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#[cfg(feature = "download")]
use crate::v1::error::APIError;
#[cfg(feature = "download")]
use crate::v1::helpers::generate_file_name;
use crate::v1::resources::shared::FileUpload;
#[cfg(feature = "download")]
use base64::{engine::general_purpose, Engine as _};
use derive_builder::Builder;
#[cfg(feature = "download")]
use futures::future;
use serde::{Deserialize, Serialize};
use std::fmt::Display;
#[derive(Serialize, Deserialize, Debug, Default, Builder, Clone, PartialEq)]
#[builder(name = "CreateImageParametersBuilder")]
#[builder(setter(into, strip_option), default)]
pub struct CreateImageParameters {
/// A text description of the desired image(s). The maximum length is 32000 characters for gpt-image-1, 1000 characters for dall-e-2 and 4000 characters for dall-e-3.
pub prompt: String,
/// Allows to set transparency for the background of the generated image(s). This parameter is only supported for gpt-image-1.
/// 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.
#[serde(skip_serializing_if = "Option::is_none")]
pub background: Option<BackgroundStyle>,
/// The model to use for image generation.
#[serde(skip_serializing_if = "Option::is_none")]
pub model: Option<String>,
/// Control the content-moderation level for images generated by gpt-image-1. Must be either low for less restrictive filtering or auto (default value).
#[serde(skip_serializing_if = "Option::is_none")]
pub moderation: Option<ModerationLevel>,
/// The number of images to generate. Must be between 1 and 10. For dall-e-3, only n=1 is supported.
#[serde(skip_serializing_if = "Option::is_none")]
pub n: Option<u32>,
/// The compression level (0-100%) for the generated images. This parameter is only supported for gpt-image-1 with the webp or jpeg output formats, and defaults to 100.
#[serde(skip_serializing_if = "Option::is_none")]
pub output_compression: Option<u32>,
/// The format in which the generated images are returned. This parameter is only supported for gpt-image-1. Must be one of png, jpeg, or webp.
#[serde(skip_serializing_if = "Option::is_none")]
pub output_format: Option<OutputFormat>,
/// 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.
#[serde(skip_serializing_if = "Option::is_none")]
pub partial_images: Option<u32>,
/// The quality of the image that will be generated. hd creates images with finer details and greater consistency across the image.
/// high, medium and low are supported for gpt-image-1. hd and standard are supported for dall-e-3. standard is the only option for dall-e-2.
#[serde(skip_serializing_if = "Option::is_none")]
pub quality: Option<ImageQuality>,
/// The format in which the generated images are returned. Must be one of url or b64_json.
#[serde(skip_serializing_if = "Option::is_none")]
pub response_format: Option<ResponseFormat>,
/// The size of the generated images. Must be one of 1024x1024, 1536x1024 (landscape), 1024x1536 (portrait), or auto (default value) for gpt-image-1,
/// one of 256x256, 512x512, or 1024x1024 for dall-e-2, and one of 1024x1024, 1792x1024, or 1024x1792 for dall-e-3.
#[serde(skip_serializing_if = "Option::is_none")]
pub size: Option<ImageSize>,
/// Generate the image in streaming mode.
#[serde(skip_serializing_if = "Option::is_none")]
pub stream: Option<bool>,
/// The style of the generated images. This parameter is only supported for dall-e-3. Must be one of vivid or natural.
/// Vivid causes the model to lean towards generating hyper-real and dramatic images.
/// Natural causes the model to produce more natural, less hyper-real looking images.
#[serde(skip_serializing_if = "Option::is_none")]
pub style: Option<ImageStyle>,
/// A stable identifier used to help detect users of your application that may be violating OpenAI's usage policies.
#[serde(skip_serializing_if = "Option::is_none")]
pub safety_identifier: Option<String>,
/// Used by OpenAI to cache responses for similar requests to optimize your cache hit rates.
#[serde(skip_serializing_if = "Option::is_none")]
pub prompt_cache_key: Option<String>,
/// A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.
