# Flux 2 | Lora Edit A FLUX.2 [dev] image-to-image model with LoRA support, enabling specialized style transfer and precise domain-specific edits. ## API Information - **Model Slug:** flux-2-lora-edit - **Branded URL:** https://www.eachlabs.ai/black-forest-labs/flux-2/flux-2-lora-edit - **Provider:** Black Forest Labs - **Category:** Image to Image - **Output Type:** array - **Status:** active - **Version:** 0.0.1 - **Base Cost:** Pricing is based on image size. Each megapixel of the generated image costs $0.021, and each megapixel of every input image is also charged at $0.021. Cost grows with the number of input and output images. Small images are billed as a single megapixel. - **Estimated Processing Time:** 20 seconds - **Last Updated:** 2026-04-28 - **Interactive Demo:** https://www.eachlabs.ai/ai-models/flux-2-lora-edit ## Pricing - **Charge Type:** dynamic - **Pricing Details:** Pricing is based on image size. Each megapixel of the generated image costs $0.021, and each megapixel of every input image is also charged at $0.021. Cost grows with the number of input and output images. Small images are billed as a single megapixel. ### Pricing Rules | Condition | Pricing | | --- | --- | | output.width < "708" AND output.height < "708" | Pricing is based on image size. Each megapixel of the generated image costs $0.021, and each megapixel of every input image is also charged at $0.021. Cost grows with the number of input and output images. Small images are billed as a single megapixel. | | Rule 2 | Pricing is based on image size. Each megapixel of the generated image costs $0.021, and each megapixel of every input image is also charged at $0.021. Cost grows with the number of input and output images. Small images are billed as a single megapixel. | ## Input Schema | Parameter | Type | Required | Default | Constraints | Description | |-----------|------|----------|---------|-------------|-------------| | prompt | string | Yes | - | - | The prompt to generate an image from. | | image_urls | array | Yes | - | 1–3 | The URsL of the images for editing. | | loras | array | No | - | 0–3 | List of LoRA weights to apply (maximum 3) | | guidance_scale | number | No | 2.5 | 0–20 | Guidance Scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. | | num_inference_steps | integer | No | 28 | 4–50 | The number of inference steps to perform. | | image_size | string | No | square_hd | square_hd,square,portrait_4_3,portrait_16_9,landscape_4_3,landscape_16_9 | The size of the image to generate. | | num_images | integer | No | 1 | 1–4 | The number of images to generate. | | acceleration | string | No | regular | none,regular,high | The acceleration level to use for the image generation. | | enable_prompt_expansion | boolean | No | false | - | If set to true, the prompt will be expanded for better results. | | enable_safety_checker | boolean | No | true | - | If set to true, the safety checker will be enabled. | | output_format | string | No | png | jpeg,png,webp | The format of the generated image. | | seed | integer | No | - | - | The seed to use for the generation. If not provided, a random seed will be used | ## Example Request ```bash curl -X POST https://api.eachlabs.ai/v1/prediction/ \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "flux-2-lora-edit", "input": { "image_urls": [ "https://storage.googleapis.com/magicpoint/inputs/flux-2-lora-edit-input.png" ], "prompt": "Make this ice cream realistic" } }' ``` ## Output Schema Response returned by `GET /v1/prediction/{id}` when the job completes: ```json { "status": "success", "predictionID": "string", "output": "array", "metrics": { "predict_time": "number (seconds)" } } ``` ## Polling ```bash curl https://api.eachlabs.ai/v1/prediction/{PREDICTION_ID} \ -H "Authorization: Bearer YOUR_API_KEY" ``` | Status | Meaning | |--------|---------| | `processing` | Still running — poll again | | `success` | Done — read `output` | | `error` | Failed — read `message` / `details` | ## Webhook (alternative to polling) Pass `"webhook_url": "https://your.host/path"` in the create request. Eachlabs POSTs this payload when the job ends: ```json { "exec_id": "prediction-uuid", "status": "succeeded", "output": "https://...", "error": "" } ``` `status` is `"succeeded"` or `"failed"`. `exec_id` equals the `predictionID` from create. Return 2xx within 30 seconds. ## Errors Error body: `{ "status": "error", "message": "...", "details": "..." }` | Code | Meaning | |------|---------| | `400` | Invalid input | | `401` | Missing / invalid `Authorization` bearer token | | `404` | Unknown model or prediction id | | `429` | Rate limit — 100 creates / min, 10 concurrent per key | | `5xx` | Retry with backoff | ## Overview **flux-2-lora-edit — Image-to-Image AI Model** flux-2-lora-edit, a specialized variant of Black Forest Labs' FLUX.2 [klein] 9B Edit with LoRA support, empowers developers and creators to perform precise image-to-image edits using natural language instructions and custom style adapters.flux-2-lora-edit stands out in the competitive landscape of **image-to-image AI models** by combining a 9 billion parameter rectified flow transformer with undistilled training, enabling superior customization for domain-specific edits like style transfer and multi-reference compositions. Developed as part of the flux-2 family, this model addresses key pain points in AI photo editing for e-commerce and design workflows, delivering photorealistic results with up to 4 reference images while supporting LoRA adapters for personalized visual identities. Whether you're building an **AI image editor API** or automating product mockups, flux-2-lora-edit offers sub-second inference on consumer hardware, making high-fidelity edits accessible without heavy computational demands. ## Usage Notes - API Base URL: `https://api.eachlabs.ai/v1` - Authentication: send `Authorization: Bearer YOUR_API_KEY`. Generate a key from the Eachlabs dashboard at https://www.eachlabs.ai/dashboard/api-keys. - File-typed parameters (`*_url`, `image_url`, `video_url`, `audio_url`, etc.) accept publicly-reachable HTTPS URLs only. Upload your asset first (GCS / S3 / your CDN) and pass the resulting URL. Data-URIs and localhost URLs are rejected. - For structured parameters (arrays / objects) send real JSON values, not stringified payloads. - Monetary values are reported in USD; per-token / per-megapixel rates may be billed in micro-cents internally. - Prefer `webhook_url` over polling for long-running predictions — see the Webhook Callback section.