Stable-Diffusion-WebUI. One simple notebook for two environments: Colab (Pro|Free) / Kaggle.

一个支持部署多种 WebUI 的 Jupyter Notebook

Stable Diffusion, SDXL, LoRA Training, DreamBooth Training, Automatic1111 Web UI, DeepFake, Deep Fakes, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya LoRA, Kandinsky 2, DeepFloyd IF, Midjourney

Just some notebooks I wrote to research some fun stuff in hobby time

Jupyter notebook for Stable Diffusion Web UI and Stable Diffusion Web UI Forge.

Colab notebook for Stable Diffusion Hyper-SDXL.

This repository contains Google Colab Notebooks to run InvokeAi on Google Colab GPU

fast-stable-diffusion + DreamBooth

A single jupyter notebook to reimplement sd-face-editor

Yet another multi-purpose Colab Notebook

Colab notebook for quick Stable Diffusion model evaluations.

The workshop covers two topics: How to use GenAI tools for image data using Huggingface models (Stable Diffusion) in Python and How to build simple interface for self-hosted LLM-based chatbot in Jupyter notebook

A simple jupyter notebook that will help you fine tune your own Instruct Pix2Pix Stable Diffusion model.

Kaggle notebook to generate and download AI images with Stable Diffusion automatically

Code scripts from repositories - but with minor edits. Likely aren't really working, but if they are they are being used in our colab and notebook spaces.

A Jupyter widgets-based interactive notebook for Google Colab to generate images using Stable Diffusion.

Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention. Join our Discord communty: https://discord.com/invite/TgHXuSJEk6

Create an interpolated gif using a Stable Diffusion on a Jupyter Notebook for free on Colab

InsightSolver: Colab notebooks for exploring and solving operational issues using deep learning, machine learning, and related models.

This notebook demonstrates how to generate images using Stable Diffusion models. It provides examples of different models and prompts you can use to generate images.