# Async Flash v1.0

> Generate natural speech from text with Async AI’s Flash voice engine.

## Overview

- **Model ID**: `async-flash-v1`
- **Workflow**: `async-ai-text-to-speech`
- **Provider**: Async AI
- **Origin**: Partner Model
- **Category**: Text → Speech (audio)
- **Output**: An audio URL.
- **Tags**: text to speech, fast
- **Unified endpoint**: `POST https://api.picsart.com/workflows/v1/models/execute` (model id in the body)
- **Compatibility endpoint**: `POST https://api.picsart.com/workflows/async-ai-text-to-speech/execute` (vendor's own parameters)
- **Execution**: long-running — use the async submit/poll pair or the SDK, which polls for you
- **Model page**: https://picsart.com/api-platform/models/async-flash-v1

## Pricing

Rates are in USD. Every row below is an exact rate for the settings it names — the columns are the settings that change the price for this model. Every response reports what was actually charged in `response.usage.credits`.

| Rate |
| --- |
| $0.000138 / min |

Published rates. Volume pricing, invoicing and annual agreements: https://picsart.com/api-platform/contact-sales

## Authentication

The SDK and the REST API authenticate with a Picsart API key sent as a bearer token. Create a key in the console at https://picsart.com/api-platform/dashboard/api-keys, keep it in a server-side environment variable, and never ship it in browser code or commit it.

```bash
export PICSART_API_KEY="YOUR_KEY"
```

```http
Authorization: Bearer $PICSART_API_KEY
```

The CLI and the MCP server do not use an API key: `gen-ai login` signs in through the browser once per machine and stores a token locally.

## Interfaces

- **SDK (TypeScript)** — `@picsart/ai-sdk` (Node 20+, ESM). Type-safe `ai.generate()` / `ai.generateText()` with per-model parameter types; polls long jobs for you.
- **SDK (Python)** — `picsart-ai-sdk` (Python 3.10+, async). The same surface in snake_case: `await ai.generate()` / `await ai.generate_text()`, with a typed input per model.
- **REST** — the API gateway at `https://api.picsart.com`. Sync `/execute`, or async `/submit` + `/{taskId}/result`.
- **CLI** — `@picsart/gen-ai` (`gen-ai`). Generate from a terminal, quote cost before spending, emit JSON for pipelines.
- **MCP** — the same models inside Claude Code, Cursor, Windsurf and other MCP hosts. Setup: https://picsart.com/gen-ai-mcp/

```bash
npm install @picsart/ai-sdk      # SDK (TypeScript)
pip install picsart-ai-sdk       # SDK (Python)
npm install -g @picsart/gen-ai   # CLI (also drives the MCP server)
```

## Unified API (recommended)

One parameter set, used by the SDK and by REST alike: the names below are what `ai.generate('async-flash-v1', …)` takes, and what goes inside the inner `params` of a REST call. Over REST the model id travels in the body, not the path — one workflow, `v1/models`, fronts the whole catalogue.

### Execution modes

- **Sync** — `POST /workflows/v1/models/execute` returns the result in one call. Only for jobs that finish within ~20 seconds; otherwise it times out.
- **Async** — `POST /workflows/v1/models/submit` returns a task id; poll `GET /workflows/v1/models/{taskId}/result` until `response.status` is `COMPLETED` or `FAILED`. Task statuses: `ACCEPTED` · `IN_PROGRESS` · `COMPLETED` · `FAILED`.
- **SDK** — `ai.generate()` always awaits the finished result; polling is hidden.

Audio jobs routinely outrun the sync limit: use async over REST, or the SDK, which polls for you.

