images.py

# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.

from __future__ import annotations

from typing import Union, Mapping, Optional, cast
from typing_extensions import Literal, overload

import httpx

from .. import _legacy_response
from ..types import image_edit_params, image_generate_params, image_create_variation_params
from .._types import Body, Omit, Query, Headers, NotGiven, FileTypes, SequenceNotStr, omit, not_given
from .._utils import extract_files, required_args, maybe_transform, deepcopy_minimal, async_maybe_transform
from .._compat import cached_property
from .._resource import SyncAPIResource, AsyncAPIResource
from .._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
from .._streaming import Stream, AsyncStream
from .._base_client import make_request_options
from ..types.image_model import ImageModel
from ..types.images_response import ImagesResponse
from ..types.image_gen_stream_event import ImageGenStreamEvent
from ..types.image_edit_stream_event import ImageEditStreamEvent

__all__ = ["Images", "AsyncImages"]


class Images(SyncAPIResource):
    """Given a prompt and/or an input image, the model will generate a new image."""

    @cached_property
    def with_raw_response(self) -> ImagesWithRawResponse:
        """
        This property can be used as a prefix for any HTTP method call to return
        the raw response object instead of the parsed content.

        For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
        """
        return ImagesWithRawResponse(self)

    @cached_property
    def with_streaming_response(self) -> ImagesWithStreamingResponse:
        """
        An alternative to `.with_raw_response` that doesn't eagerly read the response body.

        For more information, see https://www.github.com/openai/openai-python#with_streaming_response
        """
        return ImagesWithStreamingResponse(self)

    def create_variation(
        self,
        *,
        image: FileTypes,
        model: Union[str, ImageModel, None] | Omit = omit,
        n: Optional[int] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[Literal["256x256", "512x512", "1024x1024"]] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> ImagesResponse:
        """Creates a variation of a given image.

        This endpoint only supports `dall-e-2`.

        Args:
          image: The image to use as the basis for the variation(s). Must be a valid PNG file,
              less than 4MB, and square.

          model: The model to use for image generation. Only `dall-e-2` is supported at this
              time.

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

          response_format: 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.

          size: The size of the generated images. Must be one of `256x256`, `512x512`, or
              `1024x1024`.

          user: A unique identifier representing your end-user, which can help OpenAI to monitor
              and detect abuse.
              [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        body = deepcopy_minimal(
            {
                "image": image,
                "model": model,
                "n": n,
                "response_format": response_format,
                "size": size,
                "user": user,
            }
        )
        files = extract_files(cast(Mapping[str, object], body), paths=[["image"]])
        # It should be noted that the actual Content-Type header that will be
        # sent to the server will contain a `boundary` parameter, e.g.
        # multipart/form-data; boundary=---abc--
        extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
        return self._post(
            "/images/variations",
            body=maybe_transform(body, image_create_variation_params.ImageCreateVariationParams),
            files=files,
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=ImagesResponse,
        )

    @overload
    def edit(
        self,
        *,
        image: Union[FileTypes, SequenceNotStr[FileTypes]],
        prompt: str,
        background: Optional[Literal["transparent", "opaque", "auto"]] | Omit = omit,
        input_fidelity: Optional[Literal["high", "low"]] | Omit = omit,
        mask: FileTypes | Omit = omit,
        model: Union[str, ImageModel, None] | Omit = omit,
        n: Optional[int] | Omit = omit,
        output_compression: Optional[int] | Omit = omit,
        output_format: Optional[Literal["png", "jpeg", "webp"]] | Omit = omit,
        partial_images: Optional[int] | Omit = omit,
        quality: Optional[Literal["standard", "low", "medium", "high", "auto"]] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[Literal["256x256", "512x512", "1024x1024", "1536x1024", "1024x1536", "auto"]] | Omit = omit,
        stream: Optional[Literal[False]] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> ImagesResponse:
        """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`,
        `gpt-image-1-mini`, and `chatgpt-image-latest`) and `dall-e-2`.

        Args:
          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. `chatgpt-image-latest` follows the same
              input constraints as GPT image models.

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

          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.

          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`.

          input_fidelity: 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`.

          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`.

          model: The model to use for image generation. Defaults to `gpt-image-1.5`.

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

          output_compression: 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.

          output_format: 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`.

          partial_images: 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.

          quality: The quality of the image that will be generated for GPT image models. Defaults
              to `auto`.

          response_format: 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` (default is `url` for
              `dall-e-2`), as GPT image models always return base64-encoded images.

          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`.

          stream: Edit the image in streaming mode. Defaults to `false`. See the
              [Image generation guide](https://platform.openai.com/docs/guides/image-generation)
              for more information.

          user: A unique identifier representing your end-user, which can help OpenAI to monitor
              and detect abuse.
              [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        ...

