> ## Documentation Index > Fetch the complete documentation index at: https://hyper.julian.sc/llms.txt > Use this file to discover all available pages before exploring further. # HyperGen Documentation > Train & run diffusion models 3x faster with 80% less VRAM HyperGen ## Welcome to HyperGen HyperGen is an optimized inference and fine-tuning framework for image & video diffusion models. Train LoRAs in just 5 lines of code, or serve models with an OpenAI-compatible API. Get started with HyperGen in under 5 minutes Learn how to train LoRA adapters for diffusion models Deploy models with OpenAI-compatible API Explore the Python and HTTP APIs ## Features Train LoRAs in just 5 lines of code. No complex configurations or lengthy notebooks required. ```python theme={null} from hypergen import model, dataset m = model.load("stabilityai/stable-diffusion-xl-base-1.0") ds = dataset.load("./my_images") lora = m.train_lora(ds, steps=1000) ``` Serve models with a production-ready API that's compatible with OpenAI's image generation API. ```bash theme={null} hypergen serve stabilityai/stable-diffusion-xl-base-1.0 --api-key your-key ``` Works with any diffusion model from HuggingFace: * FLUX.1 * Stable Diffusion XL * Stable Diffusion 3 * CogVideoX (video) * And more... Optimized for speed and memory efficiency: * Automatic mixed precision * Gradient checkpointing * Flash Attention support * Request queuing and batching ## Installation ```bash pip theme={null} pip install hypergen ``` ```bash uv theme={null} uv pip install hypergen ``` ```bash from source theme={null} git clone https://github.com/ntegrals/hypergen.git cd hypergen pip install -e . ``` ## Quick Example Here's how simple it is to train a LoRA: ```python theme={null} from hypergen import model, dataset # Load model m = model.load("stabilityai/stable-diffusion-xl-base-1.0") m.to("cuda") # Load dataset ds = dataset.load("./my_images") # Train LoRA lora = m.train_lora(ds, steps=1000) ``` And to serve a model: ```bash theme={null} hypergen serve stabilityai/stable-diffusion-xl-base-1.0 \ --api-key token-abc123 \ --port 8000 ``` ## Next Steps Detailed installation instructions and requirements Learn how to train your first LoRA Deploy models in production Browse all supported model architectures ## Community Star us on GitHub View on PyPI Browse code examples