> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-docs-router-model-page-pilot.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Use Flux 1.1 Pro Ultra Image with Comfy Router

> Python, TypeScript and cURL snippets for calling FLUX 1.1 [pro] Ultra and FLUX 1.1 [pro] over HTTP through Comfy Router, plus the request fields and the result shape

API Reference for Flux 1.1 Pro Ultra Image. FLUX 1.1 \[pro] is a text-to-image model from Black Forest Labs. Ultra mode generates images at up to 4MP resolution.

<Note>
  **Comfy Router is not generally available yet.** `POST /v2/models/{provider}/{model}` and its catalog and schema siblings are not serving requests yet: an authenticated call answers `404` today. The snippets on this page document the contract those routes will serve, published ahead of the rollout so your integration is ready to write against.
</Note>

## Quick start

Create a key at [platform.comfy.org/profile/api-keys](https://platform.comfy.org/profile/api-keys) and export it as `COMFY_API_KEY`. The Python and TypeScript snippets use the Comfy SDKs (`pip install comfy-sdk`, `npm install @comfyorg/sdk`); the cURL snippet is the same call over raw HTTP.

Pick the model you want to call. Everything below, from the snippets to the schema and examples, follows your choice.

<Tabs>
  <Tab title="FLUX 1.1 [pro] Ultra">
    **Model ID:** `bfl/flux-pro-1.1-ultra`

    **Endpoint:** `POST https://api.comfy.org/v2/models/bfl/flux-pro-1.1-ultra`

    <CodeGroup>
      ```python Python theme={null}
      from comfy_sdk import Comfy

      # Reads COMFY_API_KEY from the environment. Each call sends a fresh
      # Idempotency-Key and waits up to 10 minutes for the finished result.
      with Comfy() as client:
          result = client.models.run(
              "bfl/flux-pro-1.1-ultra",
              {
                  "prompt": "a single red maple leaf on a plain white background, studio lighting",
                  "aspect_ratio": "16:9",
                  "raw": False,
              },
          )

      print("image:", result["result"]["sample"])
      ```

      ```typescript TypeScript theme={null}
      import { comfy } from "@comfyorg/sdk";

      // Reads COMFY_API_KEY from the environment. Each call sends a fresh
      // Idempotency-Key and waits up to 10 minutes for the finished result.
      type Result = { result: { sample: string } };
      const { data } = await comfy.models.run<Result>("bfl/flux-pro-1.1-ultra", {
        prompt: "a single red maple leaf on a plain white background, studio lighting",
        aspect_ratio: "16:9",
        raw: false,
      });

      console.log("image:", data.result.sample);
      ```

      ```bash cURL theme={null}
      curl https://api.comfy.org/v2/models/bfl/flux-pro-1.1-ultra \
        -H "X-API-Key: $COMFY_API_KEY" \
        -H "Idempotency-Key: $(uuidgen)" \
        -H "Content-Type: application/json" \
        -d "{\"prompt\": \"a single red maple leaf on a plain white background, studio lighting\", \"aspect_ratio\": \"16:9\", \"raw\": false}"
      ```
    </CodeGroup>

    <h2>Schema</h2>

    <h3>Input</h3>

    *Fields follow Black Forest Labs' published API specification and are checked against it in CI. Router's own schema for this model is not published yet, so requests are forwarded to the provider unvalidated.*

    <ParamField body="prompt" type="string">
      Text description of the image to generate. Optional in the schema (defaults to an empty prompt), required in practice.
    </ParamField>

    <ParamField body="aspect_ratio" type="string" default="&#x22;16:9&#x22;">
      Output aspect ratio, from `21:9` to `9:21`.
    </ParamField>

    <ParamField body="raw" type="boolean" default="false">
      Generate with the less processed, more natural aesthetic.
    </ParamField>

    <ParamField body="image_prompt" type="string">
      Optional base64 image to blend with the prompt.
    </ParamField>

    <ParamField body="image_prompt_strength" type="number" default="0.1">
      How strongly `image_prompt` steers the result.

