pub struct CreateImageEditRequest {
pub image: Value,
pub mask: Option<Vec<u8>>,
pub model: Option<Value>,
pub n: Option<i32>,
pub prompt: String,
pub quality: Option<String>,
pub response_format: Option<String>,
pub size: Option<String>,
pub user: Option<String>,
}
Fields§
§image: Value
The image(s) to edit. Must be a supported image file or an array of images. For gpt-image-1
, each image should be a png
, webp
, or jpg
file less than 25MB. 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.
mask: Option<Vec<u8>>
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
.
model: Option<Value>
The model to use for image generation. Only dall-e-2
and gpt-image-1
are supported. Defaults to dall-e-2
unless a parameter specific to gpt-image-1
is used.
n: Option<i32>
The number of images to generate. Must be between 1 and 10.
prompt: String
A text description of the desired image(s). The maximum length is 1000 characters for dall-e-2
, and 32000 characters for gpt-image-1
.
quality: Option<String>
The quality of the image that will be generated. high
, medium
and low
are only supported for gpt-image-1
. dall-e-2
only supports standard
quality. Defaults to auto
.
response_format: Option<String>
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 gpt-image-1
will always return base64-encoded images.
size: Option<String>
The size of the generated images. Must be one of 1024x1024
, 1536x1024
(landscape), 1024x1536
(portrait), or auto
(default value) for gpt-image-1
, and one of 256x256
, 512x512
, or 1024x1024
for dall-e-2
.
user: Option<String>
A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more.