### Input parameters

- **`prompt`** (`string`, _required_): The text to speak. For music and sound effects, what to make, in plain language.
- **`voiceId`** (`string`, _optional_): The voice to speak with, by id from the voices catalog.
  - An id from the `async-ai/v1/catalog/voices` catalog, fetched at runtime via `ai.catalogs`
  - Default: `cca0e076-b350-4966-b570-4c2fca50b525`
- **`container`** (`string`, _optional_): Audio Format
  - Default: `"mp3"`
  - Options: `mp3`, `wav`, `raw`
- **`sampleRate`** (`number`, _optional_): Sample rate of the audio, in Hz.
  - Default: `24000`
  - Range: 8000–48000
- **`encoding`** (`string`, _optional_): Encoding
  - Default: `"pcm_s16le"`
  - Options: `pcm_s16le`, `pcm_f32le`
- **`bitRate`** (`number`, _optional_): Bitrate of the audio, in bits per second.
  - Default: `192000`
  - Range: 32000–320000

### Input JSON Schema

The inner `params` object. Over REST it is wrapped as `{ "params": { "model": "<id>", "params": <this> } }`; the SDK takes it directly.

```json
{
  "type": "object",
  "required": [
    "prompt"
  ],
  "properties": {
    "prompt": {
      "type": "string",
      "description": "The text to speak. For music and sound effects, what to make, in plain language."
    },
    "voiceId": {
      "type": "string",
      "description": "The voice to speak with, by id from the voices catalog. An id from the `async-ai/v1/catalog/voices` catalog.",
      "default": "cca0e076-b350-4966-b570-4c2fca50b525"
    },
    "container": {
      "type": "string",
      "enum": [
        "mp3",
        "wav",
        "raw"
      ],
      "default": "mp3",
      "description": "Audio Format"
    },
    "sampleRate": {
      "type": "number",
      "minimum": 8000,
      "maximum": 48000,
      "default": 24000,
      "description": "Sample rate of the audio, in Hz."
    },
    "encoding": {
      "type": "string",
      "enum": [
        "pcm_s16le",
        "pcm_f32le"
      ],
      "default": "pcm_s16le",
      "description": "Encoding"
    },
    "bitRate": {
      "type": "number",
      "minimum": 32000,
      "maximum": 320000,
      "default": 192000,
      "description": "Bitrate of the audio, in bits per second."
    }
  },
  "additionalProperties": false
}
```

### Required parameters example

The required parameters plus the defaults that shape the output, as a REST body:

```json
{
  "params": {
    "model": "async-flash-v1",
    "params": {
      "prompt": "A serene mountain lake at golden hour, ultra detailed"
    }
  }
}
```

### Response

The body is the gateway's status envelope: the output is at `response.result`, next to the task id, its status and the credits charged. Asset models return `url` plus an `items` array of results.

```json
{
  "status": "success",
  "response": {
    "id": "task_abc123",
    "status": "COMPLETED",
    "result": {
      "url": "https://cdn.picsart.com/…/result",
      "items": [
        {
          "url": "https://cdn.picsart.com/…/result"
        }
      ],
      "model": "async-flash-v1"
    }
  }
}
```

What `ai.generate()` / `ai.generateText()` resolve to (the envelope already unwrapped):

```json
{
  "items": [
    {
      "url": "https://cdn.picsart.com/…/result"
    }
  ],
  "model": "async-flash-v1"
}
```

### Usage examples

#### TypeScript (SDK)

```typescript
import { createClient } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY,
  apiUrl: 'https://api.picsart.com',
});

const result = await ai.generate('async-flash-v1', {
  prompt: "A serene mountain lake at golden hour, ultra detailed"
});

console.log(result.url); // audio URL
```

#### Python (SDK)

```python
import asyncio
import os

from picsart_ai_sdk import create_client


async def main() -> None:
    async with create_client(
        api_key=os.environ["PICSART_API_KEY"],
        api_url="https://api.picsart.com",
    ) as ai:
        result = await ai.generate("async-flash-v1", {
            "prompt": "A serene mountain lake at golden hour, ultra detailed",
        })

        print(result.url)  # audio URL


asyncio.run(main())
```

#### cURL (sync)

```bash
curl -X POST 'https://api.picsart.com/workflows/v1/models/execute' \
  -H 'Authorization: Bearer $PICSART_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "params": {
    "model": "async-flash-v1",
    "params": {
      "prompt": "A serene mountain lake at golden hour, ultra detailed"
    }
  }
}'
```

