Official Code for DragGAN (SIGGRAPH 2023)
- artificial-intelligence
- generative-adversarial-network
- generative-models
- image-manipulation
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Official Code for DragGAN (SIGGRAPH 2023)
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
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.
Image-to-Image Translation in PyTorch
PyTorch implementations of Generative Adversarial Networks.
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Image-to-image translation with conditional adversarial nets
🦙 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)
Interactive Image Generation via Generative Adversarial Networks
Specialised AI models for logo design — a brand-analysis model turns a business into constraints, typography and symbol models construct the mark, and a composition engine produces real lockups and clear-space rules. Early access open.
Generative Adversarial Text to Image Synthesis / Please Star -->
Edit photos by describing the change, on your own GPU. A free, open-source alternative to Nano Banana and ChatGPT image editing: photos stay on your computer, no daily limit. One installer for Windows, Mac and Linux sets up the best open model (Qwen-Image 2.1). MCP server for AI agents.
TranslatedA manga production tool for Codex that takes you from the source material through script, image generation, typesetting, and PDF output
Unsupervised Image to Image Translation with Generative Adversarial Networks