    @overload
    def edit(
        self,
        *,
        image: Union[FileTypes, SequenceNotStr[FileTypes]],
        prompt: str,
        stream: Literal[True],
        background: Optional[Literal["transparent", "opaque", "auto"]] | Omit = omit,
        input_fidelity: Optional[Literal["high", "low"]] | Omit = omit,
        mask: FileTypes | Omit = omit,
        model: Union[str, ImageModel, None] | Omit = omit,
        n: Optional[int] | Omit = omit,
        output_compression: Optional[int] | Omit = omit,
        output_format: Optional[Literal["png", "jpeg", "webp"]] | Omit = omit,
        partial_images: Optional[int] | Omit = omit,
        quality: Optional[Literal["standard", "low", "medium", "high", "auto"]] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[Literal["256x256", "512x512", "1024x1024", "1536x1024", "1024x1536", "auto"]] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> Stream[ImageEditStreamEvent]:
        """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`,
        `gpt-image-1-mini`, and `chatgpt-image-latest`) and `dall-e-2`.

        Args:
          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. `chatgpt-image-latest` follows the same
              input constraints as GPT image models.

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

          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.

          stream: Edit the image in streaming mode. Defaults to `false`. See the
              [Image generation guide](https://platform.openai.com/docs/guides/image-generation)
              for more information.

          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`.

          input_fidelity: 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`.

          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`.

          model: The model to use for image generation. Defaults to `gpt-image-1.5`.

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

          output_compression: 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.

          output_format: 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`.

          partial_images: 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.

          quality: The quality of the image that will be generated for GPT image models. Defaults
              to `auto`.

          response_format: 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` (default is `url` for
              `dall-e-2`), as GPT image models always return base64-encoded images.

          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`.

          user: A unique identifier representing your end-user, which can help OpenAI to monitor
              and detect abuse.
              [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        ...

    @overload
    def edit(
        self,
        *,
        image: Union[FileTypes, SequenceNotStr[FileTypes]],
        prompt: str,
        stream: bool,
        background: Optional[Literal["transparent", "opaque", "auto"]] | Omit = omit,
        input_fidelity: Optional[Literal["high", "low"]] | Omit = omit,
        mask: FileTypes | Omit = omit,
        model: Union[str, ImageModel, None] | Omit = omit,
        n: Optional[int] | Omit = omit,
        output_compression: Optional[int] | Omit = omit,
        output_format: Optional[Literal["png", "jpeg", "webp"]] | Omit = omit,
        partial_images: Optional[int] | Omit = omit,
        quality: Optional[Literal["standard", "low", "medium", "high", "auto"]] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[Literal["256x256", "512x512", "1024x1024", "1536x1024", "1024x1536", "auto"]] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> ImagesResponse | Stream[ImageEditStreamEvent]:
        """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`,
        `gpt-image-1-mini`, and `chatgpt-image-latest`) and `dall-e-2`.

        Args:
          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. `chatgpt-image-latest` follows the same
              input constraints as GPT image models.

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

          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.

          stream: Edit the image in streaming mode. Defaults to `false`. See the
              [Image generation guide](https://platform.openai.com/docs/guides/image-generation)
              for more information.

          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`.

          input_fidelity: 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`.

          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`.

          model: The model to use for image generation. Defaults to `gpt-image-1.5`.

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

          output_compression: 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.

          output_format: 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`.

          partial_images: 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.

          quality: The quality of the image that will be generated for GPT image models. Defaults
              to `auto`.

          response_format: 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` (default is `url` for
              `dall-e-2`), as GPT image models always return base64-encoded images.

          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`.

          user: A unique identifier representing your end-user, which can help OpenAI to monitor
              and detect abuse.
              [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        ...

    @required_args(["image", "prompt"], ["image", "prompt", "stream"])
    def edit(
        self,
        *,
        image: Union[FileTypes, SequenceNotStr[FileTypes]],
        prompt: str,
        background: Optional[Literal["transparent", "opaque", "auto"]] | Omit = omit,
        input_fidelity: Optional[Literal["high", "low"]] | Omit = omit,
        mask: FileTypes | Omit = omit,
        model: Union[str, ImageModel, None] | Omit = omit,
        n: Optional[int] | Omit = omit,
        output_compression: Optional[int] | Omit = omit,
        output_format: Optional[Literal["png", "jpeg", "webp"]] | Omit = omit,
        partial_images: Optional[int] | Omit = omit,
        quality: Optional[Literal["standard", "low", "medium", "high", "auto"]] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[Literal["256x256", "512x512", "1024x1024", "1536x1024", "1024x1536", "auto"]] | Omit = omit,
        stream: Optional[Literal[False]] | Literal[True] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> ImagesResponse | Stream[ImageEditStreamEvent]:
        body = deepcopy_minimal(
            {
                "image": image,
                "prompt": prompt,
                "background": background,
                "input_fidelity": input_fidelity,
                "mask": mask,
                "model": model,
                "n": n,
                "output_compression": output_compression,
                "output_format": output_format,
                "partial_images": partial_images,
                "quality": quality,
                "response_format": response_format,
                "size": size,
                "stream": stream,
                "user": user,
            }
        )
        files = extract_files(cast(Mapping[str, object], body), paths=[["image"], ["image", "<array>"], ["mask"]])
        # It should be noted that the actual Content-Type header that will be
        # sent to the server will contain a `boundary` parameter, e.g.
        # multipart/form-data; boundary=---abc--
        extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
        return self._post(
            "/images/edits",
            body=maybe_transform(
                body,
                image_edit_params.ImageEditParamsStreaming if stream else image_edit_params.ImageEditParamsNonStreaming,
            ),
            files=files,
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=ImagesResponse,
            stream=stream or False,
            stream_cls=Stream[ImageEditStreamEvent],
        )

