DALL-E 2 Tutorial für Anfänger | Bilder erstellen & bearbeiten mit Künstlicher Intelligenz

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30 Jan 202314:28

TLDRThe video script introduces Open AI's DALL-E, a tool that generates images from text descriptions. It highlights the ease of use and accessibility, as the service is largely free with a simple account setup. The video demonstrates creating images from scratch, generating variations, and editing existing images. It emphasizes the importance of precise text input for desired outcomes and explores the potential for commercial use of the generated images. The tutorial also touches on the capabilities of DALL-E in altering backgrounds and specific elements of an image while maintaining the original's essence.


  • 🌐 Open AI offers a platform for generating images from text and editing existing images using AI.
  • 🆓 The usage of Open AI's services is largely free, with new users receiving 50 credits upon sign-up.
  • 🔄 Users receive 15 free credits monthly, which reset at the beginning of each month and are usable alongside the existing balance.
  • 💰 Credits can be purchased for further usage, with the example given being 115 credits for $15.
  • 🖼️ The platform allows users to generate images from scratch based on text descriptions or edit existing images by adding or removing elements.
  • 🔍 The AI provides four different image results for each text prompt, offering a variety of options.
  • 📸 Users can upload their own images for editing, with the current limitation of requiring a square format.
  • ✂️ The 'Edit Image' feature lets users remove parts of an image and have the AI regenerate that area based on a new text prompt.
  • 📈 Detailed and precise text prompts result in more accurate image generation, such as specifying 'epic cinematic portrait' for a desired look.
  • 🚫 While Open AI states that users own the generated images and can use them for commercial purposes, the legal clarity on this is still emerging, especially in different jurisdictions like Germany.
  • 💡 The video script serves as a tutorial on how to use Open AI's DALL-E service for image generation and editing, providing tips for achieving the best results.

Q & A

  • What are some of the key features offered by Open AI's DALL-E?

    -Open AI's DALL-E offers the ability to generate images from text descriptions, create variations of an image, and automatically edit existing images. These functionalities are largely accessible for free and are比较简单易用.

  • How does the credit system work in Open AI's platform?

    -Users receive 50 credits upon signing up for a new account, and an additional 15 credits each month. These credits are temporary and reset each month, meaning they cannot be saved up. Users also have the option to purchase more credits if they wish to use the platform beyond the free credits provided.

  • What are the two main functions of DALL-E?

    -The two main functions of DALL-E are generating images from textual descriptions and editing or creating variations of existing images. Users can either input text to generate new images or upload their own images for modification or variation generation.

  • How can users find inspiration for creating images with DALL-E?

    -Users can find inspiration by browsing through the examples of images generated by the AI on the platform's homepage. These images come with the text inputs that were used to create them, providing a clear idea of what kind of results can be achieved with specific descriptions.

  • What are the options available after generating an image with DALL-E?

    -After generating an image, users can choose their favorite result and either download it, generate variations based on it, or edit the image by removing parts and asking the AI to regenerate those areas with new content based on a new text input.

  • How can users ensure more accurate results when using DALL-E?

    -To ensure more accurate results, users should provide detailed and specific descriptions when generating images. This includes not only what is to be depicted but also the style or mood of the image desired.

  • What is the policy regarding the use and commercialization of images created with DALL-E?

    -According to Open AI, users own the images they create with DALL-E and have the right to print, sell, or use them in other ways. However, it is important to note that the legal status of such images may not be fully clarified under certain jurisdictions, such as German law.

  • Can users upload and modify their own images with DALL-E?

    -Yes, users can upload their own images for modification. However, they must first crop the image to a square format, as the platform currently only supports square images. Users can then edit the image by removing certain areas and asking the AI to regenerate those areas with new content based on a new text input.

  • How does the 'Edit Image' function work in DALL-E?

    -The 'Edit Image' function allows users to remove specific areas from an image and then regenerate those areas with new content based on a new text input. This can be used to change the background, add elements, or modify the overall composition of the image.

  • What is an example of a detailed description that could be used to generate a specific image with DALL-E?

    -A detailed description could be 'epic cinematic portrait of a flying superhero in Hawaii'. This not only describes the subject (a flying superhero) but also the style (epic and cinematic) and the setting (Hawaii), which helps DALL-E generate a more accurate and desired result.

  • How can users refine their images further after generating variations?

    -Users can continue to refine their images by selecting a variation they like and then using the 'Generate Variations' function again to create additional versions. This process can be repeated until the user is satisfied with the final result.



🎨 Exploring Open AI's DALL-E Image Generation

This paragraph introduces the capabilities of Open AI's DALL-E, which can generate images from text descriptions, create variations of existing images, and even edit user-uploaded images. It emphasizes the ease of use and the largely free access to these AI-powered features. The user navigates through the Open AI website, explains the process of generating images by typing text into the provided field, and discusses the credit system that allows new users to have 50 credits upon sign-up, with an additional 15 free credits each month. The paragraph also mentions the option to purchase more credits for extended use.


🖌️ Refining and Editing Generated Images

The second paragraph delves into the refinement and editing options available within the platform. It explains how users can select the best image from the generated results, download them, or create new variations based on the chosen image. The user demonstrates how to edit an image by removing unwanted parts and allowing the AI to fill in the gaps with new content based on a newly entered text description. This section also provides tips on how to achieve more precise results by using detailed and specific descriptions when generating images, such as creating a movie poster for a flying superhero in Hawaii.


