CreatiLayout

CreatiLayout technology for creative layout-to-image generation is based on Siamese Multimodal Diffusion Transformers.

CommonProductImageImage GenerationMultimodal

CreatiLayout is an innovative layout-to-image generation technology that employs the Siamese Multimodal Diffusion Transformer to achieve high-quality, finely controlled image outputs. This technology can accurately render complex attributes such as color, texture, shape, quantity, and text, making it suitable for applications that demand precise layout and image generation. Its primary benefits include efficient layout-guided integration, powerful image generation capabilities, and support for large-scale datasets. CreatiLayout is jointly developed by Fudan University and ByteDance, aimed at promoting the application of image generation technology in the creative design field.

Supports complex layout-to-image generation
accurately rendering attributes like color
texture
and shape.
Utilizes a twin-branch structure to independently handle the interaction between images and layouts.
Offers the large-scale layout dataset LayoutSAM
containing 2.7 million image-text pairs and 10.7 million entities.
Constructs the LayoutSAM-Eval benchmark tool to evaluate the quality of layout-to-image generation.
Introduces LayoutDesigner
leveraging large language models for layout planning and optimization.

\CreatiLayout is designed for designers
creatives
researchers
and developers in related fields who require precise layouts and high-quality image generation. It helps users quickly produce images that meet specific layout criteria
enhancing design efficiency and creative expression.\

Designers use CreatiLayout to generate product promotional images that meet specific layout requirements.
Researchers explore new methods and application scenarios for image generation using this technology.
Creative professionals leverage CreatiLayout to realize complex creative ideas and generate aesthetically pleasing images.

Visit the official CreatiLayout website or GitHub page to obtain the code and datasets.
Download and install the required libraries and environment.
Set up and configure the CreatiLayout model according to the provided documentation and sample code.
Prepare the necessary layout information and text descriptions as input data.
Run the model to generate images

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