    @overload
    def generate(
        self,
        *,
        prompt: str,
        background: Optional[Literal["transparent", "opaque", "auto"]] | Omit = omit,
        model: Union[str, ImageModel, None] | Omit = omit,
        moderation: Optional[Literal["low", "auto"]] | Omit = omit,
        n: Optional[int] | Omit = omit,
        output_compression: Optional[int] | Omit = omit,
        output_format: Optional[Literal["png", "jpeg", "webp"]] | Omit = omit,
        partial_images: Optional[int] | Omit = omit,
        quality: Optional[Literal["standard", "hd", "low", "medium", "high", "auto"]] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[
            Literal["auto", "1024x1024", "1536x1024", "1024x1536", "256x256", "512x512", "1792x1024", "1024x1792"]
        ]
        | Omit = omit,
        stream: Optional[Literal[False]] | Omit = omit,
        style: Optional[Literal["vivid", "natural"]] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> ImagesResponse:
        """
        Creates an image given a prompt.
        [Learn more](https://platform.openai.com/docs/guides/images).

        Args:
          prompt: A text description of the desired image(s). The maximum length is 32000
              characters for the GPT image models, 1000 characters for `dall-e-2` and 4000
              characters for `dall-e-3`.

          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`.

          model: The model to use for image generation. One of `dall-e-2`, `dall-e-3`, or a GPT
              image model (`gpt-image-1`, `gpt-image-1-mini`, `gpt-image-1.5`). Defaults to
              `dall-e-2` unless a parameter specific to the GPT image models is used.

          moderation: Control the content-moderation level for images generated by the GPT image
              models. Must be either `low` for less restrictive filtering or `auto` (default
              value).

          n: The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
              `n=1` is supported.

          output_compression: 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.

          output_format: 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`.

          partial_images: 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.

          quality: The quality of the image that will be generated.

              - `auto` (default value) will automatically select the best quality for the
                given model.
              - `high`, `medium` and `low` are supported for the GPT image models.
              - `hd` and `standard` are supported for `dall-e-3`.
              - `standard` is the only option for `dall-e-2`.

          response_format: The format in which generated images with `dall-e-2` and `dall-e-3` 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 isn't supported for the GPT
              image models, which always return base64-encoded images.

          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, one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`, and one of
              `1024x1024`, `1792x1024`, or `1024x1792` for `dall-e-3`.

          stream: Generate the image in streaming mode. Defaults to `false`. See the
              [Image generation guide](https://platform.openai.com/docs/guides/image-generation)
              for more information. This parameter is only supported for the GPT image models.

          style: 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.

          user: A unique identifier representing your end-user, which can help OpenAI to monitor
              and detect abuse.
              [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        ...

    @overload
    def generate(
        self,
        *,
        prompt: str,
        stream: Literal[True],
        background: Optional[Literal["transparent", "opaque", "auto"]] | Omit = omit,
        model: Union[str, ImageModel, None] | Omit = omit,
        moderation: Optional[Literal["low", "auto"]] | Omit = omit,
        n: Optional[int] | Omit = omit,
        output_compression: Optional[int] | Omit = omit,
        output_format: Optional[Literal["png", "jpeg", "webp"]] | Omit = omit,
        partial_images: Optional[int] | Omit = omit,
        quality: Optional[Literal["standard", "hd", "low", "medium", "high", "auto"]] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[
            Literal["auto", "1024x1024", "1536x1024", "1024x1536", "256x256", "512x512", "1792x1024", "1024x1792"]
        ]
        | Omit = omit,
        style: Optional[Literal["vivid", "natural"]] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> Stream[ImageGenStreamEvent]:
        """
        Creates an image given a prompt.
        [Learn more](https://platform.openai.com/docs/guides/images).

        Args:
          prompt: A text description of the desired image(s). The maximum length is 32000
              characters for the GPT image models, 1000 characters for `dall-e-2` and 4000
              characters for `dall-e-3`.

          stream: Generate the image in streaming mode. Defaults to `false`. See the
              [Image generation guide](https://platform.openai.com/docs/guides/image-generation)
              for more information. This parameter is only supported for the GPT image models.

          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`.

          model: The model to use for image generation. One of `dall-e-2`, `dall-e-3`, or a GPT
              image model (`gpt-image-1`, `gpt-image-1-mini`, `gpt-image-1.5`). Defaults to
              `dall-e-2` unless a parameter specific to the GPT image models is used.

          moderation: Control the content-moderation level for images generated by the GPT image
              models. Must be either `low` for less restrictive filtering or `auto` (default
              value).

          n: The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
              `n=1` is supported.

          output_compression: 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.

          output_format: 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`.

          partial_images: 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.

          quality: The quality of the image that will be generated.

              - `auto` (default value) will automatically select the best quality for the
                given model.
              - `high`, `medium` and `low` are supported for the GPT image models.
              - `hd` and `standard` are supported for `dall-e-3`.
              - `standard` is the only option for `dall-e-2`.

          response_format: The format in which generated images with `dall-e-2` and `dall-e-3` 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 isn't supported for the GPT
              image models, which always return base64-encoded images.

