# Ideogram V4.0q Image to Image LoRA > Ideogram V4.0q Image-to-Image LoRA applies a custom-trained LoRA on top of an input image, steering edits toward a specific style, subject, or brand identity while keeping the source composition intact. ## Overview - **Endpoint**: `https://fal.run/ideogram/v4/image-to-image/lora` - **Model ID**: `ideogram/v4/image-to-image/lora` - **Category**: image-to-image - **Kind**: inference **Tags**: stylized, transform, realism ## Pricing - **Price**: $0.015 per images For more details, see [fal.ai pricing](https://fal.ai/pricing). ## API Information This model can be used via our HTTP API or more conveniently via our client libraries. See the input and output schema below, as well as the usage examples. ### Input Schema The API accepts the following input parameters: - **`prompt`** (`string`, _required_): The prompt to generate an image from. - Examples: "A red panda perched on a mossy branch in a misty forest at sunrise" - **`expansion_model`** (`ExpansionModelEnum`, _optional_): Which model expands the prompt. 'None' disables prompt expansion and skips its fee; 'Medium' is fast; 'Large' uses Ideogram's Magic Prompt for the highest quality. Default value: `"Medium"` - Default: `"Medium"` - Options: `"None"`, `"Medium"`, `"Large"` - Examples: "Large" - **`image_size`** (`ImageSize | Enum`, _optional_): The output image size. Use 'auto' to match the input image size (capped at ~25MP, up to 8192px per side). Default value: `auto` - Default: `"auto"` - One of: ImageSize | Enum - **`rendering_speed`** (`RenderingSpeedEnum`, _optional_): The rendering speed to use. Faster speeds use fewer denoising steps. Default value: `"BALANCED"` - Default: `"BALANCED"` - Options: `"TURBO"`, `"BALANCED"`, `"QUALITY"` - **`acceleration`** (`AccelerationEnum`, _optional_): The acceleration level to use for the image generation. Default value: `"none"` - Default: `"none"` - Options: `"none"`, `"low"`, `"regular"`, `"high"` - Examples: "none" - **`num_images`** (`integer`, _optional_): Number of images to generate. Default value: `1` - Default: `1` - Range: `1` to `4` - **`seed`** (`integer`, _optional_): The seed to use for generation. If not provided, a random seed will be used. - **`sync_mode`** (`boolean`, _optional_): If `True`, the image is returned as a data URI and is not stored. - Default: `false` - **`enable_safety_checker`** (`boolean`, _optional_): If set to true, the safety checker will be enabled. Default value: `true` - Default: `true` - **`output_format`** (`OutputFormatEnum`, _optional_): The format of the generated image. Default value: `"jpeg"` - Default: `"jpeg"` - Options: `"jpeg"`, `"png"` - **`image_url`** (`string`, _required_): URL of the input image for image-to-image generation. - Examples: "https://storage.googleapis.com/falserverless/model_tests/svd/rocket.png" - **`strength`** (`float`, _optional_): How much to transform the input image. 1.0 ignores the input image entirely; lower values stay closer to it. Default value: `0.8` - Default: `0.8` - Range: `0` to `1` - **`loras`** (`list`, _optional_): List of LoRA weights to apply (maximum 3). - Default: `[]` - Array of LoRAInput **Required Parameters Example**: ```json { "prompt": "A red panda perched on a mossy branch in a misty forest at sunrise", "image_url": "https://storage.googleapis.com/falserverless/model_tests/svd/rocket.png" } ``` **Full Example**: ```json { "prompt": "A red panda perched on a mossy branch in a misty forest at sunrise", "expansion_model": "Large", "image_size": "auto", "rendering_speed": "BALANCED", "acceleration": "none", "num_images": 1, "enable_safety_checker": true, "output_format": "jpeg", "image_url": "https://storage.googleapis.com/falserverless/model_tests/svd/rocket.png", "strength": 0.8, "loras": [] } ``` ### Output Schema The API returns the following output format: - **`images`** (`list`, _required_): The generated images. - Array of ImageFile - Examples: [{"url":"https://v3b.fal.media/files/b/0a9c92b2/JLDtkHeeec2BL7ZX3PyvI_KzumHcSa.jpg"}] - **`timings`** (`Timings`, _required_) - **`seed`** (`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. - **`has_nsfw_concepts`** (`list`, _required_): Whether the generated images contain NSFW concepts. - Array of boolean - **`prompt`** (`string`, _required_): The prompt used for generating the image. **Example Response**: ```json { "images": [ { "url": "https://v3b.fal.media/files/b/0a9c92b2/JLDtkHeeec2BL7ZX3PyvI_KzumHcSa.jpg" } ], "prompt": "" } ``` ## Usage Examples ### cURL ```bash curl --request POST \ --url https://fal.run/ideogram/v4/image-to-image/lora \ --header "Authorization: Key $FAL_KEY" \ --header "Content-Type: application/json" \ --data '{ "prompt": "A red panda perched on a mossy branch in a misty forest at sunrise", "image_url": "https://storage.googleapis.com/falserverless/model_tests/svd/rocket.png" }' ``` ### Python Ensure you have the Python client installed: ```bash pip install fal-client ``` Then use the API client to make requests: ```python 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( "ideogram/v4/image-to-image/lora", arguments={ "prompt": "A red panda perched on a mossy branch in a misty forest at sunrise", "image_url": "https://storage.googleapis.com/falserverless/model_tests/svd/rocket.png" }, with_logs=True, on_queue_update=on_queue_update, ) print(result) ``` ### JavaScript Ensure you have the JavaScript client installed: ```bash npm install --save @fal-ai/client ``` Then use the API client to make requests: ```javascript import { fal } from "@fal-ai/client"; const result = await fal.subscribe("ideogram/v4/image-to-image/lora", { input: { prompt: "A red panda perched on a mossy branch in a misty forest at sunrise", image_url: "https://storage.googleapis.com/falserverless/model_tests/svd/rocket.png" }, 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); ``` ## Additional Resources ### Documentation - [Model Playground](https://fal.ai/models/ideogram/v4/image-to-image/lora) - [API Documentation](https://fal.ai/models/ideogram/v4/image-to-image/lora/api) - [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=ideogram/v4/image-to-image/lora) ### fal.ai Platform - [Platform Documentation](https://docs.fal.ai) - [Python Client](https://docs.fal.ai/clients/python) - [JavaScript Client](https://docs.fal.ai/clients/javascript)