Leonardo AI für Anfänger Teil 7 - Eigene Bilder mit KI verändern - Fotos ändern | Tutorial [deutsch]

3dtutor
22 Jan 202404:56

TLDRIn this tutorial, the host guides viewers through the process of using artificial intelligence to modify images, specifically focusing on altering the shape of a starting image while retaining its core idea. The demonstration utilizes Photoshop and Leonardo AI, a tool previously used in the series. The host showcases how to activate the 'Image Guidance' feature to generate new images based on an uploaded or recently used image, adjusting the strength of the original image's influence on the final result. The example provided involves transforming a horse image into a 'cyber horse' made of metal, with the option to further refine and scale the image. The tutorial emphasizes the flexibility of AI in image generation, allowing for a range of creative possibilities.

Takeaways

  • 🎨 The tutorial focuses on using artificial intelligence to modify images, specifically altering the shape and details of a base image while retaining its original idea.
  • 🔍 The speaker demonstrates the process using Photoshop and an AI tool called Leonardo AI, with which they have previously worked.
  • 🖼️ The AI tool allows users to upload an image and manipulate it using the 'Image Generation Tool' and an 'Image Guidance' feature.
  • 📂 Users can either upload a new image from their computer, select from recently used images, or choose from displayed options to serve as their base image.
  • 🔄 The 'Image to Image' generation feature enables the creation of a new image based on the selected base image, with adjustable strength settings to control the influence of the original image on the final result.
  • 🤖 An example given is the creation of a 'cyborg horse' made of metal, showcasing the versatility of the AI tool for creative purposes.
  • 🛠️ Users have the option to fine-tune their settings, such as choosing different models for image generation or adjusting image dimensions.
  • 📈 The demonstration shows how varying the 'strength' setting can lead to different outcomes, from minimal changes to a strong resemblance to the base image.
  • 🔄 After generating an image, users can scale or refine it further, continuing the creative process.
  • 📚 The tutorial encourages experimentation with different settings and options to achieve desired results.
  • 🔄 The 'Image Guidance' feature, when enabled, offers additional possibilities for generating new images based on the initial base image.

Q & A

  • What is the main topic of the tutorial?

    -The main topic of the tutorial is how to use artificial intelligence to modify the shape of images, specifically altering the appearance of the starting images while retaining their original idea or making minor changes.

  • Which software is used for demonstrating the process?

    -Photoshop is used for demonstrating the process of modifying images with artificial intelligence.

  • What tool is mentioned for generating images?

    -The tool mentioned for generating images is Leonardo AI, which the speaker has previously used in their tutorials.

  • How can one activate the Image Guidance feature?

    -To activate the Image Guidance feature, one needs to upload an image from their computer or select from the recently used images.

  • What does the 'strength' setting control?

    -The 'strength' setting controls how much influence the starting image has on the final result, determining how recognizable the original image should be in the end product.

  • What example was given for modifying an image?

    -The example given was creating a 'cyborg horse' made of metal, demonstrating the capability to make significant changes to the starting image.

  • Can other models be used for image generation?

    -Yes, the script mentions the possibility of using other models for generating images, offering users different options to achieve their desired results.

  • What happens when the 'strength' is set to a very low value?

    -When the 'strength' is set to a very low value, the original image has a minimal influence on the final result, and the output will closely resemble the starting image.

  • How can users refine the generated images?

    -Users can refine the generated images by scaling them up, making adjustments, and further enhancing the details as needed.

  • What is the purpose of the generation history?

    -The generation history allows users to track the process of their image creation, providing a record of the modifications and the steps taken to generate the final image.

Outlines

00:00

🤖 Introduction to AI Image Manipulation

The paragraph introduces the topic of the video, which is an artificial intelligence (AI) tutorial focused on altering the shape of images. The speaker, Ali, explains that viewers will learn how to change the appearance of images while maintaining the original idea or making minor adjustments. The process involves using Photoshop and an AI tool called Leonardo AI, which has been used in previous tutorials. Ali demonstrates how to use the tool by showing a personal feed of images, including a horse generated with AI.

