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Introduction

Technical Design Flowchart

Installing Chrome

Chromedriver not available and how to fix it

Testing selenium webdriver

Autogen code overview

AI Agents more in-depth

Fetch image overview

Accessing page source

Gotcha with page source

Renaming low resolution link to highest resolution link

Testing the fetch_images script

Revisiting the Autogen code

Autogen in action

Checking the downloaded images

Organizing the images

Using Topaz Gigapixel AI to upscale images

Loading LLM framework overview

Installing text-generation-webui

Showing git hash for text-generation-webui

Downloading llava-v1.5-13b-GPTQ

Support LLaVA v1.5 pull request

Commit log for LLaVA v1.5

Original LLaVA v1.5-13b repository

Possible ? to load llava-v1.5-13b using --load-in-4bit flag in the readme

Downloading the model through CLI

Model Placement in text-generation-webui directory

Multimodal documentation for starting up API

Command to start the server

text-generation-webui GUI

Looking at pull request to see suggested settings

Changing presets in text-generation-webui

Initial trials in the GUI

Comparing concise and verbose prompt instruction

Testing out the text-generation-webui API

Get the IP address of windows from inside Linux

Finding the endpoint/API examples

Testing the API request

Comparing results between the API and the GUI

llava v1.5-13b responding in another language, hallucination ?

Using replicate's original llava v1.5-13b model

Bringing up concise vs. verbose prompt again

Setting up replicate API key locally

Setting up python call to replicate

Running iterate replicate code

Download llava-v1.5-7b model

Setting up llama.cpp framework

Adding models to llama.cpp

Showing llama.cpp commit hash

Starting up llama.cpp server

llama.cpp GUI

llama.cpp API code overview

llama.cpp server API documentation

Description:

Explore an in-depth video tutorial on harnessing AI Agents and local large language models to autonomously create a realistic style model for SDXL. Dive into the technical aspects of setting up and utilizing various AI frameworks, including LLaVA, Mistral, and llama.cpp. Learn about installing and configuring Chrome and Chromedriver, working with Selenium WebDriver, and implementing Autogen code. Discover techniques for image fetching, processing, and upscaling using Topaz Gigapixel AI. Follow along as the presenter demonstrates the installation and usage of text-generation-webui, explores API interactions, and compares different prompting strategies. Gain insights into troubleshooting common issues and optimizing model performance. This comprehensive guide covers everything from initial setup to advanced implementation, providing valuable knowledge for AI enthusiasts and developers working with SDXL and large language models.

Autogen and Local LLMs Create Realistic Stable Diffusion Model Autonomously

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#Computer Science #Deep Learning #Stable Diffusion #Artificial Intelligence #Computer Vision #Image Processing #Programming #Software Development #Software Testing #Selenium #Selenium WebDriver #AI Agents #AutoGen #LLaVA #Machine Learning #llama.cpp