          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, one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`, and one of
              `1024x1024`, `1792x1024`, or `1024x1792` for `dall-e-3`.

          style: 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.

          user: A unique identifier representing your end-user, which can help OpenAI to monitor
              and detect abuse.
              [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        ...

    @overload
    def generate(
        self,
        *,
        prompt: str,
        stream: bool,
        background: Optional[Literal["transparent", "opaque", "auto"]] | Omit = omit,
        model: Union[str, ImageModel, None] | Omit = omit,
        moderation: Optional[Literal["low", "auto"]] | Omit = omit,
        n: Optional[int] | Omit = omit,
        output_compression: Optional[int] | Omit = omit,
        output_format: Optional[Literal["png", "jpeg", "webp"]] | Omit = omit,
        partial_images: Optional[int] | Omit = omit,
        quality: Optional[Literal["standard", "hd", "low", "medium", "high", "auto"]] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[
            Literal["auto", "1024x1024", "1536x1024", "1024x1536", "256x256", "512x512", "1792x1024", "1024x1792"]
        ]
        | Omit = omit,
        style: Optional[Literal["vivid", "natural"]] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> ImagesResponse | Stream[ImageGenStreamEvent]:
        """
        Creates an image given a prompt.
        [Learn more](https://platform.openai.com/docs/guides/images).

        Args:
          prompt: A text description of the desired image(s). The maximum length is 32000
              characters for the GPT image models, 1000 characters for `dall-e-2` and 4000
              characters for `dall-e-3`.

          stream: Generate the image in streaming mode. Defaults to `false`. See the
              [Image generation guide](https://platform.openai.com/docs/guides/image-generation)
              for more information. This parameter is only supported for the GPT image models.

          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`.

          model: The model to use for image generation. One of `dall-e-2`, `dall-e-3`, or a GPT
              image model (`gpt-image-1`, `gpt-image-1-mini`, `gpt-image-1.5`). Defaults to
              `dall-e-2` unless a parameter specific to the GPT image models is used.

          moderation: Control the content-moderation level for images generated by the GPT image
              models. Must be either `low` for less restrictive filtering or `auto` (default
              value).

          n: The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
              `n=1` is supported.

          output_compression: 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.

          output_format: 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`.

          partial_images: 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.

          quality: The quality of the image that will be generated.

              - `auto` (default value) will automatically select the best quality for the
                given model.
              - `high`, `medium` and `low` are supported for the GPT image models.
              - `hd` and `standard` are supported for `dall-e-3`.
              - `standard` is the only option for `dall-e-2`.

          response_format: The format in which generated images with `dall-e-2` and `dall-e-3` 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 isn't supported for the GPT
              image models, which always return base64-encoded images.

          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, one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`, and one of
              `1024x1024`, `1792x1024`, or `1024x1792` for `dall-e-3`.

          style: 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.

          user: A unique identifier representing your end-user, which can help OpenAI to monitor
              and detect abuse.
              [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        ...

    @required_args(["prompt"], ["prompt", "stream"])
    def generate(
        self,
        *,
        prompt: str,
        background: Optional[Literal["transparent", "opaque", "auto"]] | Omit = omit,
        model: Union[str, ImageModel, None] | Omit = omit,
        moderation: Optional[Literal["low", "auto"]] | Omit = omit,
        n: Optional[int] | Omit = omit,
        output_compression: Optional[int] | Omit = omit,
        output_format: Optional[Literal["png", "jpeg", "webp"]] | Omit = omit,
        partial_images: Optional[int] | Omit = omit,
        quality: Optional[Literal["standard", "hd", "low", "medium", "high", "auto"]] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[
            Literal["auto", "1024x1024", "1536x1024", "1024x1536", "256x256", "512x512", "1792x1024", "1024x1792"]
        ]
        | Omit = omit,
        stream: Optional[Literal[False]] | Literal[True] | Omit = omit,
        style: Optional[Literal["vivid", "natural"]] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> ImagesResponse | Stream[ImageGenStreamEvent]:
        return self._post(
            "/images/generations",
            body=maybe_transform(
                {
                    "prompt": prompt,
                    "background": background,
                    "model": model,
                    "moderation": moderation,
                    "n": n,
                    "output_compression": output_compression,
                    "output_format": output_format,
                    "partial_images": partial_images,
                    "quality": quality,
                    "response_format": response_format,
                    "size": size,
                    "stream": stream,
                    "style": style,
                    "user": user,
                },
                image_generate_params.ImageGenerateParamsStreaming
                if stream
                else image_generate_params.ImageGenerateParamsNonStreaming,
            ),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=ImagesResponse,
            stream=stream or False,
            stream_cls=Stream[ImageGenStreamEvent],
        )


class AsyncImages(AsyncAPIResource):
    """Given a prompt and/or an input image, the model will generate a new image."""

    @cached_property
    def with_raw_response(self) -> AsyncImagesWithRawResponse:
        """
        This property can be used as a prefix for any HTTP method call to return
        the raw response object instead of the parsed content.

        For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
        """
        return AsyncImagesWithRawResponse(self)

    @cached_property
    def with_streaming_response(self) -> AsyncImagesWithStreamingResponse:
        """
        An alternative to `.with_raw_response` that doesn't eagerly read the response body.

