# Tencent WAND Vega Image 1.0 lite Text To Image — Atlas Cloud API

> Generates images from a text prompt at 1K / 2K / 4K. (Vega 1.0-lite · WAND VOD international site.)

This is the machine-readable API reference for **Tencent WAND Vega Image 1.0 lite Text To Image** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `tencent/vega-image-1.0-lite/text-to-image`
- **Built by**: TENCENT
- **Modality**: Image
- **Model page**: https://www.atlascloud.ai/models/tencent/vega-image-1.0-lite/text-to-image
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.022 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: "tencent/vega-image-1.0-lite/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 tencent/vega-image-1.0-lite/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**: `tencent/vega-image-1.0-lite/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: `"tencent/vega-image-1.0-lite/text-to-image"`
  - Options: "tencent/vega-image-1.0-lite/text-to-image"

- **`prompt`** (`string`, _required_):
  Text prompt.
  - Default: `"An astronaut corgi posing on the surface of the moon, cinematic, photorealistic."`

- **`size`** (`string`, _optional_):
  Output pixel grade (aliases: `resolution`, lowercase variants accepted).
  - Default: `"1K"`
  - Options: "1K", "2K", "4K"

- **`aspect_ratio`** (`string`, _optional_):
  Frame aspect.
  - Default: `"1:1"`
  - Options: "16:9", "9:16", "1:1", "3:4", "4:3"

- **`negative_prompt`** (`string`, _optional_):
  What to avoid.

- **`enhance_prompt`** (`boolean`, _optional_):
  Enable prompt enhancement.
  - Default: `false`

- **`seed`** (`integer`, _optional_):
  Optional reproducibility seed.

- **`input_region`** (`string`, _optional_):
  Market region that affects content moderation.
  - Default: `"Oversea"`
  - Options: "Mainland", "Oversea", "OverseaUSWest"



**Required Parameters Example**:

```json
{
  "model": "tencent/vega-image-1.0-lite/text-to-image",
  "prompt": "An astronaut corgi posing on the surface of the moon, cinematic, photorealistic."
}
```


**Full Example**:

```json
{
  "model": "tencent/vega-image-1.0-lite/text-to-image",
  "prompt": "An astronaut corgi posing on the surface of the moon, cinematic, photorealistic.",
  "size": "1K",
  "aspect_ratio": "1:1",
  "negative_prompt": "",
  "enhance_prompt": false,
  "seed": 0,
  "input_region": "Oversea"
}
```


### Output Schema

The API returns the following output format:


- **`id`** (`string`, _optional_):
  Prediction ID.

- **`urls`** (`object`, _optional_):
  Related API endpoints.

- **`model`** (`string`, _optional_):
  Model ID.

- **`status`** (`string`, _optional_):
  created | processing | completed | failed.

- **`outputs`** (`array[string]`, _optional_):
  Output URLs (empty when not completed).

- **`created_at`** (`string`, _optional_):
  ISO timestamp.

- **`usage`** (`object`, _optional_):
  Upstream usage details (VL token counts).



**Example Response**:

```json
{
  "id": "",
  "urls": {},
  "model": "",
  "status": "",
  "outputs": [
    ""
  ],
  "created_at": "",
  "usage": {}
}
```


## 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": "tencent/vega-image-1.0-lite/text-to-image",
  "prompt": "An astronaut corgi posing on the surface of the moon, cinematic, photorealistic.",
  "size": "1K",
  "aspect_ratio": "1:1",
  "negative_prompt": "",
  "enhance_prompt": false,
  "seed": 0,
  "input_region": "Oversea"
}'

# 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/tencent/vega-image-1.0-lite/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._

### Tencent WAND Vega Image 1.0-lite · Text To Image

Image generation/editing on top of Tencent Cloud VOD's WAND Vega Image 1.0-lite model. Upstream ModelName `wand-vega-image`, ModelVersion `1.0-lite`.

#### Usage
Text To Image: supply a `prompt` and, for edit mode, one or more `image`/`images` reference frames. Reference image cap is 3; all together the base64 bodies must stay under 7 MB. Reference images are uploaded to AtlasCloud OSS before reaching Tencent (public URLs only are forwarded as-is).

#### Billing
- Unit price is per image at the chosen resolution (USD).
- Base64 reference bytes are capped at 7 MB total to stay under the Tencent VOD package limit.
- Multi-image generation: n > 1 not supported.
- USD prices — see `script/sql/20261102/vega/02_model.sql`.

#### Output
Completed outputs are transferred to AtlasCloud's own OSS bucket, so returned URLs remain valid past the Tencent 7-day Temporary-VOD window.

#### Compliance
Real-person inputs require Tencent asset IDs with upstream Liveness verification. This model is exposed for non-real-person references only.

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Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/tencent/vega-image-1.0-lite/text-to-image · Docs: https://www.atlascloud.ai/docs