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もしあなたがSynthesia(シンセシア)を活用した生成AIに興味があり、AIアバターを使って画像から動画を作成してみたい!とお考えであれば、是非このレクチャーをご覧ください。

話題のAI画像生成ツール「Synthesia(シンセシア)」とは何か?の基礎部分から、どのように活用するのかをステップバイステップで公開しています。


・Synthesia(シンセシア)の全体像を理解したい方
・AI動画を生成したい方
・AIを使ったアバター動画を作りたい方
・多言語のアバター動画を作りたい方


そんな超初心者のあなたに、Synthesia(シンセシア)を使って、AIで動画生成する方法をお伝えします。

このレクチャーを見ることで、

・Synthesia(シンセシア)の全体像を理解できます
・Synthesia(シンセシア)の活用方法を学べます
・AIで生成した画像にしゃべらせることができます
・Synthesia(シンセシア)でAIを活用した動画編集や動画活用の幅が広がります

是非、この講座を受講してSynthesia(シンセシア)を始めてみましょう!


はじめに:

・イントロダクション

・Synthesiaでできること


デモ作業:

・爆速でAIアバター動画を作成する

・作成した動画:日本酒を英語で世界に紹介する


Synthesia(シンセシア)とは:

・Synthesiaとは

・SynthesiaのサンプルAIビデオの作成

・Synthesiaの料金プラン


Synthesia(シンセシア)の使い方:

・Synthesiaのアカウント作成

・SynthesiaのHome画面の説明

・ビデオ編集画面の説明

・AIアバタービデオを作成する種類

・ゼロからビデオを作成する(Blank video)

・AIでビデオを作成する(Generate video with AI)

・パワーポイントからビデオを生成する(Import PowerPoint)

・テンプレートからビデオを生成する(Use template)

・SynthesiaのVideo画面の説明

・SynthesiaのTrash画面の説明

・SynthesiaのLibrary画面の説明

・SynthesiaのAvatars画面の説明

・Synthesiaの設定画面の説明

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もしあなたがSynthesia(シンセシア)を活用した生成AIに興味があり、AIアバターを使って画像から動画を作成してみたい!とお考えであれば、是非このレクチャーをご覧ください。

話題のAI画像生成ツール「Synthesia(シンセシア)」とは何か?の基礎部分から、どのように活用するのかをステップバイステップで公開しています。


・Synthesia(シンセシア)の全体像を理解したい方
・AI動画を生成したい方
・AIを使ったアバター動画を作りたい方
・多言語のアバター動画を作りたい方


そんな超初心者のあなたに、Synthesia(シンセシア)を使って、AIで動画生成する方法をお伝えします。

このレクチャーを見ることで、

・Synthesia(シンセシア)の全体像を理解できます
・Synthesia(シンセシア)の活用方法を学べます
・AIで生成した画像にしゃべらせることができます
・Synthesia(シンセシア)でAIを活用した動画編集や動画活用の幅が広がります

是非、この講座を受講してSynthesia(シンセシア)を始めてみましょう!


はじめに:

・イントロダクション

・Synthesiaでできること


デモ作業:

・爆速でAIアバター動画を作成する

・作成した動画:日本酒を英語で世界に紹介する


Synthesia(シンセシア)とは:

・Synthesiaとは

・SynthesiaのサンプルAIビデオの作成

・Synthesiaの料金プラン


Synthesia(シンセシア)の使い方:

・Synthesiaのアカウント作成

・SynthesiaのHome画面の説明

・ビデオ編集画面の説明

・AIアバタービデオを作成する種類

・ゼロからビデオを作成する(Blank video)

・AIでビデオを作成する(Generate video with AI)

・パワーポイントからビデオを生成する(Import PowerPoint)

・テンプレートからビデオを生成する(Use template)

・SynthesiaのVideo画面の説明

・SynthesiaのTrash画面の説明

・SynthesiaのLibrary画面の説明

・SynthesiaのAvatars画面の説明

・Synthesiaの設定画面の説明

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Adobe Photoshop 25.0(2024)以上から、実装された「生成AI(ジェネレーティブAI)」機能に特化したフォトレタッチ講座です。

※ Adobe Photoshop 25.0以上必須

初心者がいきなり「生成AI」を活用した「実務用フォトレタッチ」を最短最速でマスターできます。


内容は『超初心者用』なので「はじめてPhotoshopに触る方」大歓迎です。

実務経験20年超の現役プロデザイナーの講師が、従来技術と最新の「人工知能(生成AI & ニューラルフィルター)」を融合。合成写真、写真加工のテクニックと実務に必須となる実戦用ノウハウを実演しながらわかりやすくレクチャー化。

