Recraft V3 SVG is a SOTA text-to-image model that generates SVG/vector artwork in diverse styles and handles long text prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Boşta
$0.08çalıştırma başına·~12 / $1
Renaissance-style portrait of a noblewoman with an intricate lace dress, soft oil painting texture, chiaroscuro lighting, 1600s style background
Young man with curly hair reading a book in a vintage library, warm sunlight casting shadows
A woman in a dress standing beside a rainy window
Close-up portrait of a freckled teenage girl with messy hair and intense eyes
Elven princess in a glowing forest, wearing a crown of leaves, long flowing hair, bioluminescent fireflies surrounding her
A young woman in a white blouse and skirt standing in a sunlit kitchen
Old man with a long grey beard reading a book under a streetlamp at night
Elven warrior queen in armor walking through an enchanted forest, glowing runes on trees
Sorcerer casting a fire spell in ancient ruins, fiery light illuminating face, swirling energy around hands
A full-body candid shot of a young man in his early 20s walking down a sun-drenched street in Shinjuku, Tokyo. He is wearing a stylish oversized beige hoodie, black cargo pants, and limited-edition sneakers. He is looking off-camera with a thoughtful expression, with headphones around his neck.
Generate premium scalable vector graphics (SVG) from text descriptions with Recraft V3. This advanced model creates elegant, production-ready vector illustrations in artistic styles like engraving, line art, and linocut — perfect for logos, fine art prints, and sophisticated design work.
Looking for more style variety? Try Recraft 20B SVG for an expanded style library including icons and kawaii.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the vector graphic you want to generate. |
| aspect_ratio | No | Output format: 1:1, 16:9, 9:16, 4:3, 3:4, etc. Default: 1:1. |
| style | No | Vector style preset (see Style Guide below). |
| Enable Safety Checker | No | Toggle content safety filtering. |
Flat rate per image generation.
| Output | Cost |
|---|---|
| Per SVG | $0.08 |
| Style | Description | Best For |
|---|---|---|
| engraving | Classic engraving line work | Vintage designs, certificates, premium branding |
| line_art | Clean line-based illustration | Minimalist art, elegant logos, book illustrations |
| line_circuit | Circuit board aesthetic | Tech themes, electronics, futuristic designs |
| linocut | Block print woodcut style | Artistic prints, editorial, craft aesthetics |
| Model | Cost | Styles | Best For |
|---|---|---|---|
| Recraft V3 SVG | $0.08 | Artistic (engraving, line_art, etc.) | Premium, artistic vectors |
| Recraft 20B SVG | $0.044 | Extensive (icons, kawaii, flat, etc.) | Diverse style needs, icons |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/recraft-ai/recraft-v3-svg with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Recraft v3 Svg below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/recraft-ai/recraft-v3-svg" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"style": "engraving",
"enable_base64_output": false
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("recraft-ai/recraft-v3-svg", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"style": "engraving",
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"recraft-ai/recraft-v3-svg",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"style": "engraving",
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputRecraft v3 Svg is a Recraft model for image generation, exposed as a REST API on WaveSpeedAI. Recraft V3 SVG is a SOTA text-to-image model that generates SVG/vector artwork in diverse styles and handles long text prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/recraft-ai/recraft-ai-recraft-v3-svg.
Recraft v3 Svg starts at $0.080 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `aspect_ratio`, `enable_base64_output`, `style`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/recraft-ai/recraft-ai-recraft-v3-svg.
Average end-to-end generation time on WaveSpeedAI is around 11 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Recraft). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.