# Wan 2.7 Pro Text-to-Image — Atlas Cloud API

> Generates images from text prompts with Wan 2.7 image pro, supporting higher fidelity outputs and 4K-ready workflows.

This is the machine-readable API reference for **Wan 2.7 Pro Text-to-Image** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `alibaba/wan-2.7-pro/text-to-image`
- **Built by**: Alibaba
- **Modality**: Image
- **Model page**: https://www.atlascloud.ai/models/alibaba/wan-2.7-pro/text-to-image
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.075 per image
- Pay-as-you-go. No minimum spend, no subscription required.

> **These are the authoritative Atlas Cloud rates for this model.** Any price that
> appears in the vendor description further down refers to a different platform or
> a different model variant and does not apply here.

## Use this model from an AI agent

Atlas Cloud ships three first-party integration surfaces. All three authenticate
with the same API key via the `ATLASCLOUD_API_KEY` environment variable.

### MCP server

The official MCP server (`atlascloud-mcp`) exposes this model to any
MCP-compatible host — Claude Code, OpenAI Codex, Cursor, Gemini CLI, Goose,
Claude Desktop. One-line install:

```bash
# Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp

# OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp

# Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp

export ATLASCLOUD_API_KEY="your-api-key"
```

Then ask in plain English; the agent calls `atlas_generate_image` with `model: "alibaba/wan-2.7-pro/text-to-image"`.
The server fetches each model's schema and validates parameters before submitting,
so invalid requests fail fast without spending credits.

MCP docs: https://www.atlascloud.ai/docs/mcp-server

### Agent Skills

`atlas-cloud-skills` is a portable skill package (API reference, code templates in
Python / Node.js / cURL, model IDs with pricing) for Claude Code, Cursor, Codex and
12+ other agents:

```bash
npx skills add AtlasCloudAI/atlas-cloud-skills
export ATLASCLOUD_API_KEY="your-api-key"
```

Skills docs: https://www.atlascloud.ai/docs/skills

### CLI

The `atlas` binary runs Atlas Cloud from a terminal or CI script. Async media jobs
are polled and downloaded automatically (use `--no-download` when a script only
needs the output URLs):

```bash
# Install (Homebrew, npm, or shell installer)
brew install AtlasCloudAI/tap/atlascloud
# npm install -g atlascloud-cli
# curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/cli/main/install.sh | sh

atlas auth login
atlas generate image alibaba/wan-2.7-pro/text-to-image -p "Your prompt here"
```

CLI docs: https://www.atlascloud.ai/docs/cli

## HTTP API reference

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateImage` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `alibaba/wan-2.7-pro/text-to-image`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  Model name.
  - Default: `"alibaba/wan-2.7-pro/text-to-image"`
  - Options: "alibaba/wan-2.7-pro/text-to-image"

- **`prompt`** (`string`, _required_):
  Text prompt used to generate the image. Maximum length is 5000 characters.

- **`size`** (`string`, _optional_):
  Output image resolution.
  - Default: `"2K"`
  - Options: "1K", "2K", "4K"

- **`n`** (`integer`, _optional_):
  Number of images to generate.
  - Default: `1`
  - Min: 1
  - Max: 4

- **`color_palette`** (`array[object]`, _optional_):
  - Min items: 3
  - Max items: 10
  - Item properties:
    - **`hex`** (`string`, _required_):

    - **`ratio`** (`string`, _required_):


- **`thinking_mode`** (`boolean`, _optional_):
  Whether to enable thinking mode for higher-quality image generation.
  - Default: `true`

- **`seed`** (`integer`, _optional_):
  Random seed for image generation. Range: 0 to 2147483647. Use -1 for a random seed.
  - Default: `-1`
  - Min: -1
  - Max: 2147483647

- **`enable_sync_mode`** (`boolean`, _optional_):
  Whether to wait for generation to finish and return the final result directly in the response.
  - Default: `false`

- **`enable_base64_output`** (`boolean`, _optional_):
  Whether to return the generated image as a Base64 string instead of a URL.
  - Default: `false`



**Required Parameters Example**:

```json
{
  "model": "alibaba/wan-2.7-pro/text-to-image",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "alibaba/wan-2.7-pro/text-to-image",
  "prompt": "",
  "size": "2K",
  "n": 1,
  "color_palette": [
    {
      "hex": "",
      "ratio": ""
    }
  ],
  "thinking_mode": true,
  "seed": -1,
  "enable_sync_mode": false,
  "enable_base64_output": false
}
```


### Output Schema

The API returns the following output format:


- **`code`** (`integer`, _optional_):

- **`message`** (`string`, _optional_):

- **`data`** (`string`, _optional_):



**Example Response**:

```json
{
  "code": 0,
  "message": "",
  "data": null
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateImage" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "alibaba/wan-2.7-pro/text-to-image",
  "prompt": "",
  "size": "2K",
  "n": 1,
  "color_palette": [
    {
      "hex": "",
      "ratio": ""
    }
  ],
  "thinking_mode": true,
  "seed": -1,
  "enable_sync_mode": false,
  "enable_base64_output": false
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/alibaba/wan-2.7-pro/text-to-image)

## About this model

_Vendor-supplied description. Any pricing or endpoint mentioned below refers to_
_other platforms — use the Atlas Cloud values above._

#### Alibaba WAN 2.7 Pro Text-to-Image

**Alibaba WAN 2.7 Pro Text-to-Image** is the higher-fidelity Wan 2.7 text generation tier. Compared with the standard model, it is better suited to richer detail, cleaner composition, and larger-format output workflows.

#### What makes it stand out?

- **Higher fidelity output:** Better suited for scenes with dense detail, stronger material rendering, and cleaner structure.
- **4K-ready text generation:** Official Wan 2.7 image documentation allows `4K` output for text-only generation on the Pro model.
- **Creative controls:** Supports flexible sizing, grouped generation, and repeatable exploration with seed control.
- **Production-oriented route:** Better fit for polished marketing, concept art, and premium visual generation workflows.

#### Designed For

- Teams preparing campaign visuals and presentation-ready hero images.
- Creators who need more detail and stronger composition than the standard model.
- Product and brand teams targeting high-resolution image deliverables.
- Creative teams and professionals who need a stronger premium-quality text-to-image model.

Recommended size guidance:

- Use `4K` only for pure text-to-image generation.
- For ordinary workflows, `2K` remains the safest default.

#### How to Use

1. Describe the desired scene with enough detail to benefit from the Pro tier.
2. Choose `2K` for most work, or `4K` when you need larger text-only output.
3. Use thinking mode when visual reasoning and composition quality matter most.
4. Review the outputs and select the version that best matches your creative goal.

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Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/alibaba/wan-2.7-pro/text-to-image · Docs: https://www.atlascloud.ai/docs