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PyTorch code for Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
A Change Detection Repo Standing on the Shoulders of Giants
Code for the paper DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents, ICML 2024
[ECCV 2024] HiDiffusion: Increases the resolution and speed of your diffusion model by only adding a single line of code!
[ECCV 2024] Official Repository for DiffiT: Diffusion Vision Transformers for Image Generation
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
Official PyTorch Implementation of "Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models"
A big_vision inspired repo that implements a generic Auto-Encoder class capable in representation learning and generative modeling.
Lumina-T2X is a unified framework for Text to Any Modality Generation
An easy way to apply LoRA to CLIP. Implementation of the paper "Low-Rank Few-Shot Adaptation of Vision-Language Models" (CLIP-LoRA) [CVPRW 2024].
The official code of "U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers"
[ICLR 2024] Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
An implemtation of Everyting of Thoughts (XoT).
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
An open-source toolbox for fast sampling of diffusion models. Official implementations for our [CVPR-2024, ICML-2024] papers
[ICML 2024] Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning