> ## Documentation Index
> Fetch the complete documentation index at: https://fal.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Flux Pro V1.1 Ultra Finetuned API

> API reference for Flux Pro V1.1 Ultra Finetuned. FLUX1.1 [pro] ultra fine-tuned is the newest version of FLUX1.1 [pro] with a fine-tuned LoRA, maintaining professional-grade image quality while delive

**Endpoint:** `POST https://fal.run/fal-ai/flux-pro/v1.1-ultra-finetuned`
**Endpoint ID:** `fal-ai/flux-pro/v1.1-ultra-finetuned`

<Card title="Try it in the Playground" icon="play" href="https://fal.ai/models/fal-ai/flux-pro/v1.1-ultra-finetuned/playground">
  Run this model interactively with your own prompts.
</Card>

## Quick Start

<CodeGroup>
  ```python title="Python" theme={null}
  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/flux-pro/v1.1-ultra-finetuned",
      arguments={
          "prompt": "Extreme close-up of a single tiger eye, direct frontal view. Detailed iris and pupil. Sharp focus on eye texture and color. Natural lighting to capture authentic eye shine and depth. The word \"FLUX\" is painted over it in big, white brush strokes with visible texture.",
          "finetune_id": ""
      },
      with_logs=True,
      on_queue_update=on_queue_update,
  )
  print(result)
  ```

  ```javascript title="JavaScript" theme={null}
  import { fal } from "@fal-ai/client";

  const result = await fal.subscribe("fal-ai/flux-pro/v1.1-ultra-finetuned", {
    input: {
        prompt: "Extreme close-up of a single tiger eye, direct frontal view. Detailed iris and pupil. Sharp focus on eye texture and color. Natural lighting to capture authentic eye shine and depth. The word \"FLUX\" is painted over it in big, white brush strokes with visible texture.",
        finetune_id: ""
      },
    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);
  ```

  ```bash title="cURL" theme={null}
  curl --request POST \
    --url https://fal.run/fal-ai/flux-pro/v1.1-ultra-finetuned \
    --header "Authorization: Key $FAL_KEY" \
    --header "Content-Type: application/json" \
    --data '{
    "prompt": "Extreme close-up of a single tiger eye, direct frontal view. Detailed iris and pupil. Sharp focus on eye texture and color. Natural lighting to capture authentic eye shine and depth. The word \"FLUX\" is painted over it in big, white brush strokes with visible texture.",
    "finetune_id": ""
  }'
  ```
</CodeGroup>

## Related

* [FLUX1.1 \[pro\] ultra](/model-api-reference/image-generation-api/flux1.1-ultra) — Image Generation
* [FLUX1.1 \[pro\]](/model-api-reference/image-generation-api/flux1.1) — Image Generation
* [FLUX.1 \[pro\] Fill](/model-api-reference/image-generation-api/flux.1-fill) — Image Generation
* [FLUX1.1 \[pro\] Redux](/model-api-reference/image-generation-api/flux1.1-redux) — Image Generation
* [FLUX1.1 \[pro\] ultra Redux](/model-api-reference/image-generation-api/flux1.1-ultra-redux) — Image Generation
* [FLUX.1 \[pro\] Fill Fine-tuned](/model-api-reference/image-generation-api/flux.1-fill-fine-tuned) — Image Generation

## Capabilities

* Text prompt input
* Reproducible generation (seed)
* Synchronous mode
* Batch generation
* Image input
* Aspect ratio control

## API Reference

### Input Schema

<ParamField body="prompt" type="string" required>
  The prompt to generate an image from.
</ParamField>

<ParamField body="seed" type="integer">
  The same seed and the same prompt given to the same version of the model
  will output the same image every time.
</ParamField>

<ParamField body="sync_mode" type="boolean" default="false">
  If `True`, the media will be returned as a data URI and the output data won't be available in the request history.
</ParamField>

<ParamField body="num_images" type="integer" default="1">
  The number of images to generate. Default value: `1`

  Range: `1` to `4`
</ParamField>

<ParamField body="output_format" type="OutputFormatEnum" default="jpeg">
  The format of the generated image. Default value: `"jpeg"`

  Possible values: `jpeg`, `png`
</ParamField>

<ParamField body="safety_tolerance" type="SafetyToleranceEnum" default="2">
  The safety tolerance level for the generated image. 1 being the most strict and 5 being the most permissive. Default value: `"2"`

  Possible values: `1`, `2`, `3`, `4`, `5`, `6`
</ParamField>

<ParamField body="enhance_prompt" type="boolean" default="false">
  Whether to enhance the prompt for better results.
</ParamField>

<ParamField body="image_url" type="string">
  The image URL to generate an image from.
</ParamField>

<ParamField body="image_prompt_strength" type="float" default="0.1">
  The strength of the image prompt, between 0 and 1. Default value: `0.1`

  Range: `0` to `1`
</ParamField>

<ParamField body="aspect_ratio" type="Enum | string" default="16:9">
  The aspect ratio of the generated image. Default value: `16:9`

  Possible values: `21:9`, `16:9`, `4:3`, `3:2`, `1:1`, `2:3`, `3:4`, `9:16`, `9:21`
</ParamField>

<ParamField body="raw" type="boolean" default="false">
  Generate less processed, more natural-looking images.
</ParamField>

<ParamField body="finetune_id" type="string" required>
  References your specific model
</ParamField>

<ParamField body="finetune_strength" type="float" required>
  Controls finetune influence.
  Increase this value if your target concept isn't showing up strongly enough.
  The optimal setting depends on your finetune and prompt

  Range: `0` to `2`
</ParamField>

### Output Schema

<ParamField body="images" type="list<registry__image__fast_sdxl__models__Image>" required>
  The generated image files info.
</ParamField>

<ParamField body="timings" type="Timings" required />

<ParamField body="seed" type="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.
</ParamField>

<ParamField body="has_nsfw_concepts" type="list<boolean>" required>
  Whether the generated images contain NSFW concepts.
</ParamField>

<ParamField body="prompt" type="string" required>
  The prompt used for generating the image.
</ParamField>

## Input Example

```json theme={null}
{
  "prompt": "Extreme close-up of a single tiger eye, direct frontal view. Detailed iris and pupil. Sharp focus on eye texture and color. Natural lighting to capture authentic eye shine and depth. The word \"FLUX\" is painted over it in big, white brush strokes with visible texture.",
  "sync_mode": false,
  "num_images": 1,
  "output_format": "jpeg",
  "safety_tolerance": "2",
  "enhance_prompt": false,
  "image_prompt_strength": 0.1,
  "aspect_ratio": "16:9",
  "raw": false,
  "finetune_id": ""
}
```

## Output Example

```json theme={null}
{
  "images": [
    {
      "url": "",
      "content_type": "image/jpeg"
    }
  ],
  "prompt": ""
}
```

## Limitations

* `num_images` range: 1 to 4
* `output_format` restricted to: `jpeg`, `png`
* `safety_tolerance` restricted to: `1`, `2`, `3`, `4`, `5`, `6`
* `image_prompt_strength` range: 0 to 1
* `finetune_strength` range: 0 to 2