# Recraft V3

> Generate images from a text prompt across a large library of professional design styles, with true vector (SVG) output when a vector style is selected — ideal for logos, icons, and brand graphics.

## Overview

- **Endpoint**: `https://queue.modelrunner.run/recraft/v3/text-to-image`
- **Model ID**: `recraft/v3/text-to-image`
- **Category**: text-to-image
- **Kind**: inference
- **Tags**: recraft, recraft-v3, text-to-image, vector, svg, design, illustration, logo

## Pricing

- **Price**: $0.04 per output

## Request Lifecycle

This model runs on the ModelRunner **asynchronous queue API** — a single POST does not return the output. Every call requires an `Authorization: Key $MODEL_RUNNER_KEY` header. Run three steps:

1. **Submit** — `POST https://queue.modelrunner.run/recraft/v3/text-to-image` with a JSON body holding the input fields at the top level. The body may also include a reserved top-level `metadata` object — a flat string map (max 16 keys, key ≤64 / value ≤512 chars) stored on the request for your own tagging. It is never sent to the model; filter your request history with `GET https://queue.modelrunner.run/requests?metadata=<url-encoded JSON>` (exact key=value matches, AND-ed). The response carries request handles only (no output yet):

```json
{
  "status": "IN_QUEUE",
  "request_id": "<21-char id>",
  "status_url": "https://queue.modelrunner.run/recraft/v3/text-to-image/requests/<request_id>/status",
  "response_url": "https://queue.modelrunner.run/recraft/v3/text-to-image/requests/<request_id>",
  "cancel_url": "https://queue.modelrunner.run/recraft/v3/text-to-image/requests/<request_id>/cancel"
}
```

2. **Poll status** — `GET <status_url>` until `status` is `COMPLETED`. Possible values are `IN_QUEUE`, `IN_PROGRESS`, `COMPLETED`, `FAILED`, `CANCELLED`. A `FAILED` request responds with HTTP 400 and an `error` field.

3. **Read result** — `GET <response_url>`. Returns the finished request, including the generated `output`:

```json
{ "id": "<request_id>", "status": "COMPLETED", "output": ..., "input": ... }
```

The JavaScript and Python SDKs below perform steps 2–3 for you. In any language without an SDK (Swift, Go, Kotlin, etc.) you must implement the polling loop and the final result fetch yourself — see the cURL example for the full flow.

### Input Schema

- **`style`** (`StyleEnum`, _optional_):
  The visual style to render. Pick a top-level family or a specific substyle. Any 'vector_illustration/*' style returns a true vector (SVG) file; all other styles return a raster image. Vector styles cost more (billed at the standard rate here).
  - Default: `"realistic_image"`
  - Options: `"any"`, `"realistic_image"`, `"digital_illustration"`, `"vector_illustration"`, `"realistic_image/b_and_w"`, `"realistic_image/enterprise"`, `"realistic_image/evening_light"`, `"realistic_image/faded_nostalgia"`, `"realistic_image/forest_life"`, `"realistic_image/hard_flash"`, `"realistic_image/hdr"`, `"realistic_image/motion_blur"`, `"realistic_image/mystic_naturalism"`, `"realistic_image/natural_light"`, `"realistic_image/natural_tones"`, `"realistic_image/organic_calm"`, `"realistic_image/real_life_glow"`, `"realistic_image/retro_realism"`, `"realistic_image/retro_snapshot"`, `"realistic_image/studio_portrait"`, `"realistic_image/urban_drama"`, `"realistic_image/village_realism"`, `"realistic_image/warm_folk"`, `"digital_illustration/2d_art_poster"`, `"digital_illustration/2d_art_poster_2"`, `"digital_illustration/antiquarian"`, `"digital_illustration/bold_fantasy"`, `"digital_illustration/child_book"`, `"digital_illustration/child_books"`, `"digital_illustration/cover"`, `"digital_illustration/crosshatch"`, `"digital_illustration/digital_engraving"`, `"digital_illustration/engraving_color"`, `"digital_illustration/expressionism"`, `"digital_illustration/freehand_details"`, `"digital_illustration/grain"`, `"digital_illustration/grain_20"`, `"digital_illustration/graphic_intensity"`, `"digital_illustration/hand_drawn"`, `"digital_illustration/hand_drawn_outline"`, `"digital_illustration/handmade_3d"`, `"digital_illustration/hard_comics"`, `"digital_illustration/infantile_sketch"`, `"digital_illustration/long_shadow"`, `"digital_illustration/modern_folk"`, `"digital_illustration/multicolor"`, `"digital_illustration/neon_calm"`, `"digital_illustration/noir"`, `"digital_illustration/nostalgic_pastel"`, `"digital_illustration/outline_details"`, `"digital_illustration/pastel_gradient"`, `"digital_illustration/pastel_sketch"`, `"digital_illustration/pop_art"`, `"digital_illustration/pop_renaissance"`, `"digital_illustration/seamless"`, `"digital_illustration/street_art"`, `"digital_illustration/tablet_sketch"`, `"digital_illustration/urban_glow"`, `"digital_illustration/urban_sketching"`, `"digital_illustration/vanilla_dreams"`, `"digital_illustration/young_adult_book"`, `"digital_illustration/young_adult_book_2"`, `"vector_illustration/bold_stroke"`, `"vector_illustration/chemistry"`, `"vector_illustration/colored_stencil"`, `"vector_illustration/contour_pop_art"`, `"vector_illustration/cosmics"`, `"vector_illustration/cutout"`, `"vector_illustration/depressive"`, `"vector_illustration/editorial"`, `"vector_illustration/emotional_flat"`, `"vector_illustration/engraving"`, `"vector_illustration/infographical"`, `"vector_illustration/line_art"`, `"vector_illustration/line_circuit"`, `"vector_illustration/linocut"`, `"vector_illustration/marker_outline"`, `"vector_illustration/mosaic"`, `"vector_illustration/naivector"`, `"vector_illustration/roundish_flat"`, `"vector_illustration/segmented_colors"`, `"vector_illustration/sharp_contrast"`, `"vector_illustration/thin"`, `"vector_illustration/vivid_shapes"`

