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Bria

FIBO 2.0

fibo-2.0/image-to-image

A unified image model from Bria that handles text-to-image generation and instruction-based image editing within a single model, accepting up to four input images for editing; trained only on licensed data, it is suitable for concept art, marketing stills, and e-commerce product images

Try fibo-2.0/image-to-image

Input

Output

image
Fill in the parameters and run — results show up here.

Pricing

fibo-2.0/image-to-image per image

Unit Price $0.0572

Positioning Overview

This image-to-image model supports image modification or composition based on one image to be edited, combined with up to three reference images and natural-language instructions. Prompts can be up to 10,000 characters, and inputs can be referenced by index such as <image_1>; output is approximately one million pixels, and the aspect ratio can be specified from among 21 presets. It is suitable for designers and developers who need to make targeted adjustments to an image according to instructions, blend multiple assets, and control composition ratios, for scenarios such as concept iteration and marketing asset production.

Core Highlights

  • Instruction-driven multi-image editing and composition — Based primarily on one image to be edited, with up to three additional reference images that can be referenced by index in the instructions, enabling local modifications or multi-image blending.
  • Flexible output ratio options — Provides 21 aspect ratio presets; with multi-image input, the output ratio can be specified as needed, while single-image editing preserves the original image ratio.
  • Seed control enables reproducible results — Pass a random seed between 0 and 2147483647; the same seed with the same input produces consistent output, facilitating A/B comparisons.
  • Masks constrain local editing scope — An optional mask image specifies the editing region: white areas are modified and black areas are preserved; supported only for single-image editing, and the mask must match the original image dimensions.

Capability Description

Multi-image instruction editing and composition: Input 1 to 4 public image URLs; the first is the image to be edited and the remaining up to three are reference images. Instructions can reference each image in order using <image_1>, <image_2>, etc., to achieve local modifications or cross-image element blending.

Mask-constrained local modification: When a mask image is provided, only single-image editing is supported (image_urls may contain only 1 image); white areas are the regions to modify and black areas are preserved. The mask must match the original image dimensions, making it suitable for precise local replacement.

Output ratio specified as needed: With multi-image input, choose one output aspect ratio from 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 16:10, 10:16, 2:1, 1:2, 21:9, 9:21, 3:1, 1:3, 4:1, 1:4, 5:1, or 1:5; single-image editing always preserves the original image ratio.

Ample instruction character capacity: Prompts can be up to 10,000 characters, allowing detailed descriptions of modification requirements and references to multiple input assets by image index, making it easy to express complex editing instructions.

Seed reproduces editing results: Fix the random seed via the seed parameter; the same seed with the same input reproduces the same result, making it convenient to compare parameters or roll back versions on the same editing task.

Use Cases

  • Designers making targeted modifications to concept images — Input a concept design image with modification instructions, specify the local areas or attributes to adjust, and output the modified image for concept iteration and review presentations.
  • Multi-image composition for e-commerce scenarios — Use a product image as the main image together with up to three scene or style reference images, and generate lifestyle scene images through instructions for product detail pages or advertising assets.
  • Marketing asset ratio adaptation — With multi-image input, specify output ratios such as 1:1, 16:9, or 9:16 to quickly generate marketing stills suited to different placements, reducing secondary cropping.
  • Precise local replacement with masks — Provide a mask for a single image to modify only the white-marked area while preserving the rest of the image, suitable for replacing parts of a product or removing unwanted elements.

Limitations and Selection Advice

Each request accepts at most 4 input images; when using a mask with single-image editing, only 1 image is supported, and the mask dimensions must match the original image. Prompts can be up to 10,000 characters; longer prompts cannot be submitted. The output aspect ratio can only be selected from the 21 presets, and single-image editing fixes the original image ratio and cannot specify otherwise. Seeds only guarantee reproducibility under identical input and do not promise consistent results across different parameter combinations.

  • New model FIBO 2.0 Image Editing Now Live
  • New model FIBO 2.0 Text-to-Image Now Live

Frequently asked questions

View all FAQs →
  • How do I fix the composition to reproduce the same image?

    To reproduce the same result, simply fix the seed and keep the prompt unchanged. The seed defaults to 5555 and accepts values from 0 to 2147483647; as long as the seed and prompt stay the same, the output stays the same. Changing the seed yields a different composition on the same subject.

  • Which aspect ratios can I choose? What is the resolution?

    Pick an aspect ratio from the presets based on your composition; the output is approximately 1 megapixel. Available values include 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 16:10, 10:16, 2:1, 1:2, 21:9, 9:21, as well as elongated ratios such as 3:1, 1:3, 4:1, 1:4, 5:1, 1:5; if not provided, the default is 1:1.

  • Can a reference image and a style preset be used together in text-to-image?

    They cannot be used at the same time; you can only choose one of the two. In text-to-image, if you pass style, you cannot also pass image_url, and vice versa; if you want a reference image to set the scene, give up the style preset, and if you want film, hard flash, hazy, or gritty realistic feel, use only text prompts. Image-to-image editing has no style preset parameter; the visual tone is written directly in the instruction.

  • What photography style presets are available for text-to-image?

    Text-to-image supports four photographic looks: Kodak Film, Hard Flash, Hazy Dreamy, and Rough Realism. They serve only as an optional overall photo tone and are mutually exclusive with reference images; when precise control of lighting and camera position is needed, you should still specify it in the prompt rather than relying solely on presets. Image-to-image editing does not offer style presets.

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