#[serde(skip_serializing_if = "Option::is_none")]
pub user: Option<String>,
}
#[derive(Serialize, Deserialize, Debug, Default, Builder, Clone, PartialEq)]
#[builder(name = "EditImageParametersBuilder")]
#[builder(setter(into, strip_option), default)]
pub struct EditImageParameters {
/// The image(s) to edit. Must be a supported image file or an array of images.
/// If mask is not provided, image must have transparency, which will be used as the mask.
pub image: FileUpload,
/// 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.
pub prompt: String,
/// Allows to set transparency for the background of the generated image(s). This parameter is only supported for gpt-image-1.
/// 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.
#[serde(skip_serializing_if = "Option::is_none")]
pub background: Option<BackgroundStyle>,
/// 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. Unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
#[serde(skip_serializing_if = "Option::is_none")]
pub input_fidelity: Option<InputFidelity>,
/// 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.
#[serde(skip_serializing_if = "Option::is_none")]
pub mask: Option<FileUpload>,
/// The mime type of the image. If not provided, the mime type will be set to application/octet-stream.
/// gpt-image-1 expects `image/png`, `image/jpeg` or `image/webp`.
#[serde(skip_serializing_if = "Option::is_none")]
pub mime_type: Option<MimeType>,
/// The model to use for image generation.
#[serde(skip_serializing_if = "Option::is_none")]
pub model: Option<String>,
/// The number of images to generate. Must be between 1 and 10.
#[serde(skip_serializing_if = "Option::is_none")]
pub n: Option<u32>,
/// The compression level (0-100%) for the generated images. This parameter is only supported for gpt-image-1 with the webp or jpeg output formats, and defaults to 100.
#[serde(skip_serializing_if = "Option::is_none")]
pub output_compression: Option<u32>,
/// The format in which the generated images are returned. This parameter is only supported for gpt-image-1. Must be one of png, jpeg, or webp. The default value is png.
#[serde(skip_serializing_if = "Option::is_none")]
pub output_format: Option<OutputFormat>,
/// 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.
#[serde(skip_serializing_if = "Option::is_none")]
pub partial_images: Option<u32>,
/// The quality of the image that will be generated. hd creates images with finer details and greater consistency across the image.
/// high, medium and low are supported for gpt-image-1. dall-e-2 only supports standard quality.
#[serde(skip_serializing_if = "Option::is_none")]
pub quality: Option<ImageQuality>,
/// 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.
#[serde(skip_serializing_if = "Option::is_none")]
pub response_format: Option<ResponseFormat>,
/// The size of the generated images. Must be one of 1024x1024, 1536x1024 (landscape), 1024x1536 (portrait), or auto (default value) for gpt-image-1,
/// one of 256x256, 512x512, or 1024x1024 for dall-e-2, and one of 1024x1024, 1792x1024, or 1024x1792 for dall-e-3.
#[serde(skip_serializing_if = "Option::is_none")]
pub size: Option<ImageSize>,
/// Edit the image in streaming mode. Defaults to false. See the Image generation guide for more information.
#[serde(skip_serializing_if = "Option::is_none")]
pub stream: Option<bool>,
/// A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.
#[serde(skip_serializing_if = "Option::is_none")]
pub user: Option<String>,
}
#[derive(Serialize, Deserialize, Debug, Default, Builder, Clone, PartialEq)]
#[builder(name = "CreateImageVariationParametersBuilder")]
#[builder(setter(into, strip_option), default)]
pub struct CreateImageVariationParameters {
/// The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square.
pub image: FileUpload,
/// The model to use for image generation. Only dall-e-2 is supported at this time.
#[serde(skip_serializing_if = "Option::is_none")]
pub model: Option<String>,
/// The number of images to generate. Must be between 1 and 10. For dall-e-3, only n=1 is supported.
#[serde(skip_serializing_if = "Option::is_none")]
pub n: Option<u32>,
/// The format in which the generated images are returned. Must be one of url or b64_json.
#[serde(skip_serializing_if = "Option::is_none")]
pub response_format: Option<ResponseFormat>,
/// The size of the generated images. Must be one of 1024x1024, 1536x1024 (landscape), 1024x1536 (portrait), or auto (default value) for gpt-image-1,
/// one of 256x256, 512x512, or 1024x1024 for dall-e-2, and one of 1024x1024, 1792x1024, or 1024x1792 for dall-e-3.
