Enums and Descriptions

Enum Definitions and JSON Representation

This document provides a comprehensive explanation of the enums used in the AdCreative API. These enums are essential for understanding the JSON requests and responses, enabling developers to use the correct values.


1. RenderKind

The RenderKind enum specifies the dimensions of the output renders. Each value corresponds to a specific size or group of sizes.

Definition

{
    "Unset": 0,
    "Post": 1,
    "Story": 2,
    "Landscape": 4,
    "Vertical": 8,
    "PinSize": 16,
    "Social": 31,
    "MediumBanner": 32,
    "LeaderBoard": 64,
    "WideSkyScraper": 128,
    "HalfPage": 256,
    "LargeLeaderboard": 512,
    "FullHD": 1024,
    "Portrait": 2048,
    "Widescreen": 4096,
    "VideoPortrait": 8192,
    "VideoLandscape": 16384,
    "Display": 992,
    "All": 1023
}

Description

Value
Description
Dimensions

Unset

No rendering type set.

N/A

Post

Square post size.

1080x1080 px

Story

Vertical story size.

1080x1920 px

Landscape

Landscape size for banners.

1200x628 px

Vertical

Vertical size for portrait ads.

1080x1350 px

PinSize

Pinterest-specific size.

1000x1500 px

Social

Combination of all social sizes.

Multiple sizes

MediumBanner

Medium rectangle banner.

300x250 px

LeaderBoard

Large horizontal banner.

728x90 px

WideSkyScraper

Tall vertical banner.

160x600 px

HalfPage

Large vertical half-page banner.

300x600 px

LargeLeaderboard

Large leaderboard banner.

970x90 px

FullHD

Full HD resolution.

1920x1080 px

Portrait

Portrait resolution.

768x1024 px

Widescreen

Widescreen resolution.

1024x768 px

VideoPortrait

Portrait-oriented video resolution.

768x1280 px

VideoLandscape

Landscape-oriented video resolution.

1280x768 px

Display

Combination of display ad sizes.

Multiple sizes

All

All possible sizes.

Multiple sizes


2. RenderType

The RenderType enum specifies the type of output render.

Definition

{
    "Unset": 0,
    "Html": 1,
    "Svg": 2,
    "AiProduct": 4,
    "AiImageUpscaling": 8,
    "AiProductCreative": 16,
    "AiImageGeneration": 32,
    "AiSampledImageGeneration": 64,
    "AiFaceEnhancing": 128,
    "AiInPainting": 1024,
    "AiOutPainting": 127,
    "AiDressing": 256,
    "AiDetailEnhancing": 512,
    "TemplateBased": 19,
    "AiGenerationBased": 100,
    "All": 127
}

Description

Value
Description

Unset

No render type set.

Html

HTML-based render (deprecated).

Svg

SVG format render.

AiProduct

AI-generated product images.

AiImageUpscaling

AI-based image upscaling.

AiProductCreative

AI-generated product creatives.

AiImageGeneration

AI-based image generation.

AiSampledImageGeneration

AI image generation using a sample.

AiFaceEnhancing

AI-based facial detail enhancement.

AiInPainting

AI-based in-painting for image restoration.

AiOutPainting

AI-based out-painting for extending images.

AiDressing

AI dressing of models.

AiDetailEnhancing

AI-based detail enhancement.

TemplateBased

Template-based rendering types.

AiGenerationBased

AI generation-related rendering types.

All

All rendering types.


3. RenderState

The RenderState enum describes the state of a rendering process.

Definition

{
    "NotStarted": 0,
    "Started": 1,
    "Scheduled": 2,
    "Cancelled": 3,
    "Failed": 4,
    "Succeeded": 5,
    "Default": 0
}

Description

Value
Description

NotStarted

The render process has not started.

Started

The render process has started.

Scheduled

The render process is scheduled.

Cancelled

The render process was cancelled.

Failed

The render process failed.

Succeeded

The render process succeeded.

Default

The default state (equivalent to NotStarted).


4. NotificationChannel

The NotificationChannel enum specifies the channel for notifications.

Definition

{
    "WebHook": 0,
    "SignalR": 1,
    "RabbitMQ": 2
}

Description

Value
Description

WebHook

Notifications are sent via WebHook.

SignalR

Notifications are sent via SignalR.

RabbitMQ

Notifications are sent via RabbitMQ.


This document serves as a reference for all enum definitions, ensuring consistent and correct usage in JSON requests and responses.


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