 4096
`width`	Width of the output SVG canvas (viewBox), in user units. Set both `width` and `height` to control the output size and aspect ratio; leave either at 0 to let the model choose, which usually gives a square canvas. Advanced parameter (default: 0).	INT	Yes	0 to 8192
`height`	Height of the output SVG canvas (viewBox), in user units. Set both `width` and `height` to control the output size and aspect ratio; leave either at 0 to let the model choose, which usually gives a square canvas. Advanced parameter (default: 0).	INT	Yes	0 to 8192
`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: 42).	INT	Yes	0 to 2147483647

Model-Specific Inputs

Parameter	Description	Data Type	Required	Range
`reasoning_effort`	How much reasoning the model spends before drawing. Higher levels improve detail and cost more tokens. Only used by the `"arrow-2"` and `"arrow-2-telos"` models (default: `"high"`).	COMBO	Yes	`"low"` `"medium"` `"high"` `"xhigh"`
`temperature`	Randomness control. Higher values increase randomness. Not used by the `"arrow-2-telos"` model. Advanced parameter (default: 1.0).	FLOAT	Yes	0.0 to 2.0 (step 0.1)
`top_p`	Nucleus sampling parameter. Not used by the `"arrow-2-telos"` model. Advanced parameter (default: 1.0).	FLOAT	Yes	0.05 to 1.0 (step 0.05)
`presence_penalty`	Token presence penalty. Not used by the `"arrow-2-telos"` model. Advanced parameter (default: 0.0).	FLOAT	Yes	-2.0 to 2.0 (step 0.1)

Note: target_size is applied before vectorizing and does not change the output canvas. Leave width or height at 0 to let the model pick the canvas size.

Outputs

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

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