SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
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Updated
Nov 11, 2025 - Python
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
LTX-Video Support for ComfyUI
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
[AAAI 2025]👔IMAGDressing👔: Interactive Modular Apparel Generation for Virtual Dressing. It enables customizable human image generation with flexible garment, pose, and scene control, ensuring high fidelity and garment consistency for virtual dressing.
[CVPR 2025 Oral]Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
Rich-Text-to-Image Generation
(Accepted by IJCV) Liquid: Language Models are Scalable and Unified Multi-modal Generators
UniWorld: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation
[NeurIPS-2023] Annual Conference on Neural Information Processing Systems
Faster generation with text-to-image diffusion models.
[NeurIPS'23] "MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing".
[NeurIPS 2024] ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
[ICCV 2023 Oral, Best Paper Finalist] ITI-GEN: Inclusive Text-to-Image Generation
[CVPR 2025] Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization
🔥 [CVPR2024] Official implementation of "Self-correcting LLM-controlled Diffusion Models (SLD)
Official codebase for Margin-aware Preference Optimization for Aligning Diffusion Models without Reference (MaPO).
[NeurIPS 2024] Official implementation of "BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models".
[ECCV 2024 Oral] ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction
[IEEE TIP 2023] Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks
Official repository for "CFG++: manifold-constrained classifier free guidance for diffusion models" (ICLR2025)
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