あなたのスキルを実務経験者レベルに導きます。

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Adobe Photoshop 25.0(2024)以上から、実装された「生成AI(ジェネレーティブAI)」機能に特化したフォトレタッチ講座です。

※ Adobe Photoshop 25.0以上必須

初心者がいきなり「生成AI」を活用した「実務用フォトレタッチ」を最短最速でマスターできます。


内容は『超初心者用』なので「はじめてPhotoshopに触る方」大歓迎です。

実務経験20年超の現役プロデザイナーの講師が、従来技術と最新の「人工知能(生成AI & ニューラルフィルター)」を融合。合成写真、写真加工のテクニックと実務に必須となる実戦用ノウハウを実演しながらわかりやすくレクチャー化。

あなたのスキルを実務経験者レベルに導きます。

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Course Overview:

Embark on a transformative journey into the captivating world of AI art with our comprehensive guide tailored for beginners. This course demystifies the realm of artificial intelligence in art, offering you a clear pathway to harness its vast potential.

What You Will Learn:

  • Master the Basics: Understand the foundational concepts of AI art and how platforms like Midjourney are revolutionizing the creative landscape.

  • Navigate Discord & Midjourney: Seamlessly integrate these platforms to optimize your AI art creation experience.

  • Craft Distinctive AI Artworks: Dive deep into the art of prompting and techniques to generate artworks that resonate with your unique vision.

  • Engage with the AI Art Community: Draw inspiration from the Midjourney community, understand trends, and become a part of a vibrant network of AI art enthusiasts.

Why This Course?:

AI artistry is more than just a trend; it's the future of creative expression. Whether you're an artist, a tech enthusiast, or someone curious about the fusion of art and technology, this course offers a structured approach to explore and master the domain. With hands-on exercises, practical applications, and insights from experts, you'll be well-equipped to navigate the AI art world with confidence.

Who Is This For?:

Beginners intrigued by AI art, artists keen on integrating technology, and anyone eager to delve into a new and exciting realm. No prior AI knowledge is required, just an open mind and a passion for learning.

Materials/Resources:

All you need is a computer with a stable internet connection. We'll guide you through the rest, from setting up platforms to generating your first AI artwork.

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Course Overview:

Embark on a transformative journey into the captivating world of AI art with our comprehensive guide tailored for beginners. This course demystifies the realm of artificial intelligence in art, offering you a clear pathway to harness its vast potential.

What You Will Learn:

  • Master the Basics: Understand the foundational concepts of AI art and how platforms like Midjourney are revolutionizing the creative landscape.

  • Navigate Discord & Midjourney: Seamlessly integrate these platforms to optimize your AI art creation experience.

  • Craft Distinctive AI Artworks: Dive deep into the art of prompting and techniques to generate artworks that resonate with your unique vision.

  • Engage with the AI Art Community: Draw inspiration from the Midjourney community, understand trends, and become a part of a vibrant network of AI art enthusiasts.

Why This Course?:

AI artistry is more than just a trend; it's the future of creative expression. Whether you're an artist, a tech enthusiast, or someone curious about the fusion of art and technology, this course offers a structured approach to explore and master the domain. With hands-on exercises, practical applications, and insights from experts, you'll be well-equipped to navigate the AI art world with confidence.

Who Is This For?:

Beginners intrigued by AI art, artists keen on integrating technology, and anyone eager to delve into a new and exciting realm. No prior AI knowledge is required, just an open mind and a passion for learning.

Materials/Resources:

All you need is a computer with a stable internet connection. We'll guide you through the rest, from setting up platforms to generating your first AI artwork.

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We created this online course to help beginners master the art of AI content creation using the Mid Journey platform. This course focuses on what you truly need to know, saving you time and taking you through the recommended order to learn Mid Journey.

From setting up accounts to understanding the logic behind prompts, we've got you covered. You'll learn not just the technical aspects, but also how to effectively communicate with AI bots, a crucial skill in today's digital world.

in today's rapidly evolving digital landscape, mastering tools like Mid Journey is no longer a luxury, but a necessity. As AI continues to revolutionize various industries, the ability to harness its power for content creation sets you apart.

