Edit any uploaded image with Image2SVG — identity-preserving instructions, seamless lighting, one model, no surprises.
Upload a frame, describe the change, get a clean result.
Open tracer that converts raster images into scalable SVGs, with control over color mode, curve style, and how aggressively noise is filtered out. This tool routes every edit through Image2SVG specifically — no model lottery — so the look-and-feel stays consistent across iterations. Strengths it's known for: raster to svg, tunable tracing, color or black & white. The form is opinionated: a source image, an instruction, and a "preserve subject" toggle that nudges the model to keep faces, products, or signage identical to the source. Lighting, perspective, and grading are matched on the seam so the result reads as a continuous photo, not a cut-and-paste. Pair it with Upscale Images for resolution, or with the t2i version of Image2SVG when you'd rather start from scratch.
Five steps to a seamless, identity-preserving edit.
Strengths called out on Fal's own model card.
Why people pick this model
Image2SVG is consistently picked for raster to svg — it shows up first on Fal's own published model card and again in real-world side-by-side tests.
Where it edges the competition
Tunable Tracing is the named differentiator on Image2SVG versus other Fal releases — useful when this is the axis that actually matters for your output.
A strength on the model card
If your job hinges on color or black & white, Image2SVG is the lane to choose; the model team optimized for this trade-off explicitly.
What it is consistently good at
Scalable Output is the reason Image2SVG gets the dedicated landing page instead of being buried behind the multi-model picker.
Seamless relights
Replace skies, walls, or studio backdrops while Image2SVG matches the new lighting onto the preserved subject.
Same subject, new look
Change era, medium, or mood without rebuilding the composition from scratch.
Concrete use-cases that justify a dedicated landing page.
And why pinning the model matters.
Image editors fail in two places: subject drift (the face or product subtly changes) and seam mismatch (lighting on the edited region looks pasted). Image2SVG is built to minimise both. Strengths called out for it include raster to svg, tunable tracing, color or black & white, scalable output. This page bakes in a "preserve subject" toggle (default on) and routes every request through the same orchestrator pipeline used for chat, so credit accounting, file storage, and run history are all inherited. If you need to escalate the work — upscale, background removal, comparison — keep the original model where possible to avoid stylistic drift.
Small adjustments that meaningfully improve output quality.
Image2SVG is an AI image editor built by Fal. Open tracer that converts raster images into scalable SVGs, with control over color mode, curve style, and how aggressively noise is filtered out. On Gab AI it's available as a standalone, pinned tool — runs through the same orchestrator, credits, and file pipeline as chat.
Anyone with a Gab AI account can run Image2SVG. Each run deducts the model's per-request credit cost from your balance — there's no surprise per-month fee.
Credit cost is set on the underlying Image2SVG model, not on this tool. The form recalculates and displays the exact cost as you change resolution and output format, so you see the bill before you submit — never after.
Commercial use depends on Fal's terms for Image2SVG, not on Gab AI. As a rule of thumb, generated images you make from your own prompts on a paid plan are yours to use; double-check the model card for your specific use case (logos, person-of-interest, trademarked content).
Image2SVG does not embed visible watermarks by default in this pipeline. Some vendors apply invisible content-credential markers — that behaviour is on the model, not on the tool.
Because every model is different and the multi-model picker quietly hides those differences. Pinning Image2SVG to its own tool gives you predictable cost, consistent style, and a fair lane for comparing one model's output against another's without confusing the cause of the difference.
Yes — every model gets the same kind of landing page. Use the catalog at /tools to browse all model-playground tools, or pick a different one from the related tools section below.
Every run lands in your Tool Runs (under My Library). You can revisit, download, fork, or continue any run in chat for follow-up work.
One model, one form, one good result.
Stop arguing with a model picker mid-project. Pin Image2SVG as your engine of choice, run the form above, and let the orchestrator handle credits, file storage, and run history exactly the way it does for chat. Everything you generate is yours, saved to your Tool Runs, and ready to fork or continue.