Catalog/Image/fal

FLUX 3 Klein Text to Image LoRA

Liveby Black Forest Labs

Generate images fast with distilled FLUX 3 Image Klein and up to 3 custom LoRAs.

Guide: Image generation API prices

Ask your agent

Say it in your own words. Your agent picks this tool, fills in the details and brings back the answer.

CodexClaude CodeAny agent with a terminal

Make an image with FLUX 3 Klein Text to Image LoRA: a cozy coffee shop in São Paulo at golden hour.

More examples

Create a product photo of our new sneaker on a white background.

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How it works

Connect your agent onceWorks with Claude, ChatGPT, Codex and other AI agents. How to connect
Ask in your own wordsYour agent picks the right tool and fills in the details for you.
Pay only when it worksEach use comes out of your balance. If it fails, you aren't charged.

For developersSummary, tool id, API call, input and output

Image generation API by Black Forest Labs, callable through Superpowers. It costs $0.013 per megapixel, charged only when the call succeeds. Call it with one API key: POST /v1/run with "tool": "fal.blackforestlabs-flux-3-klein-text-to-image-lora", or over MCP with run_tool. 98 other providers in this category take the same input and can be compared side by side.

Tool id
Price per call: $0.013 / megapixel

Call it

Also over MCP as run_tool

curl -X POST https://superpowers.tools/v1/run \
  -H 'Authorization: Bearer $SP_KEY' \
  -d '{"tool":"fal.blackforestlabs-flux-3-klein-text-to-image-lora","input":{"prompt":""},"idempotency_key":"example-request-1"}'

Input

10 fields · 1 required

{
  "type": "object",
  "required": [
    "prompt"
  ],
  "properties": {
    "seed": {
      "type": "integer",
      "description": "The same seed and the same prompt given to the same version of the model will output the same image every time."
    },
    "image_size": {
      "type": "string",
      "description": "The size of the generated image. Each side can be 256 to 4096 pixels (native 4K).",
      "default": "square_hd",
      "enum": [
        "square_hd",
        "square",
        "portrait_4_3",
        "portrait_16_9",
        "landscape_4_3",
        "landscape_16_9"
      ]
    },
    "output_format": {
      "type": "string",
      "description": "The format of the generated image.",
      "default": "png",
      "enum": [
        "jpeg",
        "png",
        "webp"
      ]
    },
    "loras": {
      "type": "array",
      "description": "LoRA weights to apply (maximum 3).",
      "default": []
    },
    "num_images": {
      "type": "integer",
      "description": "The number of images to generate.",
      "default": 1
    },
    "enable_safety_checker": {
      "type": "boolean",
      "description": "If set to true, the safety checker will be enabled.",
      "default": true
    },
    "bounding_boxes": {
      "type": "array",
      "description": "Optional layout: draw each described object inside its box. Box edges are fractions of the image size, with (0, 0) at the top-left. Name boxes in the prompt by label, e.g. `A red fox <fox> sits under a red umbrella <umbrella>`."
    },
    "prompt": {
      "type": "string",
      "description": "The prompt to generate an image from. The model is trained on detailed captions: describe framing, subject, background and lighting."
    },
    "sync_mode": {
      "type": "boolean",
      "description": "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
    },
    "enable_prompt_expansion": {
      "type": "boolean",
      "description": "If set to true, the prompt is expanded into a detailed caption (grounded in the reference images when editing) before generation.",
      "default": true
    }
  }
}

Normalized output

Example for this type of tool

The shape tools of this type share in normalized. Agents read it from GET /v1/tools/fal.blackforestlabs-flux-3-klein-text-to-image-lora or MCP inspect_tool.

{
  "type": "object",
  "properties": {
    "images": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "url": {
            "type": "string"
          }
        },
        "required": [
          "url"
        ]
      }
    }
  },
  "required": [
    "images"
  ]
}