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Wan 2.6 - Text to Video
OpenAPI Specification
yaml
openapi: 3.0.1
info:
title: ''
description: ''
version: 1.0.0
paths:
/api/v1/jobs/createTask:
post:
summary: Wan 2.6 - Text to Video
deprecated: false
description: >-
High-quality video generation from text descriptions powered by Wan's
advanced AI model
## Overview
Generate videos directly from text descriptions using the Wan 2.6 Text
to Video model. This model creates dynamic video content from natural
language prompts without requiring any input images.
## Usage Tips
::: info
- Supports both Chinese and English prompts
- Maximum prompt length: 5,000 characters
- Minimum prompt length: 1 character
- Choose appropriate duration and resolution based on your needs
:::
## Query Task Status
After submitting a task, use the unified query endpoint to check
progress and retrieve results:
**Get Task Details**
Learn how to query task status and retrieve generation results
::: tip[]
For production use, we recommend using the `callBackUrl` parameter to
receive automatic notifications when generation completes, rather than
polling the status endpoint.
:::
## Related Resources
**Market Overview**
Explore all available models
**Common API**
Check credits and account usage
operationId: wan-2-6-text-to-video
tags:
- docs/en/Market/Video Models/Wan
parameters: []
requestBody:
content:
application/json:
schema:
type: object
required:
- model
properties:
model:
type: string
enum:
- wan/2-6-text-to-video
default: wan/2-6-text-to-video
description: |-
The model name to use for generation. Required field.
- Must be `wan/2-6-text-to-video` for this endpoint
examples:
- wan/2-6-text-to-video
callBackUrl:
type: string
format: uri
description: >-
The URL to receive generation task completion updates.
Optional but recommended for production use.
- System will POST task status and results to this URL when
generation completes
- Callback includes generated content URLs and task
information
- Your callback endpoint should accept POST requests with
JSON payload containing results
- Alternatively, use the Get Task Details endpoint to poll
task status
- To ensure callback security, see [Webhook Verification
Guide](/common-api/webhook-verification) for signature
verification implementation
examples:
- https://your-domain.com/api/callback
input:
type: object
description: Input parameters for the generation task
properties:
prompt:
description: >-
Text prompts for video generation. Supports both Chinese
and English, with a minimum of 1 characters and a
maximum of 5,000 characters. (Max length: 5000
characters)
type: string
maxLength: 5000
examples:
- >-
In a hyperrealistic ASMR video, a hand uses a knitted
knife to slowly slice a burger made entirely of
knitted wool. The satisfyingly crisp cut reveals a
detailed cross-section of knitted meat, lettuce, and
tomato slices. Captured in a close-up with a shallow
depth of field, the scene is set against a stark,
matte black surface. Cinematic lighting makes the
surreal yarn textures shine with clear reflections.
The focus is on the deliberate, satisfying motion and
the unique, tactile materials.
duration:
description: The duration of the generated video in seconds
type: string
enum:
- '5'
- '10'
- '15'
default: '5'
examples:
- '5'
resolution:
description: Video resolution tier
type: string
enum:
- 720p
- 1080p
default: 1080p
examples:
- 1080p
nsfw_checker:
type: boolean
description: >-
Enabled by default in Playground. For API calls, you can
turn it on or off based on your needs.
required:
- prompt
x-apidog-orders:
- prompt
- duration
- resolution
- nsfw_checker
x-apidog-ignore-properties: []
x-apidog-orders:
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- callBackUrl
- input
x-apidog-ignore-properties: []
example:
model: wan/2-6-text-to-video
callBackUrl: https://your-domain.com/api/callback
input:
prompt: >-
In a hyperrealistic ASMR video, a hand uses a knitted knife to
slowly slice a burger made entirely of knitted wool. The
satisfyingly crisp cut reveals a detailed cross-section of
knitted meat, lettuce, and tomato slices. Captured in a
close-up with a shallow depth of field, the scene is set
against a stark, matte black surface. Cinematic lighting makes
the surreal yarn textures shine with clear reflections. The
focus is on the deliberate, satisfying motion and the unique,
tactile materials.
