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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 Mastery

Weeks 1-4 • Building Creative AI Foundations

Week 1

AI Visual Generation Theory & Architecture

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
  • Architecture deep dive: How AI actually generates images

Deliverable: AI visual generation timeline analysis and architecture report

Resources: 8 modules

Lab: Hands-on exploration of different AI model architectures

Week 2

ComfyUI Deep Dive & Node Mastery

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

Deliverable: ComfyUI environment setup + 5 basic workflows

Resources: 10 modules

Lab: ComfyUI installation and essential node workshop

Week 3

Platform Comparison: Closed vs Open Source

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
  • Cost-benefit analysis and use case selection

Deliverable: Portfolio Builder: 20 diverse AI images using different platforms

Resources: 9 modules

Lab: Multi-platform comparison portfolio

Week 4

Advanced Prompt Engineering & Style Control

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
  • Advanced sampling methods and parameter optimization

Deliverable: Advanced prompting toolkit + consistent style series

Resources: 8 modules

Lab: Brand Identity: Complete visual identity using AI tools

Month 2: Advanced Image & Video Generation

Weeks 5-8 • Mastering Professional Techniques

Week 5

Advanced Image Techniques & Custom Training

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
  • Fine-tuning models for specific artistic styles

Deliverable: Custom model training + advanced editing workflow library

Resources: 11 modules

Lab: ControlNet mastery + LoRA training workshop

Week 6

Video Generation Technologies - Closed Source

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
  • API integration for automated video workflows

Deliverable: Commercial video platform mastery portfolio

Resources: 8 modules

Lab: Professional video series using commercial tools

Week 7

Video Generation Technologies - Open Source

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
  • Frame interpolation and motion coherence techniques

Deliverable: Open-source video generation toolkit

Resources: 9 modules

Lab: Short Film: 2-minute AI-generated video with narrative

Week 8

Professional Video Workflows & Quality Control

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
  • Client delivery standards and technical requirements

Deliverable: Complete video production pipeline + quality standards

Resources: 7 modules

Lab: Professional client-ready video workflow system

Month 3: Production & Professional Integration

Weeks 9-12 • Building Professional Visual AI Studios

Week 9

Professional Workflows & Production Pipeline

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
  • Team collaboration and project management strategies

Deliverable: Enterprise production pipeline design

Resources: 8 modules

Lab: Custom Model: Train specialized model for specific use case

Week 10

Ethics, Copyright & Commercial Applications

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
  • Building sustainable AI-powered creative businesses

Deliverable: Commercial AI ethics and legal compliance framework

Resources: 6 modules

Lab: Legal and ethical case study analysis

Week 11

Advanced Applications & Emerging Technologies

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
  • Integration with AR/VR and immersive media
  • Emerging research directions and future market opportunities

Deliverable: Future technology integration roadmap

Resources: 9 modules

Lab: Advanced technology proof-of-concept

Week 12

Capstone Project & Portfolio Presentation

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

Deliverable: Complete Commercial Project with professional deliverables

Resources: 5 modules

Lab: Final 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

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
35,00025,000

*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%
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