Sotamaker's starred repositories
Pix2Text
An Open-Source Python3 tool for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.
AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
deep-tempest
Restoration for TEMPEST images using deep-learning
BFN-Solver
Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"
awesome-text-to-image-studies
A collection of awesome text-to-image generation studies.
Awesome-Diffusion-Model-Based-Image-Editing-Methods
Diffusion Model-Based Image Editing: A Survey (arXiv)
Awesome-Controllable-T2I-Diffusion-Models
A collection of resources on controllable generation with text-to-image diffusion models.
Awesome-Text-to-Image
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
Awesome-Controllable-Diffusion
Papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, T2I-Adapter, IP-Adapter.
PixArt-alpha
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Generative-AI
[TPAMI 2023] Multimodal Image Synthesis and Editing: The Generative AI Era
pytorch-template
To be the world's best PyTorch project template.
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
StreamDiffusion
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
stable-diffusion-webui
Stable Diffusion web UI
sd-webui-controlnet
WebUI extension for ControlNet
Diffusion-SpaceTime-Attn
Official implementation of the paper "Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis"
In-Context-Learning_PaperList
Paper List for In-context Learning 🌷
iclr2024_stats
ICLR2024 statistics
stable_signature
Official implementation of the paper "The Stable Signature Rooting Watermarks in Latent Diffusion Models"