📸 Customizing with Personal Images

The final paragraph focuses on the ability to upload and customize personal images using the platform. It outlines the process of uploading an image, cropping it to a square format, and then either generating variations or editing the image by removing and regenerating specific areas. The user provides examples of how to change the background of an image to a New York City landscape and how to remove the sky from a landscape photo to replace it with a celestial scene. The paragraph concludes with a discussion on the ownership and usage rights of the generated images, clarifying that according to Open AI, users own the images and have the rights to use them, including for commercial purposes.



💡Artificial Intelligence (AI)

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think, learn, and problem-solve like humans. In the context of the video, AI is the driving force behind Open AI's DALL-E, which is capable of generating images from textual descriptions. The video showcases how AI can interpret text and create visual content, demonstrating its role in the creative process.

💡Open AI

Open AI is an AI research lab that aims to ensure that artificial general intelligence (AGI)—highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity. In the video, Open AI is the organization responsible for developing DALL-E, an AI tool that can generate images from textual descriptions. The platform is noted for its user-friendly interface and the ability to create accounts for free, which is highlighted in the video.


DALL-E is an AI program developed by Open AI that can create images from textual descriptions. It represents a significant advancement in AI's ability to understand and generate visual content. The video provides an in-depth look at how DALL-E works, including its features for generating images, creating variations, and editing existing pictures. The demonstration of generating a teddy bear in a suit illustrates DALL-E's capabilities.

💡Image Generation

Image generation is the process by which AI systems like DALL-E create visual content based on textual descriptions. This process involves interpreting the text to produce a corresponding image, demonstrating AI's understanding of language and its ability to translate concepts into visual representations. The video emphasizes the ease of use and the creative potential of this technology, as seen when the AI generates images based on the user's text inputs.


Variations refer to the different iterations or modifications of an image that AI can generate based on a single textual description or an existing image. In the context of the video, variations showcase the flexibility of AI in producing multiple creative outputs from a single input, allowing users to explore different visual interpretations of their ideas. The video illustrates this by generating multiple images of a teddy bear in a suit, each with slight differences.


Editing in the context of the video refers to the ability of AI to modify existing images, such as removing or adding elements, and then regenerating the image to create a new version. This feature demonstrates AI's capability to understand and manipulate visual content according to user input, offering a high level of customization and creativity. The video shows how users can edit images by removing parts of an image and asking the AI to fill in the missing areas with new content.


Credits in the context of Open AI's platform refer to a form of virtual currency that users can utilize to access the AI's image generation services. New users receive a certain number of credits upon registration, and they can earn more by logging in monthly or purchase additional credits. Credits are essential for using the AI's capabilities, as they are consumed with each image generation or editing request.


An account in this context refers to the user profile on Open AI's platform, which is necessary to access and use the AI's image generation services. The video explains the process of creating an account, which is free, and managing it, including tracking the number of credits available for image generation and editing.

💡Language Support

Language support refers to the AI's capability to understand and process different languages. In the video, it is mentioned that the AI not only understands English but also German, allowing for a broader range of users to interact with the AI and generate images based on their textual descriptions. This feature enhances the accessibility and inclusivity of the AI tool.


Inspiration in the context of the video refers to the creative ideas or stimuli that motivate users to generate images using AI. The platform provides visual examples of images generated by AI, which can spark users' creativity and help them come up with new ideas for their own image generation requests. The video emphasizes the importance of being inspired by the AI's previous outputs to create unique and personalized images.

💡Commercial Use

Commercial use pertains to the application of a product, service, or in this case, AI-generated images for business or profit-making purposes. The video discusses the possibility of using the AI's output for commercial purposes, citing Open AI's statement that users own the images they create and can use them for commercial use. However, it also mentions the ambiguity surrounding legal rights and the need for clarity in this area.


Open AI offers various functions such as creating images from words, generating different variations of an image, and automatically editing images.

The use of Open AI's features is largely free and the operation is relatively simple.

Upon signing up for an Open AI account, users receive 50 credits, with an additional 15 free credits each month that reset and do not accumulate.

Users have the option to purchase more credits if they wish to utilize more of the service beyond the free credits provided.

The AI can generate images based on text input in both English and German, offering a broad user base.

After generating an image, users can select their favorite result and further refine it by generating variations or editing the image.

Editing an image allows users to remove parts of the image and have the AI fill in the area with a new generation based on a new text input.

Users can upload their own images for editing, requiring a square format for the current functionality.

The AI can create variations of an uploaded image without additional text input, offering a range of new compositions.

Editing an image can involve specifying a new background or environment, such as 'New York City', and the AI will generate a new background accordingly.

The AI's ability to regenerate parts of an image, such as a landscape with planets in the sky, showcases its advanced understanding and manipulation of visual content.

Open AI's platform provides a creative tool for users to generate or refine images for various purposes, including potential commercial use.

The platform's interface allows for easy navigation and utilization of the AI's capabilities, with clear instructions and options for users.

The AI's performance in understanding and executing complex image generation requests demonstrates its potential as a powerful tool for visual content creation.

The tutorial provides insights into the practical applications of Open AI's image generation and editing features, offering users a comprehensive guide.

The AI's ability to generate high-quality, detailed images from text input is a significant advancement in the field of artificial intelligence.

Users are encouraged to experiment with detailed descriptions to achieve the most accurate and desired results from the AI's image generation capabilities.