By the end of this course, you'll be able to create a wide range of content, from stunning digital art to engaging visuals for your website or blog. Plus, our course is updated to the latest version, V 5.1, ensuring you're learning the most recent features and changes in the algorithm's behavior.

Its time to invest in your future-self. Not so far away Ai skills will be very important; and right now its the perfect time to start mastering those skills.


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We created this online course to help beginners master the art of AI content creation using the Mid Journey platform. This course focuses on what you truly need to know, saving you time and taking you through the recommended order to learn Mid Journey.

From setting up accounts to understanding the logic behind prompts, we've got you covered. You'll learn not just the technical aspects, but also how to effectively communicate with AI bots, a crucial skill in today's digital world.

in today's rapidly evolving digital landscape, mastering tools like Mid Journey is no longer a luxury, but a necessity. As AI continues to revolutionize various industries, the ability to harness its power for content creation sets you apart.

By the end of this course, you'll be able to create a wide range of content, from stunning digital art to engaging visuals for your website or blog. Plus, our course is updated to the latest version, V 5.1, ensuring you're learning the most recent features and changes in the algorithm's behavior.

Its time to invest in your future-self. Not so far away Ai skills will be very important; and right now its the perfect time to start mastering those skills.


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Section 1: Introduction to AI Art Generation

  • What is AI art?

  • A brief history of AI art

  • Different types of AI art (e.g. style transfer, GANs)

  • Overview of the tools and software used in AI art generation

Section 2: Understanding Machine Learning

  • What is machine learning?

  • Supervised vs. unsupervised learning

  • Neural networks and deep learning

  • Data preprocessing techniques (e.g. normalization, data augmentation)

Section 3: Collecting and Preparing Data

  • The importance of data in AI art generation

  • Tips for collecting and preparing data for use in AI models

  • Data cleaning techniques

  • Data labeling strategies

  • Overview of public datasets for AI art generation

Section 4: Training AI Models

  • Choosing the right architecture for your AI model

  • Setting up your training environment (e.g. using cloud-based services)

  • Strategies for monitoring and improving model performance

  • Techniques for fine-tuning your AI model

Section 5: Generating Art

  • Techniques for selecting and manipulating images and videos for use in AI art generation

  • Using pre-trained models for generating art

  • Fine-tuning model parameters for different artistic effects

  • Selecting output formats (e.g. digital images, video)

Section 6: Exploring the Future of AI Art

  • Emerging trends in AI art generation (e.g. GANs, style transfer)

  • Possibilities for future developments in the field

  • Potential applications for AI art in different industries

Section 7: Ethical Considerations

  • Intellectual property considerations for AI-generated art

  • Addressing bias and discrimination in AI art generation

  • The role of human input in the creative process

  • Other ethical considerations in AI art generation


  • Each section could include a combination of video lectures, written content, interactive exercises, and hands-on projects to help students learn and apply the material.


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Section 1: Introduction to AI Art Generation

  • What is AI art?

  • A brief history of AI art

  • Different types of AI art (e.g. style transfer, GANs)

  • Overview of the tools and software used in AI art generation

Section 2: Understanding Machine Learning

  • What is machine learning?

  • Supervised vs. unsupervised learning

  • Neural networks and deep learning

  • Data preprocessing techniques (e.g. normalization, data augmentation)

Section 3: Collecting and Preparing Data

  • The importance of data in AI art generation

  • Tips for collecting and preparing data for use in AI models

  • Data cleaning techniques

  • Data labeling strategies

  • Overview of public datasets for AI art generation

Section 4: Training AI Models

  • Choosing the right architecture for your AI model

  • Setting up your training environment (e.g. using cloud-based services)

  • Strategies for monitoring and improving model performance

  • Techniques for fine-tuning your AI model

Section 5: Generating Art

  • Techniques for selecting and manipulating images and videos for use in AI art generation

  • Using pre-trained models for generating art

  • Fine-tuning model parameters for different artistic effects

  • Selecting output formats (e.g. digital images, video)

Section 6: Exploring the Future of AI Art

  • Emerging trends in AI art generation (e.g. GANs, style transfer)

  • Possibilities for future developments in the field

  • Potential applications for AI art in different industries

Section 7: Ethical Considerations

  • Intellectual property considerations for AI-generated art

  • Addressing bias and discrimination in AI art generation

  • The role of human input in the creative process

  • Other ethical considerations in AI art generation


  • Each section could include a combination of video lectures, written content, interactive exercises, and hands-on projects to help students learn and apply the material.