Imagegen

Image Generation & Editing

Generate or edit images through XClawRouter. Payment is automatic via x402.

Shortcuts:

• Slash: /imagegen <prompt> [--model=<alias>] [--size=1024x1024] [--n=1]
• Partner tool: blockrun_image_generation (LLM-callable) / blockrun_image_edit (inpainting)

Generate an Image

POST to http://localhost:8402/v1/images/generations:

{
  "model": "google/nano-banana",
  "prompt": "a golden retriever surfing on a wave",
  "size": "1024x1024",
  "n": 1
}

Response:

{
  "created": 1741460000,
  "data": [{ "url": "http://localhost:8402/images/abc123.png" }]
}

Display inline: ![generated image](http://localhost:8402/images/abc123.png)

Model Selection

Choosing a model:

• Default → nano-banana
• "high res" / "large" → banana-pro
• "photorealistic" / "dall-e" → dalle
• "budget" / "cheap" → cogview
• "editable" / "inpainting" → gpt-image (only edit-capable model)
• "artistic" / flexible content → flux
• "grok style" → grok-imagine or grok-imagine-pro

Choosing a size:

• Default: 1024x1024
• Portrait: 1024x1792
• Landscape: 1792x1024 (dall-e-3) or 1216x832 (nano-banana / flux)
• High-res: 2048x2048 or 4096x4096 with banana-pro only

Edit an Existing Image

POST to http://localhost:8402/v1/images/image2image:

{
  "model": "openai/gpt-image-1",
  "prompt": "make the background a snowy mountain landscape",
  "image": "https://example.com/photo.jpg",
  "size": "1024x1024",
  "n": 1
}

XClawRouter automatically downloads URLs and reads local file paths — pass them directly, no manual base64 conversion needed.

Optional mask field: a second image (URL or path) that marks which areas to edit (white = edit, black = keep).

Response is identical to generation:

{
  "created": 1741460000,
  "data": [{ "url": "http://localhost:8402/images/xyz456.png", "revised_prompt": "..." }]
}

Supported models for editing: openai/gpt-image-1 only ($0.02)

Example Interactions

User: Draw me a cyberpunk city at night → POST to /v1/images/generations, model nano-banana, prompt as given.

User: Generate a high-res portrait of a samurai → POST to /v1/images/generations, model banana-pro, size 1024x1792.

User: Edit this photo to add a sunset background: https://example.com/portrait.jpg → POST to /v1/images/image2image, model gpt-image, image = the URL, prompt = "add a warm sunset background".

User: Change the background in my image to a beach (attaches local file) → POST to /v1/images/image2image, image = the local file path, prompt describes the change.

Notes

• Payment is automatic via x402 — deducted from the user's BlockRun wallet
• If the call fails with a payment error, tell the user to fund their wallet at blockrun.ai
• Google models may return base64 internally — XClawRouter uploads automatically and returns a hosted URL
• DALL-E 3 enforces OpenAI content policy; use flux or nano-banana for more flexibility
• Image editing is only available with gpt-image-1; generation supports all 5 models