Forbidden Desires: Generate Adult Content with AI

Code & bird
19 Sept 202321:48

TLDRThe video script introduces viewers to the world of AI-generated content, focusing on the use of AI technologies like stable diffusion for creating images. It guides users through setting up their own instance of AI services on Google Collab Pro and Google Drive to generate content beyond the restrictions of publicly available AI services. The tutorial covers the process of finding and using different models, refining prompts, and adjusting settings for better image generation. The video also touches on the potential of AI in creating diverse and imaginative art, while emphasizing the importance of exploring and experimenting with various prompts and models to achieve desired results.


  • 🌐 Access to immense computer power and AI technologies has made significant progress in recent years.
  • πŸ“„ AI technologies like GPT and DALL-E are being used for various applications, including writing official letters and generating images.
  • πŸ”’ Publicly available AI services are strictly censored and cannot be used to generate adult content without setting up a private instance.
  • πŸ’‘ To set up a private instance, one needs to subscribe to Google Colab Pro and acquire Google Drive storage.
  • πŸ“Š Google Colab Pro costs around Β£10 per month, and a recommended 100 GB of Google Drive storage starts from Β£1.59.
  • πŸ”— A stable diffusion web UI notebook can be found and copied to one's Google Drive for use in generating content.
  • πŸ›  The web UI allows users to connect their Google Drive, download and install necessary tools, and generate AI art based on prompts.
  • 🎨 Users can adjust settings such as image size and style to improve the quality and relevance of the generated images.
  • πŸ“š CIT AI is a website that offers a collection of pre-trained models for various purposes, including generating specific types of content.
  • πŸ”„ By uploading downloaded models to Google Drive, users can switch between different AI models in the web UI for generating images.
  • πŸ“ˆ Examples and configurations of images generated by others can be found on CIT AI for inspiration and learning purposes.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is about setting up your own instance of AI technologies, specifically stable diffusion, for generating content that is not available on publicly accessible AI services due to censorship.

  • What is the first step in setting up your own AI instance as described in the video?

    -The first step is to subscribe to Google Colab Pro, which costs around Β£10 per month based on the current plan mentioned in the video.

  • How much storage is recommended for Google Drive in this context?

    -The video suggests getting at least 100 GB of storage on Google Drive for this purpose.

  • What is the purpose of finding a notebook for stable diffusion web UI?

    -The notebook for stable diffusion web UI is necessary to copy to your Google Drive, which will be used to run the AI technology for content generation.

  • What is the significance of the stable diffusion checkpoint in the video?

    -The stable diffusion checkpoint is a model that can create a variety of content, including portraits, landscapes, objects, etc. It is a default setting in the AI technology being discussed.

  • Why does the video mention changing the image size setting?

    -Changing the image size setting from 512 pixels to 1024 pixels is recommended for stable diffusion Excel, as the default size of 512 pixels may not yield the best results for certain applications.

  • What is the website CIT AI mentioned in the video for?

    -CIT AI is a website that hosts a collection of different pre-generated models for various purposes, which can be downloaded and used with stable diffusion.

  • How does the video suggest improving the quality of generated images?

    -The video suggests using negative prompts to exclude undesired features, and also trying different models available on CIT AI to improve the quality and realism of the generated images.

  • What is the role of the 'Laura' model in the AI generation process?

    -The 'Laura' model is an additional model that can be applied on top of the main base model to create images with specific characteristics, such as particular clothing or styles, making the generated characters more detailed and accurate.

  • How can users find inspiration for their AI-generated content?

    -Users can find inspiration by browsing through examples of images created by others on CIT AI, and by seeing the prompts and settings they used for their generation.

  • What does the video suggest for users who want to explore more creative freedom?

    -The video suggests that users can build their own prompts from scratch, experiment with different settings, and refine their AI-generated content to match their creative vision more closely.



πŸš€ Introduction to AI and Computing Power

The video begins by introducing the viewer to the exciting possibilities of harnessing AI technologies and computing power to bring one's wildest fantasies to life. It highlights the significant advancements in AI over recent years, such as AI-generated official letters and bizarre images. The video then addresses the common use of AI in adult content, noting that public AI services are censored and require a personal instance of AI models like stable diffusion to bypass restrictions.


πŸ’» Setting Up Your AI Instance

The video provides a step-by-step guide on setting up a personal AI instance for generating content. It instructs the viewer to subscribe to Google Colab Pro at a cost and to acquire Google Drive storage. The video then guides the viewer to find a specific notebook for stable diffusion web UI, save a copy to their Google Drive, and run through the steps to install and prepare for content generation. The process may take time and patience, but once completed, the viewer will have access to a web UI for AI art creation.


🎨 Experimenting with AI Art Generation

The video demonstrates the process of generating AI art using the stable diffusion model. It explains the importance of using detailed and descriptive prompts and negative prompts to refine the output. The video shows examples of generated images, including a woman, and discusses the results, noting the limitations of the default model in generating realistic human figures. It suggests exploring alternative models available on websites like CIT AI for better results.


