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Spatial Effects with Midjourney 2.0

This fast-paced workshop will focus on generating images of provocative spatial volumes (interior or exterior), along with effects and atmospherics utilizing surface, lighting, textures, materials, shape, etc.

Duration:
2 Sessions (8 Hours)
Difficulty:
Beginner
Language:
English
Certificate:
Yes
Registration:
€125.00
Members:
106.25 EUR (37.50%) discount
Recordings:
Available Indefinitely

Text-to-image diffusion models are an accessible way for artists, architects, and designers to experiment with Artificial Intelligence. MidJourney is one such platform that engages our imaginations and lets us explore and test design ideas in a fraction of the time it would traditionally take to draw, model, or render. Joshua Vermillion will lead this MidJourney workshop with an emphasis on generating surface, material, and lighting effects and atmospherics. Along the way, we will develop and craft prompts (the instructions we give to the AI model) as a way to sharpen your ideas and augment your design process.

Prompt Crafting: Develop skills in creating effective prompts to guide MidJourney, enhancing your ability to generate desired design outcomes.
Exploration of Spatial Effects: Experiment with generating surprising and innovative spatial volumes, focusing on surface, lighting, textures, and materials.
Image Integration Techniques: Learn to use image prompts and blending operations to integrate traditional design sketches and models into the generative process.
Workflow Comparisons: Compare outputs from different MidJourney models (v3, v4, v5) to understand how settings affect creativity and coherence in results.
Iterative Design Processes: Practice workflows for iteratively refining design ideas and imagery, incorporating AI into your creative process for enhanced exploration.

Part of the value of using a diffusion model like MidJourney is getting unexpected interpretations of your ideas—things you might have never thought of that extend and challenge your imagination. The first session of this workshop will emphasize generating these non-determinate and surprising outcomes that MidJourney generates so well–the happy accidents, the counter-intuitive, and the uncanny—all focused on spatial effects.

The second session will use image prompts and MidJourney’s new blend operation to gain more control over the generated outcomes as well as to integrate traditional design sketches, models, and photos into this generative AI process. Both sessions will use a combination of demonstrations followed by hands-on individual design challenges, culminating in one last group-challenge/project.

This fast-paced workshop will focus on generating images of provocative spatial volumes (interior or exterior), along with effects and atmospherics utilizing surface, lighting, textures, materials, shape, etc. We will iteratively edit, generate, re-roll, and blend prompts, as well as the resulting images.

We will also examine and compare the differences in the outputs from various MidJourney models and workflows (for instance, MJ’s v3, v4, and v5 models, the remastering and blend options, and adjusting aspect ratios) all of which affect the coherence and “creativity” of the results.

By the end of this workshop, participants will have demonstrated and practiced several workflows in MidJourney for developing their design ideas as well as generating visually compelling design imagery.

Along the way we will learn about many of the settings in MidJourney that can help us iteratively work through an idea while utilizing expressive design language and prompt-craft. Ultimately, everyone will come away with several different ways to weave AI into their own design process in order to augment their creative endeavors.

Content

Total sessions: 2 Sessions
PAACADEMY will provide a certificate of attendance.
No previous knowledge of any software is required. You will learn everything in the workshop.

Meet Your Instructors

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Biography
Joshua Vermillion is a tenured associate professor at the School of Architecture at UNLV. Forging a multi-year career in the exploration, development, and execution of “Digital Craft,” his efforts in research, pedagogy and practice belong to three primary categories: digital information as medium (computational, parametric, and algorithmic design); digital information as material (digital fabrication tools and techniques); and digital information as method (situated technologies, responsive systems, and robotics). Joshua has published and presented his peer-reviewed research and design work worldwide while continuing to experiment with novel design technologies such as AI diffusion models like MidJourney and Stable Diffusion.

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