# Post Proccessing | Parabolize Quadratic warp with adjustable curvature strength and apex (x, y) coordinates. ## API Information - **Model Slug:** post-processing-parabolize - **Branded URL:** https://www.eachlabs.ai/eachlabs/eachlabs/post-processing-parabolize - **Provider:** each::labs - **Category:** Image to Image - **Output Type:** image - **Status:** active - **Version:** 0.0.1 - **Base Cost:** Fixed pricing: $0.001 per request - **Estimated Processing Time:** 10 seconds - **Last Updated:** 2026-04-16 - **Interactive Demo:** https://www.eachlabs.ai/ai-models/post-processing-parabolize ## Pricing - **Charge Type:** dynamic - **Estimated Price (default example):** $0.001000 - **Pricing Details:** Fixed pricing: $0.001 per request ### Pricing Rules | Condition | Pricing | | --- | --- | | Rule 1 | Fixed pricing: $0.001 per request | ## Input Schema | Parameter | Type | Required | Default | Constraints | Description | |-----------|------|----------|---------|-------------|-------------| | image_url | string | Yes | - | - | URL of image to process | | parabolize_coeff | number | No | 1 | -10–10 | Parabolize coefficient | | vertex_x | number | No | 0.5 | 0–1 | Vertex X position | | vertex_y | number | No | 0.5 | 0–1 | Vertex Y position | ## 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": "post-processing-parabolize", "input": { "image_url": "https://storage.googleapis.com/magicpoint/inputs/post-processing-input.png" } }' ``` ## 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 **post-processing-parabolize — Image-to-Image AI Model** Developed by Eachlabs as part of the Eachlabs family, post-processing-parabolize is a specialized image-to-image transformation model that applies precise quadratic warp effects to images. Rather than generating new content, this model excels at geometric image transformation—applying parabolic distortions with mathematical precision. It solves a specific creative and technical challenge: enabling predictable, parameter-driven image warping that maintains quality while giving creators exact control over the transformation's intensity and position. Post-processing-parabolize stands apart from general image editors through its parametric approach. Instead of manual adjustment sliders, users define curvature strength and apex coordinates (X, Y position), making it ideal for developers building image-to-image AI pipelines, batch processing workflows, and applications requiring reproducible geometric transformations. This model is particularly valuable for teams integrating post-processing effects into automated image workflows. ## 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.