Stable Diffusion web UI
- deep-learning
- diffusion
- image-generation
- image2image
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Stable Diffusion web UI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.
World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant into a full video production studio.
A latent text-to-image diffusion model
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Let us control diffusion models!
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Stable Diffusion with Core ML on Apple Silicon
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Lets make video diffusion practical!
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
stable diffusion webui colab
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
High-Resolution Image Synthesis with Latent Diffusion Models
Enjoy the magic of Diffusion models!
HunyuanVideo: A Systematic Framework For Large Video Generation Model
Official implementation of AnimateDiff.
Official repository for LTX-Video
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
[CVPR 2024] Official repository for "MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model"
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。