This repository contains a number of useful Jupyter/Colab notebooks, which can be used by AI Artists. Feel free to use for your projects! Any credits back to this repo will be appreciated!
More details on different AI tools for AI Artists can be found in my blog post.
| Notebook | Content | Open |
|---|---|---|
| Stable Diffusion Workbook | This notebook shows you how to use Stable Diffusion family of models to generate images from text and image prompts, and how to apply image-to-image to video |  |
| Stable Diffusion Latent Video | Create a video that shows transition from one point in prompt semantic space to another by navigating the text representation landscape | |
| Style Transfer | Demonstrate how to use Style Transfer model from TensorFlow Hub, and how to apply style transfer to a video | |
| Text Generation Workbook | Train bidirectional LSTM model to generate text, either using character-level or word-level tokenization | |
| Cognitive Portrait Workshop | Create Cognitive Portraits from a set of photographs | |
| Notebook | Content | Open |
|---|---|---|
| VQGAN+CLIP by Katherine Crowson | Text-to-Image Generation using VQGAN+CLIP | |
| GANShare One - another VQGAN+CLIP Notebook | |
|
| AUTOMATIC Stable Diffusion WebUI by camenduru | Running interactive AUTOMATIC Stable Diffusion WebUI from Google Colab | |
| DreamBooth Stable Diffusion Training | Training Stable Diffusion model using DreamBooth approach | |
| ruDALL-E | Image Generation from Russian Prompt | |
| ruDALL-E Aspect Ratio | ruDALL-E generation with wide/tall aspect ratios | |