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imagegen

通过BlockRun的图像API生成图片。当用户请求生成、创建、绘制或制作图片时触发。

person作者: jakexiaohubgithub

Image Generation & Editing

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

Shortcuts:

  • Slash: /cr-imagegen <prompt> [--model=<alias>] [--size=1024x1024] [--n=1] (/imagegen still accepted in chat for backward compatibility)
  • 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

| Alias | Full ID | Price | Sizes | Best for | | ------------------ | ---------------------------- | ------------ | ------------------------------- | ----------------------------------- | | nano-banana | google/nano-banana | $0.05 | 1024×1024, 1216×832, 1024×1792 | Default — fast, cheap, good quality | | banana-pro | google/nano-banana-pro | $0.10–$0.15 | up to 4096×4096 | High-res, large format | | dalle | openai/dall-e-3 | $0.04–$0.08 | 1024×1024, 1792×1024, 1024×1792 | Photorealistic, complex scenes | | gpt-image | openai/gpt-image-1 | $0.02–$0.04 | 1024×1024, 1536×1024, 1024×1536 | Budget option; supports editing | | flux | black-forest/flux-1.1-pro | $0.04 | 1024×1024, 1216×832, 832×1216 | Artistic styles, fewer restrictions | | grok-imagine | xai/grok-imagine-image | $0.02 | 1024×1024 | xAI Grok image style | | grok-imagine-pro | xai/grok-imagine-image-pro | $0.07 | 1024×1024 | Grok high-quality | | cogview | zai/cogview-4 | $0.015–$0.02 | 512×512 to 1440×1440 | Cheapest — Zhipu CogView |

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
}

ClawRouter 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 — ClawRouter 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