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

    <ParamField body="seed" type="integer">
      Seed for reproducible results. Omit for random.
    </ParamField>

    <ParamField body="safety_tolerance" type="integer" default="2">
      Moderation tolerance for inputs and outputs. 0 is strictest.

      Range: `0` to `6`
    </ParamField>

    <ParamField body="output_format" type="string" default="&#x22;jpeg&#x22;">
      Format of the returned image.

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

    <ParamField body="prompt_upsampling" type="boolean" default="false">
      Rewrite the prompt for richer results. Results are not reproducible when enabled.
    </ParamField>

    <h3>Output</h3>

    Router returns Black Forest Labs' native response unchanged. The image is at `result.sample`.

    <ResponseField name="id" type="string" required>
      BFL task id for this generation.
    </ResponseField>

    <ResponseField name="status" type="string" required>
      Terminal task status. Router only returns once this is `Ready`.

      Possible values: `Ready`
    </ResponseField>

    <ResponseField name="result" type="object" required />

    <ResponseField name="result.sample" type="string (uri)" required>
      Signed URL of the generated image. Temporary: download it promptly.

      Format: `uri`
    </ResponseField>

    <ResponseField name="result.prompt" type="string">
      The prompt that was run, after any upsampling.
    </ResponseField>

    <ResponseField name="result.seed" type="integer">
      Seed used for this generation.
    </ResponseField>

    <h2>Examples</h2>

    <h3>Input</h3>

    ```json theme={null}
    {
      "prompt": "a single red maple leaf on a plain white background, studio lighting",
      "aspect_ratio": "16:9",
      "raw": false
    }
    ```

    <h3>Output</h3>

    ```json theme={null}
    {
      "id": "0a1b2c3d-...",
      "status": "Ready",
      "result": {
        "sample": "https://.../out.jpeg",
        "prompt": "a single red maple leaf on a plain white background, studio lighting",
        "seed": 1234567890
      }
    }
    ```

    The URL is temporary. Download the image promptly if you need to keep it.
  </Tab>

  <Tab title="FLUX 1.1 [pro]">
    **Model ID:** `bfl/flux-pro-1.1`

    **Endpoint:** `POST https://api.comfy.org/v2/models/bfl/flux-pro-1.1`

    <CodeGroup>
      ```python Python theme={null}
      from comfy_sdk import Comfy

      # Reads COMFY_API_KEY from the environment. Each call sends a fresh
      # Idempotency-Key and waits up to 10 minutes for the finished result.
      with Comfy() as client:
          result = client.models.run(
              "bfl/flux-pro-1.1",
              {
                  "prompt": "a single red maple leaf on a plain white background, studio lighting",
                  "width": 1024,
                  "height": 768,
              },
          )

      print("image:", result["result"]["sample"])
      ```

      ```typescript TypeScript theme={null}
      import { comfy } from "@comfyorg/sdk";

      // Reads COMFY_API_KEY from the environment. Each call sends a fresh
      // Idempotency-Key and waits up to 10 minutes for the finished result.
      type Result = { result: { sample: string } };
      const { data } = await comfy.models.run<Result>("bfl/flux-pro-1.1", {
        prompt: "a single red maple leaf on a plain white background, studio lighting",
        width: 1024,
        height: 768,
      });

      console.log("image:", data.result.sample);
      ```

      ```bash cURL theme={null}
      curl https://api.comfy.org/v2/models/bfl/flux-pro-1.1 \
        -H "X-API-Key: $COMFY_API_KEY" \
        -H "Idempotency-Key: $(uuidgen)" \
        -H "Content-Type: application/json" \
        -d "{\"prompt\": \"a single red maple leaf on a plain white background, studio lighting\", \"width\": 1024, \"height\": 768}"
      ```
    </CodeGroup>

    <h2>Schema</h2>

    <h3>Input</h3>

    *Fields follow Black Forest Labs' published API specification and are checked against it in CI. Router's own schema for this model is not published yet, so requests are forwarded to the provider unvalidated.*

    <ParamField body="prompt" type="string">
      Text description of the image to generate. Optional in the schema (defaults to an empty prompt), required in practice.
    </ParamField>

    <ParamField body="width" type="integer" default="1024">
      Output width in pixels, a multiple of 32.

