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In this tutorial, we delve into the capabilities of Stable Diffusion, a text-to-image model that allows users to generate images from textual prompts. CHAPTERS 00:00 Introduction and theory 00:29 Features 01:36 Interface 02:22 Checkpoints/Models 03:12 Sampling Method & Steps 04:00 Width & Height 04:23 Batch Count & Size 04:46 Seed 05:11 Text to Image Generation DETAILS The video covers an overview of Stable Diffusion, highlighting its key features, such as being free, open-source, and capable of running locally on a PC for enhanced privacy and creative control. We walk through the software's interface, explain how to select and use different pre-trained models, and discuss various adjustable parameters such as sampling methods, image dimensions, and seeds. The tutorial provides practical demonstrations of generating images with different settings and models, emphasizing how to tailor the tool for specific types of imagery like architectural visualizations. Additionally, tips on how to handle common issues in image generation, such as unwanted elements in the visuals, are also covered. This video is an essential guide for anyone looking to understand and utilize Stable Diffusion for creating custom images. ____________________ ABOUT BIMCO Successful BIM requires a multifaceted approach focusing on industry leading standards, an intelligent object library, a prompt support network and ongoing quality training. 👋Say hi!: https://www.bimco.com.au SOCIALS ➕ YouTube Channel: / @bimco-bimbi ➕ Instagram: / bimcoau ➕ Facebook: / bimcoau ➕ LinkedIn: / bimcoau TAKE ACTION 😊 Support our family owned and run business Subscribe: / @bimco-bimbi bimco is providing this training free to the world as we believe in the power of knowledge to create impact. Lifting the understanding of BIM leads to better models, better buildings and less waste. ♻️