
Advanced Stable Diffusion With Comfyui And Sdxl
Last updated 8/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
What you’ll learn
Install ComfyUI on Windows 10 and 11
Learn the core aspects of using ComfyUI, SDXL and Stable Diffusion 1.5
How to use ComfyUI alongside Automatic1111
Understanding fully how to create and assess complex ComfyUI Workflows
Super resolution methods to increase image sizes using ComfyUI methods and models
Use ControlNet Preprocessors to create depth maps and output controls
Build on knowledge gain in the course: Learn Generative AI with SDXL, Stable Diffusion and ComfyUI
Create your own Stable Diffusion models using model merging
Correct hand postures using the Meshgraphomer ControlNet model
Understand the use of Control-loras, ControlNets, Loras, Embeddings and T2I Adapters within ComfyUI
The hardware practicalities of running Stable Diffusion and storing models
Learn about the use of Generative Adverserial Networks and CLIP Neural Networks in the Stable Diffusion workflow
Build on knowledge gained during the use of other Stable Diffusion user interfaces
ComfySpace – A way of organising workflows, images and models
Requirements
An understanding of how to create simple and complex Stable Diffusion prompts
A Windows PC with an Nvidia RTX Graphics card with at least 8GB of VRAM. (Students without an Nvidia GPU can run ComfyUI but will struggle with some course material.)
A beginner’s understanding of the workflow within ComfyUI OR an intermediate understanding of the use of other versions of Stable Diffusion
Description
Who this course is for:
This course is ideal for learners who want to understand the differences between ComfyUI and other versions of Stable Diffusion like Automatic1111 and Invoke,Students wanting to learn the very latest features available for SDXL,Students wanting to learn about the very latest models available for use with ComfyUI, SDXL and Stable Diffusion 1.5,Creatives with prior experience of ComfyUI who want to expand their skill range
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