Realistic Vision 5.1 - This is CRAZY GOOD!!!

Olivio Sarikas
11 Aug 202309:13

TLDRThe video script offers a comprehensive guide on utilizing AI for creating stunning professional photography, highlighting the use of the advanced Realistic Vision 5.1 model. It provides detailed instructions on downloading and setting up the model, including tips on using positive and negative prompts, sampler methods, and upscaling techniques. The tutorial also addresses common challenges, such as generating realistic hands, and suggests practical solutions like rendering multiple versions and image layering for optimal results. The presenter encourages viewers to experiment with settings and share their preferred models for realistic images.


  • 🎨 The video discusses utilizing AI for creating stunning professional photography with the Realistic Vision model, currently at version 5.1.
  • 📂 It's important to download the model into the appropriate folder structure: automatic 1111 > models > stable diffusion.
  • 📖 Follow the advice and optional steps (indicated by orange text) provided on the website to optimize your AI photography experience.
  • 🔍 Use positive and negative prompts to refine the AI's output, enhancing desired features and minimizing undesired ones.
  • 🌟 Experiment with different settings like sampler method, CFG scale, and upscaling options to achieve the best image quality.
  • 🔧 The video suggests using high-risk fix with 4X Ultra sharp upscaler for improved image resolution and detail.
  • 🎨 Choose the appropriate CLIP skip and SDVAE settings based on the desired outcome and previous renderings.
  • 📷 Use a balanced denoising strength for upscaling, typically between 0.25 to 0.45, to maintain image quality.
  • 🛠️ Adjust the batch count and batch size according to your computer's processing capabilities for efficient rendering.
  • 🖼️ Explore alternative upscaling methods like 'send to image to image' with detail tweakers for additional refinement.
  • 📈 The Realistic Vision 5.1 model may struggle with rendering perfect hands, so consider rendering multiple versions or manually editing the output.

Q & A

  • What is the purpose of the video tutorial discussed in the transcript?

    -The video tutorial aims to demonstrate how to create professional and realistic photographs using an AI model, specifically Realistic Vision version 5.1. It covers downloading the model, setting it up, and providing tips and tricks for enhancing image quality.

  • What version of the Realistic Vision model is the video focused on?

    -The video focuses on Realistic Vision version 5.1.

  • Where should the Realistic Vision model be downloaded to?

    -The model should be downloaded into the 'models' folder within the 'stable diffusion' folder, located in the 'automatic 1111' directory.

  • What are the suggested steps for improving AI-generated images according to the video?

    -The video suggests reading advice on optimal settings, using positive and negative prompts, downloading specific embeddings for realism, adjusting sampler method and CFG scale, and using high-res fix and upscalers for better image quality.

  • What specific settings are recommended for the CFG scale and denoising strength?

    -For the CFG scale, a range between 3.5 and 7 is recommended, and for denoising strength, a range between 0.25 and 0.45 is suggested.

  • How does the video suggest enhancing the resolution of AI-generated images?

    -The video recommends using a lower initial resolution for faster rendering, followed by an upscale using high-res fix with a 4X Ultra sharp upscaler to enhance the image quality.

  • What is the purpose of using negative prompts and embeddings, as mentioned in the video?

    -Negative prompts and embeddings are used to guide the AI in avoiding undesirable elements in the generated images, improving the realism and quality of the output.

  • How can users customize their user interface in Automatic 1111 according to the video?

    -Users can customize their interface by accessing the 'user interface' settings within Automatic 1111, where they can add quick settings like 'clip stop at last layer' and select values for sdvae from a list.

  • What is the alternative approach for upscaling images mentioned in the video?

    -An alternative upscaling method involves rendering the image at a lower resolution first, then sending it to the image-to-image option with the 'add detailer Laura' for additional detail, and using the SD upscale script with a 4X Ultra sharp upscaler for high-quality results.

  • How does the video address the challenge of generating realistic hands in images?

    -The video acknowledges the difficulty of generating realistic hands with the correct number of fingers and suggests rendering multiple versions or manually editing the image by covering extra fingers with parts of the image to achieve a more realistic look.



🎨 Introduction to AI Photography and Model Setup

This paragraph introduces the viewer to the world of AI photography, specifically focusing on the use of a particular AI model, version 5.1. The speaker shares their favorite model and provides a step-by-step guide on how to download and set up the model in the 'automatic 1111' folder, within the 'models' and 'stable diffusion' subfolders. Optional steps are indicated by orange text, suggesting advanced configurations for better results. The speaker also offers a positive prompt to enhance image quality and suggests using negative prompts and embeddings for specific outcomes. Additional settings such as sampler method, CFG scale, upscaler models, and denoising strength are discussed, along with their respective values for optimal results.


🖼️ Customizing AI Photography Settings and Rendering Options

The second paragraph delves into the customization of AI photography settings, including the choice between batch count and batch size for image rendering, depending on the user's computer and GPU capabilities. The speaker explains how to adjust the CFG scale and utilize the high-risk fix with an upscaler model for improved image quality. The paragraph also explores alternative methods for achieving high-quality images, such as using the 'add detailer Laura' for upscaling without the high-res fix. The speaker shares personal experiences with the AI model's challenges in rendering hands and offers a creative solution by selecting and masking parts of the image to achieve a desired result. The paragraph concludes with a call to action for viewers to share their favorite models and engage with the content.




Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the context of the video, AI is used to create stunning professional photography, demonstrating its capability to enhance creative processes. The script mentions using AI to generate images, indicating the technology's role in transforming traditional photography through intelligent software.

💡Realistic Vision

Realistic Vision is likely a specific AI model or software used for generating realistic images. It is an essential tool for photographers and artists looking to create high-quality, lifelike visuals. The video emphasizes the importance of downloading and using this model to achieve professional-grade results. The term is closely associated with the theme of leveraging technology to enhance creative outputs.


Prompts, in the context of AI and image generation, are inputs or statements that guide the AI to produce specific outputs. They are crucial for directing the AI's creative process and achieving desired results. Positive prompts are those that encourage the AI to focus on particular aspects, while negative prompts help to avoid undesired elements in the generated images. The video provides examples of both, illustrating how they can be used to refine the AI's output.


Embeddings are a critical concept in machine learning and AI, where words or phrases are mapped to vectors of numbers in a way that preserves the semantic meaning. In the context of the video, negative embeddings are used to guide the AI away from generating certain undesirable outcomes, such as 'bad hands' or 'five bad dream.' They are a tool for fine-tuning the AI's performance to align with the creator's vision.

💡Stable Diffusion

Stable Diffusion is a term related to AI models that generate images or other content by learning the patterns and structures from a large dataset. In the video, it is mentioned as part of the file path where the AI model is stored, indicating its role in the image generation process. It is a key component in achieving stable and consistent results from the AI system.

💡CFG Scale

CFG, or Context Free Grammar, Scale refers to a parameter used in AI models that affects the level of detail and structure in the generated images. A higher CFG scale value typically results in more complex and detailed outputs. In the video, the speaker advises on a range for this setting, suggesting that it can be adjusted to achieve different levels of detail in the final images.

💡High-Risk Fix

High-Risk Fix is a term used in the video to describe a feature or method that enhances the quality of AI-generated images, potentially fixing issues that may arise during the image generation process. It is a high-resolution upscaling technique that improves the sharpness and clarity of the images. However, it may come with the risk of over-processing or altering the original intent of the image, hence the term 'high-risk.'


Upscaling refers to the process of increasing the resolution of an image, typically to enhance its detail and clarity. In the context of the video, upscaling is used after the initial image generation to achieve a higher quality result. The speaker provides a range for the upscaling value, indicating that it is a customizable setting that can affect the final output's appearance.

💡Clip Skip

Clip Skip is a term related to AI image generation that refers to a technique used to control the level of detail and the overall style of the generated images. It is a parameter that can be adjusted to achieve different visual effects. In the video, the speaker mentions using Clip Skip in the context of the AI model's settings, suggesting that it is a crucial aspect of fine-tuning the AI's output to match the desired aesthetic.


SDVAE, or Stable Diffusion Variational Autoencoder, is a machine learning model that is used for image generation and manipulation. It is a part of the AI system discussed in the video and is used to add details to the images during the upscaling process. The speaker mentions selecting SDVAE from a list of options, indicating that it is a specific tool within the AI system that can be utilized to enhance image quality.

💡Detail Enhancer

A detail enhancer, as mentioned in the video, is a tool or technique used to improve the clarity and sharpness of specific elements within an image. In the context of AI-generated photography, a detail enhancer like 'Add Detailer Laura' is used to add additional details to the image during the upscaling process, resulting in a more refined and high-quality visual output.


The use of AI in creating stunning professional photography is discussed, showcasing the capabilities of modern technology in the field.

The speaker introduces their favorite AI model, version 5.1, for realistic vision, indicating an advancement in AI technology.

Instructions are provided on downloading and organizing AI models within specific folders for easy access and use.

Optional steps in the process are indicated by orange text, allowing users to customize their experience based on their needs.

A positive prompt is suggested for achieving high-quality results, emphasizing the importance of clear and specific instructions in AI.

Negative prompts are also recommended, showing an understanding of how to guide AI away from undesired outcomes.

The concept of negative embedding is introduced, offering a method to refine AI-generated images further.

Settings for sampler method and scale are discussed, highlighting the technical aspects of AI model configuration.

High-risk fix with 4X Ultra sharp upscaler is mentioned, indicating a method for enhancing image quality.

Denoising strength and upscaling values are detailed, providing insights into the fine-tuning of AI-generated images.

The use of CLIP skip and SDV in the user interface is explained, showcasing additional tools for working with AI models.

The process of selecting and applying settings in the UI is outlined, emphasizing the importance of proper configuration for desired results.

The creation of a prompt for text-to-image generation is detailed, highlighting the role of descriptive language in AI output.

The issue of generating realistic hands with AI is discussed, revealing a challenge in the technology and a need for iterative refinement.

A technique for masking undesired parts of an AI-generated image is described, demonstrating a method for post-processing improvements.

An alternative upscaling method using SD upscale script is presented, offering a solution for balancing quality and GPU usage.

The video concludes with a call to action for viewers, encouraging engagement and interaction within the AI photography community.