Name: FLUX.1 Seamless Texture LoRA Generator API
Brand: magicapi
SKU: api-magicapi-seamless-texture-generator-flux-lora
Availability: InStock
Author: API Market

Shashank Agarwal

# 🧱 Seamless Texture Generator API (FLUX.1 Seamless Texture LoRA)

## Overview
This API generates seamless textures (surfaces such as leaves, stone, wood or fabric) from a text prompt. It runs Black Forest Labs' FLUX image model (`dev` or `schnell`) with a LoRA trained on seamless textures. Start the prompt with the trigger word `FSTL` to activate the trained style.

Send a `prompt` and the API returns a list of image URLs, one per output (`num_outputs`, 1 to 4). You can also pass an `image` for image-to-image generation, or an `image` plus a `mask` for inpainting, and load an extra LoRA on top of the texture LoRA.

## Features
- **Texture LoRA**: put `FSTL` in the prompt (for example `FSTL A dense carpet of autumn leaves in red and orange hues, seamless texture`) to get the trained seamless texture look. `lora_scale` (-1 to 3, default `1`) sets its strength.
- **Two base models**: `model` `dev` (default, best with about 28 steps) or `schnell` (needs only about 4 steps).
- **Up to 4 images per request**: set `num_outputs` from 1 to 4.
- **Image-to-image and inpainting**: pass `image` with `prompt_strength` (0 to 1, default `0.8`), and add `mask` to repaint only part of the image.
- **Aspect ratios**: `1:1` (default), `16:9`, `21:9`, `3:2`, `2:3`, `4:5`, `5:4`, `3:4`, `4:3`, `9:16`, `9:21`, or `custom` with `width` and `height` (256 to 1440, rounded to the nearest multiple of 16).
- **Image size**: `megapixels` `1` (default) or `0.25`.
- **Extra LoRA**: load a second LoRA with `extra_lora` and set its strength with `extra_lora_scale`.
- **Output formats**: `webp` (default), `jpg` or `png`, with `output_quality` 0 to 100 for lossy formats.
- **Speed mode**: `go_fast` runs a speed-optimized (fp8 quantized) model instead of the original bf16 model.
- **Seed**: set `seed` to reproduce a result.

## Use Cases
1. **Game and 3D materials**: ground, wall and foliage textures to tile across surfaces.
2. **Backgrounds and patterns**: repeating backgrounds for web pages, slides and print.
3. **Material variations**: generate up to 4 versions of a texture in one request and pick the best.
4. **Mockups**: quick surface textures for product and interior concepts.

## Visual Examples
### Example Input
Prompt: "FSTL A dense carpet of autumn leaves in red and orange hues, seamless texture"

Settings: `model` `dev`, `num_outputs` `1`, `aspect_ratio` `1:1`, `megapixels` `1`, `num_inference_steps` `28`, `guidance_scale` `3`, `lora_scale` `1`, `extra_lora_scale` `1`, `prompt_strength` `0.8`, `go_fast` `false`, `output_format` `webp`, `output_quality` `80`.

### Example Output
![Seamless texture output: a dense carpet of red and orange autumn leaves](https://blog.api.market/wp-content/uploads/2026/11/seamless-texture-output-4aesmne6-api-market.webp)

