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  5. AI Image Generation for Designers

Upon purchasing this course, you will gain access to all of its lessons.

Purchase Course for $150
AI Image Generation for Designers
32 Hours
2025/06/28
664

AI Image Generation for Designers


Start Date:
 [Insert Start Date]
Format: Online
Languages: English
Price: 150$
Phone number: +2349111317413
Whatsapp: +989051559498
Contact: info@hellotechnic.com
Contact: coetvet.nbte@gmail.com
Code: 216643030012501

Duration: 8 Weeks (32 Hours Total)

Format: 4 Hours per Week (2 Sessions × 2 Hours)

Target Audience: Mid-Level Designers (ISCO-08: 2166)

Pre-registration link: https://rahjou.porsline.ir/s/AI-Image

 

Course Overview

This professional course teaches AI-based image generation using Stable Diffusion models, structured around six core modules aligned with industry standards for Graphic and Multimedia Designers.

 

Required Tools

- ComfyUI and Automatic1111 WebUI

- Latest Stable Diffusion models (3.5, SDXL, etc.)

- Image editing software

- Project documentation tools

 

Prerequisites

- Basic design principles

- Fundamental image editing skills

- Basic command line familiarity

- Understanding of image formats

 

Technical Requirements

- NVIDIA GPU (8GB+ VRAM)

- 16GB+ RAM

- Modern multi-core processor

- 50GB+ storage space

 

Software Requirements

- ComfyUI

- Automatic1111 WebUI

- Python 3.10+

- Image editing software

 

Target Audience

- Mid-level designers

- Professional graphic artists

- Digital content creators

- Visual artists

 

Learning Objectives

By the end of this course, students will be able to:

- Master project requirement analysis for AI image generation

- Configure and optimize AI generation tools

- Create and refine AI-generated visuals

- Implement quality control measures

- Document and share best practices

 

Weekly Curriculum

Weeks 1-2: Module 1 - Project Requirements Definition

 Session 1: Understanding Client Needs

- Introduction to AI image generation

- Client requirement analysis

- Visual goal identification

- Project specification documentation

 Session 2: Project Planning

- Output style definition

- Technical requirement analysis

- Project timeline planning

- Stakeholder communication

 Session 3: Documentation Methods

- Requirement documentation

- Visual reference collection

- Style guide creation

- Project brief development

Session 4: Client Alignment

- Stakeholder presentation

- Feedback incorporation

- Requirement refinement

- Project approval process

Weeks 2-3: Module 2 - AI Tool Selection and Configuration

Session 1: Tool Introduction

- ComfyUI basics

- Automatic1111 interface

- Model comparison

- Basic setup

Session 2: Configuration Basics

- Parameter understanding

- Settings optimization

- Visual style alignment

- Quality control setup

Session 3: Advanced Settings

- Custom workflows

- Parameter fine-tuning

- Style optimization

- Performance testing

Session 4: Tool Mastery

- Workflow efficiency

- Setting templates

- Problem-solving

- Quality assurance

Weeks 3-4: Module 3 - Initial Visual Output Generation

Session 1: Prompt Engineering

- Basic prompt writing

- Style description

- Quality control words

- Negative prompts

Session 2: Generation Process

- Initial output creation

- Result assessment

- Adjustment techniques

- Iteration methods

Session 3: Style Development

- Style consistency

- Brand alignment

- Quality improvement

- Output refinement

Session 4: Output Optimization

- Result analysis

- Style adjustment

- Quality enhancement

- Client alignment

Weeks 5-6: Module 4 - AI-Generated Image Enhancement

Session 1: Post-Processing Basics

- Enhancement techniques

- Color correction

- Texture refinement

- Composition adjustment

Session 2: Advanced Enhancement

- Detail improvement

- Style consistency

- Brand alignment

- Quality optimization

Session 3: Professional Finishing

- Final touches

- Brand guidelines

- Quality standards

- Delivery preparation

Session 4: Enhancement Mastery

- Advanced techniques

- Problem-solving

- Style perfection

- Quality assurance

Week 7: Module 5 - Quality Control and Validation

Session 1: Quality Standards

- Assessment criteria

- Quality metrics

- Validation process

- Standards compliance

Session 2: Validation Process

- Quality review

- Ethical considerations

- Standard verification

- Stakeholder approval

Week 8: Module 6 - Documentation and Knowledge Sharing

Session 1: Documentation

- Process documentation

- Settings recording

- Workflow templates

- Best practices

 Session 2: Knowledge Transfer

- Experience sharing

- Team collaboration

- Resource creation

- Future development

 

Prove Your Skills with a Certification

This course is your gateway to becoming a certified AI image generator expert. Whether you’re looking to start a new career or grow your business, this certification will set you apart.

Certificate.jpg

How to enroll in this course?

Fill the pre-registration link bellow. Our team will contact you as soon as possible.

https://rahjou.porsline.ir/s/AI-Image

 

Enroll now and take the first step toward a brighter future!

  • Course introduction
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Email: info@hellotechnic.com

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