Imagen
contrastive-unpaired-translation
CUT — contrastive unpaired image-to-image translation in PyTorch, faster and lighter than CycleGAN (ECCV 2020)
★ 2,6k estrellasNOASSERTION
Ver la guía →pytorch-CycleGAN-and-pix2pix es un proyecto de imagen de código abierto de junyanz (junyanz/pytorch-CycleGAN-and-pix2pix en GitHub). Tiene 25.256 estrellas en GitHub y 6.566 bifurcaciones, se publica bajo la licencia NOASSERTION y se actualizó por última vez en GitHub el 6 de agosto de 2025.
The classic PyTorch implementation of CycleGAN and pix2pix for image-to-image translation
Decide what you want to achieve with pytorch-CycleGAN-and-pix2pix and check the README on GitHub for requirements before installing.
Clone the repository from GitHub (or take the packaged install route in step 3 if the README offers one).
Follow the project's documented install commands — the Run section below lists the exact ones — and add any required API keys or models.
Work through the README's quickstart example end to end, then adapt it to your own project or data.
CycleGAN for unpaired data and pix2pix for paired data in one codebase.
Download and apply pre-trained CycleGAN/pix2pix models without training your own.
Documented train/test flows for both models, including multi-GPU training.
Scripts and docs for downloading the standard datasets (facades, maps, horse2zebra and more).
Guides for adapting the code to your own model and dataset.
Tips, FAQ and troubleshooting docs accumulated from years of community use.
Get the CycleGAN/pix2pix PyTorch code.
git clone https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix.git
cd pytorch-CycleGAN-and-pix2pixCreate the documented conda environment (or install PyTorch plus the requirements) per the README installation section.
# install PyTorch from pytorch.org, then see the README 'Installation' for the conda env commandsDownload a pre-trained model with the provided scripts and run the test script on your images.
# see the README 'Apply a pre-trained model (CycleGAN)' section for the exact commandspytorch-CycleGAN-and-pix2pix is maintained by the junyanz organization/account on GitHub, together with open-source contributors, in the public repository junyanz/pytorch-CycleGAN-and-pix2pix.
Yes — the code is open source under the NOASSERTION license. Check the repository's LICENSE file for the exact terms before commercial use.
No API key — everything runs locally; the real cost is a GPU for training (inference with pre-trained models is lighter).
Modern diffusion tools are easier and higher fidelity for many tasks, but this repo remains the canonical, citable implementation for learning and reproducing CycleGAN/pix2pix results.
Clone the repository from GitHub, follow the install commands in the Run section (taken from the project's README), and complete the documented quickstart example before adapting it to your own use case.
CUT — contrastive unpaired image-to-image translation in PyTorch, faster and lighter than CycleGAN (ECCV 2020)
Unofficial DragGAN implementation: drag points on a GAN image to edit it interactively
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
AI image descriptions for Immich — Ollama analyzes, database updates
ByteDance's open-source unified multimodal model for understanding, generation and image editing.
Tencent's HunyuanImage-3.0 — a powerful native multimodal model for image generation.
Los demás proyectos de Imagen con más estrellas del catálogo de LibreAI: la lista realista de alternativas si pytorch-CycleGAN-and-pix2pix no es lo que buscas.
Stable Diffusion web UI
The node-graph powerhouse for precise, professional AI image and video generation.
High performance self-hosted photo and video management solution
PhotoCraft — a clean-room Photoshop reimplementation in pure Rust: layers, masks, adjustment layers, type, vectors, brushes and real PSD files, offline, MIT / Apache-2.0
Focus on prompting and generating
Proyectos de Imagen cercanos en el catálogo, los más próximos en estrellas a pytorch-CycleGAN-and-pix2pix: sigue explorando a ambos lados.
Make images smaller using best-in-class codecs, right in the browser.
Rembg is a tool to remove images background
Black Forest Labs' official inference repo for the FLUX.1 image generation models
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
A polished creative studio for professionals who want power without the node spaghetti.
SAM 2 — Meta's Segment Anything Model 2: promptable segmentation for images and video, Apache-2.0
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.