---

name: image_generation description: |- Create an image based on a text description using AI image generation.

Features:

• Generate high-quality images from text prompts
• Support conditional opaque image size combinations: 1K supports 1:1, 3:2, 2:3; 2K supports 1:1, 16:9; 4K supports 16:9, 9:16.
• Support multiple resolutions: 1K, 2K, 4K. Default is 1K.
• If the background is transparent, only supports 1:1, 3:2, 2:3 ratios and 1K resolution.
• Support background color: opaque (default) or transparent
• Support JPG, JPEG, PNG format output with high resolution (only support png for transparent)

Usage Guidelines:

• Provide detailed, descriptive prompts for better results
• Include specific details about style, composition, colors, and mood
• Use clear, descriptive language for best image quality
• Specify output file path with .jpg, .jpeg, .png extension (only support png for transparent)

Best Practices:

• Be specific about visual elements (lighting, perspective, style)
• Include artistic style references when desired
• Describe composition and framing details
• Mention color schemes and atmosphere

---

Image Generation

Use this skill to create an image from a text description with AI image generation, then save it locally and display it to the user.

Setup

Before the first use, ensure the agent-gw Python SDK (version 0.2.6 or newer) is installed. This checks the current environment and installs or upgrades it only when needed:

python3 scripts/image_generation_tool.py ensure-deps

The SDK needs an API key from api_key=..., KIMI_API_KEY, or ~/.kimi/agent-gw.json.

Parameters

• description (required): detailed text description of the image to generate.
• ratio: one of 1:1, 3:2, 2:3, 16:9, 9:16. Default 1:1.
• resolution: one of 1K, 2K, 4K. Default 1K. Opaque background supports only these combinations: 1K: 1:1 (1024x1024), 3:2 (1536x1024), 2:3 (1024x1536); 2K: 1:1 (2048x2048), 16:9 (2048x1152); 4K: 16:9 (3840x2160), 9:16 (2160x3840). Transparent background only supports 1K with 1:1, 3:2, 2:3.
• background: opaque (default) or transparent.
• reference_image: public URL(s) that guide the generation. Repeat --reference-image for multiple. The gateway only accepts public URLs, so a local image must be converted with image-to-url first (see "Reference images" below); passing a local path to generate is rejected.
• output (required): local output path ending in .jpg, .jpeg, or .png. Transparent background must use .png.

Workflow

1. Build a detailed, descriptive description from the user's request: include subject, style, composition, lighting, colors, and mood.
2. Choose ratio, resolution, and background. Enforce the supported combinations. For opaque images: 1K allows 1:1 / 3:2 / 2:3; 2K allows 1:1 / 16:9; 4K allows 16:9 / 9:16. Transparent only allows 1:1 / 3:2 / 2:3 ratios, 1K resolution, and PNG output.
3. Pick an output file path with a matching extension.
4. If the user supplies reference images, they must be public URLs. For any local image (a file on the execution environment, whether that is a sandbox or the client's local machine), first run the image-to-url command to upload it and get a public URL, then pass that URL with --reference-image. The gateway only accepts public reference URLs; passing a local path to generate is rejected.
5. Run the generate command (see "Script"). It calls generate_image on the gateway, reads media.url / media.mime_type from the response, and downloads the image to your output path with curl (the extension is corrected to match mime_type).
6. If the call fails, explain the failure reason from the printed error. Do not invent an image or a local path.
7. On success, the script prints the saved file path. Then display the image to the user by calling the readFile tool on that path. Reading the image to show it is the model's job, not this plugin's work.

Reference images

The plugin runs in an execution environment that may be a sandbox or the client's local machine. Either way, the gateway's reference_image_urls must be public URLs, so any local reference image has to be converted first. This is an explicit, separate step — generate does not accept local paths.

Convert each local image to a public URL with image-to-url (it uploads the file via the agent-gw upload_storage API and returns the public signed_url), then pass the printed public URL to generate with --reference-image:

python3 scripts/image_generation_tool.py image-to-url --image-path /path/to/local.png

Script

Use the bundled script from the plugin directory.

Generate an image:

python3 scripts/image_generation_tool.py generate \
  --description "A serene mountain lake at sunrise, soft golden light, mirror reflection, ultra detailed" \
  --ratio "16:9" \
  --resolution "2K" \
  --background "opaque" \
  --output "/path/to/output.png"

Convert a local reference image to a public URL first, then pass that URL:

# Step 1: upload the local image, capture the printed public URL
python3 scripts/image_generation_tool.py image-to-url --image-path /path/to/local_ref.png

# Step 2: pass public URLs (only) to generate
python3 scripts/image_generation_tool.py generate \
  --description "Same character in a snowy forest, cinematic" \
  --ratio "3:2" \
  --reference-image "https://example.com/ref1.jpg" \
  --reference-image "https://<public-url-from-step-1>" \
  --output "/path/to/output.jpg"

The script:

• generate accepts only public --reference-image URLs and sends them as reference_image_urls; a local path is rejected with a hint to use image-to-url
• image-to-url uploads a local image via the agent-gw upload_storage API and prints the resulting public signed_url
• sends {"description", "ratio", "resolution", "background", "reference_image_urls"} to the gateway generate_image API
• reads the generated media.url and media.mime_type from the response
• downloads the image to the --output path with curl, naming the file by mime_type (png/jpg)
• prints the saved path and a reminder to display it with readFile

generate_image response shape (resp.json()):

{
    "media": {
        "url": str,        # public URL of the generated image
        "mime_type": str,  # e.g. "image/png" or "image/jpeg"
    }
}

This skill uses the agent-gw Python SDK: client.tools.generate_image(...) for generation and client.upload_storage(...) (which returns a public signed_url) to turn a local reference image into a public URL.