# Wan 2.2 (by Alibaba)

### **Overview**

High realism image model that is coherent, controllable, and cost-effective.

***

### **Quick facts**

* **Modes:** Text → Image
* **Default output / size:** 1024×1024 (1:1)
* **Aspect ratios:** Multiple standard ratios supported

***

### **What it's great for**

* Cost-effective realistic image generation.
* Coherent outputs with good controllability.
* Budget-friendly option for high-volume generation.
* Realistic imagery across various subjects.

***

### Parameters

| Control        | Type     | Default | Notes                                   |
| -------------- | -------- | ------- | --------------------------------------- |
| `Prompt`       | Text     | —       | Natural-language instruction (required) |
| `Aspect Ratio` | Dropdown | 1:1     | Multiple options available              |

***

### **Modes**

| Mode         | Estimated time | Required inputs | Typical use          |
| ------------ | -------------: | --------------- | -------------------- |
| Text → Image |          \~12s | Prompt          | Realistic generation |

***

### **Output options**

| Option       | Values / notes                   |
| ------------ | -------------------------------- |
| Aspect ratio | Multiple aspect ratios supported |

***

### **Prompt tips**

* Model handles realistic subjects well.
* Clear, descriptive prompts yield best results.
* Cost-effective for iterative workflows.

***

### **Safety**

Moderation is applied according to platform rules.

***


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.flora.ai/models/image-models/wan-2.2-by-alibaba.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.