- **`prompt`** (`string`, _required_):
  The text prompt describing the image to generate.

- **`image_size`** (`ImageSizeEnum`, _optional_):
  The size/aspect of the generated image.
  - Default: `"1_1_1k"`
  - Options: `"1_1_1k"`, `"1_1_512"`, `"4_3_1k"`, `"3_4_1k"`, `"16_9_1k"`, `"9_16_1k"`

### Output Schema

_No `Output` schema properties are available._

## Default Example

**Input**

```json
{
  "style": "realistic_image",
  "prompt": "a cozy bookstore cafe interior, warm afternoon light, plants on shelves",
  "image_size": "square_hd"
}
```

**Output**

```json
[
  "https://media.modelrunner.ai/AWDKRlVA89GojoNaYFOMw.webp"
]
```
## Usage Examples

### cURL

The queue API is asynchronous: submit the request, poll `status_url` until it is `COMPLETED`, then read the result from `response_url`. Requires `jq`.

```bash
# 1. Submit the request (returns request handles, not the output)
SUBMIT=$(curl --silent --request POST \
  --url https://queue.modelrunner.run/recraft/v3/text-to-image \
  --header "Authorization: Key $MODEL_RUNNER_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "style": "realistic_image",
  "prompt": "a cozy bookstore cafe interior, warm afternoon light, plants on shelves",
  "image_size": "square_hd"
}')

STATUS_URL=$(echo "$SUBMIT" | jq -r '.status_url')
RESPONSE_URL=$(echo "$SUBMIT" | jq -r '.response_url')

# 2. Poll until the request leaves the queue / in-progress state
while true; do
  STATUS=$(curl --silent --url "$STATUS_URL" \
    --header "Authorization: Key $MODEL_RUNNER_KEY" | jq -r '.status')
  echo "Status: $STATUS"
  case "$STATUS" in
    COMPLETED) break ;;
    FAILED|CANCELLED) echo "Request $STATUS"; exit 1 ;;
  esac
  sleep 1
done

# 3. Read the finished request, including the generated output
curl --silent --url "$RESPONSE_URL" \
  --header "Authorization: Key $MODEL_RUNNER_KEY"
```

### JavaScript

```javascript
import { modelrunner } from "@modelrunner/client";

const result = await modelrunner.subscribe("recraft/v3/text-to-image", {
  input: {
  "style": "realistic_image",
  "prompt": "a cozy bookstore cafe interior, warm afternoon light, plants on shelves",
  "image_size": "square_hd"
}
});

console.log(result.data);
```

### Python

```python
import asyncio
import modelrunner_ai

async def main():
    response = await modelrunner_ai.submit_async(
        "recraft/v3/text-to-image",
        arguments={
  "style": "realistic_image",
  "prompt": "a cozy bookstore cafe interior, warm afternoon light, plants on shelves",
  "image_size": "square_hd"
}
    )
    result = await response.get()
    print(result["output"])

asyncio.run(main())
```

## Additional Resources

- [Playground](https://modelrunner.ai/models/recraft/v3/text-to-image)
- [OpenAPI Schema](https://modelrunner.ai/models/recraft/v3/text-to-image/openapi.json)
- [LLM Instructions](https://modelrunner.ai/models/recraft/v3/text-to-image/llms.txt)