About Keras
Getting started
Developer guides
Keras 3 API documentation
Keras 2 API documentation
Code examples
Computer Vision
Natural Language Processing
Structured Data
Timeseries
Generative Deep Learning
Denoising Diffusion Implicit Models
A walk through latent space with Stable Diffusion
DreamBooth
Denoising Diffusion Probabilistic Models
Teach StableDiffusion new concepts via Textual Inversion
Fine-tuning Stable Diffusion
Variational AutoEncoder
GAN overriding Model.train_step
WGAN-GP overriding Model.train_step
Conditional GAN
CycleGAN
Data-efficient GANs with Adaptive Discriminator Augmentation
Deep Dream
GauGAN for conditional image generation
PixelCNN
Face image generation with StyleGAN
Vector-Quantized Variational Autoencoders
Neural style transfer
Neural Style Transfer with AdaIN
GPT2 Text Generation with KerasHub
GPT text generation from scratch with KerasHub
Text generation with a miniature GPT
Character-level text generation with LSTM
Text Generation using FNet
Drug Molecule Generation with VAE
WGAN-GP with R-GCN for the generation of small molecular graphs
A walk through latent space with Stable Diffusion 3
Density estimation using Real NVP
Audio Data
Reinforcement Learning
Graph Data
Quick Keras Recipes
KerasTuner: Hyperparameter Tuning
KerasHub: Pretrained Models
KerasCV: Computer Vision Workflows
KerasNLP: Natural Language Workflows
search
►
Code examples
/ Generative Deep Learning
Generative Deep Learning
Image generation
★
V3
Denoising Diffusion Implicit Models
★
V3
A walk through latent space with Stable Diffusion
V2
DreamBooth
V2
Denoising Diffusion Probabilistic Models
V2
Teach StableDiffusion new concepts via Textual Inversion
V2
Fine-tuning Stable Diffusion
V3
Variational AutoEncoder
V3
GAN overriding Model.train_step
V3
WGAN-GP overriding Model.train_step
V3
Conditional GAN
V3
CycleGAN
V2
Data-efficient GANs with Adaptive Discriminator Augmentation
V3
Deep Dream
V3
GauGAN for conditional image generation
V3
PixelCNN
V2
Face image generation with StyleGAN
V2
Vector-Quantized Variational Autoencoders
Style transfer
V3
Neural style transfer
V2
Neural Style Transfer with AdaIN
Text generation
★
V3
GPT2 Text Generation with KerasHub
V3
GPT text generation from scratch with KerasHub
V3
Text generation with a miniature GPT
V3
Character-level text generation with LSTM
V2
Text Generation using FNet
Graph generation
V2
Drug Molecule Generation with VAE
V2
WGAN-GP with R-GCN for the generation of small molecular graphs
Other
V2
A walk through latent space with Stable Diffusion 3
V2
Density estimation using Real NVP