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image-to-image

image-to-image

Bria FIBO

bria/fibo/edit

FIBO is an open-source JSON-native image-to-image model that maps intent to structured controls for precise enterprise image generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Input

Hint: You can drag and drop a file or click to upload

preview

Hint: You can drag and drop a file or click to upload

If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.
If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Idle

Product becomes perfume

您的请求将花费 $0.04 每次运行。

使用 $1 您可以运行此模型大约 25 次。

还有一件事：:

示例查看全部

Product becomes perfume
change the sheep to a black cat
change to a female with long hair
make it colorful
Let this dog run in a large grass field

README

Bria FIBO Edit

Bria FIBO Edit is a powerful image editing model that transforms images based on text prompts. Upload your images, describe the changes you want, and optionally provide a mask to target specific areas — the model applies intelligent edits while preserving the overall composition and quality.

Why Choose This?

  • Text-guided editing Describe edits in natural language — change objects, modify styles, transform products, and more.

  • Mask support Optionally provide a mask image to target specific areas for precise, localized edits.

  • Multi-image input Upload multiple reference images for context-aware editing.

  • Negative prompt support Specify what to avoid in the output for better control over results.

  • Structured prompts Advanced prompt formatting for complex editing instructions.

Parameters

ParameterRequiredDescription
promptYesText description of the desired edit
imagesYesSource images to edit (can add multiple)
mask_imageNoMask image to target specific areas for editing
negative_promptNoDescribe what to avoid in the output
structured_promptNoAdvanced structured prompt for complex edits
seedNoRandom seed for reproducibility (-1 for random)

How to Use

  1. Write your prompt — describe the edit you want (e.g., "Product becomes perfume", "Change background to beach").
  2. Upload images — add source images using "+ Add Item" button.
  3. Add mask (optional) — upload a mask to target specific areas.
  4. Add negative prompt (optional) — specify what to avoid.
  5. Set seed — use -1 for random, or specify a number for reproducibility.
  6. Run — submit and download the edited image.

Best Use Cases

  • Product Transformation — Change product types while maintaining composition.
  • Object Replacement — Swap objects in images with text instructions.
  • Style Editing — Modify visual styles, colors, or aesthetics.
  • Background Changes — Transform backgrounds while preserving subjects.
  • Creative Retouching — Apply artistic edits with natural language.

Pro Tips

  • Be specific in your prompt — clearly describe what should change.
  • Use mask images for precise control over which areas to edit.
  • Use negative prompts to avoid unwanted elements in the output.
  • Start with simple edits to understand how the model interprets prompts.
  • Use the same seed to compare different prompts on the same image.

Notes

  • Multiple images can be uploaded for context-aware editing.
  • Mask image should be black and white — white areas will be edited.
  • For best results, use high-quality source images.

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