# Recraft V3

> Recraft V3 is a text-to-image model with the ability to generate long texts, vector art, images in brand style, and much more. As of today, it is SOTA in image generation, proven by Hugging Face's industry-leading Text-to-Image Benchmark by Artificial Analysis.


## Overview

- **Endpoint**: `https://fal.run/fal-ai/recraft/v3/text-to-image`
- **Model ID**: `fal-ai/recraft/v3/text-to-image`
- **Category**: text-to-image
- **Kind**: inference
**Tags**: vector, typography, style



## Pricing

Your request will cost **$0.04** per image (or **$0.08** if you are using a vector style). For $1 you can run this model approximately **25** times.

For more details, see [fal.ai pricing](https://fal.ai/pricing).

## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:


- **`prompt`** (`string`, _required_)
  - Examples: "a red panda eating a bamboo in front of a poster that says \"recraft V3 now available at fal\""

- **`image_size`** (`ImageSize | Enum`, _optional_):
   Default value: `square_hd`
  - Default: `"square_hd"`
  - One of: ImageSize | Enum

- **`style`** (`StyleEnum`, _optional_):
  The style of the generated images. Vector images cost 2X as much. Default value: `"realistic_image"`
  - Default: `"realistic_image"`
  - Options: `"any"`, `"realistic_image"`, `"digital_illustration"`, `"vector_illustration"`, `"realistic_image/b_and_w"`, `"realistic_image/hard_flash"`, `"realistic_image/hdr"`, `"realistic_image/natural_light"`, `"realistic_image/studio_portrait"`, `"realistic_image/enterprise"`, `"realistic_image/motion_blur"`, `"realistic_image/evening_light"`, `"realistic_image/faded_nostalgia"`, `"realistic_image/forest_life"`, `"realistic_image/mystic_naturalism"`, `"realistic_image/natural_tones"`, `"realistic_image/organic_calm"`, `"realistic_image/real_life_glow"`, `"realistic_image/retro_realism"`, `"realistic_image/retro_snapshot"`, `"realistic_image/urban_drama"`, `"realistic_image/village_realism"`, `"realistic_image/warm_folk"`, `"digital_illustration/pixel_art"`, `"digital_illustration/hand_drawn"`, `"digital_illustration/grain"`, `"digital_illustration/infantile_sketch"`, `"digital_illustration/2d_art_poster"`, `"digital_illustration/handmade_3d"`, `"digital_illustration/hand_drawn_outline"`, `"digital_illustration/engraving_color"`, `"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/expressionism"`, `"digital_illustration/freehand_details"`, `"digital_illustration/grain_20"`, `"digital_illustration/graphic_intensity"`, `"digital_illustration/hard_comics"`, `"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/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/infographical"`, `"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/vector_photo"`, `"vector_illustration/vivid_shapes"`, `"vector_illustration/engraving"`, `"vector_illustration/line_art"`, `"vector_illustration/line_circuit"`, `"vector_illustration/linocut"`

- **`colors`** (`list<RGBColor>`, _optional_):
  An array of preferable colors
  - Default: `[]`
  - Array of RGBColor

- **`style_id`** (`string`, _optional_):
  The ID of the custom style reference (optional)

- **`enable_safety_checker`** (`boolean`, _optional_):
  If set to true, the safety checker will be enabled.
  - Default: `false`



**Required Parameters Example**:

```json
{
  "prompt": "a red panda eating a bamboo in front of a poster that says \"recraft V3 now available at fal\""
}
```

**Full Example**:

```json
{
  "prompt": "a red panda eating a bamboo in front of a poster that says \"recraft V3 now available at fal\"",
  "image_size": "square_hd",
  "style": "realistic_image",
  "colors": []
}
```


### Output Schema

The API returns the following output format:

- **`images`** (`list<File>`, _required_)
  - Array of File
  - Examples: [{"url":"https://fal.media/files/penguin/852yy3l5DGLmrwAK42RTB_image.webp"}]



**Example Response**:

```json
{
  "images": [
    {
      "url": "https://fal.media/files/penguin/852yy3l5DGLmrwAK42RTB_image.webp"
    }
  ]
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/recraft/v3/text-to-image \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "a red panda eating a bamboo in front of a poster that says \"recraft V3 now available at fal\""
   }'
```

### Python

Ensure you have the Python client installed:

```bash
pip install fal-client
```

Then use the API client to make requests:

```python
import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/recraft/v3/text-to-image",
    arguments={
        "prompt": "a red panda eating a bamboo in front of a poster that says \"recraft V3 now available at fal\""
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)
```

### JavaScript

Ensure you have the JavaScript client installed:

```bash
npm install --save @fal-ai/client
```

Then use the API client to make requests:

```javascript
import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/recraft/v3/text-to-image", {
  input: {
    prompt: "a red panda eating a bamboo in front of a poster that says \"recraft V3 now available at fal\""
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);
```


## Additional Resources

### Documentation

- [Model Playground](https://fal.ai/models/fal-ai/recraft/v3/text-to-image)
- [API Documentation](https://fal.ai/models/fal-ai/recraft/v3/text-to-image/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/recraft/v3/text-to-image)

### fal.ai Platform

- [Platform Documentation](https://docs.fal.ai)
- [Python Client](https://docs.fal.ai/clients/python)
- [JavaScript Client](https://docs.fal.ai/clients/javascript)