🌐 Exploring CIT AI for Improved Models

The video delves into the use of CIT AI, a platform that offers a variety of pre-trained models for different purposes. It guides the viewer on how to download and use the 'dream shaper' model for generating fantasy narratives with human-like characters. The video also emphasizes the importance of exploring examples of AI-generated images on CIT AI for inspiration and understanding the configurations used for successful results.


πŸ”„ Refining and Customizing AI Art

The video concludes by discussing methods to refine and customize AI-generated art. It covers the use of additional models like 'Laura' for specific features, such as clothing or character traits, and the process of uploading these models to the stable diffusion UI. The video also touches on the potential of building prompts from scratch for greater creative freedom. It encourages viewers to experiment with different settings and prompts to achieve desired results and to look forward to future videos for more advanced techniques.



πŸ’‘AI Technologies

AI Technologies refer to the various software, algorithms, and machine learning models that enable computers to perform tasks that would typically require human intelligence. In the context of the video, AI Technologies have made significant progress, allowing for the creation of written content and generation of diverse images. These technologies are being utilized to bring wildest fantasies to life with just a few clicks, showcasing their immense potential and versatility.

πŸ’‘Stable Diffusion

Stable Diffusion is a specific type of AI model used for generating images based on textual prompts. It is known for its ability to create a wide range of visual content, from portraits to landscapes and objects. The video discusses setting up one's own instance of Stable Diffusion to generate content that is not available on publicly censored AI services.

πŸ’‘Google Colab Pro

Google Colab Pro is a subscription-based service offered by Google that provides enhanced features for running Jupyter notebooks in the cloud. It allows users to access more computing resources and storage, which is essential for running AI models like Stable Diffusion. The video outlines the need for a subscription to Google Colab Pro to utilize its services for AI image generation.

πŸ’‘Google Drive

Google Drive is a cloud storage service that allows users to store and share files online. In the video, it is used to store the AI model and the generated images, as well as to run the Stable Diffusion web UI. The service's cloud capabilities are crucial for the setup and operation of the AI image generation process.

πŸ’‘Web UI

Web UI refers to the graphical user interface of a web application, which allows users to interact with the program through a web browser. In the context of the video, the Stable Diffusion web UI is the platform where users can input prompts and generate images using the AI model.


Prompts are the textual inputs or descriptions provided to the AI model to guide the generation of specific images. They are a critical component in AI image generation, as they determine the content and style of the output. The video emphasizes the importance of detailed and descriptive prompts for generating desired images.

πŸ’‘Negative Prompts

Negative prompts are specific instructions given to the AI model to avoid certain elements or characteristics in the generated images. They are used to refine the output and ensure that the final images align more closely with the user's preferences or requirements.


CIT AI is a website mentioned in the video that hosts a collection of pre-trained AI models for various purposes. Users can download these models to improve the quality and specificity of their AI-generated images, offering more creative freedom and precision in content creation.

πŸ’‘Image Generation

Image generation is the process of creating visual content using AI models, based on textual prompts or other inputs. It is a key focus of the video, which demonstrates the steps and techniques involved in generating images through Stable Diffusion and other AI technologies.

πŸ’‘Dream Shaper

Dream Shaper is a specific AI model mentioned in the video, designed for generating fantasy-themed images while keeping characters looking human. It is one of the models available on CIT AI and is used to create more nuanced and stylistic visual content.


Lauras, in the context of the video, refer to additional AI models that can be applied on top of the base model to create images with specific characteristics or styles. They are used to enhance the base model's capabilities and allow for more detailed and varied image generation.


Access to immense computer power and AI technologies has led to incredible progress in recent years.

AI technologies like GPT and DALL-E are being used for official letters and generating various types of images.

The most popular use of AI technologies is in the realm of adult content, but publicly available AI services are strictly censored.

To generate adult content, one must set up their own instance of AI models such as Stable Diffusion.

Google Colab Pro is recommended for its affordability and access to necessary computing resources.

A minimum of 100 GB of Google Drive storage is suggested for this process.

Finding and copying the appropriate Stable Diffusion web UI notebook from Google Drive is a crucial step.

The process involves connecting to Google Drive, allowing permissions, and following steps to download and install necessary components.

The default Stable Diffusion model can create a variety of content, including portraits, landscapes, and objects.

Adjusting settings such as image size and prompts can significantly affect the output of the AI-generated images.

CIT AI is a website that offers a collection of different models for various purposes, providing both inspiration and ready-to-use models.

The Dream Shaper model is highlighted as a favorite for generating fantasy narratives while keeping characters looking human.

By using different models and settings, users can experiment with creating a wide range of images from realistic to cartoonish.

The video demonstrates the process of refining prompts and settings to generate more desirable AI art.

The importance of patience when waiting for AI-generated images to render is emphasized.

The video provides a tutorial on how to avoid common issues like black and white images or deformed bodies in the generated content.

The potential for customizing and improving AI-generated images by changing specific elements like the face or hands is discussed.

The video encourages viewers to explore their creative freedom by building their prompts from scratch.

The video concludes with a teaser for future content, promising to cover more advanced techniques and improvements in upcoming videos.