quiverai
// Generate and vectorize SVG graphics via the QuiverAI API (Arrow model). Use when the user asks to create logos, icons, or illustrations as SVG, convert raster images (PNG/JPEG/WebP) to SVG, or generate vector graphics from text prompts.
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SKILL.mdreadonly
SKILL.md Frontmatter
namequiverai
descriptionGenerate and vectorize SVG graphics via the QuiverAI API (Arrow model). Use when the user asks to create logos, icons, or illustrations as SVG, convert raster images (PNG/JPEG/WebP) to SVG, or generate vector graphics from text prompts.
metadata[object Object]
QuiverAI — AI Vector Graphics
QuiverAI generates production-ready SVGs from text prompts or raster images.
- Site: https://quiver.ai
- Docs: https://docs.quiver.ai
- API base:
https://api.quiver.ai/v1 - Model:
arrow-preview - Auth: Bearer token via
QUIVERAI_API_KEY - Billing: 1 credit per request (regardless of
n).
Setup
Get an API key at https://app.quiver.ai/settings/api-keys (create account at https://quiver.ai/start first).
Text to SVG
Generate SVGs from a text description.
Endpoint: POST /v1/svgs/generations
curl -X POST https://api.quiver.ai/v1/svgs/generations \
-H "Authorization: Bearer $QUIVERAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "arrow-preview",
"prompt": "A minimalist monogram logo using the letter Q",
"n": 1,
"stream": false
}'
Node.js SDK (npm install @quiverai/sdk):
import { QuiverAI } from "@quiverai/sdk";
const client = new QuiverAI({ bearerAuth: process.env.QUIVERAI_API_KEY });
const result = await client.createSVGs.generateSVG({
model: "arrow-preview",
prompt: "A minimalist monogram logo using the letter Q",
});
// result.data[0].svg contains the SVG markup
Parameters
| Param | Type | Default | Description |
|---|---|---|---|
model | string | — | Required. Use arrow-preview. |
prompt | string | — | Required. Describes the desired SVG. |
instructions | string | — | Additional style guidance (e.g. "flat monochrome, rounded corners"). |
references | array | — | Up to 4 reference images ({ url } or { base64 }). |
n | int | 1 | Number of outputs (1–16). |
temperature | float | 1 | Sampling temperature (0–2). Lower = more deterministic. |
top_p | float | 1 | Nucleus sampling (0–1). |
max_output_tokens | int | — | Upper bound for output tokens (max 131072). |
stream | bool | false | SSE streaming (events: reasoning, draft, content). |
Response
{
"id": "resp_01J...",
"created": 1704067200,
"data": [{ "svg": "<svg ...>...</svg>", "mime_type": "image/svg+xml" }],
"usage": { "total_tokens": 1640, "input_tokens": 1200, "output_tokens": 440 }
}
Image to SVG (Vectorize)
Convert a raster image (PNG/JPEG/WebP) into SVG.
Endpoint: POST /v1/svgs/vectorizations
curl -X POST https://api.quiver.ai/v1/svgs/vectorizations \
-H "Authorization: Bearer $QUIVERAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "arrow-preview",
"stream": false,
"image": { "url": "https://example.com/logo.png" }
}'
SDK:
const result = await client.vectorizeSVG.vectorizeSVG({
model: "arrow-preview",
image: { url: "https://example.com/logo.png" },
});
Additional parameters (beyond Text-to-SVG shared ones)
| Param | Type | Default | Description |
|---|---|---|---|
image | object | — | Required. { url: "..." } or { base64: "..." }. |
auto_crop | bool | false | Crop to dominant subject before vectorization. |
target_size | int | — | Square resize target in px (128–4096) before inference. |
Response format is identical to Text-to-SVG.
Error codes
| Status | Code | Meaning |
|---|---|---|
| 400 | invalid_request | Malformed body or missing fields. |
| 401 | unauthorized | Bad or missing API key. |
| 402 | insufficient_credits | Out of credits. |
| 429 | rate_limit_exceeded | Too many requests; back off and retry. |
Tips
- Save SVG output to a
.svgfile for immediate use. - Use
instructionsto control style without changing the prompt. - For logos, try low
temperature(0.3–0.5) for cleaner, more consistent results. - Use
referencesto provide visual examples the model should match. - For vectorization, enable
auto_crop: truewhen the source image has excess whitespace.