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gpt-image-2-c is the cost-effective variant of GPT Image 2, available through AnyFast API. It keeps GPT Image 2’s autoregressive + reasoning hybrid architecture — flexible resolution up to 4K and near-perfect text rendering — while supporting response_format and offering a lower price point. Unlike the official gpt-image-2, it does not support the n parameter (one image per request).

Key capabilities

  • Text-to-Image — Generate images from natural language descriptions
  • Image editing — Edit an existing image with a text prompt via /v1/images/edits
  • Flexible resolution — Any custom size up to 4K (3840px), edges must be multiples of 16
  • Near-perfect text rendering — ~99% character-level accuracy across 12+ languages
  • response_format support — Return generated/edited images as a pre-signed url or base64 (b64_json)
  • Cost-effective — A lower-cost alternative to gpt-image-2
gpt-image-2-c does not support the n parameter — each request returns a single image. For multi-image output (n), use gpt-image-2.

Output specifications

Quick example

Parameters

gpt-image-2-c does not support the n parameter. To generate multiple images in one request, use gpt-image-2.

Image editing

Edit an existing image with a text prompt via POST /v1/images/edits. Use multipart/form-data and pass images as file uploads. Supports up to 16 input images per request (image[]).

Input image formats

Supported formats: PNG, JPEG. Images must be provided as multipart/form-data file uploads.

Edit parameters

Use either image (single file) or image[] (array) — not both.

Mask editing

Provide a mask image with an alpha channel to control which areas of the source image to edit. Pixels with white (opaque) alpha are preserved; pixels with black (transparent) alpha are edited. Requirements:
  • The mask must contain an Alpha channel
  • Must be the same image format and same dimensions as the source image
  • File size limit: < 50MB
Mask editing requires selecting the Direct group in the console.
cURL
If your mask is a black-and-white image without an alpha channel, convert it first:
Python

Generate API Reference

Interactive playground for POST /v1/images/generations.

Edit API Reference

Interactive playground for POST /v1/images/edits.