Stable Diffusion Realistic AI Consistent Character (Instant Method Without Training)

27 Sept 202306:47

TLDRThis tutorial demonstrates how to create a consistent face using stable diffusion and extensions like epic realism checkpoint model and automatic 1111. By blending a generated face with a real-life photo, the video showcases a method for seamless face replacement without additional editing tools. It guides viewers through the setup, painting process, control net usage, and upscaling with extensions, resulting in realistic and detailed facial features. The method is tested with stock photos, aiming to achieve a consistent look for an Instagram AI modeling account.


  • 🎨 Maintaining a consistent face in generative AI images can be challenging but achievable with the right tools and techniques.
  • πŸ–ΌοΈ The video demonstrates a method for creating an Instagram AI modeling account using stable diffusion and stock photos.
  • πŸ” The goal is to blend a generated face with a real-life photograph seamlessly, without additional editing tools.
  • πŸ› οΈ Essential tools include the Epic Realism Checkpoint model and the Epic Realism Helper, Laura, for enhancing skin details.
  • πŸ“š Download and install the Epic Realism Checkpoint model from and place it in the stable diffusion folder.
  • πŸ”§ Install the Ultimate SD Upscale and ROOPE extensions in Automatic 1111 for image processing.
  • πŸ–ŒοΈ Start by loading the Epic Realism Checkpoint and focusing on painting the face and neck area.
  • πŸ“ Adjust settings like mask padding pixels, sampling method, and dimensions for optimal results.
  • 🌐 Use the Control Net feature in Automatic 1111 for better face generation.
  • πŸ”„ Group extension allows face replacement in images without extensive training.
  • πŸ“± Apply skin enhancement and upscaling using Laura and Ultimate SD Upscale for improved image quality.

Q & A

  • What is the main challenge discussed in the video?

    -The main challenge is maintaining a consistent face using generative AI in the world of image creation.

  • Which tool is suggested for achieving consistent face generation?

    -Stable diffusion is the suggested tool for achieving consistent face generation.

  • What is the purpose of the method demonstrated in the video?

    -The purpose is to create an Instagram AI modeling account that can generate realistic and consistent faces.

  • Where can the stock photos for the demonstration be found?

    -The stock photos can be found from free pittcon.

  • What is the name of the realism checkpoint model used in the video?

    -The model used is called the epic realism checkpoint model.

  • How can one enhance skin details and add imperfections?

    -By using the epic realism helper, Laura.

  • What are the two required extensions for this method?

    -The two required extensions are Ultimate SD Upscale and ROOPE.

  • What is the recommended aspect ratio for the image resolution?

    -The recommended aspect ratio is 1024 in width and 1536 in height.

  • How does the video demonstrate the seamless blending of faces?

    -By using the Group extension for face replacement and then upscaling and applying skin enhancement with Laura.

  • What is the role of the control net in the process?

    -The control net is used to guide the face replacement process, ensuring a realistic and pixel-perfect outcome.

  • What factors can affect the outcome of face replacement?

    -Factors like the original face's shape, pose, and lighting conditions can affect the outcome.



🎨 Introduction to Consistent Face Generation with AI

The video script introduces the challenge of maintaining a consistent face in generative AI for image creation. It suggests using stable diffusion with the right approach and extensions to achieve this goal, particularly for starting an Instagram AI modeling account. The video aims to test this method using stock photos and a realism checkpoint model to blend a generated face with a real-life photograph without additional editing tools. The script encourages viewers to subscribe and like the video to support future content and to follow the tutorial for setting up essential tools like the epic realism checkpoint model and extensions like Ultimate SD Upscale and ROOPE.


πŸ–ŒοΈ Tutorial on Face Replacement and Enhancement

The second paragraph details the process of using the epic realism checkpoint model for face replacement in images. It guides the user through the installation of necessary extensions, setting up the model, and using the control net for face-only processing. The script explains how to use the Group extension for face replacement and provides tips on using positive and negative prompts. It then describes the upscaling process with the Ultimate SD Upscale extension and the application of the Epic Realism Helper for skin texture enhancement. The paragraph concludes with a demonstration of the seamless blending of the replaced face with the original image and encourages viewers to apply the method to other images for consistent results.



