blender-motion-state-inspection
AFaffaan-m/ECC280k近 7 天新增 4,216 个 star
Generate or edit images via BlockRun's image API. Trigger when the user asks to generate, create, draw, make an image — or to edit, modify, change, or retouch an existing image.
Generate or edit images through ClawRouter. Payment is automatic via x402.
Shortcuts:
/cr-imagegen <prompt> [--model=<alias>] [--size=1024x1024] [--n=1] (/imagegen still accepted in chat for backward compatibility)blockrun_image_generation (LLM-callable) / blockrun_image_edit (inpainting)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: 
| Alias | Full ID | Price | Sizes | Best for |
|---|---|---|---|---|
nano-banana | google/nano-banana | $0.05 | 1024×1024 | Default — fast, cheap, good quality |
banana-2 | google/nano-banana-2 | $0.09 | 1024×1024 | Gemini 3.1 Flash imagegen — sharper than nano-banana at 1K |
banana-pro | google/nano-banana-pro | $0.10–$0.15 | 1024×1024, 2048×2048, 4096×4096 | High-res, large format |
gpt-image | openai/gpt-image-1 | $0.02–$0.04 | 1024×1024, 1536×1024, 1024×1536 | Budget option; supports editing |
gpt-image-2 | openai/gpt-image-2 | $0.06–$0.12 | 1024×1024, 1536×1024, 1024×1536 | Photorealistic, reasoning-driven, text rendering (slow — proxy polls up to 5min); legacy dalle alias routes here |
flare | openai/gpt-image-2.5-flare | $0.28–$0.56 | 1024×1024, 1536×1024, 1024×1536 | GPT Image 2.5, fast — top OpenAI quality, caller can pick quality at a flat price |
sunburst | openai/gpt-image-2.5-sunburst | $0.28–$0.56 | 1024×1024, 1536×1024, 1024×1536 | GPT Image 2.5, precision — best for high-fidelity edits |
seedream | bytedance/seedream-5-pro | $0.045–$0.09 | up to 2848×1600 / 2304×1728 | Flagship quality, reference-image support |
grok-imagine | xai/grok-imagine-image | $0.02 | 1024×1024 | xAI Grok image style |
grok-imagine-2 | xai/grok-imagine-image-2.0 | $0.04 | 1024×1024 | Grok Imagine 2.0 — between grok-imagine and pro |
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:
nano-bananabanana-progpt-image-2seedreamcogviewflare (fast) or sunburst (precision)gpt-image (cheapest), gpt-image-2, or sunburst (most precise)grok-imaginegrok-imagine or grok-imagine-proChoosing a size:
1024x1024 (the only size every model accepts)1024x1536 (gpt-image / gpt-image-2 / flare / sunburst) or 1728x2304 (seedream)1536x1024 (gpt-image / gpt-image-2 / flare / sunburst), 1344x768 (cogview), or 2048x1024 / 1280x720 (seedream)2048x2048 / 4096x4096 with banana-pro; 2848x1600 with seedreamPOST 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 (default, $0.02), openai/gpt-image-2 ($0.06), openai/gpt-image-2.5-sunburst ($0.28), google/nano-banana ($0.05), google/nano-banana-2 ($0.09), google/nano-banana-pro ($0.10). mask works with the OpenAI models only. openai/gpt-image-2.5-flare cannot edit.
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 seedream, size 1728x2304.
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.
GET http://localhost:8402/health and read authMode before telling the user how to fix it: wallet → fund the wallet at blockrun.ai; api-key → top up account credit at user.blockrun.ai/dashboard/credits. Naming the wrong one sends the user to a page that cannot fix their error.nano-banana or grok-imagine for more flexibilityAFaffaan-m/ECC280k近 7 天新增 4,216 个 star
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