        For more information, see https://www.github.com/openai/openai-python#with_streaming_response
        """
        return AsyncImagesWithStreamingResponse(self)

    async def create_variation(
        self,
        *,
        image: FileTypes,
        model: Union[str, ImageModel, None] | Omit = omit,
        n: Optional[int] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[Literal["256x256", "512x512", "1024x1024"]] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> ImagesResponse:
        """Creates a variation of a given image.

        This endpoint only supports `dall-e-2`.

        Args:
          image: The image to use as the basis for the variation(s). Must be a valid PNG file,
              less than 4MB, and square.

          model: The model to use for image generation. Only `dall-e-2` is supported at this
              time.

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

          response_format: 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.

          size: The size of the generated images. Must be one of `256x256`, `512x512`, or
              `1024x1024`.

          user: A unique identifier representing your end-user, which can help OpenAI to monitor
              and detect abuse.
              [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        body = deepcopy_minimal(
            {
                "image": image,
                "model": model,
                "n": n,
                "response_format": response_format,
                "size": size,
                "user": user,
            }
        )
        files = extract_files(cast(Mapping[str, object], body), paths=[["image"]])
        # It should be noted that the actual Content-Type header that will be
        # sent to the server will contain a `boundary` parameter, e.g.
        # multipart/form-data; boundary=---abc--
        extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
        return await self._post(
            "/images/variations",
            body=await async_maybe_transform(body, image_create_variation_params.ImageCreateVariationParams),
            files=files,
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=ImagesResponse,
        )

    @overload
    async def edit(
        self,
        *,
        image: Union[FileTypes, SequenceNotStr[FileTypes]],
        prompt: str,
        background: Optional[Literal["transparent", "opaque", "auto"]] | Omit = omit,
        input_fidelity: Optional[Literal["high", "low"]] | Omit = omit,
        mask: FileTypes | Omit = omit,
        model: Union[str, ImageModel, None] | Omit = omit,
        n: Optional[int] | Omit = omit,
        output_compression: Optional[int] | Omit = omit,
        output_format: Optional[Literal["png", "jpeg", "webp"]] | Omit = omit,
        partial_images: Optional[int] | Omit = omit,
        quality: Optional[Literal["standard", "low", "medium", "high", "auto"]] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[Literal["256x256", "512x512", "1024x1024", "1536x1024", "1024x1536", "auto"]] | Omit = omit,
        stream: Optional[Literal[False]] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> ImagesResponse:
        """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`,
        `gpt-image-1-mini`, and `chatgpt-image-latest`) and `dall-e-2`.

        Args:
          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. `chatgpt-image-latest` follows the same
              input constraints as GPT image models.

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

          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.

          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`.

          input_fidelity: 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`.

          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`.

          model: The model to use for image generation. Defaults to `gpt-image-1.5`.

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

          output_compression: 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.

          output_format: 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`.

          partial_images: 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.

          quality: The quality of the image that will be generated for GPT image models. Defaults
              to `auto`.

          response_format: 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` (default is `url` for
              `dall-e-2`), as GPT image models always return base64-encoded images.

          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`.

          stream: Edit the image in streaming mode. Defaults to `false`. See the
              [Image generation guide](https://platform.openai.com/docs/guides/image-generation)
              for more information.

          user: A unique identifier representing your end-user, which can help OpenAI to monitor
              and detect abuse.
              [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        ...

    @overload
    async def edit(
        self,
        *,
        image: Union[FileTypes, SequenceNotStr[FileTypes]],
        prompt: str,
        stream: Literal[True],
        background: Optional[Literal["transparent", "opaque", "auto"]] | Omit = omit,
        input_fidelity: Optional[Literal["high", "low"]] | Omit = omit,
        mask: FileTypes | Omit = omit,
        model: Union[str, ImageModel, None] | Omit = omit,
        n: Optional[int] | Omit = omit,
        output_compression: Optional[int] | Omit = omit,
        output_format: Optional[Literal["png", "jpeg", "webp"]] | Omit = omit,
        partial_images: Optional[int] | Omit = omit,
        quality: Optional[Literal["standard", "low", "medium", "high", "auto"]] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[Literal["256x256", "512x512", "1024x1024", "1536x1024", "1024x1536", "auto"]] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> AsyncStream[ImageEditStreamEvent]:
        """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`,
        `gpt-image-1-mini`, and `chatgpt-image-latest`) and `dall-e-2`.

        Args:
          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. `chatgpt-image-latest` follows the same
              input constraints as GPT image models.

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

          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.

          stream: Edit the image in streaming mode. Defaults to `false`. See the
              [Image generation guide](https://platform.openai.com/docs/guides/image-generation)
              for more information.

          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`.

          input_fidelity: 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`.

          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`.

          model: The model to use for image generation. Defaults to `gpt-image-1.5`.

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

          output_compression: 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.

          output_format: 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`.

          partial_images: 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.

          quality: The quality of the image that will be generated for GPT image models. Defaults
              to `auto`.

          response_format: 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` (default is `url` for
              `dall-e-2`), as GPT image models always return base64-encoded images.

