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.
A latent text-to-image diffusion model
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Industry leading face manipulation platform
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
Official inference repo for FLUX.1 models
Torch implementation of neural style algorithm
sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)
Stable Diffusion with Core ML on Apple Silicon
Janus-Series: Unified Multimodal Understanding and Generation Models
StyleGAN - Official TensorFlow Implementation
Formerly KrillinAI, VideoTranslation and Dubbing Tool for 120+ Languages. Open-source AI workspace for creators, powered by Codex. Video downloader, video translation, create videos, images, audios, and edits with Agents in one place. For your Social Media like YouTube, TikTok, Instagram, etc.
Enjoy the magic of Diffusion models!
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
StyleGAN2 - Official TensorFlow Implementation
Style transfer, deep learning, feature transform
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)