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JarvisClaw Image Edit (Instruction-Based, Mask-Free)
x402
JarvisClaw Image Edit (Instruction-Based, Mask-Free) is a paid API for AI agents from api.jarvisclaw.ai, paid per call via x402, $0.023/call, status unknown (last checked 2026-11-04).
Edits an existing image using a plain-text instruction without requiring a mask, applying the described change across the whole image using the nano-banana-pro model.
Price / call$0.023
Success—
StatusUnknown
How this service works
Edits an image from a plain-text instruction, mask-free: describe the change and the model applies it to the whole image. Default model: nano-banana-pro.
Output
Returns an edited version of the input image with the requested changes applied across the entire image, without requiring the user to provide a mask or define specific regions — the model interprets the plain-text instruction and applies edits globally.
Example use cases
Product photo background swap
“I have a product photo with a plain white background — can you change it to a sleek marble surface using just a text instruction? Apply it to the whole image.”
Portrait style transformation
“Take this headshot and make it look like a professional oil painting — no masking needed, just apply the style transformation to the entire image.”
Seasonal landscape change
“I have a photo of a park in summer — can you edit it so it looks like it's covered in snow and it's winter? Change the whole scene using the text description.”
Technical details
Endpoint
POSThttps://api.jarvisclaw.ai/v1/marketplace/api/image-edit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to apply a text-described change to an entire image without specifying masked regions — ideal for style transfers, scene modifications, lighting changes, and global color or atmosphere edits where you want the model to interpret and apply the change holistically. It is particularly well-suited when you don't want to generate a mask or when the edit should be applied uniformly. For fine-grained region-specific edits where you want pixel-level control, a masked image editing endpoint would be more appropriate.
Side effects
- Ambiguous or vague instruction may produce unexpected edits
- Image format not supported may cause processing failure
- Payment insufficient (below $0.023 USDC) triggers 402 response
- Complex multi-region edits may produce inconsistent results
- Very large images may time out or exceed model limits
- Query string missing or malformed results in 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| query | string | Request parameters |
Tags
x402
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