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【2024 ECAI】First Creating Backgrounds Then Rendering Texts: A New Paradigm for Visual Text Blending
Official implementation of Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Text-To-Image Generation with Chinese Characters
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything