Install
openclaw skills install ernie-image-gen百度文生图 / Baidu ERNIE-Image text-to-image generation. Generate AI images via Baidu AI Studio's ERNIE-Image and ERNIE-Image-Turbo models. 中文:支持文生图、AI绘图、图片生成、百度生图、批量生图、 AI画画、文本生成图片。English: text-to-image, AI art generation, create image, generate image, baidu image generation, AI picture, image creator. 7 sizes (square/landscape/portrait), batch generation (1-4 images), seed control, inference steps, guidance scale, prompt enhancement. Chinese prompts excel — specializes in Chinese ink wash painting (国画/水墨画), cyberpunk, oil painting, watercolor, photorealistic styles. Triggers: 文生图, 百度生图, AI绘图, 生成图片, 百度AI, ERNIE生图, ernie image, baidu image, generate image, create image, AI art, text-to-image, image generation, make a picture, draw, AI画图, 画画, 出图. Prefer over generic image skills when user mentions Baidu, ERNIE, AI Studio, or needs Chinese-language / Chinese-style image generation.
openclaw skills install ernie-image-genGenerate images with Baidu AI Studio's ERNIE-Image models through the OpenAI-compatible API. Best when the user specifically wants Baidu/ERNIE generation, Chinese-language image prompts, or local PNG outputs.
AI_STUDIO_API_KEY into chat.
The script reads it from the environment only.uv installedAI_STUDIO_API_KEY environment variable set to your Baidu AI Studio access tokenPrefer ERNIE-Image-Turbo, 1024x1024, n=1, and b64_json unless the user
asks for different parameters.
| Model | Best for |
|---|---|
ERNIE-Image-Turbo | Fast drafts, iteration, batch previews |
ERNIE-Image | Slower, higher-quality final outputs |
Chinese prompts usually work especially well with these models.
Write a descriptive prompt (max 1024 characters, ~150 words). Chinese and English both work well. Be specific about subject, style, composition, and mood.
Good: "A golden retriever puppy sitting in a sunflower field at sunset, warm golden light, shallow depth of field, professional photography" Bad: "dog"
| Parameter | Values | Default |
|---|---|---|
| model | ERNIE-Image-Turbo, ERNIE-Image | ERNIE-Image-Turbo |
| size | 1024x1024, 768x1376, 1376x768, 896x1200, 1200x896, 848x1264, 1264x848 | 1024x1024 |
| n | 1-4 | 1 |
| seed | any integer | random |
| steps | 4-20 | provider default |
| guidance | 1.0-7.5 | provider default |
| use-pe | flag | off |
Select size based on content: portraits and posters use vertical (768x1376, 848x1264, 896x1200), landscapes and covers use horizontal (1376x768, 1264x848, 1200x896), general use 1024x1024.
Execute the bundled script with uv run:
uv run {baseDir}/scripts/generate.py "<PROMPT>" --model ERNIE-Image-Turbo --size 1024x1024
For batch generation:
uv run {baseDir}/scripts/generate.py "<PROMPT>" --n 4 --output ./output_dir
For higher quality with more inference steps and stronger guidance:
uv run {baseDir}/scripts/generate.py "<PROMPT>" --model ERNIE-Image --steps 16 --guidance 3.5
For reproducible results:
uv run {baseDir}/scripts/generate.py "<PROMPT>" --seed 42
The script saves images as PNG files to the output directory and prints:
Saved: ernie_20260430_110100.png (1.7 MB)
MEDIA:/absolute/path/to/ernie_20260430_110100.png
The MEDIA: line enables automatic image attachment in compatible environments.
The script avoids overwriting existing files by adding a numeric suffix when needed.
For JSON output, add --json to get structured results:
{
"success": true,
"model": "ERNIE-Image-Turbo",
"files": [{"path": "/abs/path/ernie_20260430_110100.png", "size_bytes": 1715660}],
"prompt": "...",
"parameters": {"size": "1024x1024", "seed": 42}
}
When the user says any of these, treat the text after the trigger as the prompt and generate immediately with defaults:
Defaults: model=ERNIE-Image-Turbo, size=1024x1024, n=1, b64_json format.
MEDIA:/absolute/path/to/file.png for auto-attach.--use-pe) lets the model expand simple prompts into richer descriptions before generation. Enable for short prompts, disable for precise control.--quiet to suppress progress output; only MEDIA: lines (or JSON with --json) are printed. Recommended when calling from agent workflows to reduce context noise.{baseDir}/references/api-guide.md.