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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.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install charmmm718/quiverai打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
QuiverAI generates production-ready SVGs from text prompts or raster images.
https://api.quiver.ai/v1
arrow-preview
QUIVERAI_API_KEY
n).Get an API key at https://app.quiver.ai/settings/api-keys (create account at https://quiver.ai/start first).
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
| 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). |
{
"id": "resp_01J...",...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# 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`
```bash
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`):
```typescript
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
```json
{
"id": "resp_01J...",...Search and hire real humans for tasks — photography, delivery, research, and more
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