A guide for how to use image generating AI to create images you like. Walks you through fundamental concepts such as generative AI, AI models, and prompts. Shows you how to compose a prompt in step-by-step manner.
How to get the most out of your prompts to create AI Arts.pdfChanakaSamarawicrama
Generating AI-generated images is an exciting and creative way to explore the capabilities of artificial intelligence. To get the most out of your prompts and create the best possible AI-generated images, here are some tips to consider:
Choose Clear and Specific Prompts:
The quality of your AI-generated images will be largely determined by the quality of your prompts. To get the best results, you should be as clear and specific as possible with your prompts. This means using detailed descriptions or providing reference images, as well as specifying the style, color, and composition of the image you want to generate.
Use High-Quality Training Data:
The quality of your AI-generated images will also depend on the quality of the training data you provide. Make sure to use high-quality images that are relevant to your prompt and cover a wide range of styles and genres.
Experiment with Different Algorithms:
Different AI algorithms can produce different types of images, so it's worth experimenting with different algorithms to see which ones work best for your specific prompt. Some algorithms may be better suited for certain types of images, while others may produce more realistic or abstract results.
Iterate and Refine:
Generating AI-generated images is an iterative process, so be prepared to experiment and refine your prompts as you go along. If you're not satisfied with the results of your first attempt, try adjusting your prompts or experimenting with different algorithms until you get the results you want.
Be Creative and Open-Minded:
Finally, remember that AI-generated images can be surprising and unpredictable. Don't be afraid to explore new ideas and be open-minded about the possibilities. You may discover new styles and genres that you never would have considered otherwise. Read more
A Talk I gave to Design Students. It is a peak at how Designers function in the Corporate World. How to Survive and Thrive as a Designer.
Video available here:
https://youtu.be/koFNm-NT6wM
How to get the most out of your prompts to create AI Arts.pdfChanakaSamarawicrama
Generating AI-generated images is an exciting and creative way to explore the capabilities of artificial intelligence. To get the most out of your prompts and create the best possible AI-generated images, here are some tips to consider:
Choose Clear and Specific Prompts:
The quality of your AI-generated images will be largely determined by the quality of your prompts. To get the best results, you should be as clear and specific as possible with your prompts. This means using detailed descriptions or providing reference images, as well as specifying the style, color, and composition of the image you want to generate.
Use High-Quality Training Data:
The quality of your AI-generated images will also depend on the quality of the training data you provide. Make sure to use high-quality images that are relevant to your prompt and cover a wide range of styles and genres.
Experiment with Different Algorithms:
Different AI algorithms can produce different types of images, so it's worth experimenting with different algorithms to see which ones work best for your specific prompt. Some algorithms may be better suited for certain types of images, while others may produce more realistic or abstract results.
Iterate and Refine:
Generating AI-generated images is an iterative process, so be prepared to experiment and refine your prompts as you go along. If you're not satisfied with the results of your first attempt, try adjusting your prompts or experimenting with different algorithms until you get the results you want.
Be Creative and Open-Minded:
Finally, remember that AI-generated images can be surprising and unpredictable. Don't be afraid to explore new ideas and be open-minded about the possibilities. You may discover new styles and genres that you never would have considered otherwise. Read more
A Talk I gave to Design Students. It is a peak at how Designers function in the Corporate World. How to Survive and Thrive as a Designer.
Video available here:
https://youtu.be/koFNm-NT6wM
AI experts are teaching computers to create highly convincing fake videos of celebrities - dead or alive from existing publicly available clips and are challenging the authenticity of any video data anywhere in the world for all of the future. This is an introduction to the technology behind it and a step by step instruction of my effort at creating a fake sequence of Mr. Narendra Modi.
Exploring the Deep Dream Generator (an Art-Making Generative AI) Shalin Hai-Jew
The Deep Dream Generator was created by Google engineer Alexander Mordvintsev in 2014. It has a public facing instance at https://deepdreamgenerator.com/, which enables people to use text prompts and image prompts (individually or in combination) to inspire the art-generating generative AI to output images. This work highlights some process-based walk-throughs of the tool, some practical uses, some lightweight art learning, some aspects of the online social community on this platform, and other insights. Some works by the AI prompted by the presenter may be seen here: https://deepdreamgenerator.com/u/sjjalinn.
(This is the first draft of a slideshow that will be used in a conference later in the year.)
AI for Nonprofits What You Need to Know-.pdfTechSoup
In this webinar, nonprofits learned the latest generation of AI by Microsoft, what these tools can do for mission-focused work ,and the need to use them in a thoughtful, responsible manner.
Our guest speakers, Joshua Pesky, and Destiny Bowers from Roundtable Technology shared an understanding of what AI is, the different kinds of AI that exist, use cases for nonprofits, and thoughtful strategies for this emerging tech.
