Print to Shoot: The AI Design Journey!
From AI-Powered Textile Prints to Virtual Fashion Campaigns.
Course Overview
Course Description:
This cutting-edge, 8-week hybrid course bridges the gap between traditional textile artistry and the future of digital fashion. "Print to Shoot" guides you through the complete lifecycle of a fashion product—starting from a simple text prompt and culminating in a photorealistic campaign. You won’t just generate images; you will learn to professionally design seamless patterns, engineer them onto garment templates, and virtually prototype your collections on realistic models without ever sewing a stitch.
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Purpose:
The primary goal of this course is to revolutionize how textile designers prototype and visualize their work. By synergizing Generative AI tools (Runway ML, Firefly, Gemini) with industry-standard software like Adobe Photoshop, students will master "Engineered Designs"—mapping complex prints onto specific garment silhouettes to validate placement, scale, and symmetry before production begins.
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Key Objectives:
By the end of this course, you will be able to:
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- Master Prompt Engineering: Control AI tools to generate precise print aesthetics, from intricate floral repeats to bold streetwear graphics.
- Create Digital Textiles: Convert raw AI motifs into high-resolution, seamless, and production-ready repeat patterns using Adobe Photoshop.
- Engineer Garment Layouts: Skillfully map prints onto digital garment templates, mastering layering and texture blending for precise engineered designs.
- Virtual Prototyping: Visualize your concepts by rendering them onto realistic AI models to analyze fabric drape and visual impact.
- Produce Fashion Campaigns: Direct professional-grade virtual photoshoots and short motion videos to showcase your collection in a cinematic portfolio.
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Student Outcome:
You will graduate with a comprehensive digital portfolio featuring a cohesive mini-collection of prints, technical engineered layouts, and a fully realized AI fashion campaign—proving your ability to blend creative artistry with technical innovation.
Course Outline
Class 1 – Understanding Prints in Fashion
Objective: Introduce students to print types and prompt writing.
Content: Print categories, design philosophy, print vs. pattern, principles of prompt engineering.
Activity: Analyze ten prints and write descriptive prompts.
Outcome: Conceptual clarity and the ability to ideate using prompts.
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Class 2 – Basics of Pattern, Repeat, and Prompt Engineering
Objective: Understand layout, symmetry, repetition, and prompt logic.
Content: Repeat types, proportion, rhythm, and essential prompt keywords.
Activity: Create a manual motif repeat and write prompt variations.
Outcome: Strong foundation in repeat design and prompt-based thinking.
Class 3 – Introduction to AI in Fashion Design
Objective: Explore AI as a creative partner.
Content: Overview of Runway ML, Firefly, Gemini, and Ideogram.
Activity: Prompt-writing exercise and generating the first AI prints.
Outcome: Students produce their first set of AI-generated prints.
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Class 4 – Evaluating AI Outputs
Objective: Curate and refine AI-generated designs.
Content: Resolution, consistency, and style coherence.
Activity: Select and refine three prints.
Outcome: A mini-collection of three curated prints.
Class 5 – Theme-Based Print Generation
Objective: Create prints tailored for specific garment types.
Content: Formal, streetwear, and ethnic styles.
Activity: Produce three garment-style prints.
Outcome: A garment-specific AI print library.
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Class 6 – Experimenting with Multiple AI Tools
Objective: Compare tools to understand creative diversity.
Content: Firefly, Runway ML, and Gemini compared.
Activity: Use the same prompt across tools and analyze results.
Outcome: Improved awareness of tool strengths and selection strategy.
Class 7 – Photoshop Interface & Tools
Objective: Build familiarity with Photoshop basics.
Content: Layers, masking, adjustments, and selections.
Activity: Edit an AI print using Photoshop tools.
Outcome: Confident beginner-level editing skills.
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Class 8 – Creating Digital Repeats
Objective: Convert motifs into seamless digital patterns.
Content: Offset filter, pattern preview, scaling techniques.
Activity: Create repeat patterns from motifs.
Outcome: First seamless digital repeat completed.
Class 9 – Engineered Print Layouts
Objective: Apply prints to garment templates.
Content: Placement, proportion, and symmetry.
Activity: Map prints onto digital pattern sheets.
Outcome: Ready-to-use engineered layout concepts.
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Class 10 – Combining Prints & Textures
Objective: Build visual complexity through layering.
Content: Layering methods, blending modes, texture overlays.
Activity: Combine two AI prints to create a hybrid design.
Outcome: An experimental composite print.
Class 11 – Introduction to AI Fashion Shoots
Objective: Understand the elements of fashion shoot composition.
Content: Framing, posing, and lighting basics.
Activity: Study AI fashion shoot samples and complete a shot-planning worksheet.
Outcome: Prepared visual plan for future shoots.
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Class 12 – Generating Fashion Shoots via AI
Objective: Visualize prints on models using AI tools.
Content: Prompting for realism and garment fit.
Activity: Generate two AI fashion shots.
Outcome: First set of photorealistic AI fashion visuals.
Class 13 – Thematic Storytelling in Shoots
Objective: Connect design narratives with visual storytelling.
Content: Scene setting, emotion, cultural context.
Activity: Create a storyboard for a fashion campaign.
Outcome: A thematic concept for a cohesive photo series.
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Class 14 – Creating Motion / Short Videos
Objective: Generate motion visuals from still images.
Content: Using Runway ML or Sora for basic animations.
Activity: Produce a 5–10 second fashion visual.
Outcome: First animated fashion shot.
Class 15 – Portfolio Structure & Branding
Objective: Present creative work professionally.
Content: Layout principles, typography, branding components.
Activity: Assemble print and shoot visuals into portfolio format.
Outcome: Draft portfolio pages created.
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Class 16 – Final Presentation & Exhibition Prep
Objective: Prepare for the final showcase.
Content: Mock presentations and critique sessions.
Activity: Display prints, 3D visuals, and reels.
Outcome: Evaluated final presentation ready for exhibition.
Portfolio
Related Videos / Demo Class
Trainer Profile: Dr Umer Hameed
Dr. Umer Hameed is a design educator and researcher with over 20 years of experience and a Doctor of Education (PhD) from the University of Liverpool (UK). Currently an Assistant Professor at National Textile University and Adjunct Faculty at NCA and Superior University, he specializes in digital pedagogy, research methodology, and AI integration.
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