Wan 2.6 - Text to Video
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
- 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
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
Rate limits and quotas are enforced by Apikley and may differ from upstream providers.
OpenAPI
market/wan/2-6-text-to-video.json post /api/v1/jobs/createTask
openapi: 3.0.0
info:
title: Wan API
description: Apikley Wan API Documentation - Text to Video
version: 1.0.0
contact:
name: Technical Support
email: support@apikley.ru
servers:
- url: https://api.apikley.ru
description: API Server
security:
- BearerAuth: []
paths:
/api/v1/jobs/createTask:
post:
summary: Generate videos from text using wan/2-6-text-to-video
operationId: wan-2-6-text-to-video
requestBody:
required: true
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
example: 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
example: 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
example: >-
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'
example: '5'
resolution:
description: Video resolution tier
type: string
enum:
- 720p
- 1080p
default: 1080p
example: 1080p
required:
- prompt
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
responses:
'200':
description: Request successful
content:
application/json:
schema:
allOf:
- $ref: '#/components/schemas/ApiResponse'
- type: object
properties:
data:
type: object
properties:
taskId:
type: string
description: >-
Task ID, can be used with Get Task Details
endpoint to query task status
example: task_wan_1765967707657
example:
code: 200
msg: success
data:
taskId: task_wan_1765967707657
'500':
$ref: '#/components/responses/Error'
components:
schemas:
ApiResponse:
type: object
properties:
code:
type: integer
enum:
- 200
- 401
- 402
- 404
- 422
- 429
- 455
- 500
- 501
- 505
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
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
example: success
responses:
Error:
description: Server Error
securitySchemes:
BearerAuth:
type: http
scheme: bearer
bearerFormat: API Key
description: >-
All APIs require authentication via Bearer Token.
Get API Key:
1. Visit [API Key Management Page](https://app.apikley.ru/keys) to get your
API Key
Usage:
Add to request header:
Authorization: Bearer APIKLEY_API_KEY
Note:
- Keep your API Key secure and do not share it with others
- If you suspect your API Key has been compromised, reset it immediately
in the management page
To find navigation and other pages in this documentation, fetch the llms.txt file at: https://docs.apikley.ru/llms.txt