          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`.

          user: A unique identifier representing your end-user, which can help OpenAI to monitor
              and detect abuse.
              [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        ...

    @overload
    async def edit(
        self,
        *,
        image: Union[FileTypes, SequenceNotStr[FileTypes]],
        prompt: str,
        stream: bool,
        background: Optional[Literal["transparent", "opaque", "auto"]] | Omit = omit,
        input_fidelity: Optional[Literal["high", "low"]] | Omit = omit,
        mask: FileTypes | Omit = omit,
        model: Union[str, ImageModel, None] | Omit = omit,
        n: Optional[int] | Omit = omit,
        output_compression: Optional[int] | Omit = omit,
        output_format: Optional[Literal["png", "jpeg", "webp"]] | Omit = omit,
        partial_images: Optional[int] | Omit = omit,
        quality: Optional[Literal["standard", "low", "medium", "high", "auto"]] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[Literal["256x256", "512x512", "1024x1024", "1536x1024", "1024x1536", "auto"]] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> ImagesResponse | AsyncStream[ImageEditStreamEvent]:
        """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`,
        `gpt-image-1-mini`, and `chatgpt-image-latest`) and `dall-e-2`.

        Args:
          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. `chatgpt-image-latest` follows the same
              input constraints as GPT image models.

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

          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.

          stream: Edit the image in streaming mode. Defaults to `false`. See the
              [Image generation guide](https://platform.openai.com/docs/guides/image-generation)
              for more information.

          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`.

          input_fidelity: 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`.

          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`.

          model: The model to use for image generation. Defaults to `gpt-image-1.5`.

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

          output_compression: 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.

          output_format: 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`.

          partial_images: 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.

          quality: The quality of the image that will be generated for GPT image models. Defaults
              to `auto`.

          response_format: 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` (default is `url` for
              `dall-e-2`), as GPT image models always return base64-encoded images.

          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`.

          user: A unique identifier representing your end-user, which can help OpenAI to monitor
              and detect abuse.
              [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        ...

    @required_args(["image", "prompt"], ["image", "prompt", "stream"])
    async def edit(
        self,
        *,
        image: Union[FileTypes, SequenceNotStr[FileTypes]],
        prompt: str,
        background: Optional[Literal["transparent", "opaque", "auto"]] | Omit = omit,
        input_fidelity: Optional[Literal["high", "low"]] | Omit = omit,
        mask: FileTypes | Omit = omit,
        model: Union[str, ImageModel, None] | Omit = omit,
        n: Optional[int] | Omit = omit,
        output_compression: Optional[int] | Omit = omit,
        output_format: Optional[Literal["png", "jpeg", "webp"]] | Omit = omit,
        partial_images: Optional[int] | Omit = omit,
        quality: Optional[Literal["standard", "low", "medium", "high", "auto"]] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[Literal["256x256", "512x512", "1024x1024", "1536x1024", "1024x1536", "auto"]] | Omit = omit,
        stream: Optional[Literal[False]] | Literal[True] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> ImagesResponse | AsyncStream[ImageEditStreamEvent]:
        body = deepcopy_minimal(
            {
                "image": image,
                "prompt": prompt,
                "background": background,
                "input_fidelity": input_fidelity,
                "mask": mask,
                "model": model,
                "n": n,
                "output_compression": output_compression,
                "output_format": output_format,
                "partial_images": partial_images,
                "quality": quality,
                "response_format": response_format,
                "size": size,
                "stream": stream,
                "user": user,
            }
        )
        files = extract_files(cast(Mapping[str, object], body), paths=[["image"], ["image", "<array>"], ["mask"]])
        # It should be noted that the actual Content-Type header that will be
        # sent to the server will contain a `boundary` parameter, e.g.
        # multipart/form-data; boundary=---abc--
        extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
        return await self._post(
            "/images/edits",
            body=await async_maybe_transform(
                body,
                image_edit_params.ImageEditParamsStreaming if stream else image_edit_params.ImageEditParamsNonStreaming,
            ),
            files=files,
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=ImagesResponse,
            stream=stream or False,
            stream_cls=AsyncStream[ImageEditStreamEvent],
        )

    @overload
    async def generate(
        self,
        *,
        prompt: str,
        background: Optional[Literal["transparent", "opaque", "auto"]] | Omit = omit,
        model: Union[str, ImageModel, None] | Omit = omit,
        moderation: Optional[Literal["low", "auto"]] | Omit = omit,
        n: Optional[int] | Omit = omit,
        output_compression: Optional[int] | Omit = omit,
        output_format: Optional[Literal["png", "jpeg", "webp"]] | Omit = omit,
        partial_images: Optional[int] | Omit = omit,
        quality: Optional[Literal["standard", "hd", "low", "medium", "high", "auto"]] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[
            Literal["auto", "1024x1024", "1536x1024", "1024x1536", "256x256", "512x512", "1792x1024", "1024x1792"]
        ]
        | Omit = omit,
        stream: Optional[Literal[False]] | Omit = omit,
        style: Optional[Literal["vivid", "natural"]] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> ImagesResponse:
        """
        Creates an image given a prompt.
        [Learn more](https://platform.openai.com/docs/guides/images).

