Documentation Index
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This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThis 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 | Data Type | Required | Range | Description |
|---|---|---|---|---|
image | IMAGE | Yes | N/A | Input image to vectorize. |
auto_crop | BOOLEAN | No | TrueFalse | Automatically crop to the dominant subject. This is an advanced parameter (default: False). |
model | DYNAMICCOMBO | Yes | Multiple options available | Model to use for SVG vectorization. Selecting a model reveals additional parameters specific to that model: target_size (square resize target in pixels, default: 1024, range: 128-4096), temperature, top_p, and presence_penalty. |
seed | INT | No | 0 to 2147483647 | 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). |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
SVG | SVG | The vectorized SVG output. |
Source fingerprint (SHA-256):
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