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🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Stable Diffusion and Flux in pure C/C++
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2…
Implicit Style-Content Separation using B-LoRA
[ECCV2024] Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization
A Collection of Variational Autoencoders (VAE) in PyTorch.
An infinite number of monkeys randomly throwing paint at a canvas
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
A small neural network to provide interoperability between the latents generated by the different Stable Diffusion models.
Best inference performance optimization framework for HuggingFace Diffusers on NVIDIA GPUs.
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
nbardy / swin2sr
Forked from mv-lab/swin2srSwin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 2.5 M runs https://replicate.com/mv-lab/…
Stability.AI Model Metadata Standard Specification
OneTrainer is a one-stop solution for all your stable diffusion training needs.
Generative Models by Stability AI
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
An open source Scheduling Agent for Generative AI
Unofficial Implementation of DragGAN - "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold" (DragGAN 全功能实现,在线Demo,本地部署试用,代码、模型已全部开源,支持Windows, macOS, Linux)
Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
The source for the Linux kernel used in Windows Subsystem for Linux 2 (WSL2)
GPU-ready Dockerfile to run Stability.AI stable-diffusion model v2 with a simple web interface. Includes multi-GPUs support.
Access to Anthropic's safety-first language model APIs
Repository with which to explore k-diffusion and diffusers, and within which changes to said packages may be tested.