❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [August 13th, 2023]
Skills and Knowledge Acquired:
This course will provide participants with the skills and knowledge to understand the ins-and-outs of Stable Diffusion technology, and to be able to tie back the controls and parameters of how the AImodel works under the hood. Participants will learn about the main applications of Stable Diffusion, including generating art, prompt engineering, negative prompts, iterative prompt engineering with experimentation, parameter tuning - cfg, steps, seed, dimensions, sampler, image2image applications including - variations, doodle to art, in-painting (addition, removal, replacement), out-painting, instruct pix2pix, face restoration and upscaling. Through 10+ lab guides, participants will gain the confidence to start producing production quality artwork and image assets by using the tips and techniques introduced in this course. Additionally, the course will provide pointers and guidance on exploring the technology deeper and gaining an even deeper understanding.
Contribution to Professional Growth:
This course provides an in-depth, hands-on introduction to Stable Diffusion technology, allowing both technical and non-technical audiences to gain a comprehensive understanding of the technology. Through 10+ lab guides and the generation of 100+ art works, participants will gain the confidence to produce production quality artwork and image assets. Additionally, the course provides guidance on exploring the technology further, allowing for professional growth in the field.
Suitability for Further Education:
This Introduction to Stable Diffusion Course appears to be suitable for preparing further education. It is expertly crafted and targeted at both technical and non-technical audiences, and provides an in-depth, hands-on approach to the topic. The course covers main applications of Stable Diffusion, including generating art, prompt engineering, negative prompts, iterative prompt engineering with experimentation, parameter tuning, and image2image applications. Additionally, the course provides 10+ lab guides, generating 100+ art works, and guidance on exploring the technology deeper. All of these elements make this course a great option for preparing further education.
Course Syllabus
Introduction
Prompt Engineering
Parameter Tuning
Image2image
Conclusion