> ## 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.

# Z Image Turbo Tiling API

> API reference for Z Image Turbo Tiling. Generate seamlessly tiling photorealistic images from text using Z-Image Turbo

<Tabs>
  <Tab title="Tiling">
    **Endpoint:** `POST https://fal.run/fal-ai/z-image/turbo/tiling`
    **Endpoint ID:** `fal-ai/z-image/turbo/tiling`

    <Card title="Try it in the Playground" icon="play" href="https://fal.ai/models/fal-ai/z-image/turbo/tiling/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/z-image/turbo/tiling",
          arguments={
              "prompt": "A hyper-realistic, high-resolution 4k texture of an ancient weathered brick wall heavily overgrown with lush green moss and soft lichens. The bricks are aged, featuring deep earthy tones, natural cracks, and gritty textures. Vibrant emerald moss fills the mortar lines and spills over the rough surfaces of the stones. Uniform, flat cinematic lighting ensures no harsh shadows, highlighting the intricate organic details and damp stone surfaces. The composition is a perfectly balanced overhead view, showcasing a rich tapestry of botanical growth and masonry craftsmanship with professional clarity and hyper-detailed grit."
          },
          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/z-image/turbo/tiling", {
        input: {
            prompt: "A hyper-realistic, high-resolution 4k texture of an ancient weathered brick wall heavily overgrown with lush green moss and soft lichens. The bricks are aged, featuring deep earthy tones, natural cracks, and gritty textures. Vibrant emerald moss fills the mortar lines and spills over the rough surfaces of the stones. Uniform, flat cinematic lighting ensures no harsh shadows, highlighting the intricate organic details and damp stone surfaces. The composition is a perfectly balanced overhead view, showcasing a rich tapestry of botanical growth and masonry craftsmanship with professional clarity and hyper-detailed grit."
          },
        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/z-image/turbo/tiling \
        --header "Authorization: Key $FAL_KEY" \
        --header "Content-Type: application/json" \
        --data '{
        "prompt": "A hyper-realistic, high-resolution 4k texture of an ancient weathered brick wall heavily overgrown with lush green moss and soft lichens. The bricks are aged, featuring deep earthy tones, natural cracks, and gritty textures. Vibrant emerald moss fills the mortar lines and spills over the rough surfaces of the stones. Uniform, flat cinematic lighting ensures no harsh shadows, highlighting the intricate organic details and damp stone surfaces. The composition is a perfectly balanced overhead view, showcasing a rich tapestry of botanical growth and masonry craftsmanship with professional clarity and hyper-detailed grit."
      }'
      ```
    </CodeGroup>

    ### Input Schema

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

    <ParamField body="image_size" type="ImageSize | Enum" default="square_hd">
      The size of the generated image. Use 'auto' to match the input image size (or 1024x1024 if no image). Default value: `square_hd`

      Possible values: `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9`, `auto`
    </ParamField>

    <ParamField body="num_inference_steps" type="integer" default="8">
      The number of inference steps to perform. Default value: `8`

      Range: `1` to `8`
    </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="enable_safety_checker" type="boolean" default="true">
      If set to true, the safety checker will be enabled. Default value: `true`
    </ParamField>

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

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

    <ParamField body="acceleration" type="AccelerationEnum" default="regular">
      The acceleration level to use. Default value: `"regular"`

      Possible values: `none`, `regular`, `high`
    </ParamField>

    <ParamField body="enable_prompt_expansion" type="boolean" default="false">
      Whether to enable prompt expansion. Note: this will increase the price by 0.0025 credits per request.
    </ParamField>

    <ParamField body="image_url" type="string">
      URL of an image for image-to-image or inpainting. When provided without mask\_image\_url, performs image-to-image; with mask\_image\_url, performs inpainting.
    </ParamField>

    <ParamField body="mask_image_url" type="string">
      URL of a mask image for inpainting. White regions are regenerated, black regions are preserved. Requires image\_url.
    </ParamField>

    <ParamField body="strength" type="float" default="0.6">
      How much to transform the input image. Only used when image\_url is provided. Default value: `0.6`
    </ParamField>

    <ParamField body="tile_size" type="integer" default="128">
      Tile size in latent space (64 = 512px, 128 = 1024px, 256 = 2048px). Default value: `128`

      Range: `32` to `256`
    </ParamField>

    <ParamField body="tile_stride" type="integer" default="64">
      Tile stride in latent space. (32 = 256px, 64 = 512px, 128 = 1024px). Default value: `64`