        Args:
          prompt: A text description of the desired image(s). The maximum length is 32000
              characters for the GPT image models, 1000 characters for `dall-e-2` and 4000
              characters for `dall-e-3`.

          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`.

          model: The model to use for image generation. One of `dall-e-2`, `dall-e-3`, or a GPT
              image model (`gpt-image-1`, `gpt-image-1-mini`, `gpt-image-1.5`). Defaults to
              `dall-e-2` unless a parameter specific to the GPT image models is used.

          moderation: Control the content-moderation level for images generated by the GPT image
              models. Must be either `low` for less restrictive filtering or `auto` (default
              value).

          n: The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
              `n=1` is supported.

          output_compression: 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.

          output_format: 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`.

          partial_images: 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.

          quality: The quality of the image that will be generated.

              - `auto` (default value) will automatically select the best quality for the
                given model.
              - `high`, `medium` and `low` are supported for the GPT image models.
              - `hd` and `standard` are supported for `dall-e-3`.
              - `standard` is the only option for `dall-e-2`.

          response_format: The format in which generated images with `dall-e-2` and `dall-e-3` 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 isn't supported for the GPT
              image models, which always return base64-encoded images.

          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, one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`, and one of
              `1024x1024`, `1792x1024`, or `1024x1792` for `dall-e-3`.

          stream: Generate the image in streaming mode. Defaults to `false`. See the
              [Image generation guide](https://platform.openai.com/docs/guides/image-generation)
              for more information. This parameter is only supported for the GPT image models.

          style: 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.

          user: A unique identifier representing your end-user, which can help OpenAI to monitor
              and detect abuse.
              [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        ...

    @overload
    async def generate(
        self,
        *,
        prompt: str,
        stream: Literal[True],
        background: Optional[Literal["transparent", "opaque", "auto"]] | Omit = omit,
        model: Union[str, ImageModel, None] | Omit = omit,
        moderation: Optional[Literal["low", "auto"]] | Omit = omit,
        n: Optional[int] | Omit = omit,
        output_compression: Optional[int] | Omit = omit,
        output_format: Optional[Literal["png", "jpeg", "webp"]] | Omit = omit,
        partial_images: Optional[int] | Omit = omit,
        quality: Optional[Literal["standard", "hd", "low", "medium", "high", "auto"]] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[
            Literal["auto", "1024x1024", "1536x1024", "1024x1536", "256x256", "512x512", "1792x1024", "1024x1792"]
        ]
        | Omit = omit,
        style: Optional[Literal["vivid", "natural"]] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> AsyncStream[ImageGenStreamEvent]:
        """
        Creates an image given a prompt.
        [Learn more](https://platform.openai.com/docs/guides/images).

        Args:
          prompt: A text description of the desired image(s). The maximum length is 32000
              characters for the GPT image models, 1000 characters for `dall-e-2` and 4000
              characters for `dall-e-3`.

          stream: Generate the image in streaming mode. Defaults to `false`. See the
              [Image generation guide](https://platform.openai.com/docs/guides/image-generation)
              for more information. This parameter is only supported for the GPT image models.

          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`.

          model: The model to use for image generation. One of `dall-e-2`, `dall-e-3`, or a GPT
              image model (`gpt-image-1`, `gpt-image-1-mini`, `gpt-image-1.5`). Defaults to
              `dall-e-2` unless a parameter specific to the GPT image models is used.

          moderation: Control the content-moderation level for images generated by the GPT image
              models. Must be either `low` for less restrictive filtering or `auto` (default
              value).

          n: The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
              `n=1` is supported.

          output_compression: 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.

          output_format: 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`.

          partial_images: 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.

          quality: The quality of the image that will be generated.

              - `auto` (default value) will automatically select the best quality for the
                given model.
              - `high`, `medium` and `low` are supported for the GPT image models.
              - `hd` and `standard` are supported for `dall-e-3`.
              - `standard` is the only option for `dall-e-2`.

          response_format: The format in which generated images with `dall-e-2` and `dall-e-3` 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 isn't supported for the GPT
              image models, which always return base64-encoded images.

          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, one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`, and one of
              `1024x1024`, `1792x1024`, or `1024x1792` for `dall-e-3`.

          style: 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.

          user: A unique identifier representing your end-user, which can help OpenAI to monitor
              and detect abuse.
              [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        ...

    @overload
    async def generate(
        self,
        *,
        prompt: str,
        stream: bool,
        background: Optional[Literal["transparent", "opaque", "auto"]] | Omit = omit,
        model: Union[str, ImageModel, None] | Omit = omit,
        moderation: Optional[Literal["low", "auto"]] | Omit = omit,
        n: Optional[int] | Omit = omit,
        output_compression: Optional[int] | Omit = omit,
        output_format: Optional[Literal["png", "jpeg", "webp"]] | Omit = omit,
        partial_images: Optional[int] | Omit = omit,
        quality: Optional[Literal["standard", "hd", "low", "medium", "high", "auto"]] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[
            Literal["auto", "1024x1024", "1536x1024", "1024x1536", "256x256", "512x512", "1792x1024", "1024x1792"]
        ]
        | Omit = omit,
        style: Optional[Literal["vivid", "natural"]] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> ImagesResponse | AsyncStream[ImageGenStreamEvent]:
        """
        Creates an image given a prompt.
        [Learn more](https://platform.openai.com/docs/guides/images).