#[serde(skip_serializing_if = "Option::is_none")]
pub size: Option<ImageSize>,
/// A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.
#[serde(skip_serializing_if = "Option::is_none")]
pub user: Option<String>,
}
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq)]
pub struct ImageResponse {
/// The background parameter used for the image generation. Either transparent or opaque.
#[serde(skip_serializing_if = "Option::is_none")]
pub background: Option<BackgroundStyle>,
/// The Unix timestamp (in seconds) for when the image was created.
pub created: u32,
/// The list of generated images.
pub data: Vec<ImageData>,
/// The output format of the image generation. Either png, webp, or jpeg.
#[serde(skip_serializing_if = "Option::is_none")]
pub output_format: Option<OutputFormat>,
/// The quality of the image generated. Either low, medium, or high.
#[serde(skip_serializing_if = "Option::is_none")]
pub quality: Option<ImageQuality>,
/// The size of the image generated. Either 1024x1024, 1024x1536, or 1536x1024.
#[serde(skip_serializing_if = "Option::is_none")]
pub size: Option<ImageSizeResponse>,
/// For gpt-image-1 only, the token usage information for the image generation.
#[serde(skip_serializing_if = "Option::is_none")]
pub usage: Option<ImageUsage>,
}
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq)]
pub enum ImageSize {
#[serde(rename = "256x256")]
Size256X256,
#[serde(rename = "512x512")]
Size512X512,
#[serde(rename = "1024x1024")]
Size1024X1024,
#[serde(rename = "1024x1536")]
Size1024X1536,
#[serde(rename = "1536x1024")]
Size1536X1024,
#[serde(rename = "1792x1024")]
Size1792X1024,
#[serde(rename = "1024x1792")]
Size1024X1792,
#[serde(rename = "auto")]
Auto,
}
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq)]
pub enum ImageSizeResponse {
#[serde(rename = "256x256")]
Size256X256,
#[serde(rename = "512x512")]
Size512X512,
#[serde(rename = "1024x1024")]
Size1024X1024,
#[serde(rename = "1024x1536")]
Size1024X1536,
#[serde(rename = "1536x1024")]
Size1536X1024,
#[serde(rename = "1792x1024")]
Size1792X1024,
#[serde(rename = "1024x1792")]
Size1024X1792,
}
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq)]
#[serde(rename_all = "snake_case")]
pub enum BackgroundStyle {
Transparent,
Opaque,
Auto,
}
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq)]
#[serde(rename_all = "snake_case")]
pub enum ImageQuality {
Standard,
Hd,
High,
Medium,
Low,
Auto,
}
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq)]
#[serde(rename_all = "snake_case")]
pub enum MimeType {
#[serde(rename = "image/png")]
Png,
#[serde(rename = "image/jpeg")]
Jpeg,
#[serde(rename = "image/webp")]
Webp,
#[serde(rename = "application/octet-stream")]
OctetStream,
}
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq)]
#[serde(rename_all = "snake_case")]
pub enum ImageStyle {
Vivid,
Natural,
}
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq)]
#[serde(rename_all = "snake_case")]
pub enum ModerationLevel {
Auto,
Low,
}
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq)]
#[serde(rename_all = "snake_case")]
pub enum OutputFormat {
Png,
Jpeg,
Webp,
}
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq)]
#[serde(rename_all = "snake_case")]
pub enum InputFidelity {
High,
Low,
}
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq)]
#[serde(rename_all = "snake_case")]
pub enum ResponseFormat {
Url,
B64Json,
}
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq)]
pub struct ImageUsage {
/// The number of tokens (images and text) in the input prompt.
pub input_tokens: u32,
/// The input tokens detailed information for the image generation.
pub input_tokens_details: Option<InputTokensDetails>,
/// The number of output tokens generated by the model.
pub output_tokens: u32,
/// The total number of tokens (images and text) used for the image generation.
pub total_tokens: u32,
}
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq)]
pub struct InputTokensDetails {
/// The number of image tokens in the input.
pub image_tokens: u32,
/// The number of text tokens in the input.
