Stable Diffusion web UI
- deep-learning
- diffusion
- image-generation
- image2image
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Stable Diffusion web UI
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
A community-maintained Python framework for creating mathematical animations.
The repository host gives no description.
Rembg is a tool to remove images background
Translated⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. A lightweight AI algorithm for making ID photos.
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
TranslatedBlind&Invisible Watermark, image blind watermark, no original image needed to extract the watermark!
Image augmentation for machine learning experiments.
Python Imaging Library (fork)
🐍 Geometric Computer Vision Library for Spatial AI
A fast AI Video Generator for the GPU Poor. Supports Minimax H3, LTX-2.3/2.5, Wan 2.1/2.2, Qwen Image 1/2, Krea 2, Hunyuan Video, LTX Video and Flux.
Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
Translated💮 amazing QRCode generator (supporting animated gif) - amazing QR code generator (supports animated gif QR codes)
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ https://greasyfork.org/en/scripts/437569-cotrans-manga-image-translator-regular-edition
thumbor is an open-source photo thumbnail service by globo.com
Blender addons to make the bridge between Blender and geographic data
Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
ASCII generator (image to text, image to image, video to video)
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
Stable Diffusion built-in to Blender
A self-hosted open source photo management service.
TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
SD.Next: All-in-one WebUI for AI generative image and video creation, captioning and processing