YqGao716's repositories

Attend-and-Excite

Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)

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BoxDiff

[ICCV 2023] BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion

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Chinese-LLaMA-Alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

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consistencydecoder

Consistency Distilled Diff VAE

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custom-diffusion

Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

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daam

Diffusion attentive attribution maps for interpreting Stable Diffusion.

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diffusion-classifier

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

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Energy-Based-CrossAttention

The official repository of "Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models".

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FreeU

FreeU: Free Lunch in Diffusion U-Net

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improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

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LLaMA-Adapter

Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

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MasaCtrl

Consistent Image Synthesis and Editing, ICCV 2023

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MiniGPT-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

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MultiDiffusion

Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)

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peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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photoswap

Official implementation of the paper "Photoswap: Personalized Subject Swapping in Images"

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ProSpect

Official implementation of the paper "ProSpect: Expanded Conditioning for the Personalization of Attribute-aware Image Generation"

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rich-text-to-image

Rich-Text-to-Image Generation

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SEARLE

[ICCV 2023] - Zero-shot Composed Image Retrieval with Textual Inversion

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SEED

Empowers LLMs with the ability to see and draw.

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SHIP

Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"

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TheChosenOne

Unofficial implementation of the paper "The Chosen One: Consistent Characters in Text-to-Image Diffusion Models"

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tifa

TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering

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TOAST

Official code for "Refocusing Is Key to Transfer Learning"

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