pub text_tokens: u32,
}
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq)]
#[serde(untagged)]
pub enum ImageData {
Url {
url: String,
#[serde(skip_serializing_if = "Option::is_none")]
revised_prompt: Option<String>,
},
B64Json {
b64_json: String,
#[serde(skip_serializing_if = "Option::is_none")]
revised_prompt: Option<String>,
},
}
impl ImageResponse {
#[cfg(feature = "download")]
pub async fn save(&self, path: &str) -> Result<Vec<String>, APIError> {
let mut files = vec![];
let mut handles = vec![];
for item in self.data.clone() {
let path = path.to_owned();
handles.push(tokio::spawn(async move { item.save_to_disk(&path).await }));
}
let results = future::join_all(handles).await;
for result in results {
match result {
Ok(path) => match path {
Ok(item) => files.push(item),
Err(_error) => (),
},
Err(_error) => (),
}
}
Ok(files)
}
}
impl ImageData {
#[cfg(feature = "download")]
pub async fn save_to_disk(&self, path: &str) -> Result<String, APIError> {
match self {
ImageData::Url { url, .. } => self.download_image_from_url(url, path).await,
ImageData::B64Json { b64_json, .. } => {
self.download_b64_json_image(b64_json, path).await
}
}
}
#[cfg(feature = "download")]
async fn download_image_from_url(&self, url: &str, path: &str) -> Result<String, APIError> {
let response = reqwest::get(url)
.await
.map_err(|error| APIError::FileError(error.to_string()))?;
let full_path = generate_file_name(path, 16, "png");
tokio::fs::write(
&full_path,
response
.bytes()
.await
.map_err(|error| APIError::FileError(error.to_string()))?,
)
.await
.map_err(|error| APIError::FileError(error.to_string()))?;
Ok(full_path)
}
#[cfg(feature = "download")]
async fn download_b64_json_image(
&self,
b64_json: &str,
path: &str,
) -> Result<String, APIError> {
let full_path = generate_file_name(path, 16, "png");
let bytes = general_purpose::STANDARD.decode(b64_json).unwrap();
tokio::fs::write(&full_path, bytes)
.await
.map_err(|error| APIError::FileError(error.to_string()))?;
Ok(full_path)
}
}
impl Display for InputFidelity {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(
f,
"{}",
match self {
InputFidelity::High => "high",
InputFidelity::Low => "low",
}
)
}
}
impl Display for OutputFormat {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(
f,
"{}",
match self {
OutputFormat::Png => "png",
OutputFormat::Jpeg => "jpeg",
OutputFormat::Webp => "webp",
}
)
}
}
impl Display for BackgroundStyle {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(
f,
"{}",
match self {
BackgroundStyle::Transparent => "transparent",
BackgroundStyle::Opaque => "opaque",
BackgroundStyle::Auto => "auto",
}
)
}
}
impl Display for ImageQuality {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(
f,
"{}",
match self {
ImageQuality::Standard => "standard",
ImageQuality::Hd => "hd",
ImageQuality::High => "high",
ImageQuality::Medium => "medium",
ImageQuality::Low => "low",
ImageQuality::Auto => "auto",
}
)
}
}
impl Display for ImageSize {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(
f,
"{}",
match self {
ImageSize::Size256X256 => "256x256",
ImageSize::Size512X512 => "512x512",
ImageSize::Size1024X1024 => "1024x1024",
ImageSize::Size1536X1024 => "1536x1024",
ImageSize::Size1024X1536 => "1024x1536",
ImageSize::Size1792X1024 => "1792x1024",
ImageSize::Size1024X1792 => "1024x1792",
ImageSize::Auto => "auto",
}
)
}
}
impl Display for MimeType {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(
f,
"{}",
match self {
MimeType::Png => "image/png",
MimeType::Jpeg => "image/jpeg",
MimeType::Webp => "image/webp",
MimeType::OctetStream => "application/octet-stream",
}
)
}
}
impl Display for ResponseFormat {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(
f,
"{}",
match self {
ResponseFormat::Url => "url",
ResponseFormat::B64Json => "b64_json",
}
)
}
}