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Images

Create image edit

ImagesResponse images().edit(ImageEditParamsparams, RequestOptionsrequestOptions = RequestOptions.none())
POST/images/edits

Creates an edited or extended image given one or more source images and a prompt. This endpoint supports GPT Image models (gpt-image-1.5, gpt-image-1, and gpt-image-1-mini) and dall-e-2.

ParametersExpand Collapse
ImageEditParams params
Image image

The image(s) to edit. Must be a supported image file or an array of images.

For the GPT image models (gpt-image-1, gpt-image-1-mini, and gpt-image-1.5), each image should be a png, webp, or jpg file less than 50MB. You can provide up to 16 images.

For dall-e-2, you can only provide one image, and it should be a square png file less than 4MB.

String
List<String>
String prompt

A text description of the desired image(s). The maximum length is 1000 characters for dall-e-2, and 32000 characters for the GPT image models.

Optional<Background> background

Allows to set transparency for the background of the generated image(s). This parameter is only supported for the GPT image models. Must be one of transparent, opaque or auto (default value). When auto is used, the model will automatically determine the best background for the image.

If transparent, the output format needs to support transparency, so it should be set to either png (default value) or webp.

TRANSPARENT("transparent")
OPAQUE("opaque")
AUTO("auto")
Optional<InputFidelity> inputFidelity

Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.

HIGH("high")
LOW("low")
Optional<InputStream> mask

An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where image should be edited. If there are multiple images provided, the mask will be applied on the first image. Must be a valid PNG file, less than 4MB, and have the same dimensions as image.

Optional<ImageModel> model

The model to use for image generation. Only dall-e-2 and the GPT image models are supported. Defaults to dall-e-2 unless a parameter specific to the GPT image models is used.

GPT_IMAGE_1_5("gpt-image-1.5")
DALL_E_2("dall-e-2")
DALL_E_3("dall-e-3")
GPT_IMAGE_1("gpt-image-1")
GPT_IMAGE_1_MINI("gpt-image-1-mini")
Optional<Long> n

The number of images to generate. Must be between 1 and 10.

minimum1
maximum10
Optional<Long> outputCompression

The compression level (0-100%) for the generated images. This parameter is only supported for the GPT image models with the webp or jpeg output formats, and defaults to 100.

Optional<OutputFormat> outputFormat

The format in which the generated images are returned. This parameter is only supported for the GPT image models. Must be one of png, jpeg, or webp. The default value is png.

PNG("png")
JPEG("jpeg")
WEBP("webp")
Optional<Long> partialImages

The number of partial images to generate. This parameter is used for streaming responses that return partial images. Value must be between 0 and 3. When set to 0, the response will be a single image sent in one streaming event.

Note that the final image may be sent before the full number of partial images are generated if the full image is generated more quickly.

maximum3
minimum0
Optional<Quality> quality

The quality of the image that will be generated. high, medium and low are only supported for the GPT image models. dall-e-2 only supports standard quality. Defaults to auto.

STANDARD("standard")
LOW("low")
MEDIUM("medium")
HIGH("high")
AUTO("auto")
Optional<ResponseFormat> responseFormat

The format in which the generated images are returned. Must be one of url or b64_json. URLs are only valid for 60 minutes after the image has been generated. This parameter is only supported for dall-e-2, as the GPT image models always return base64-encoded images.

URL("url")
B64_JSON("b64_json")
Optional<Size> size

The size of the generated images. Must be one of 1024x1024, 1536x1024 (landscape), 1024x1536 (portrait), or auto (default value) for the GPT image models, and one of 256x256, 512x512, or 1024x1024 for dall-e-2.

_256X256("256x256")
_512X512("512x512")
_1024X1024("1024x1024")
_1536X1024("1536x1024")
_1024X1536("1024x1536")
AUTO("auto")
Optional<String> user

A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more.

ReturnsExpand Collapse
class ImagesResponse:

The response from the image generation endpoint.

long created

The Unix timestamp (in seconds) of when the image was created.

Optional<Background> background

The background parameter used for the image generation. Either transparent or opaque.

Accepts one of the following:
TRANSPARENT("transparent")
OPAQUE("opaque")
Optional<List<Image>> data

The list of generated images.

Optional<String> b64Json

The base64-encoded JSON of the generated image. Returned by default for the GPT image models, and only present if response_format is set to b64_json for dall-e-2 and dall-e-3.

Optional<String> revisedPrompt

For dall-e-3 only, the revised prompt that was used to generate the image.

Optional<String> url

When using dall-e-2 or dall-e-3, the URL of the generated image if response_format is set to url (default value). Unsupported for the GPT image models.

Optional<OutputFormat> outputFormat

The output format of the image generation. Either png, webp, or jpeg.

Accepts one of the following:
PNG("png")
WEBP("webp")
JPEG("jpeg")
Optional<Quality> quality

The quality of the image generated. Either low, medium, or high.

Accepts one of the following:
LOW("low")
MEDIUM("medium")
HIGH("high")
Optional<Size> size

The size of the image generated. Either 1024x1024, 1024x1536, or 1536x1024.