AI experts are teaching computers to create highly convincing fake videos of celebrities - dead or alive from existing publicly available clips and are challenging the authenticity of any video data anywhere in the world for all of the future. This is an introduction to the technology behind it and a step by step instruction of my effort at creating a fake sequence of Mr. Narendra Modi.
Exploring the Deep Dream Generator (an Art-Making Generative AI) Shalin Hai-Jew
The Deep Dream Generator was created by Google engineer Alexander Mordvintsev in 2014. It has a public facing instance at https://deepdreamgenerator.com/, which enables people to use text prompts and image prompts (individually or in combination) to inspire the art-generating generative AI to output images. This work highlights some process-based walk-throughs of the tool, some practical uses, some lightweight art learning, some aspects of the online social community on this platform, and other insights. Some works by the AI prompted by the presenter may be seen here: https://deepdreamgenerator.com/u/sjjalinn.
(This is the first draft of a slideshow that will be used in a conference later in the year.)
AI for Nonprofits What You Need to Know-.pdfTechSoup
In this webinar, nonprofits learned the latest generation of AI by Microsoft, what these tools can do for mission-focused work ,and the need to use them in a thoughtful, responsible manner.
Our guest speakers, Joshua Pesky, and Destiny Bowers from Roundtable Technology shared an understanding of what AI is, the different kinds of AI that exist, use cases for nonprofits, and thoughtful strategies for this emerging tech.
Find n th fibonacci iteratively - illustrated walkthroughYoshi Watanabe
A step-by-step illustration of Find n-th Fibonacci function to help you walk through a series of operations. Illustration is accompanied by actual code with bold line indicating the current operation.
https://github.com/yoshiwatanabe/Algorithms/blob/master/Finding/Fibonacci.cs
Binary search tree exact match - illustrated walkthroughYoshi Watanabe
A step-by-step illustration of Binary Search Tree (Exact Match) to help you walk through a series of operations. Illustration is accompanied by actual code with bold line indicating the current operation.
Binary search: illustrated step-by-step walk throughYoshi Watanabe
A step-by-step illustration of Binary Search to help you walk through a series of operations. Illustration is accompanied by actual code with bold line indicating the current operation.
https://github.com/yoshiwatanabe/Algorithms/blob/master/Finding/BinarySearch.cs
Quicksort: illustrated step-by-step walk throughYoshi Watanabe
A step-by-step illustration of Quicksort to help you walk through a series of operations. Illustration is accompanied by actual code with bold line indicating the current operation.
Merge sort: illustrated step-by-step walk throughYoshi Watanabe
A step-by-step illustration of Merge sort to help you walk through a series of operations. Illustration is accompanied by actual code with bold line indicating the current operation.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
3. What we will cover today
•How to get started
•Let’s learn some new concepts
•How to generate images you want
•How do I write effective prompts?
•Some demos
20. A black cat with green
eyes.
adjective noun action background style
21. A black cat with green
eyes sitting on a red
cushion.
adjective noun action background style
22. A black cat with green
eyes sitting on a red
cushion in a sunny
living room
adjective noun action background style
23. A black cat with green
eyes sitting on a red
cushion in a sunny living
room, with a fireplace
and a Persian rug in the
background.
adjective noun action background style
24. A black cat with green
eyes sitting on a red
cushion in a sunny living
room, with a fireplace
and a Persian rug in the
background, in the style
of Japanese animator
Hayao Miyazaki.
adjective noun action background style
25. A cute black cat with
green eyes, smiling,
sitting on a red cushion
in a sunny living room,
with a fireplace and a
Persian rug in the
background, in the style
of Japanese animator
Hayao Miyazaki.
26. What if you don’t like images
generated by a particular AI
model?
27. Try different AI models!
DreamShaper v7
Stable Diffusion 2.1 Deliberate 1.1
Stable Diffusion 1.5
28. Prompt:
a photorealistic image of a sleek, black cat with green
eyes, crouching on a brick wall under a full moon, its
gaze focused intently on a moth fluttering nearby
29. What if you don’t like some
feature in the generated image?
Use AI image generating services
Use apps on smart phones
Chat GPT
Stable diffusion, DALL-E 2
Music?
What is NOT generative AI?Email (spam filter)
Siri (speech recognition)
Tesla (Autonomous vehicles)
Fraud detection
Netflix (Recommendation
Customer support (bots)
Trained
Accepts orders
Generates images
Trained
Accepts orders
Generates images
But think of orders/instruction to an artist.
It is an iterative process
It is a trial-and-error process
It is an iterative process
It is a trial-and-error process
To obtain more specific results, specify details
Common format: {adjustive} {noun} {verb} {style}
the whole prepositional phrase "with green eyes" acts as an adjective phrase
Use AI image generating services
Use apps on smart phones
Trained differently
Fine-tuned for certain results
React differently to the same prompts
Use AI image generating services
Use apps on smart phones
Use AI image generating services
Use apps on smart phones