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Recraft V4 Text To Vector
aimedia
Recraft V4 Text To Vector is a paid API for AI agents from fal.ai (queue) at fal-queue.mpp.tempo.xyz, paid per call via MPP, price unknown, status unknown (last checked 2026-10-30).
Generates styled SVG/vector graphics from a text prompt using Recraft V4's vector generation model via async queue
Price / call—
Success—
StatusUnknown
How this service works
Recraft V4 styled vectors (dynamic pricing)
Output
An async request_id is returned immediately upon submission. After polling the queue for completion, the agent receives a vector graphic output (SVG or similar scalable format) generated by the Recraft V4 model based on the input text prompt and style parameters.
Example use cases
Brand logo vector creation
“Generate a clean vector illustration of an abstract fox silhouette for my startup logo using Recraft V4 — something minimal and geometric that I can scale up for print.”
Marketing illustration from description
“I need a Recraft V4 vector graphic of a futuristic city skyline at night with neon accents — it's for a tech conference banner and needs to be scalable SVG.”
Icon set generation for UI design
“Create a vector graphic of a friendly robot waving, styled flat and minimal, using Recraft V4 — I'll use it as an icon in a mobile app.”
Technical details
Endpoint
POSThttps://fal-queue.mpp.tempo.xyz/recraft/v4/style/text-to-vector?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need AI-generated scalable vector graphics (SVG) from a text prompt specifically using Recraft V4's styling capabilities. Prefer this over raster image generators (like FLUX or Seedream) when the output must be resolution-independent and scalable, such as for logos, icons, or print assets. Use the async queue variant (fal-queue) over fal.run when generation may exceed ~100 seconds, typical for complex vector outputs.
Side effects
- Prompt too vague or ambiguous resulting in unexpected output
- Queue timeout if the job takes too long to process
- Invalid or unsupported style parameters returning a 400 error
- Dynamic pricing may cause cost uncertainty at call time
- Rate limiting or quota exceeded errors from the underlying fal.ai queue
- Model unavailability or infrastructure issues returning 5xx errors
Tags
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