## Input Parameters
| Field | Type | Required | Default | Allowed values | Description |
| --- | --- | --- | --- | --- | --- |
| `prompt` | string | Yes |  |  | Prompt for the generated image. Include the trigger word `FSTL` to activate the trained seamless texture style. |
| `image` | string (URL) | No | none |  | Input image for image-to-image or inpainting mode. If provided, `aspect_ratio`, `width` and `height` are ignored. |
| `mask` | string (URL) | No | none |  | Image mask for inpainting mode. If provided, `aspect_ratio`, `width` and `height` are ignored. |
| `aspect_ratio` | string | No | `1:1` | `1:1`, `16:9`, `21:9`, `3:2`, `2:3`, `4:5`, `5:4`, `3:4`, `4:3`, `9:16`, `9:21`, `custom` | Aspect ratio of the generated image. `custom` uses `width` and `height` and runs in bf16 mode. |
| `height` | integer | No | none | 256 to 1440 | Height of the generated image. Only used when `aspect_ratio` is `custom`. Rounded to the nearest multiple of 16. Not compatible with `go_fast`. |
| `width` | integer | No | none | 256 to 1440 | Width of the generated image. Only used when `aspect_ratio` is `custom`. Rounded to the nearest multiple of 16. Not compatible with `go_fast`. |
| `prompt_strength` | number | No | `0.8` | 0 to 1 | Prompt strength in image-to-image mode. 1.0 fully replaces the information in the input image. |
| `model` | string | No | `dev` | `dev`, `schnell` | Model to run. `dev` works best with about 28 inference steps; `schnell` needs only 4. |
| `num_outputs` | integer | No | `1` | 1 to 4 | Number of images to generate. |
| `num_inference_steps` | integer | No | `28` | 1 to 50 | Number of denoising steps. More steps can give more detail but take longer. |
| `guidance_scale` | number | No | `3` | 0 to 10 | Guidance scale for the diffusion process. Lower values can look more realistic; 2, 2.5, 3 and 3.5 are good values to try. |
| `seed` | integer | No | none |  | Random seed. Set it for reproducible generation. |
| `output_format` | string | No | `webp` | `webp`, `jpg`, `png` | Format of the output images. |
| `output_quality` | integer | No | `80` | 0 to 100 | Quality of the saved images. 100 is best. Not used for `png`. |
| `disable_safety_checker` | boolean | No | `false` |  | Disable the safety checker for generated images. |
| `go_fast` | boolean | No | `false` |  | Run a speed-optimized model (fp8 quantized). Set to `false` for the original bf16 model. |
| `megapixels` | string | No | `1` | `1`, `0.25` | Approximate number of megapixels of the generated image. |
| `lora_scale` | number | No | `1` | -1 to 3 | Strength of the texture LoRA. Values between 0 and 1 work well for normal runs; with `go_fast` the value is multiplied by 1.5. |
| `extra_lora` | string | No | none |  | Extra LoRA weights to load: a HuggingFace model (huggingface.co/owner/model-name), a CivitAI model (civitai.com/models/id) or a direct .safetensors file URL. |
| `extra_lora_scale` | number | No | `1` | -1 to 3 | Strength of the extra LoRA. Values between 0 and 1 work well for normal runs; with `go_fast` the value is multiplied by 1.5. |

## Pricing
- **Pay As You Go (PAYG) pricing**: you only pay for what you use.
- **Price**: $0.015 per API unit.
- **1 API unit = one request with up to 8 seconds of processing.** A request that processes longer bills one more unit for every started block of 8 seconds (for example 12 seconds = 2 units = $0.03).
- More images (`num_outputs`), more `num_inference_steps` and larger images take longer to process and can use more units.
- **Example cost**: the example request above processed for 12.5 seconds, which is 2 units, so it cost $0.03.
- **Failed or cancelled predictions are not billed.**
- **GET requests to check prediction status** are free and don't count toward API unit usage.
- **No monthly subscription fee.**

## API Documentation

### Base URL
All API requests go to: `https://prod.api.market/api/v1/magicapi/seamless-texture-generator-flux-lora`

### Authentication
Send your api.market API key in the `x-api-market-key` header:
```
x-api-market-key: YOUR_API_MARKET_KEY
```

### Asynchronous Processing
**IMPORTANT**: This API is asynchronous. The flow is:
1. Send a POST request to `/predictions`. A successful request returns **201 Created** with a prediction `id` and a `status` of `starting` or `processing`.
2. Poll GET `/predictions/{id}` with that ID.
3. Keep polling while `status` is `starting` or `processing`.
4. Stop when `status` is `succeeded` (read `output`), `failed` or `canceled` (read `error`).

A polling interval of 1 second and an overall timeout of 600 seconds (10 minutes) work well.

