# Ovis Image

> Ovis-Image is a 7B text-to-image model specifically optimized for quick, high quality text rendering.


## Overview

- **Endpoint**: `https://fal.run/fal-ai/ovis-image`
- **Model ID**: `fal-ai/ovis-image`
- **Category**: text-to-image
- **Kind**: inference
**Tags**: ovis-image, artistic



## Pricing

- **Price**: $0.012 per megapixels

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_):
  The prompt to generate an image from.
  - Examples: "The moment of digital upload, a human breaking apart into 3D voxels, leaving a grey world for a technicolor void, dynamic action shot, particle physics simulation, bright neon colors."

- **`negative_prompt`** (`string`, _optional_):
  The negative prompt to generate an image from. Default value: `""`
  - Default: `""`

- **`image_size`** (`ImageSize | Enum`, _optional_):
  The size of the generated image. Default value: `landscape_4_3`
  - Default: `"landscape_4_3"`
  - One of: ImageSize | Enum

- **`num_inference_steps`** (`integer`, _optional_):
  The number of inference steps to perform. Default value: `28`
  - Default: `28`
  - Range: `1` to `50`

- **`guidance_scale`** (`float`, _optional_):
  The guidance scale to use for the image generation. Default value: `5`
  - Default: `5`
  - Range: `1` to `20`

- **`seed`** (`integer`, _optional_):
  The same seed and the same prompt given to the same version of the model
  will output the same image every time.

- **`sync_mode`** (`boolean`, _optional_):
  If `True`, the media will be returned as a data URI and the output data won't be available in the request history.
  - Default: `false`

- **`num_images`** (`integer`, _optional_):
  The number of images to generate. Default value: `1`
  - Default: `1`
  - Range: `1` to `4`

- **`enable_safety_checker`** (`boolean`, _optional_):
  If set to true, the safety checker will be enabled. Disabling it requires account authorization; unauthorized requests are always checked, and images flagged as unsafe are returned as black images. Default value: `true`
  - Default: `true`

- **`output_format`** (`OutputFormatEnum`, _optional_):
  The format of the generated image. Default value: `"png"`
  - Default: `"png"`
  - Options: `"jpeg"`, `"png"`, `"webp"`

- **`acceleration`** (`AccelerationEnum`, _optional_):
  The acceleration level to use. Default value: `"regular"`
  - Default: `"regular"`
  - Options: `"none"`, `"regular"`, `"high"`



**Required Parameters Example**:

```json
{
  "prompt": "The moment of digital upload, a human breaking apart into 3D voxels, leaving a grey world for a technicolor void, dynamic action shot, particle physics simulation, bright neon colors."
}
```

**Full Example**:

```json
{
  "prompt": "The moment of digital upload, a human breaking apart into 3D voxels, leaving a grey world for a technicolor void, dynamic action shot, particle physics simulation, bright neon colors.",
  "image_size": "landscape_4_3",
  "num_inference_steps": 28,
  "guidance_scale": 5,
  "num_images": 1,
  "enable_safety_checker": true,
  "output_format": "png",
  "acceleration": "regular"
}
```


### Output Schema

The API returns the following output format:

- **`images`** (`list<Image>`, _required_):
  The generated image files info.
  - Array of Image
  - Examples: [{"height":768,"width":1024,"content_type":"image/png","url":"https://storage.googleapis.com/falserverless/example_outputs/ovis_image_output.png"}]

- **`timings`** (`Timings`, _required_)

- **`seed`** (`integer`, _required_):
  Seed of the generated Image. It will be the same value of the one passed in the
  input or the randomly generated that was used in case none was passed.

- **`has_nsfw_concepts`** (`list<boolean>`, _required_):
  Whether the generated images contain NSFW concepts.
  - Array of boolean

- **`prompt`** (`string`, _required_):
  The prompt used for generating the image.



**Example Response**:

```json
{
  "images": [
    {
      "height": 768,
      "width": 1024,
      "content_type": "image/png",
      "url": "https://storage.googleapis.com/falserverless/example_outputs/ovis_image_output.png"
    }
  ],
  "prompt": ""
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/ovis-image \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "The moment of digital upload, a human breaking apart into 3D voxels, leaving a grey world for a technicolor void, dynamic action shot, particle physics simulation, bright neon colors."
   }'
```

### 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/ovis-image",
    arguments={
        "prompt": "The moment of digital upload, a human breaking apart into 3D voxels, leaving a grey world for a technicolor void, dynamic action shot, particle physics simulation, bright neon colors."
    },
    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/ovis-image", {
  input: {
    prompt: "The moment of digital upload, a human breaking apart into 3D voxels, leaving a grey world for a technicolor void, dynamic action shot, particle physics simulation, bright neon colors."
  },
  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/ovis-image)
- [API Documentation](https://fal.ai/models/fal-ai/ovis-image/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/ovis-image)

### fal.ai Platform

- [Platform Documentation](https://fal.ai/docs/documentation)
- [Python Client](https://fal.ai/docs/api-reference/client-libraries/python)
- [JavaScript Client](https://fal.ai/docs/api-reference/client-libraries/javascript)

### Other agent-readable surfaces

This file covers one model. To find anything else:

- [Platform overview](https://fal.ai/llms.txt): Entry points and representative endpoint IDs
- [Documentation index](https://fal.ai/docs/llms.txt): Every documentation page
- [Full documentation text](https://fal.ai/docs/llms-full.txt): The whole documentation inlined
- Any other model: `https://fal.ai/models/<endpoint-id>/llms.txt`