duration: '5'
resolution: 1080p
nsfw_checker: false
responses:
'200':
description: Request successful
content:
application/json:
schema:
allOf:
- $ref: '#/components/schemas/ApiResponse'
example:
code: 200
msg: success
data:
taskId: task_wan_1765967707657
headers: {}
x-apidog-name: ''
'500':
description: request failed
content:
application/json:
schema:
type: object
properties:
code:
type: integer
description: >-
Response status code
- **200**: Success - Request has been processed
successfully
- **401**: Unauthorized - Authentication credentials are
missing or invalid
- **402**: Insufficient Credits - Account does not have
enough credits to perform the operation
- **404**: Not Found - The requested resource or endpoint
does not exist
- **408**: Upstream is currently experiencing service
issues. No result has been returned for over 10 minutes.
- **422**: Validation Error - The request parameters
failed validation checks
- **429**: Rate Limited - Request limit has been exceeded
for this resource
- **455**: Service Unavailable - System is currently
undergoing maintenance
- **500**: Server Error - An unexpected error occurred
while processing the request
- **501**: Generation Failed - Content generation task
failed
- **505**: Feature Disabled - The requested feature is
currently disabled
msg:
type: string
description: Response message, error description when failed
data:
type: object
properties: {}
x-apidog-orders: []
x-apidog-ignore-properties: []
x-apidog-orders:
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required:
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x-apidog-ignore-properties: []
example:
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msg: >-
Server Error - An unexpected error occurred while processing
the request
data: null
headers: {}
x-apidog-name: 'Error '
security:
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x-apidog:
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use:
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x-apidog-folder: docs/en/Market/Video Models/Wan
x-apidog-status: released
x-run-in-apidog: https://app.apidog.com/web/project/1184766/apis/api-28506422-run
components:
schemas:
ApiResponse:
type: object
properties:
code:
type: integer
description: >-
Response status code
- **200**: Success - Request has been processed successfully
- **401**: Unauthorized - Authentication credentials are missing or
invalid
- **402**: Insufficient Credits - Account does not have enough
credits to perform the operation
- **404**: Not Found - The requested resource or endpoint does not
exist
- **422**: Validation Error - The request parameters failed
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- **429**: Rate Limited - Request limit has been exceeded for this
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- **433**: Request Limit - Sub-key Usage Exceeds Limit
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- **500**: Server Error - An unexpected error occurred while
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- **505**: Feature Disabled - The requested feature is currently
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msg:
type: string
description: Response message, error description when failed
examples:
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data:
type: object
properties:
taskId:
type: string
description: >-
Task ID, can be used with Get Task Details endpoint to query
task status
x-apidog-orders:
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required:
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x-apidog-ignore-properties: []
x-apidog-orders:
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title: response not with recordId
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securitySchemes:
BearerAuth:
type: bearer
scheme: bearer
bearerFormat: API Key
description: |-
所有 API 都需要通过 Bearer Token 进行身份验证。
获取 API Key：
1. 访问 API Key 管理页面 获取您的 API Key
使用方法：
在请求头中添加：
Authorization: Bearer YOUR_API_KEY
注意事项：
- 请妥善保管您的 API Key，切勿泄露给他人
- 若怀疑 API Key 泄露，请立即在管理页面重置
BearerAuth1:
type: bearer
scheme: bearer
bearerFormat: API Key
description: |-
所有 API 都需要通过 Bearer Token 进行身份验证。
获取 API Key：
1. 访问 API Key 管理页面 获取您的 API Key
使用方法：
在请求头中添加：
Authorization: Bearer YOUR_API_KEY
注意事项：
- 请妥善保管您的 API Key，切勿泄露给他人
- 若怀疑 API Key 泄露，请立即在管理页面重置
servers:
- url: https://api.kie.ai
description: 正式环境
security:
- BearerAuth: []
x-apidog:
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use:
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scopes:
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