### Endpoints

#### Create a Prediction
```bash
curl -X POST "https://prod.api.market/api/v1/magicapi/seamless-texture-generator-flux-lora/predictions" \
  -H "Content-Type: application/json" \
  -H "x-api-market-key: YOUR_API_MARKET_KEY" \
  -d '{
    "version": "9a59c0dce189bfe8a7fcb379c497713500ff959652c4e7874023f15983dec839",
    "input": {
      "model": "dev",
      "prompt": "FSTL A dense carpet of autumn leaves in red and orange hues, seamless texture",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3,
      "output_quality": 80,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }'
```

Response (201 Created):
```json
{
  "id": "4aesmne6h9rmw0d1mvp8c1f7zw",
  "version": "9a59c0dce189bfe8a7fcb379c497713500ff959652c4e7874023f15983dec839",
  "status": "starting",
  "created_at": "2026-11-04T14:18:17.610Z"
}
```

#### Check Prediction Status
```bash
curl -X GET "https://prod.api.market/api/v1/magicapi/seamless-texture-generator-flux-lora/predictions/{id}" \
  -H "x-api-market-key: YOUR_API_MARKET_KEY"
```

Response when the prediction has finished (200 OK):
```json
{
  "id": "4aesmne6h9rmw0d1mvp8c1f7zw",
  "status": "succeeded",
  "output": [
    "https://blog.api.market/wp-content/uploads/2026/11/seamless-texture-output-4aesmne6-api-market.webp"
  ],
  "error": null,
  "created_at": "2026-11-04T14:18:17.610Z",
  "started_at": "2026-11-04T14:18:17.835Z",
  "completed_at": "2026-11-04T14:18:30.325Z"
}
```

`output` is a list of image URLs, one for each of the `num_outputs` images.

### Status Codes
- **201 Created**: prediction created (POST `/predictions`). This is the normal success response.
- **200 OK**: prediction details returned (GET `/predictions/{id}`).
- **400 Bad Request**: invalid input, for example a missing `prompt` or a `num_outputs` above 4.
- **401 Unauthorized**: missing or invalid API key.
- **404 Not Found**: no prediction with that ID.
- **429 Too Many Requests**: rate limit exceeded.
- **500 Internal Server Error** or **503 Service Unavailable**: temporary server problem; retry later.

## Rate Limits
Requests are rate limited to keep usage fair. If you receive a 429 response, wait and retry with exponential backoff.

## Error Handling
- Check the HTTP status code of every request and read the response body for the error message.
- A prediction can also end with `status` set to `failed`; the `error` field then explains why. Failed predictions are not billed.
- Retry 429, 500 and 503 responses with exponential backoff. Fix the input before retrying a 400.

## Implementation Guide
### Example Code

#### JavaScript
```javascript
const apiKey = "YOUR_API_MARKET_KEY";
const baseUrl = "https://prod.api.market/api/v1/magicapi/seamless-texture-generator-flux-lora";

async function createAndWaitForPrediction(input) {
  const response = await fetch(`${baseUrl}/predictions`, {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      "x-api-market-key": apiKey
    },
    body: JSON.stringify({ version: "9a59c0dce189bfe8a7fcb379c497713500ff959652c4e7874023f15983dec839", input })
  });

  if (response.status !== 201) {
    throw new Error(`API error: ${response.status} ${await response.text()}`);
  }

  const prediction = await response.json();
  return pollForResults(prediction.id);
}

const delay = (ms) => new Promise((resolve) => setTimeout(resolve, ms));

async function pollForResults(predictionId) {
  const maxTimeout = 600000;
  const pollInterval = 1000;
  const startTime = Date.now();

  while (Date.now() - startTime < maxTimeout) {
    const response = await fetch(`${baseUrl}/predictions/${predictionId}`, {
      headers: { "x-api-market-key": apiKey }
    });

    if (!response.ok) {
      throw new Error(`API error: ${response.status} ${await response.text()}`);
    }

    const prediction = await response.json();

    if (prediction.status === "succeeded") {
      return prediction.output;
    }

    if (prediction.status === "failed" || prediction.status === "canceled") {
      throw new Error(`Prediction ${prediction.status}: ${prediction.error || "Unknown error"}`);
    }

    await delay(pollInterval);
  }

  throw new Error("Prediction timed out after 10 minutes");
}

createAndWaitForPrediction({
  model: "dev",
  prompt: "FSTL A dense carpet of autumn leaves in red and orange hues, seamless texture",
  go_fast: false,
  lora_scale: 1,
  megapixels: "1",
  num_outputs: 1,
  aspect_ratio: "1:1",
  output_format: "webp",
  guidance_scale: 3,
  output_quality: 80,
  prompt_strength: 0.8,
  extra_lora_scale: 1,
  num_inference_steps: 28
}).then((urls) => urls.forEach((url) => console.log(url)));
```

