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
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Let us control diffusion models!
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!
stable diffusion webui colab
High-Resolution Image Synthesis with Latent Diffusion Models
Enjoy the magic of Diffusion models!
HunyuanVideo: A Systematic Framework For Large Video Generation Model
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。
Production ready toolkit to run AI locally
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
The Swiss Army Knife of Offline AI. Chat, see, speak, and generate images on your phone or Mac — GGUF LLMs, vision, Whisper speech-to-text, Stable Diffusion, tool calling, and local-network servers. Runs on your CPU, GPU, or NPU. No account, no API key, zero data leaves your device.
Code for running RFdiffusion
Make videos on the computer you already own. FreeVideo runs MiniMax H3 in as little as 8 GB of VRAM and 16 GB of RAM, and adapts its acceleration path to your hardware.