#### cURL (async: submit, then poll)

```bash
# 1. Submit the job
curl -X POST 'https://api.picsart.com/workflows/v1/models/submit' \
  -H 'Authorization: Bearer $PICSART_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "params": {
    "model": "async-flash-v1",
    "params": {
      "prompt": "A serene mountain lake at golden hour, ultra detailed"
    }
  }
}'
# → { "status": "success", "response": { "id": "task_abc123" } }

# 2. Poll until response.status is COMPLETED
curl 'https://api.picsart.com/workflows/v1/models/task_abc123/result' \
  -H 'Authorization: Bearer $PICSART_API_KEY'
```

#### CLI

```bash
gen-ai login  # once per machine
gen-ai models info async-flash-v1  # this model's parameters
gen-ai pricing async-flash-v1  # quote before spending credits
gen-ai generate -m async-flash-v1 \
  -p "A serene mountain lake at golden hour"
```

## Compatibility API (vendor parameters)

Alongside the unified API, the `async-ai-text-to-speech` workflow takes Async AI's own parameters exactly as the vendor defines them — nothing renamed or reshaped. It is the shortest path onto Picsart for request bodies already written against the vendor; the trade is that a request is written for one vendor, and the result comes back in the vendor's own shape. Same authentication.

- **Endpoint**: `POST https://api.picsart.com/workflows/async-ai-text-to-speech/execute` (sync) · `POST …/submit` + `GET …/{taskId}/result` (async)
- **SDK**: `ai.apis.run('async-ai-text-to-speech', params, { mode })` in TypeScript, `ai.apis.run("async-ai-text-to-speech", params, mode=…)` in Python — params forwarded verbatim

### Vendor parameters

| Parameter | Type | Required | Default | Details |
| --- | --- | --- | --- | --- |
| `model_id` | `string` | yes | — | Model id · Options: `async_flash_v1.0` |
| `transcript` | `string` | yes | — | Text to convert to speech |
| `voice` | `object` | no | — | Voice to use for synthesis. Defaults to a predefined voice when omitted. |
| └ `mode` | `string` | yes | — | Voice selection mode · Options: `id` |
| └ `id` | `string` | yes | — | Voice id |
| `output_format` | `object` | yes | — | Output configurations |
| └ `container` | `string` | yes | — | Output audio format container · Options: `raw`, `mp3`, `wav` |
| └ `encoding` | `string` | no | — | Output audio encoding. Ignored if container is mp3 · Options: `pcm_f32le`, `pcm_s16le` |
| └ `sample_rate` | `number` | yes | — | Output audio sample rate · 8000–48000 |
| └ `bit_rate` | `number` | no | `192000` | Output audio bit rate. Use only with mp3 · 32000–320000 |
| `options` | `object` | no | — | Options controlling safety checks and Picsart Drive saving. |
| └ `safety_checks` | `object` | no | — | Safety check settings |
| └   `enabled` | `boolean` | no | — | Whether to run content moderation. Defaults to true. |
| └ `drive` | `object` | no | — | Save result to Picsart Drive |
| └   `name` | `string` | yes | — | File name in Picsart Drive |
| └   `attributes` | `object` | no | — | Custom attributes to attach to the file |
| └   `folder` | `object` | no | — | Target folder in Picsart Drive |
| └ `inputs_transformation` | `object` | no | — | Input transformation settings |
| └   `downscale_oversized_images` | `boolean` | no | — | Whether to downscale oversized input images. Defaults to false. |

### Example request body

```json
{
  "params": {
    "model_id": "async_flash_v1.0",
    "transcript": "your value here",
    "output_format": {
      "container": "raw",
      "sample_rate": 0
    }
  }
}
```

