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QuantaVision: From Pixels to Possibilities

AI Image & Video Generation: From Theory to Practice

12 Weeks (3 Months)
Hybrid (Live + Recorded)
Quanta AI Labs Certified Visual AI Specialist

Course Overview

Master AI visual generation from theory to practice with our comprehensive program. Learn the architecture behind GANs, VAEs, and Diffusion models, then apply this knowledge using both closed-source platforms (DALL-E, Midjourney) and open-source tools (ComfyUI focus) to build professional creative workflows and commercial applications.

30 max
Students
4.9/5
Rating
Visual AI
Focus
ComfyUI
Mastery

🎨 Month 1: Foundations & ComfyUI MasteryWeeks 1-4

Building Creative AI Foundations

Week 1: AI Visual Generation Theory & Architecture

Week 1
Learning Goal:

Understand the theoretical foundations of AI image generation

Topics Covered:

  • Evolution of AI in visual content creation
  • Understanding neural networks: GANs, VAEs, Diffusion models
  • Key breakthroughs and major technological milestones
  • Current landscape: major players and technologies
  • Architecture deep dive: How AI actually generates images
Deliverable:

AI visual generation timeline analysis and architecture report

Resources: 8 modulesLab: Hands-on exploration of different AI model architectures

Week 2: ComfyUI Deep Dive & Node Mastery

Week 2
Learning Goal:

Master ComfyUI setup and node-based workflow system

Topics Covered:

  • ComfyUI vs other interfaces (A1111, InvokeAI) - why ComfyUI wins
  • Installation: Standalone, Portable, Docker methods
  • Node-based workflow philosophy and advantages
  • Essential nodes: CheckpointLoader, CLIPTextEncode, KSampler
  • Building your first Text-to-Image pipeline
Deliverable:

ComfyUI environment setup + 5 basic workflows

Resources: 10 modulesLab: ComfyUI installation and essential node workshop

Week 3: Platform Comparison: Closed vs Open Source

Week 3
Learning Goal:

Master both commercial platforms and open-source solutions

Topics Covered:

  • Closed Source: DALL-E 2/3, Midjourney, Adobe Firefly
  • Open Source: Stable Diffusion ecosystem, ComfyUI workflows
  • API integration and commercial usage patterns
  • Setting up local vs cloud environments
  • Cost-benefit analysis and use case selection
Deliverable:

Portfolio Builder: 20 diverse AI images using different platforms

Resources: 9 modulesProject: Multi-platform comparison portfolio

Week 4: Advanced Prompt Engineering & Style Control

Week 4
Learning Goal:

Master prompt engineering and achieve consistent artistic styles

Topics Covered:

  • Prompt engineering mastery across platforms
  • CLIP conditioning and prompt weighting strategies
  • Style transfer and artistic consistency techniques
  • Negative prompting for quality enhancement
  • Advanced sampling methods and parameter optimization
Deliverable:

Advanced prompting toolkit + consistent style series

Resources: 8 modulesProject: Brand Identity: Complete visual identity using AI tools

🎬 Month 2: Advanced Image & Video GenerationWeeks 5-8

Mastering Professional Techniques

Week 5: Advanced Image Techniques & Custom Training

Week 5
Learning Goal:

Master advanced control techniques and model customization

Topics Covered:

  • ControlNet, LoRA, and custom model training workflows
  • Inpainting, outpainting, and advanced image editing
  • Batch processing and automation techniques
  • ComfyUI custom nodes and advanced integrations
  • Fine-tuning models for specific artistic styles
Deliverable:

Custom model training + advanced editing workflow library

Resources: 11 modulesLab: ControlNet mastery + LoRA training workshop

Week 6: Video Generation Technologies - Closed Source

Week 6
Learning Goal:

Master commercial video AI platforms and workflows

Topics Covered:

  • Runway ML: text-to-video and video editing capabilities
  • Pika Labs: advanced motion and camera controls
  • Synthesia: AI avatar and presentation generation
  • Commercial video AI platform comparison and selection
  • API integration for automated video workflows
Deliverable:

Commercial video platform mastery portfolio

Resources: 8 modulesProject: Professional video series using commercial tools

Week 7: Video Generation Technologies - Open Source

Week 7
Learning Goal:

Master open-source video generation and animation

Topics Covered:

  • AnimateDiff, Zeroscope, ModelScope integration
  • Video-to-video translation and style transfer
  • Temporal consistency challenges and solutions
  • ComfyUI video workflows and custom nodes
  • Frame interpolation and motion coherence techniques
Deliverable:

Open-source video generation toolkit

Resources: 9 modulesProject: Short Film: 2-minute AI-generated video with narrative

Week 8: Professional Video Workflows & Quality Control

Week 8
Learning Goal:

Build production-ready video generation pipelines

Topics Covered:

  • Video production pipeline design and optimization
  • Quality control and consistency across projects
  • Combining AI video with traditional editing tools
  • Audio-visual synchronization and post-processing
  • Client delivery standards and technical requirements
Deliverable:

