OmniSVG/OmniSVG

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2590 stars · 103 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OmniSVG is a family of end-to-end multimodal SVG generation models built on pre-trained Vision-Language Models, released with inference code, model weights, training code, and the MMSVG/MMSVGBench datasets. It generates complex and detailed SVGs ranging from simple icons to intricate anime character illustrations.

Use cases

• generate svg icons from text prompts
• convert images into editable vector graphics
• create detailed anime character svgs
• generate scalable vector illustrations with ai
• benchmark multimodal svg generation models
• train custom svg generation models

When to choose

• you need ai-generated or image-derived SVG vector graphics
• you want a research-grade multimodal SVG generator with open weights and datasets
• you need a benchmark for evaluating SVG generation models

When to avoid

• you need lightweight deterministic SVG conversion without GPU inference
• you only need simple raster-to-vector tracing rather than generative modeling
• you lack GPU resources for large multimodal model inference

Facets

library · maturity active

machine-learning deep-learning image-processing data-generation artificial-intelligence machine-learning graphics image-processing python svg-generation vision-language-model multimodal text-to-svg image-to-svg neurips-2025 vector-graphics model-weights benchmark gpu linux

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markdown · JSON · MCP: product_card(name="OmniSVG/OmniSVG")