      Range: `16` to `128`
    </ParamField>

    <ParamField body="tiling_mode" type="TilingModeEnum" default="both">
      Tiling direction: 'both' (omnidirectional), 'horizontal' (left-right only), 'vertical' (top-bottom only). Default value: `"both"`

      Possible values: `both`, `horizontal`, `vertical`
    </ParamField>

    ### Output Schema

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

    <ParamField body="timings" type="Timings" required>
      The timings of the generation process.
    </ParamField>

    <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": "A hyper-realistic, high-resolution 4k texture of an ancient weathered brick wall heavily overgrown with lush green moss and soft lichens. The bricks are aged, featuring deep earthy tones, natural cracks, and gritty textures. Vibrant emerald moss fills the mortar lines and spills over the rough surfaces of the stones. Uniform, flat cinematic lighting ensures no harsh shadows, highlighting the intricate organic details and damp stone surfaces. The composition is a perfectly balanced overhead view, showcasing a rich tapestry of botanical growth and masonry craftsmanship with professional clarity and hyper-detailed grit.",
      "image_size": "square_hd",
      "num_inference_steps": 8,
      "sync_mode": false,
      "num_images": 1,
      "enable_safety_checker": true,
      "output_format": "png",
      "acceleration": "regular",
      "enable_prompt_expansion": false,
      "strength": 0.6,
      "tile_size": 128,
      "tile_stride": 64,
      "tiling_mode": "both"
    }
    ```

    ### Output Example

    ```json theme={null}
    {
      "images": [
        {
          "content_type": "image/png",
          "height": 2048,
          "url": "https://v3b.fal.media/files/b/0a9276c3/6KxxMb0bPmfNLH3DqcuSf_qRUe8cIL.png",
          "width": 2048
        }
      ],
      "prompt": ""
    }
    ```
  </Tab>

  <Tab title="Lora">
    **Endpoint:** `POST https://fal.run/fal-ai/z-image/turbo/tiling/lora`
    **Endpoint ID:** `fal-ai/z-image/turbo/tiling/lora`

    <Card title="Try it in the Playground" icon="play" href="https://fal.ai/models/fal-ai/z-image/turbo/tiling/lora/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/z-image/turbo/tiling/lora",
          arguments={
              "prompt": "A hyper-realistic, high-resolution 4k texture of an ancient weathered brick wall heavily overgrown with lush green moss and soft lichens. The bricks are aged, featuring deep earthy tones, natural cracks, and gritty textures. Vibrant emerald moss fills the mortar lines and spills over the rough surfaces of the stones. Uniform, flat cinematic lighting ensures no harsh shadows, highlighting the intricate organic details and damp stone surfaces. The composition is a perfectly balanced overhead view, showcasing a rich tapestry of botanical growth and masonry craftsmanship with professional clarity and hyper-detailed grit."
          },
          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/z-image/turbo/tiling/lora", {
        input: {
            prompt: "A hyper-realistic, high-resolution 4k texture of an ancient weathered brick wall heavily overgrown with lush green moss and soft lichens. The bricks are aged, featuring deep earthy tones, natural cracks, and gritty textures. Vibrant emerald moss fills the mortar lines and spills over the rough surfaces of the stones. Uniform, flat cinematic lighting ensures no harsh shadows, highlighting the intricate organic details and damp stone surfaces. The composition is a perfectly balanced overhead view, showcasing a rich tapestry of botanical growth and masonry craftsmanship with professional clarity and hyper-detailed grit."
          },
        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/z-image/turbo/tiling/lora \
        --header "Authorization: Key $FAL_KEY" \
        --header "Content-Type: application/json" \
        --data '{
        "prompt": "A hyper-realistic, high-resolution 4k texture of an ancient weathered brick wall heavily overgrown with lush green moss and soft lichens. The bricks are aged, featuring deep earthy tones, natural cracks, and gritty textures. Vibrant emerald moss fills the mortar lines and spills over the rough surfaces of the stones. Uniform, flat cinematic lighting ensures no harsh shadows, highlighting the intricate organic details and damp stone surfaces. The composition is a perfectly balanced overhead view, showcasing a rich tapestry of botanical growth and masonry craftsmanship with professional clarity and hyper-detailed grit."
      }'
      ```
    </CodeGroup>

    ### Input Schema

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

    <ParamField body="image_size" type="ImageSize | Enum" default="square_hd">
      The size of the generated image. Use 'auto' to match the input image size (or 1024x1024 if no image). Default value: `square_hd`

      Possible values: `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9`, `auto`
    </ParamField>

