Creative AI - Mastering Image Generation with Python Diffusion Networks

+ 01 Reshape image data for NN 3 lectures

01 Preprocess image data with Python Locked

02 Load flower image dataset in Colab Locked

03 Reshape image data with Python Locked

+ 02 Calculate Kernel Inception Distance 2 lectures

01 Calculate Kernel Inception Distance in Python Locked

02 Update Kernel State with Keras Locked

+ 03 Build downsampling and upsampling with Keras 2 lectures

01 Build residual block with Python Locked

02 Build down and up blocks with Keras Locked

+ 04 Build a CNN with Keras 2 lectures

01 Build sinusoidal embedding with TensorFlow Locked

02 Build a CNN for image generation Locked

+ 05 Build a diffusion model for image generation 4 lectures

01 Build a diffusion schedule with TensorFlow Locked

02 Denoise images in Python Locked

03 Build a diffusion model for image generation Locked

04 Build reverse diffusion algorithm Locked

+ 06 Generate images with diffusion 3 lectures

01 Generate images with diffusion Locked

02 Build training step for model Locked

03 Build Keras model test step Locked

+ 07 Train and visualize image generation model 2 lectures

01 Run model training for diffusion image generation Locked

02 Visualize image generation results Locked

+ 08 What are diffusion models 3 lectures

01 What are diffusion models Locked

02 What is the diffusers library Locked

03 What is stable diffusion Locked

+ 09 Image generation with Stable Diffusion Python 1 lecture

01 Load Stable Diffusion model in Colab Locked

+ 10 Image to image translation with Stable Diffusion Python 3 lectures

01 Load pretrained image translation model Locked

02 Preprocess original image for translation with Python Locked

03 Generate image variant with prompt Locked

+ 11 Inpainting with Stable Diffusion Python 2 lectures

01 Load images for inpainting Locked

02 Generate inpainted image with prompt Locked