# GPT-1 | Image Edit OpenAI Image Edit lets you modify images by removing, adding, or changing parts. It uses AI to fill in the selected area naturally. ## API Information - **Model Slug:** openai-image-edit - **Branded URL:** https://www.eachlabs.ai/openai/gpt-image/openai-image-edit - **Provider:** OpenAI - **Category:** Image to Image - **Output Type:** image - **Status:** active - **Version:** 0.0.1 - **Base Cost:** Input at $10 per 1M tokens, output at $40 per 1M tokens - **Estimated Processing Time:** 25 seconds - **Last Updated:** 2026-06-29 - **Interactive Demo:** https://www.eachlabs.ai/ai-models/openai-image-edit ## Pricing - **Charge Type:** dynamic - **Pricing Details:** Input at $10 per 1M tokens, output at $40 per 1M tokens ### Pricing Rules | Condition | Pricing | | --- | --- | | Rule 1 | Input at $10 per 1M tokens, output at $40 per 1M tokens | ## Input Schema | Parameter | Type | Required | Default | Constraints | Description | |-----------|------|----------|---------|-------------|-------------| | prompt | string | Yes | - | - | - | | image_url_1 | string | Yes | - | - | - | | mask_url | string | No | - | - | - | | image_url_2 | string | No | - | - | - | | image_url_3 | string | No | - | - | - | | number_of_images | integer | No | 1 | 1–10 | - | | quality | string | No | auto | auto,high,medium,low | - | | background | string | No | auto | auto,transparent,opaque | - | | image_size | string | No | auto | auto,1024x1024,1536x1024,1024x1536 | - | | image_url_4 | string | No | - | - | - | | image_url_5 | string | No | - | - | - | | image_url_6 | string | No | - | - | - | | image_url_7 | string | No | - | - | - | | image_url_8 | string | No | - | - | - | | image_url_9 | string | No | - | - | - | | image_url_10 | string | No | - | - | - | | image_url_11 | string | No | - | - | - | | image_url_12 | string | No | - | - | - | | image_url_13 | string | No | - | - | - | | image_url_14 | string | No | - | - | - | | image_url_15 | string | No | - | - | - | | image_url_16 | string | No | - | - | - | ## 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": "openai-image-edit", "input": { "image_url_1": "https://storage.googleapis.com/magicpoint/inputs/input-image.png", "prompt": "a cyberpunk-themed, highly detailed and realistic portrait of the same woman from the input image, wearing a futuristic neon-lit jacket, glowing cybernetic implants on her face, short dyed blue hair, against a dark cityscape background with neon lights, same pose, looking at the camera, maintaining her natural facial features" } }' ``` ## Output Schema Response returned by `GET /v1/prediction/{id}` when the job completes: ```json { "status": "success", "predictionID": "string", "output": "string (URL of generated image)", "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 **openai-image-edit — Image Editing AI Model** Developed by OpenAI as part of the **gpt-image** family, **openai-image-edit** empowers users to precisely modify existing images by masking areas and providing text prompts to add, remove, or change elements seamlessly. This **image-to-image AI model** solves the challenge of realistic photo editing without manual tools, delivering natural inpainting that blends edits into the original context. Ideal for developers seeking an **AI image editor API**, it transforms "edit images with AI" workflows by generating high-fidelity outputs from an input image and descriptive prompt. ## 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.