πŸ’‘Generative AI

Generative AI refers to artificial intelligence systems that are capable of creating new content, such as images, music, or text. In the context of this video, it is used to describe the technology behind creating consistent faces in images. The video discusses using AI to generate realistic faces that can be seamlessly integrated into existing photographs, showcasing the advanced capabilities of generative AI in the realm of image manipulation.

πŸ’‘Stable Diffusion

Stable Diffusion is a type of generative AI model used for image synthesis. It is a diffusion process that starts with a random noise image and progressively refines it into a coherent image through a series of steps. In the video, Stable Diffusion is the tool used to achieve the goal of maintaining a consistent face across different images, demonstrating its utility in the creative process of AI modeling.

πŸ’‘Realism Checkpoint Model

The Realism Checkpoint Model is a specific type of AI model designed to enhance the realism of generated images. It is used in the video to ensure that the generated face appears lifelike and blends well with the rest of the image. This model is crucial for achieving the desired outcome of a consistent and realistic face in AI modeling.

πŸ’‘Epic Realism Helper (Laura)

Epic Realism Helper, referred to as Laura in the script, is an extension or tool that enhances skin details and adds more imperfections to the generated images. This tool is used to improve the quality of the generated face, making it look more natural and realistic. It plays a significant role in the process of achieving a seamless blend of the AI-generated face with the real-life photograph.

πŸ’‘Control Net

Control Net is a feature within the AI modeling software that allows users to have more control over the generation process. In the video, it is used to focus on the face only, ensuring that the AI model generates a face with accurate facial features. This concept is essential for maintaining consistency in facial features across different images.

πŸ’‘Ultimate SD Upscale

Ultimate SD Upscale is an extension that enables users to increase the resolution of their images while maintaining or enhancing the quality. In the video, this extension is used to upscale the generated image, allowing for a larger and more detailed output. It is a crucial step in the process of creating high-resolution, realistic images for AI modeling accounts.


ROOPE is another extension mentioned in the script, though its specific function is not detailed. Generally, extensions like ROOPE are used to add additional capabilities or features to the base AI modeling software, enhancing the user's ability to manipulate and refine their images. In the context of the video, it likely contributes to the overall quality and realism of the generated images.

πŸ’‘Aspect Ratio Calculator

An aspect ratio calculator is a tool used to determine the proportions of an image's width and height. In the video, it is used to minimize the dimensions of the generated image to a specific aspect ratio, such as 1024x1536, which is important for maintaining consistency across a series of images and for fitting the images to specific platforms or formats.

πŸ’‘Pixel Perfect

Pixel Perfect refers to an image or design that is optimized at the pixel level, ensuring that the details are crisp and clear. In the context of the video, enabling Pixel Perfect likely means that the AI model is instructed to pay close attention to the quality of the generated image, ensuring that the final output is free from any pixelation or blurriness, and that the face replacement is as seamless as possible.


Upscaling is the process of increasing the resolution of an image while trying to maintain or improve its quality. In the video, upscaling is used after generating the face to create a larger, more detailed image. This is an important step in preparing images for display on various platforms, especially where high-resolution images are required.

πŸ’‘4X NMKD Super Scale

4X NMKD Super Scale is a specific upscaling technique or setting used in the video. It is likely a method that enhances the image's resolution by a factor of 4, making it suitable for larger displays or prints. This technique is used to ensure that the upscaled image retains the quality and detail necessary for a realistic and visually appealing result.


Maintaining a consistent face in generative AI can be challenging, but achievable with stable diffusion.

The method can be used to start an Instagram AI modeling account, providing incredible results.

The video demonstrates blending a generated face with a real-life photograph without additional editing tools.

The essential tool for this method is the epic realism checkpoint model.

Epic realism helper Laura is used to enhance skin details and add imperfections.

Two extensions, Ultimate SD Upscale and ROOPE, are required for the process.

The process begins by loading the epic realism checkpoint and focusing on painting the face and neck.

Settings for the process include mask padding pixels, sampling method, and dimensions.

Control net is used with open pose and face-only preprocessor settings.

Group extension enables face replacement in images without Laura training.

A high-quality portrait picture is used for the target face with simple positive and negative prompts.

Upscaling and skin enhancement are applied using Laura and Ultimate SD Upscale.

The face seamlessly blends with the original image, showcasing realistic skin texture.

The outcome may vary based on factors like face shape, pose, and lighting conditions.

The method can be used with other checkpoint models for different results.

The tutorial aims to inform and entertain, encouraging viewers to subscribe and engage with the content.