    <ParamField body="num_inference_steps" type="integer" default="8">
      The number of inference steps to perform. Default value: `8`

      Range: `1` to `8`
    </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="enable_safety_checker" type="boolean" default="true">
      If set to true, the safety checker will be enabled. Default value: `true`
    </ParamField>

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

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

    <ParamField body="acceleration" type="AccelerationEnum" default="regular">
      The acceleration level to use. Default value: `"regular"`

      Possible values: `none`, `regular`, `high`
    </ParamField>

    <ParamField body="enable_prompt_expansion" type="boolean" default="false">
      Whether to enable prompt expansion. Note: this will increase the price by 0.0025 credits per request.
    </ParamField>

    <ParamField body="image_url" type="string">
      URL of an image for image-to-image or inpainting. When provided without mask\_image\_url, performs image-to-image; with mask\_image\_url, performs inpainting.
    </ParamField>

    <ParamField body="mask_image_url" type="string">
      URL of a mask image for inpainting. White regions are regenerated, black regions are preserved. Requires image\_url.
    </ParamField>

    <ParamField body="strength" type="float" default="0.6">
      How much to transform the input image. Only used when image\_url is provided. Default value: `0.6`
    </ParamField>

    <ParamField body="tile_size" type="integer" default="128">
      Tile size in latent space (64 = 512px, 128 = 1024px, 256 = 2048px). Default value: `128`

      Range: `32` to `256`
    </ParamField>

    <ParamField body="tile_stride" type="integer" default="64">
      Tile stride in latent space. (32 = 256px, 64 = 512px, 128 = 1024px). Default value: `64`

      Range: `16` to `128`
    </ParamField>

    <ParamField body="tiling_mode" type="TilingModeEnum" default="both">
      Tiling direction: 'both' (omnidirectional), 'horizontal' (left-right only), 'vertical' (top-bottom only). Default value: `"both"`

      Possible values: `both`, `horizontal`, `vertical`
    </ParamField>

    <ParamField body="loras" type="list<LoRAInput>" default="">
      List of LoRA weights to apply (maximum 3).
    </ParamField>

    ### Output Schema

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

    <ParamField body="timings" type="Timings" required>
      The timings of the generation process.
    </ParamField>

    <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": "A hyper-realistic, high-resolution 4k texture of an ancient weathered brick wall heavily overgrown with lush green moss and soft lichens. The bricks are aged, featuring deep earthy tones, natural cracks, and gritty textures. Vibrant emerald moss fills the mortar lines and spills over the rough surfaces of the stones. Uniform, flat cinematic lighting ensures no harsh shadows, highlighting the intricate organic details and damp stone surfaces. The composition is a perfectly balanced overhead view, showcasing a rich tapestry of botanical growth and masonry craftsmanship with professional clarity and hyper-detailed grit.",
      "image_size": "square_hd",
      "num_inference_steps": 8,
      "sync_mode": false,
      "num_images": 1,
      "enable_safety_checker": true,
      "output_format": "png",
      "acceleration": "regular",
      "enable_prompt_expansion": false,
      "strength": 0.6,
      "tile_size": 128,
      "tile_stride": 64,
      "tiling_mode": "both",
      "loras": []
    }
    ```

    ### Output Example

    ```json theme={null}
    {
      "images": [
        {
          "content_type": "image/png",
          "height": 2048,
          "url": "https://v3b.fal.media/files/b/0a9276c3/6KxxMb0bPmfNLH3DqcuSf_qRUe8cIL.png",
          "width": 2048
        }
      ],
      "prompt": ""
    }
    ```
  </Tab>
</Tabs>

## Related

* [Z-Image Turbo](/model-api-reference/image-generation-api/z-image-turbo) — Image Generation
* [Z Image Base](/model-api-reference/image-generation-api/z-image-base) — Image Generation
* [Z Image Base (LoRA)](/model-api-reference/image-generation-api/z-image-base-lora) — Image Generation
* [Z-Image Turbo Seamless Tiling](/model-api-reference/image-generation-api/z-image-turbo-seamless-tiling) — Image Generation

## Limitations

* `image_size` restricted to: `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9`, `auto`
* `num_inference_steps` range: 1 to 8
* `num_images` range: 1 to 4
* `output_format` restricted to: `jpeg`, `png`, `webp`
* `acceleration` restricted to: `none`, `regular`, `high`
* `tile_size` range: 32 to 256
* `tile_stride` range: 16 to 128
* `tiling_mode` restricted to: `both`, `horizontal`, `vertical`
* Content moderation via safety checker