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[ICCV 2025] DreamRenderer: Taming Multi-Instance Attribute Control in Large-Scale Text-to-Image Models (official implement)
Create web-based user interfaces with Python. The nice way.
Rule Snippet & Rule Set for Surge / Mihomo (Clash.Meta) / Clash Premium (Dreamacro) / sing-box / Surfboard for Android / Stash
A modern Python package and dependency manager supporting the latest PEP standards
A collection of resources on controllable generation with text-to-image diffusion models.
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
This repository collects an extensive list of awesome papers about Story Generation / Storytelling, exclusively focusing on the era of Large Language Models (LLMs).
[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"
本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)
Stable Diffusion with Core ML on Apple Silicon
A BERT that you can train on a (gaming) laptop.
set prompt to divided region
[CVPR2024, Highlight] Official code for DragDiffusion
Easily compute clip embeddings and build a clip retrieval system with them
Codebase for performing various experiments with Stable Diffusion, supported by the diffusers library.
Dynamic Thresholding (CFG Scale Fix) for Stable Diffusion (SwarmUI, ComfyUI, and Auto WebUI)
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
[Unmaintained, see README] An ecosystem of Rust libraries for working with large language models
MiniOB is a compact database that assists developers in understanding the fundamental workings of a database.
A 13B large language model developed by Baichuan Intelligent Technology
VUDA is a header-only library based on Vulkan that provides a CUDA Runtime API interface for writing GPU-accelerated applications.