# Qwen Image 2512

> LoRA inference endpoint for Qwen Image 2512, an improved version of Qwen Image with better text rendering, finer natural textures, and more realistic human generation.


## Overview

- **Endpoint**: `https://fal.run/fal-ai/qwen-image-2512/lora`
- **Model ID**: `fal-ai/qwen-image-2512/lora`
- **Category**: text-to-image
- **Kind**: inference
**Tags**: qwen, 2512, lora



## Pricing

- **Price**: $0.035 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: "Single red rose in a clear glass vase on white marble streaked with black and gold veins, harsh directional shadow, high contrast, editorial style, clean negative space."

- **`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: `4`
  - Default: `4`
  - Range: `0` 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"`

- **`loras`** (`list<LoraWeight>`, _optional_):
  The LoRAs to use for the image generation. You can use up to 3 LoRAs
  and they will be merged together to generate the final image.
  - Default: `[]`
  - Array of LoraWeight



**Required Parameters Example**:

```json
{
  "prompt": "Single red rose in a clear glass vase on white marble streaked with black and gold veins, harsh directional shadow, high contrast, editorial style, clean negative space."
}
```

**Full Example**:

```json
{
  "prompt": "Single red rose in a clear glass vase on white marble streaked with black and gold veins, harsh directional shadow, high contrast, editorial style, clean negative space.",
  "image_size": "landscape_4_3",
  "num_inference_steps": 28,
  "guidance_scale": 4,
  "num_images": 1,
  "enable_safety_checker": true,
  "output_format": "png",
  "acceleration": "regular",
  "loras": []
}
```


### Output Schema

The API returns the following output format:

- **`images`** (`list<Image>`, _required_):
  The generated image files info.
  - Array of Image
  - Examples: [{"url":"https://v3b.fal.media/files/b/0a887d5a/r3LfL0WY1re7dT5Qb85U_.png","width":1024,"content_type":"image/png","height":768}]

- **`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": [
    {
      "url": "https://v3b.fal.media/files/b/0a887d5a/r3LfL0WY1re7dT5Qb85U_.png",
      "width": 1024,
      "content_type": "image/png",
      "height": 768
    }
  ],
  "prompt": ""
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/qwen-image-2512/lora \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "Single red rose in a clear glass vase on white marble streaked with black and gold veins, harsh directional shadow, high contrast, editorial style, clean negative space."
   }'
```

### 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/qwen-image-2512/lora",
    arguments={
        "prompt": "Single red rose in a clear glass vase on white marble streaked with black and gold veins, harsh directional shadow, high contrast, editorial style, clean negative space."
    },
    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/qwen-image-2512/lora", {
  input: {
    prompt: "Single red rose in a clear glass vase on white marble streaked with black and gold veins, harsh directional shadow, high contrast, editorial style, clean negative space."
  },
  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/qwen-image-2512/lora)
- [API Documentation](https://fal.ai/models/fal-ai/qwen-image-2512/lora/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/qwen-image-2512/lora)

### 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`