Mindmap

Keywords

💡Artificial Intelligence

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. In the context of the video, AI is used to alter and generate images, demonstrating its capability to understand and manipulate visual data. The script mentions using AI to change the shape of images while retaining the original idea or making minor adjustments, showcasing the versatility of AI in creative tasks.

💡Image Generation Tool

An Image Generation Tool is a software application that uses AI algorithms to create new images based on given input. In the video, the tool is utilized to generate a new image by uploading a base image and applying specific commands and settings. This tool is integral to the demonstration of AI's capabilities in altering images while maintaining the original concept.

💡Image Guidance

Image Guidance is a feature within AI image generation tools that allows users to control the influence of the base image on the final output. By adjusting the strength of image guidance, users can determine how much of the original image should be recognizable in the generated image. In the video, the user demonstrates how altering the image guidance strength can lead to different outcomes, from significant transformations to subtle adjustments.

💡Photoshop

Photoshop is a widely used software program for image editing and manipulation. In the context of the video, it is mentioned as a tool for comparing the original and AI-generated images, highlighting the differences and showcasing the capabilities of AI in image alteration without the need for manual editing in Photoshop.

💡Cyborg Horse

A Cyborg Horse is a fictional concept where a horse is depicted or transformed to have mechanical or cybernetic components, often used to illustrate the fusion of organic and technological elements. In the video, the creation of a cyborg horse serves as an example of how AI can be used to blend different concepts and ideas to generate new and imaginative images.

💡Metal

In the context of the video, 'metal' refers to the material that the cyborg horse is made of, indicating a shift from the original organic form of the horse to a more industrial and technological representation. The choice of metal as a material for the cyborg horse exemplifies the ability of AI to understand and apply different properties and characteristics to the generated images.

💡Personal Feed

Personal Feed refers to a personalized stream or collection of content, in this case, images, that are generated or liked by the user. In the video, the personal feed is where the user finds the horse image that they want to use as a base for AI-generated transformations, highlighting the user's ability to curate and utilize their own content within the AI tool.

💡Image to Image

Image to Image is a process where AI takes one image as input and generates a new, transformed image as output. This process is central to the video's demonstration, as it shows how AI can understand and manipulate visual data to create new images based on a given base image, while allowing users to control the extent of the transformation.

💡Strength

In the context of the video, 'strength' refers to the degree of influence the base image has on the final generated image. Adjusting the strength allows the user to control how much of the original image is recognizable in the new image, ranging from a strong resemblance to a more abstract interpretation. This concept is crucial for achieving the desired balance between alteration and preservation of the original idea.

💡Generation History

Generation History is a record of the images that have been generated by the AI tool. It allows users to track their previous creations and serves as a reference for future projects. In the video, the generation history is where the new cyborg horse image is recorded and can be accessed for further review or manipulation.

💡Scaling

Scaling in the context of the video refers to the process of resizing an image, either by increasing or decreasing its dimensions. This is an important aspect of image manipulation that allows users to adjust the size of the generated images for different purposes or to refine the details after the initial creation.

Highlights

The introduction of a new tutorial on artificial intelligence, focusing on altering the shape of images while maintaining the original idea.

The demonstration of using Photoshop to compare images before and after the application of AI.

The use of Leonardo AI, a tool previously used in several instances, for the tutorial.

Explaining the process of using the Image Generation Tool and its features.

The discovery of the hidden 'Image Guidance' feature that can be activated after uploading an image.

The ability to adjust the strength of the original image's influence on the final result.

The example of creating a 'cyborg horse' made of metal using AI for demonstration purposes.

The option to choose from recently used images or generate a new one based on the selected starting image.

Exploring different settings and models for image generation to achieve desired outcomes.

The capability to adjust image dimensions for better results.

The warning that appears when recommended image dimensions are not followed and how to bypass it.

The process of generating images based on the original image used as a foundation.

The significant impact of the starting image on the final result.

The option to scale or refine the generated image for further use.

Additional possibilities unlocked by activating the 'Image Guidance' feature.

The observation that with a stronger influence setting, the final image remains very similar to the original.

The ability to make subtle changes to the image by adjusting the strength slider.

The importance of setting the strength to a very low value for minimal changes.

The conclusion of the tutorial and a teaser for the next one.