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Technologies / Artificial Intelligence

Introduction to Stable Diffusion - generating images from text

The training focuses on practical use of the Stable Diffusion model for generating images based on text descriptions. During workshops, participants will learn the principles of how the model works, learn to formulate effective prompts, and adjust generation parameters. Sessions are conducted in the form of interactive workshops where theory is immediately verified in practice. The program covers both basic applications and advanced image manipulation techniques.

Required participant preparation

  • Basic knowledge of digital graphics concepts

  • Understanding of basic AI and machine learning concepts

  • Ability to work in text-based environments

  • English proficiency at a level allowing prompt creation

This training is part of the path:

Benefits

  • Ability to independently generate high-quality images
  • Knowledge of effective prompt formulation techniques
  • Ability to adjust parameters to specific needs
  • Practical knowledge of advanced image modification techniques
  • Ability to integrate Stable Diffusion with production processes
  • Knowledge of best practices in image generation
  • Certificate confirming acquired skills
  • Training materials for further learning

Who is this training for?

Designers and graphic artists wanting to expand their toolkit with AI tools
UI/UX specialists looking for effective prototyping methods
Marketers responsible for creating visual content
Digital artists interested in new creative techniques
Product Managers wanting to understand AI capabilities in production
Developers planning to integrate image generation into their applications
Researchers and scientists exploring AI applications in data visualization
Entrepreneurs seeking innovative solutions in visual communication

Training program

01

Architecture and principles of Stable Diffusion

  • The role of diffusion models in image generation
  • Setting up the work environment
02

First image generation

  • Effective prompt formulation
03

Prompt structure and syntax

  • Keywords and their impact on generation
  • Techniques for precise vision description
  • Working with generation parameters
  • Advanced generation techniques
04

Inpainting and outpainting

  • Style transfer and artistic control
  • Generating variants and iterations
  • Working with masks and selective modifications
05

Optimization and practical applications

  • Parameter tuning for different applications
  • Batch processing and automation
  • Integration with production process
  • Best practices and common issues

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

The Introduction to Stable Diffusion - generating images from text training does not require specialized prior knowledge. Basic IT knowledge is sufficient.

What is the format and duration of this training?

The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Designers and graphic artists wanting to expand their toolkit with AI tools; UI/UX specialists looking for effective prototyping methods; Marketers responsible for creating visual content.

Patrycja Petkowska
Patrycja Petkowska Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

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