drhead/pack-coordinator
Pairwise Analysis and Cleanup Kit for image boards
Pairwise Analysis and Cleanup Kit for image boards
Python bindings for JPEG XL and JPEG encoding/decoding, powered by libjxl and libjpeg-turbo. Both libraries are statically linked — no system dependencies required.
Library of custom Torchvision transforms built for accuracy, visual quality, and speed.
The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Python Imaging Library (Fork)
A comprehensive codebase for training and finetuning Image <> Latent models.
Improved AnimateDiff for ComfyUI and Advanced Sampling Support
Provide large guidance scale correction for Stable Diffusion web UI (AUTOMATIC1111), implementing the paper "Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale"
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Karras et al. (2022) diffusion models for PyTorch
Adds a CFG rescale option to A1111 webui for vpred models.
High-Resolution Image Synthesis with Latent Diffusion Models
Enhance Stable Diffusion image quality, prompt following, and more through multiple implementations of novel algorithms for Automatic1111 WebUI.
Datasets, Transforms and Models specific to Computer Vision
a1111 implementation of https://github.com/ChenyangSi/FreeU
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Pillow plugin for JPEG-XL, using Rust for bindings.
Schedule-Free Optimization in PyTorch
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
LPIPS metric. pip install lpips
Stable Diffusion web UI
Official implementation of AnimateDiff.