alibaba/wan/2.2/text-to-image/lora

Name: Wan 2.2 Text to Image LoRA
Author: Alibaba

Wan 2.2 Lora by Alibaba - generate stunning images from text prompts with state-of-the-art AI. Supports multiple aspect ratios, styles, and high-resolution output for creative and commercial use.

Input

Prompt(string)

The text prompt to guide image generation.

Aspect Ratio(string)

The aspect ratio of the generated image. Allowed values: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16.

Seed(integer)

Random seed for reproducibility. If None, a random seed is chosen.

Reverse Video(boolean)

If true, the video will be reversed.

Loras(array)

LoRA weights to be used in the inference.

Image Format(string)

The format of the output image. Allowed values: png, jpeg.

Idle

Example output — click Run to generate your own

Production endpoint

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDalibaba/wan/2.2/text-to-image/lora

Input Schema

6 parameters · 1 required · 5 optional

Parameter	Type	Required	Description
`prompt`	string	Required	The text prompt to guide image generation.
`seed`	integer	Optional	Random seed for reproducibility. If None, a random seed is chosen.
`loras`	object[]	Optional	LoRA weights to be used in the inference. · Default: []
`aspect_ratio`	string	Optional	The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16
`output_format`	string	Optional	The format of the output image. · Options: png, jpeg · Default: "jpeg" pngjpeg
`reverse_video`	boolean	Optional	If true, the video will be reversed. · Default: false

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
  "model": "alibaba/wan/2.2/text-to-image/lora",
  "loras": [],
  "prompt": "In this breathtaking wildlife documentary, we are drawn into an intimate close-up of a majestic lion's face, framed against the backdrop of a vast African savannah at dawn. The camera captures the raw power and nobility of the creature as it gazes intently into the distance, its golden-brown fur glistening under the soft, diffused light that bathes the scene in an ethereal glow. Harsh shadows dance across its features, accentuating the deep wrinkles around its eyes and the rugged texture of its fur, each strand a testament to its age and wisdom. The static camera angle invites viewers to immerse themselves in this moment of profound stillness, where the lion's intense focus hints at an unseen presence or a distant threat. As the sun ascends, the landscape transforms into a symphony of warm hues, enhancing the serene yet tense atmosphere that envelops this extraordinary encounter with nature's untamed beauty.",
  "output_format": "jpeg",
  "reverse_video": false
}'

# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
  -H "Authorization: Bearer YOUR_API_KEY"

← Back to Wan 2.2 Text to Image LoRA

API README

Wan 2.2 Text to Image LoRA

Wan 2.2 Text to Image LoRA is a text-to-image route in Alibaba’s Wan family. It creates a new still image from a written visual brief, combining prompt understanding with the visual and temporal modeling needed to keep subjects, scenes, and requested changes coherent across the result.

The 2.2 LoRA configuration is designed for a specific production path rather than a generic media request. Build the brief around subject, action or transformation, environment, camera language, lighting, pacing, sound where supported, and exact preservation requirements; then use the local duration, resolution, framing, and seed controls for delivery.

Highlights

Coherent visual generation. Coordinates subjects, environment, composition, and requested action instead of rendering prompt elements independently.
Detailed composition. Balances layout, hierarchy, texture, lighting, and fine visual detail in the generated image.
Prompt-led direction. Uses written direction to define subject, action, camera, style, atmosphere, and delivery intent.
LoRA specialization. Applies the locally configured adaptation to the exact task while retaining Wan generation behavior.

Pricing

Configuration	Billing unit	Price
Base generation	Per request	$0.025

When to Use

✅ Good fit	❌ Consider alternatives
The project needs this exact text-to-image workflow	The intended task belongs to a different media route
Available source media matches every required field	Required assets or usage rights are unavailable
The brief can define subject, action, camera, and style	Output must be deterministic at frame or pixel level
Supported duration, resolution, and framing fit delivery	Final placement requires unsupported specifications
An asynchronous generation job fits production	A live or frame-synchronous response is mandatory

Prompt Guide

Describe the result as a shot or design brief: identify subjects and references, state the action or transformation, specify environment and composition, then add camera behavior, lighting, pacing, style, sound, and preservation constraints where relevant. Use exact reference identifiers exposed by the local schema.

{
  "prompt": "A cinematic scene with clearly directed subject action, camera movement, lighting, pacing, and atmosphere",
  "seed": 1,
  "loras": [],
  "aspect_ratio": "21:9"
}

Technical Specs

Spec	Value
Model ID	`alibaba/wan/2.2/text-to-image/lora`
Input fields	`seed` (integer)<br>`loras` (array)<br>`prompt` (string)<br>`aspect_ratio` (string; `21:9`, `16:9`, `3:2`, `4:3`, `5:4`, `1:1`, `4:5`, `3:4`, `2:3`, `9:16`)<br>`output_format` (string; `png`, `jpeg`)<br>`reverse_video` (boolean)
Required input	`prompt`
Output fields	`url`, `content_type`
Execution	Asynchronous job

Related Models

alibaba/wan/2.2/text-to-image
alibaba/wan/2.2/text-to-video
alibaba/wan/2.2/text-to-video/lora