Implementation:Openai Openai python Image Edit Partial Event

Knowledge Sources	Openai_Openai_python OpenAI API Reference
Domains	API_Types, Python
Last Updated	2026-02-15 00:00 GMT

Overview

Concrete tool for representing a partial image during image editing streaming provided by the openai-python SDK.

Description

ImageEditPartialImageEvent is a Pydantic BaseModel emitted when a partial image is available during image editing streaming. It carries b64_json base64-encoded partial image data along with settings metadata: background, output_format, quality, and size. The partial_image_index field provides a 0-based index for ordering partial images during streaming. The type field is always "image_edit.partial_image".

Usage

Import ImageEditPartialImageEvent when processing streaming events from the image edit API to render progressive image updates before the final result arrives.

Code Reference

Source Location

• Repository: openai-python
• File: src/openai/types/image_edit_partial_image_event.py

Signature

class ImageEditPartialImageEvent(BaseModel):
    b64_json: str
    background: Literal["transparent", "opaque", "auto"]
    created_at: int
    output_format: Literal["png", "webp", "jpeg"]
    partial_image_index: int
    quality: Literal["low", "medium", "high", "auto"]
    size: Literal["1024x1024", "1024x1536", "1536x1024", "auto"]
    type: Literal["image_edit.partial_image"]

Import

from openai.types import ImageEditPartialImageEvent

I/O Contract

Fields

Name	Type	Required	Description
b64_json	str	Yes	Base64-encoded partial image data, suitable for rendering as an image.
background	Literal["transparent", "opaque", "auto"]	Yes	The background setting for the requested edited image.
created_at	int	Yes	Unix timestamp when the event was created.
output_format	Literal["png", "webp", "jpeg"]	Yes	The output format for the requested edited image.
partial_image_index	int	Yes	0-based index for the partial image during streaming.
quality	Literal["low", "medium", "high", "auto"]	Yes	The quality setting for the requested edited image.
size	Literal["1024x1024", "1024x1536", "1536x1024", "auto"]	Yes	The size of the requested edited image.
type	Literal["image_edit.partial_image"]	Yes	The event type. Always "image_edit.partial_image".

Usage Examples

from openai.types import ImageEditPartialImageEvent
import base64

# When processing streaming events from image edit
def handle_partial(event):
    if isinstance(event, ImageEditPartialImageEvent):
        print(f"Partial image #{event.partial_image_index}")
        print(f"Format: {event.output_format}, Size: {event.size}")
        # Render partial image for progressive display
        partial_data = base64.b64decode(event.b64_json)
        with open(f"partial_{event.partial_image_index}.png", "wb") as f:
            f.write(partial_data)

Related Pages

• Environment:Openai_Openai_python_Python_3_9_Plus