### Usage examples

#### TypeScript (`ai.apis.run`)

```typescript
import { createClient, ApiRunMode } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY,
  apiUrl: 'https://api.picsart.com',
});

// Calls the 'async-ai-text-to-speech' workflow directly — params are sent as-is.
const { result, usage } = await ai.apis.run('async-ai-text-to-speech', {
  model_id: "async_flash_v1.0",
  transcript: "your value here",
  output_format: {
    container: "raw",
    sample_rate: 0
  }
}, {
  mode: ApiRunMode.SYNC,
});

console.log(result); // workflow-specific output
console.log(usage?.credits); // amount charged, in $
```

#### Python (`ai.apis.run`)

```python
import asyncio
import os

from picsart_ai_sdk import ApiRunMode, create_client


async def main() -> None:
    async with create_client(
        api_key=os.environ["PICSART_API_KEY"],
        api_url="https://api.picsart.com",
    ) as ai:
        # Calls the 'async-ai-text-to-speech' workflow directly — params are sent as-is.
        response = await ai.apis.run("async-ai-text-to-speech", {
            "model_id": "async_flash_v1.0",
            "transcript": "your value here",
            "output_format": {
                "container": "raw",
                "sample_rate": 0,
            },
        }, mode=ApiRunMode.SYNC)

        print(response["result"])  # workflow-specific output
        print((response.get("usage") or {}).get("credits"))  # amount charged, in $


asyncio.run(main())
```

#### cURL (sync)

```bash
curl -X POST 'https://api.picsart.com/workflows/async-ai-text-to-speech/execute' \
  -H 'Authorization: Bearer $PICSART_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "params": {
    "model_id": "async_flash_v1.0",
    "transcript": "your value here",
    "output_format": {
      "container": "raw",
      "sample_rate": 0
    }
  }
}'
```

#### cURL (async: submit, then poll)

```bash
# 1. Submit the job
curl -X POST 'https://api.picsart.com/workflows/async-ai-text-to-speech/submit' \
  -H 'Authorization: Bearer $PICSART_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "params": {
    "model_id": "async_flash_v1.0",
    "transcript": "your value here",
    "output_format": {
      "container": "raw",
      "sample_rate": 0
    }
  }
}'
# → { "status": "success", "response": { "id": "wf_abc123" } }

# 2. Poll until response.status is COMPLETED
curl 'https://api.picsart.com/workflows/async-ai-text-to-speech/wf_abc123/result' \
  -H 'Authorization: Bearer $PICSART_API_KEY'
```

### Response

Over HTTP the vendor-shaped result arrives inside the gateway envelope at `response.result`:

```json
{
  "status": "success",
  "response": {
    "id": "wf_abc123",
    "status": "COMPLETED",
    "result": {
      "url": "https://cdn.picsart.com/…/result.mp3",
      "mimeType": "audio/mpeg",
      "driveFile": {
        "id": "wf_abc123"
      }
    }
  }
}
```

`ai.apis.run()` unwraps that envelope and resolves to `{ result, usage }`:

```json
{
  "result": {
    "url": "https://cdn.picsart.com/…/result.mp3",
    "mimeType": "audio/mpeg",
    "driveFile": {
      "id": "wf_abc123"
    }
  }
}
```

## Additional resources

- Model page (playground): https://picsart.com/api-platform/models/async-flash-v1
- SDK and REST API (unified): https://picsart.com/api-platform/models/async-flash-v1#api
- Compatibility API (vendor parameters): https://picsart.com/api-platform/models/async-flash-v1#advanced
- Pricing: https://picsart.com/api-platform/models/async-flash-v1#pricing
- This document: https://picsart.com/api-platform/models/async-flash-v1/llms.txt
- All models: https://picsart.com/api-platform/models
- Docs — quickstart https://picsart.com/api-platform/docs/quickstart, authentication https://picsart.com/api-platform/docs/authentication, SDK https://picsart.com/api-platform/docs/sdk, REST https://picsart.com/api-platform/docs/api-reference, CLI https://picsart.com/api-platform/docs/cli, MCP https://picsart.com/api-platform/docs/mcp
- CLI reference: https://picsart.github.io/picsart-mcp-cli-docs/guide/introduction