        Args:
          prompt: A text description of the desired image(s). The maximum length is 32000
              characters for the GPT image models, 1000 characters for `dall-e-2` and 4000
              characters for `dall-e-3`.

          stream: Generate the image in streaming mode. Defaults to `false`. See the
              [Image generation guide](https://platform.openai.com/docs/guides/image-generation)
              for more information. This parameter is only supported for the GPT image models.

          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`.

          model: The model to use for image generation. One of `dall-e-2`, `dall-e-3`, or a GPT
              image model (`gpt-image-1`, `gpt-image-1-mini`, `gpt-image-1.5`). Defaults to
              `dall-e-2` unless a parameter specific to the GPT image models is used.

          moderation: Control the content-moderation level for images generated by the GPT image
              models. Must be either `low` for less restrictive filtering or `auto` (default
              value).

          n: The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
              `n=1` is supported.

          output_compression: 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.

          output_format: 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`.

          partial_images: 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.

          quality: The quality of the image that will be generated.

              - `auto` (default value) will automatically select the best quality for the
                given model.
              - `high`, `medium` and `low` are supported for the GPT image models.
              - `hd` and `standard` are supported for `dall-e-3`.
              - `standard` is the only option for `dall-e-2`.

          response_format: The format in which generated images with `dall-e-2` and `dall-e-3` 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 isn't supported for the GPT
              image models, which always return base64-encoded images.

          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, one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`, and one of
              `1024x1024`, `1792x1024`, or `1024x1792` for `dall-e-3`.

          style: 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.

          user: A unique identifier representing your end-user, which can help OpenAI to monitor
              and detect abuse.
              [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        ...

    @required_args(["prompt"], ["prompt", "stream"])
    async def generate(
        self,
        *,
        prompt: str,
        background: Optional[Literal["transparent", "opaque", "auto"]] | Omit = omit,
        model: Union[str, ImageModel, None] | Omit = omit,
        moderation: Optional[Literal["low", "auto"]] | Omit = omit,
        n: Optional[int] | Omit = omit,
        output_compression: Optional[int] | Omit = omit,
        output_format: Optional[Literal["png", "jpeg", "webp"]] | Omit = omit,
        partial_images: Optional[int] | Omit = omit,
        quality: Optional[Literal["standard", "hd", "low", "medium", "high", "auto"]] | Omit = omit,
        response_format: Optional[Literal["url", "b64_json"]] | Omit = omit,
        size: Optional[
            Literal["auto", "1024x1024", "1536x1024", "1024x1536", "256x256", "512x512", "1792x1024", "1024x1792"]
        ]
        | Omit = omit,
        stream: Optional[Literal[False]] | Literal[True] | Omit = omit,
        style: Optional[Literal["vivid", "natural"]] | Omit = omit,
        user: str | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> ImagesResponse | AsyncStream[ImageGenStreamEvent]:
        return await self._post(
            "/images/generations",
            body=await async_maybe_transform(
                {
                    "prompt": prompt,
                    "background": background,
                    "model": model,
                    "moderation": moderation,
                    "n": n,
                    "output_compression": output_compression,
                    "output_format": output_format,
                    "partial_images": partial_images,
                    "quality": quality,
                    "response_format": response_format,
                    "size": size,
                    "stream": stream,
                    "style": style,
                    "user": user,
                },
                image_generate_params.ImageGenerateParamsStreaming
                if stream
                else image_generate_params.ImageGenerateParamsNonStreaming,
            ),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=ImagesResponse,
            stream=stream or False,
            stream_cls=AsyncStream[ImageGenStreamEvent],
        )


class ImagesWithRawResponse:
    def __init__(self, images: Images) -> None:
        self._images = images

        self.create_variation = _legacy_response.to_raw_response_wrapper(
            images.create_variation,
        )
        self.edit = _legacy_response.to_raw_response_wrapper(
            images.edit,
        )
        self.generate = _legacy_response.to_raw_response_wrapper(
            images.generate,
        )


class AsyncImagesWithRawResponse:
    def __init__(self, images: AsyncImages) -> None:
        self._images = images

        self.create_variation = _legacy_response.async_to_raw_response_wrapper(
            images.create_variation,
        )
        self.edit = _legacy_response.async_to_raw_response_wrapper(
            images.edit,
        )
        self.generate = _legacy_response.async_to_raw_response_wrapper(
            images.generate,
        )


class ImagesWithStreamingResponse:
    def __init__(self, images: Images) -> None:
        self._images = images

        self.create_variation = to_streamed_response_wrapper(
            images.create_variation,
        )
        self.edit = to_streamed_response_wrapper(
            images.edit,
        )
        self.generate = to_streamed_response_wrapper(
            images.generate,
        )


class AsyncImagesWithStreamingResponse:
    def __init__(self, images: AsyncImages) -> None:
        self._images = images

        self.create_variation = async_to_streamed_response_wrapper(
            images.create_variation,
        )
        self.edit = async_to_streamed_response_wrapper(
            images.edit,
        )
        self.generate = async_to_streamed_response_wrapper(
            images.generate,
        )