Complete video production pipeline + quality standards

Resources: 7 modulesProject: Professional client-ready video workflow system

🚀 Month 3: Production & Professional IntegrationWeeks 9-12

Building Professional Visual AI Studios

Week 9: Professional Workflows & Production Pipeline

Week 9
Learning Goal:

Design enterprise-grade production systems

Topics Covered:

  • Production pipeline design and quality control
  • Maintaining consistency across large-scale projects
  • Combining AI tools with traditional creative workflows
  • Client work processes and commercial considerations
  • Team collaboration and project management strategies
Deliverable:

Enterprise production pipeline design

Resources: 8 modulesProject: Custom Model: Train specialized model for specific use case

Week 10: Ethics, Copyright & Commercial Applications

Week 10
Learning Goal:

Navigate legal and ethical considerations for commercial use

Topics Covered:

  • Ethical guidelines for AI-generated content
  • Copyright issues and intellectual property considerations
  • Commercial licensing and usage rights
  • Client disclosure and transparency requirements
  • Building sustainable AI-powered creative businesses
Deliverable:

Commercial AI ethics and legal compliance framework

Resources: 6 modulesLab: Legal and ethical case study analysis

Week 11: Advanced Applications & Emerging Technologies

Week 11
Learning Goal:

Explore cutting-edge techniques and future trends

Topics Covered:

  • 3D generation, NeRFs, and spatial AI technologies
  • Real-time generation techniques and live workflows
  • Mobile and edge deployment considerations
  • Integration with AR/VR and immersive media
  • Emerging research directions and future market opportunities
Deliverable:

Future technology integration roadmap

Resources: 9 modulesProject: Advanced technology proof-of-concept

Week 12: Capstone Project & Portfolio Presentation

Week 12
Learning Goal:

Complete professional portfolio and business presentation

Topics Covered:

  • Final capstone project: Complete commercial-grade deliverable
  • Professional portfolio organization and presentation
  • Business plan development for AI creative services
  • Industry networking and career development strategies
  • Course completion and certification presentation
Deliverable:

Complete Commercial Project with professional deliverables

Resources: 5 modulesFinal portfolio showcase and business pitch

🎯 Specialized Project Tracks

Workflow Mastery

Build 10 different base workflows from scratch

Technical Foundation

Style Consistency

Create 50 images in consistent style using custom workflows

Creative Portfolio

Animation Project

Produce animated sequence using AnimateDiff

Video Production

Custom Training

Train and implement custom LoRA for specific use case

Technical Advanced

Production Pipeline

Build complete client-delivery workflow system

Professional Application

🛠️ Technology Stack & Custom Nodes

Core Platform:

ComfyUI, Custom Nodes, Workflow Management

Models & Training:

SDXL, SD1.5, LoRA, ControlNet, AnimateDiff

Enhancement:

Real-ESRGAN, VAEs, Upscaling Models

Integration:

Photoshop, Video Editors, API, Cloud Platforms

Essential Custom Nodes Covered:

ComfyUI ManagerWAS Node SuiteImpact PackAnimateDiff EvolvedControlNet Auxiliary PreprocessorsRGTHREEEfficiency NodesUltimate SD Upscale

🎓 Assessment & Certification Structure

Weekly Practical Assignments

Hands-on projects and technical implementations

40%

Midterm Technical Project

Platform comparison + Style consistency portfolio

20%

Final Capstone Project

Complete commercial project with deliverables

30%

Peer Reviews & Community

Collaboration and knowledge sharing activities

10%

Multiple Certification Tracks Available:

🎨 Creator Track

Focus on artistic and commercial applications

⚙️ Technical Track

Emphasis on model training and development

💼 Business Track

Commercial implementation and strategy

💼 Career Outcomes & Applications

Target Roles

  • AI Visual Artist ($60k-$120k)
  • Creative AI Specialist ($70k-$140k)
  • Video Production AI Lead ($80k-$160k)

Applications

  • Marketing & advertising visuals
  • Entertainment & media production
  • E-commerce & product visualization
₹35,000₹25,000

*Price excluding GST

Final Price: ₹29,500 (incl. 18% GST)

Save ₹10,000 - Limited Time Offer!

Duration:12 Weeks (3 Months)
Format:Hybrid (Live + Recorded)
Level:Beginner to Advanced
Students:30 max

What's Included:

  • Theory: GANs, VAEs, Diffusion models architecture
  • Both closed-source (DALL-E, Midjourney) & open-source tools
  • ComfyUI mastery with professional workflows
  • 5 Portfolio Projects + 1 Commercial client project
  • Video generation: AnimateDiff, Runway ML, Pika Labs
  • Multiple certification tracks (Creator/Technical/Business)

💳 Secure payment via Razorpay

🎨 Portfolio & Certificate upon completion

Assessment Structure:

Continuous Assessment:40%
Portfolio Projects:30%
Final Capstone:30%

Need Help?

📧 contact@quantaailabs.com

📞 +91-8005775075