      Range: `256` to `1440`
    </ParamField>

    <ParamField body="height" type="integer" default="768">
      Output height in pixels, a multiple of 32.

      Range: `256` to `1440`
    </ParamField>

    <ParamField body="prompt_upsampling" type="boolean" default="false">
      Rewrite the prompt for richer results. Results are not reproducible when enabled.
    </ParamField>

    <ParamField body="image_prompt" type="string">
      Optional base64 image to use as an image prompt.
    </ParamField>

    <ParamField body="seed" type="integer">
      Seed for reproducible results. Omit for random.
    </ParamField>

    <ParamField body="safety_tolerance" type="integer" default="2">
      Moderation tolerance for inputs and outputs. 0 is strictest.

      Range: `0` to `6`
    </ParamField>

    <ParamField body="output_format" type="string" default="&#x22;jpeg&#x22;">
      Format of the returned image.

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

    <h3>Output</h3>

    Router returns Black Forest Labs' native response unchanged. The image is at `result.sample`.

    <ResponseField name="id" type="string" required>
      BFL task id for this generation.
    </ResponseField>

    <ResponseField name="status" type="string" required>
      Terminal task status. Router only returns once this is `Ready`.

      Possible values: `Ready`
    </ResponseField>

    <ResponseField name="result" type="object" required />

    <ResponseField name="result.sample" type="string (uri)" required>
      Signed URL of the generated image. Temporary: download it promptly.

      Format: `uri`
    </ResponseField>

    <ResponseField name="result.prompt" type="string">
      The prompt that was run, after any upsampling.
    </ResponseField>

    <ResponseField name="result.seed" type="integer">
      Seed used for this generation.
    </ResponseField>

    <h2>Examples</h2>

    <h3>Input</h3>

    ```json theme={null}
    {
      "prompt": "a single red maple leaf on a plain white background, studio lighting",
      "width": 1024,
      "height": 768
    }
    ```

    <h3>Output</h3>

    ```json theme={null}
    {
      "id": "0a1b2c3d-...",
      "status": "Ready",
      "result": {
        "sample": "https://.../out.jpeg",
        "prompt": "a single red maple leaf on a plain white background, studio lighting",
        "seed": 1234567890
      }
    }
    ```

    The URL is temporary. Download the image promptly if you need to keep it.
  </Tab>
</Tabs>

## Before you ship

The snippets above are the shortest working call. Three things are the same for every model and are documented once on the [Comfy Router headers](/development/comfy-router/headers) page: send an `Idempotency-Key` on every paid call and reuse it when you retry, expect the connection to be held up to Router's 10 minute deadline, and keep `X-Comfy-Request-Id` from every response. The SDKs do all three for you; the cURL tab does none of them. On failure, `X-Comfy-Error-Type` names the bucket, and a `422` means the body failed the model's schema and was never billed.

<CardGroup cols={3}>
  <Card title="Headers" icon="list" href="/development/comfy-router/headers">
    Authentication, idempotency, request IDs, error buckets, retry pacing, spend limits.
  </Card>

  <Card title="Quickstart" icon="rocket" href="/development/comfy-router/quickstart">
    Typed error handling in Python and TypeScript, reading the 422, walking the catalog.
  </Card>

  <Card title="Limitations" icon="triangle-exclamation" href="/development/comfy-router/limitations">
    What Router does not do today, and what to use instead.
  </Card>
</CardGroup>