# Eachlabs Image Upscaler | Pro | v1 Eachlabs Image Upscaler Pro v1 an advanced image upscaling model that increases the resolution of low-quality images while preserving sharpness and detail. It is ideal for professional use. ## API Information - **Model Slug:** eachlabs-image-upscaler-pro-v1 - **Branded URL:** https://www.eachlabs.ai/each-labs/each-tools/eachlabs-image-upscaler-pro-v1 - **Provider:** each::labs - **Category:** Image to Image - **Output Type:** image - **Status:** active - **Version:** 0.0.1 - **Base Cost:** $0.01 per upscale - **Estimated Processing Time:** 8 seconds - **Last Updated:** 2026-04-29 - **Interactive Demo:** https://www.eachlabs.ai/ai-models/eachlabs-image-upscaler-pro-v1 ## Pricing - **Charge Type:** dynamic - **Estimated Price (default example):** $0.0100 - **Pricing Details:** $0.01 per upscale ### Pricing Rules | Condition | Pricing | | --- | --- | | Rule 1 | $0.01 per upscale | ## Input Schema | Parameter | Type | Required | Default | Constraints | Description | |-----------|------|----------|---------|-------------|-------------| | image_url | string | Yes | - | - | - | | upscale_factor | integer | Yes | 2 | 2–4 | - | | output_format | string | Yes | PNG | JPG,PNG,WEBP | - | ## Example Request ```bash curl -X POST https://api.eachlabs.ai/v1/prediction/ \ -H "X-API-Key: YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "eachlabs-image-upscaler-pro-v1", "input": { "output_format": "PNG", "upscale_factor": 2, "image_url": "https://storage.googleapis.com/magicpoint/inputs/eachlabs-upscaler-pro1-input.webp" } }' ``` ## 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 "X-API-Key: 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 `X-API-Key` | | `404` | Unknown model or prediction id | | `429` | Rate limit — 100 creates / min, 10 concurrent per key | | `5xx` | Retry with backoff | ## Overview **eachlabs-image-upscaler-pro-v1 — Image-to-Image AI Model** Transform low-resolution images into sharp, high-quality visuals with **eachlabs-image-upscaler-pro-v1**, an advanced image-to-image AI model from Eachlabs that excels at upscaling while preserving intricate details and textures. Developed by Eachlabs as part of the Eachlabs family, this pro version tackles common upscaling pitfalls like over-smoothing and artifact introduction, delivering professional-grade results ideal for print and digital use. Whether you're enhancing product photos or restoring old images, **eachlabs-image-upscaler-pro-v1** boosts resolution up to 8x without compromising realism, making it a go-to for AI image upscaler needs. Users searching for reliable **image-to-image AI models** appreciate its ability to handle compressed or blurry inputs, reconstructing fine details like fabric grains and skin textures that generic tools often lose. ## Usage Notes - API Base URL: `https://api.eachlabs.ai/v1` - Authentication: send `X-API-Key: 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.