#### Python
```python
import time
import requests

API_KEY = "YOUR_API_MARKET_KEY"
BASE_URL = "https://prod.api.market/api/v1/magicapi/seamless-texture-generator-flux-lora"


def create_and_wait_for_prediction(input_data):
    headers = {"Content-Type": "application/json", "x-api-market-key": API_KEY}
    response = requests.post(
        f"{BASE_URL}/predictions",
        headers=headers,
        json={"version": "9a59c0dce189bfe8a7fcb379c497713500ff959652c4e7874023f15983dec839", "input": input_data},
    )

    if response.status_code != 201:
        raise Exception(f"API error: {response.status_code} {response.text}")

    return poll_for_results(response.json()["id"])


def poll_for_results(prediction_id):
    max_timeout = 600
    poll_interval = 1
    headers = {"x-api-market-key": API_KEY}
    start_time = time.time()

    while time.time() - start_time < max_timeout:
        response = requests.get(f"{BASE_URL}/predictions/{prediction_id}", headers=headers)

        if response.status_code != 200:
            raise Exception(f"API error: {response.status_code} {response.text}")

        prediction = response.json()

        if prediction["status"] == "succeeded":
            return prediction["output"]

        if prediction["status"] in ("failed", "canceled"):
            raise Exception(f"Prediction {prediction['status']}: {prediction.get('error') or 'Unknown error'}")

        time.sleep(poll_interval)

    raise Exception("Prediction timed out after 10 minutes")


for url in create_and_wait_for_prediction({
    "model": "dev",
    "prompt": "FSTL A dense carpet of autumn leaves in red and orange hues, seamless texture",
    "go_fast": False,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28,
}):
    print(url)
```

## FAQ
- **Do I need the word FSTL in my prompt?**
  - It is the trigger word of the texture LoRA. Prompts that include it are more likely to get the trained seamless texture style.
- **How many images does one request return?**
  - As many as `num_outputs` (1 to 4, default 1). `output` is always a list of URLs.
- **How much does a request cost?**
  - $0.015 for each started block of 8 seconds of processing. The example (one 1-megapixel image, 28 steps on `dev`) took 12.5 seconds and cost $0.03. Fewer steps with `schnell`, a smaller `megapixels` value or `go_fast` shorten processing.
- **Can I use my own LoRA as well?**
  - Yes. Set `extra_lora` to a HuggingFace model, a CivitAI model or a .safetensors URL, and set its strength with `extra_lora_scale`.
- **Can I turn an existing photo into a texture?**
  - You can pass it as `image` and describe the texture in `prompt`; `prompt_strength` controls how much changes. Add a `mask` to repaint only part of it.
- **Is the 201 response from POST an error?**
  - No. 201 Created means the prediction was accepted. Use the returned `id` to poll GET `/predictions/{id}` until `status` is `succeeded`, `failed` or `canceled`.

## Contact Us
If you have any questions, reach out to us through the chat on the bottom right of the page.


Generate seamless textures for games, 3D materials and backgrounds from text with a FLUX texture LoRA, up to 4 images per request. $0.015 per 8 seconds of processing, pay as you go.