Accepts one of the following:
_1024X1024("1024x1024")
_1024X1536("1024x1536")
_1536X1024("1536x1024")
Optional<Usage> usage

For gpt-image-1 only, the token usage information for the image generation.

long inputTokens

The number of tokens (images and text) in the input prompt.

InputTokensDetails inputTokensDetails

The input tokens detailed information for the image generation.

long imageTokens

The number of image tokens in the input prompt.

long textTokens

The number of text tokens in the input prompt.

long outputTokens

The number of output tokens generated by the model.

long totalTokens

The total number of tokens (images and text) used for the image generation.

Optional<OutputTokensDetails> outputTokensDetails

The output token details for the image generation.

long imageTokens

The number of image output tokens generated by the model.

long textTokens

The number of text output tokens generated by the model.

class ImageEditStreamEvent: A class that can be one of several variants.union

Emitted when a partial image is available during image editing streaming.

class ImageEditPartialImageEvent:

Emitted when a partial image is available during image editing streaming.

String b64Json

Base64-encoded partial image data, suitable for rendering as an image.

Background background

The background setting for the requested edited image.

Accepts one of the following:
TRANSPARENT("transparent")
OPAQUE("opaque")
AUTO("auto")
long createdAt

The Unix timestamp when the event was created.

OutputFormat outputFormat

The output format for the requested edited image.

Accepts one of the following:
PNG("png")
WEBP("webp")
JPEG("jpeg")
long partialImageIndex

0-based index for the partial image (streaming).

Quality quality

The quality setting for the requested edited image.

Accepts one of the following:
LOW("low")
MEDIUM("medium")
HIGH("high")
AUTO("auto")
Size size

The size of the requested edited image.

Accepts one of the following:
_1024X1024("1024x1024")
_1024X1536("1024x1536")
_1536X1024("1536x1024")
AUTO("auto")
JsonValue; type "image_edit.partial_image"constant"image_edit.partial_image"constant

The type of the event. Always image_edit.partial_image.

class ImageEditCompletedEvent:

Emitted when image editing has completed and the final image is available.

String b64Json

Base64-encoded final edited image data, suitable for rendering as an image.

Background background

The background setting for the edited image.

Accepts one of the following:
TRANSPARENT("transparent")
OPAQUE("opaque")
AUTO("auto")
long createdAt

The Unix timestamp when the event was created.

OutputFormat outputFormat

The output format for the edited image.

Accepts one of the following:
PNG("png")
WEBP("webp")
JPEG("jpeg")
Quality quality

The quality setting for the edited image.

Accepts one of the following:
LOW("low")
MEDIUM("medium")
HIGH("high")
AUTO("auto")
Size size

The size of the edited image.

Accepts one of the following:
_1024X1024("1024x1024")
_1024X1536("1024x1536")
_1536X1024("1536x1024")
AUTO("auto")
JsonValue; type "image_edit.completed"constant"image_edit.completed"constant

The type of the event. Always image_edit.completed.

Usage usage

For the GPT image models only, the token usage information for the image generation.

long inputTokens

The number of tokens (images and text) in the input prompt.

InputTokensDetails inputTokensDetails

The input tokens detailed information for the image generation.

long imageTokens

The number of image tokens in the input prompt.

long textTokens

The number of text tokens in the input prompt.

long outputTokens

The number of image tokens in the output image.

long totalTokens

The total number of tokens (images and text) used for the image generation.

Create image edit

package com.openai.example;

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.images.ImageEditParams;
import com.openai.models.images.ImagesResponse;
import java.io.ByteArrayInputStream;
import java.io.InputStream;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        OpenAIClient client = OpenAIOkHttpClient.fromEnv();

        ImageEditParams params = ImageEditParams.builder()
            .image(ByteArrayInputStream("some content".getBytes()))
            .prompt("A cute baby sea otter wearing a beret")
            .build();
        ImagesResponse imagesResponse = client.images().edit(params);
    }
}
{
  "created": 0,
  "background": "transparent",
  "data": [
    {
      "b64_json": "b64_json",
      "revised_prompt": "revised_prompt",
      "url": "url"
    }
  ],
  "output_format": "png",
  "quality": "low",
  "size": "1024x1024",
  "usage": {
    "input_tokens": 0,
    "input_tokens_details": {
      "image_tokens": 0,
      "text_tokens": 0
    },
    "output_tokens": 0,
    "total_tokens": 0,
    "output_tokens_details": {
      "image_tokens": 0,
      "text_tokens": 0
    }
  }
}
Returns Examples
{
  "created": 0,
  "background": "transparent",
  "data": [
    {
      "b64_json": "b64_json",
      "revised_prompt": "revised_prompt",
      "url": "url"
    }
  ],
  "output_format": "png",
  "quality": "low",
  "size": "1024x1024",
  "usage": {
    "input_tokens": 0,
    "input_tokens_details": {
      "image_tokens": 0,
      "text_tokens": 0
    },
    "output_tokens": 0,
    "total_tokens": 0,
    "output_tokens_details": {
      "image_tokens": 0,
      "text_tokens": 0
    }
  }
}