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Generate one or more SVGs from a text prompt and optional reference images via POST /v1/svgs/generations. Examples below use arrow-1.1. To discover model IDs available to your organization, call GET /v1/models. Arrow 1.1 is the general-purpose release model; Arrow 1.1 Max is the higher-fidelity variant for detail-sensitive work. Set stream: true to receive reasoning, draft, and content Server-Sent Events while the SVG is being produced.

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Examples

Elegant calligraphic script
Japanese crane illustration
Heraldic lion crest

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Calligraphy

Prompt: “Elegant calligraphic script in a flowing hand-lettered style, single continuous stroke” 
import { QuiverAI } from "@quiverai/sdk";

const client = new QuiverAI({
  bearerAuth: process.env["QUIVERAI_API_KEY"],
});

const result = await client.createSVGs.generateSVG({
  model: "arrow-1.1",
  prompt: "Elegant calligraphic script in a flowing hand-lettered style, single continuous stroke",
});

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Illustration

Prompt: “Japanese crane in traditional woodblock illustration style with warm earth tones” 
const result = await client.createSVGs.generateSVG({
  model: "arrow-1.1",
  prompt: "Japanese crane in traditional woodblock illustration style with warm earth tones",
  instructions: "Use a warm muted palette with detailed feather work",
});
Prompt: “Heraldic lion crest with ornate medieval style details and gold gradient accents” 
const result = await client.createSVGs.generateSVG({
  model: "arrow-1.1",
  prompt: "Heraldic lion crest with ornate medieval style details and gold gradient accents",
});

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Choosing a model

  • Use arrow-1.1 for most text-to-SVG generation. It improves prompt following, structure, and cost efficiency over Arrow 1.0 while keeping outputs clean and editable.
  • Use arrow-1.1-max when output quality is the priority. It is better suited to dense illustrations, logos with tight geometry, technical diagrams, and other compositions where precision matters more than speed.

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Writing prompts

Include these elements for the best results:
  • Subject: What is in the image? Be specific. For example, “a logo for an eco-friendly coffee company”.
  • Style: What is the overall aesthetic? For example, “line art”, “hand drawn”, “duotone”, or “flat monochrome icon”.
  • Color palette: Which colors should be used? For example, “background: #e9edc9 and logo in #fb8500”.
  • Composition: Include framing details like “centered icon” or “wide horizontal logo”.
  • Text integration: Clearly state what text should appear and how. For example, “The headline ‘URBAN EXPLORER’ in bold white sans-serif at the top”.
You can also use the instructions parameter to provide separate style or formatting guidance without mixing it into the prompt.

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Parameters

ParameterTypeDefaultDescription
modelstring—Required. Model identifier (for example, arrow-1.1 or arrow-1.1-max).
promptstring—Required. Text description of the desired SVG.
instructionsstring—Additional style or formatting guidance, separate from the prompt.
referencesarray—Reference images, provided by URL or base64, to guide generation. Arrow 1.1 supports up to 4 references; Arrow 1.1 Max supports up to 16.
ninteger1Number of outputs to generate (1 to 16).
streambooleanfalseWhen true, returns a Server-Sent Events stream with progressive rendering phases (reasoning, draft, content).
temperaturenumber1Controls randomness (0 to 2). Lower values produce more deterministic output; higher values increase variety.
top_pnumber1Nucleus sampling (0 to 1). Limits token selection to the smallest set whose cumulative probability exceeds this value. Lower values make output more focused.
presence_penaltynumber0Penalizes tokens already present in prior output (-2 to 2). Positive values encourage the model to explore new patterns.
max_output_tokensinteger—Upper bound for output token count (1 to 131072).