Leonardo AI für Anfänger Teil 7 - Eigene Bilder mit KI verändern - Fotos ändern | Tutorial [deutsch]
TLDRIn this tutorial, the focus is on using artificial intelligence to modify the appearance of images while retaining the original idea or making minor adjustments. The demonstration utilizes Photoshop and Leonardo AI, a tool previously used in the series. By activating the 'Image Guidance' feature and uploading a base image, users can generate new images with adjustable influence strength of the original. The example showcases transforming a horse image into a 'cyber horse' made of metal, emphasizing the versatility of AI in image generation and the ability to fine-tune results according to preference.
Takeaways
- 🎨 The tutorial focuses on using artificial intelligence to modify images, specifically altering the shape of the subject while retaining the original idea or making minor adjustments.
- 🖼️ The demonstration uses Photoshop to showcase the process of image modification and compares the original and AI-altered images side by side.
- 🤖 The tool 'Leonardo AI' is mentioned as the software used for image generation and manipulation in the tutorial.
- 🔍 An 'Image guidance' feature is highlighted, which allows users to upload an image or select from recently used ones to guide the AI in generating a new image.
- 🌐 The tutorial explains how to activate the 'Image guidance' feature by uploading a picture or choosing from a list of previously created images.
- 🔄 The 'Image to image' generation process is described, where users can adjust the strength of the original image's influence on the final result.
- 🛠️ Users can experiment with different settings, such as the type of model used for generation and the dimensions of the output image.
- 📈 The tutorial provides an example of generating a 'cyborg horse' made of metal, demonstrating the creative possibilities of AI image generation.
- 🔄 It's emphasized that users can scale or refine the generated image further, continuing the process of creation and modification.
- ⏱️ The generation process takes some time, during which users can view the progress in the 'generation history'.
- 📝 The importance of the 'strength' setting is reiterated, showing how it affects the degree of change from the original image to the final output.
Q & A
What is the main topic of the tutorial?
-The main topic of the tutorial is how to use artificial intelligence to modify images, specifically altering the shape of the starting images while retaining the core idea or making minor changes.
Which software is used to demonstrate the process?
-Photoshop is used to demonstrate the process of modifying images with artificial intelligence.
What tool is mentioned for image generation?
-The tool mentioned for image generation is Leonardo AI, which has been used in previous tutorials.
How can users activate the Image Guidance feature?
-Users can activate the Image Guidance feature by uploading an image from their computer, selecting a recently used image, or choosing from displayed images.
What does the 'strength' setting control?
-The 'strength' setting controls how strongly the starting image influences the final result, determining how recognizable the original image should be in the end result.
What example was given to demonstrate the process?
-The example given was creating a 'cyborg horse' made of metal to demonstrate the process of modifying an image using artificial intelligence.
How can users explore different options and settings?
-Users can explore different options and settings by trying various commands, selecting different models for generation, and adjusting the strength of the starting image's influence on the final result.
What happens when the 'strength' is set to a very low value?
-When the 'strength' is set to a very low value, the final image will have a very minimal change from the original image, and the influence of the image guidance will be barely noticeable.
What is the purpose of the 'Image Generation Tool'?
-The purpose of the 'Image Generation Tool' is to create new images based on a starting image, using artificial intelligence to generate an end result that can be modified in terms of appearance and characteristics.
How can users refine the generated images?
-Users can refine the generated images by scaling them up, making adjustments, or further processing based on the initial results and the influence of the starting image.
Outlines
🤖 Introduction to AI Image Transformation Tutorial
This paragraph introduces the topic of the video, which is an artificial intelligence (AI) tutorial focused on altering the shape of images. The speaker, Ali, welcomes viewers back and explains that the tutorial will demonstrate how to change the appearance of images while retaining the original idea or making minor adjustments. The speaker uses Photoshop to showcase the images and mentions working with an AI tool called Leonardo AI. The process involves comparing images and using the 'Image Generation Tool' to create new images based on an initial image, which is referred to as the starting or base image.
Mindmap
Keywords
💡Artificial Intelligence
💡Image Generation Tool
💡Image Guidance
💡Photoshop
💡Cyborg Horse
💡Metal
💡Personal Feed
💡Image to Image
💡Strength
💡Generate
💡Demonstration
Highlights
The introduction of a new tutorial on artificial intelligence, focusing on image manipulation.
The ability to alter the shape of images while retaining the original idea or making minor changes.
The use of Photoshop to demonstrate the comparison between original and manipulated images.
Utilization of the Leonardo AI tool for image manipulation, which has been used multiple times before.
Exploration of the 'Image Guidance' feature in the image generation tool.
The requirement to upload an image to activate the 'Image Guidance' feature.
The option to generate images based on a previously created image or from the most recently used images.
The capability to adjust the strength of the original image's influence on the final result.
An example of creating a 'cyborg horse' made of metal, demonstrating the versatility of the AI tool.
The possibility of using different models for image generation to achieve desired outcomes.
The ability to adjust image dimensions for optimal results.
The generation history feature, showing the evolution of image manipulation.
The significant impact of the original image on the final result, as demonstrated in the tutorial.
The potential to scale or refine the generated image for further use.
Information on how changing the strength setting can minimally or significantly alter the final image.
The example of creating a 'clown horse' to illustrate the adaptability of the AI tool.
The anticipation of waiting for the images to be generated, emphasizing the process's dynamic nature.
The final demonstration of the manipulated image, showcasing the AI tool's capabilities.