NEW ControlNet for Stable diffusion RELEASED! THIS IS MIND BLOWING!

Sebastian Kamph
15 Feb 202311:04

TLDRThe video introduces an innovative AI tool from Hugging Face that transforms images while retaining their composition and pose. It guides users through downloading necessary models, installing extensions, and using the tool to convert sketches into detailed images with various styles. The demonstration showcases the tool's potential for both amateur and professional artists, emphasizing its game-changing impact on AI-generated art.


  • ๐ŸŽจ The introduction of a new AI tool in the art industry is showcased, promising significant changes.
  • ๐Ÿ–ผ๏ธ The tool allows users to transform images while maintaining the same composition or pose through various models.
  • ๐Ÿ”— Hugging Face is recommended as a starting point due to its extensive collection of models.
  • ๐Ÿ“‚ Users are guided through downloading and installing necessary prerequisites like OpenCV and DASH Python.
  • ๐Ÿ› ๏ธ The process involves installing extensions and models via command prompt and GitHub links.
  • ๐Ÿ–Œ๏ธ The script demonstrates the use of specific models like Canny, Depth Map, Open Pose, and Scribble for different artistic effects.
  • ๐ŸŒŸ The Control Net feature is highlighted for its ability to provide fine control over the final image, catering to both amateur and professional users.
  • ๐ŸŽญ Examples are given to illustrate how a pencil sketch can be transformed into a detailed, colored image with the same pose.
  • ๐Ÿ”„ The script emphasizes the importance of using the same pre-processor as the model for optimal results.
  • ๐Ÿ“Š The weight parameter is discussed, explaining its impact on the balance between stylistic and realistic outputs.
  • ๐Ÿ’ก The video script concludes by encouraging viewers to experiment with the new tool and explore its potential in various AI art applications.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is about an AI tool for transforming images while maintaining the same composition or pose, using various models from Hugging Face and Stable Fusion.

  • Which models are recommended to start with according to the video?

    -The video recommends starting with the Canny, Depth Map, Midas, and Scribble models for their versatility and ease of use.

  • How can one download the necessary files for the AI tool?

    -The files can be downloaded from Hugging Face, and specific models like ControlNet can be installed from its GitHub URL through the Stable Fusion extensions tab.

  • What is the purpose of the command prompt in this process?

    -The command prompt is used to install prerequisites for the AI tool, such as OpenCV and Dash Python, by typing 'pip install opencv dash python'.

  • How does the Stable Fusion web UI work with the installed models?

    -After installing the models, they need to be moved to the Stable Fusion web UI folder under 'extensions web UI control net models' to be integrated into the system.

  • What is the role of the 'weight' value in the AI transformation process?

    -The 'weight' value determines how much the final image will change from the input. A lower weight will result in a more stylistic output, while a higher weight will keep the image closer to the original.

  • How does the Control Net work in the AI tool?

    -Control Net analyzes the input image, understands its composition and pose, and then recreates it in the style or setting specified by the user, maintaining the original structure.

  • What is the significance of the 'scribble mode' in the AI tool?

    -Scribble mode allows users to draw a rough sketch of the desired image, and the AI tool will then transform that sketch into a more detailed and realistic image.

  • How can users experiment with the AI tool?

    -Users can experiment with different models, weights, and input images to see which combination works best for their desired output. They can also try various features like texture image and image to image transformations.

  • What is the potential impact of this AI tool on both average users and professionals?

    -The AI tool has the potential to revolutionize how images are created and edited, offering users unprecedented control over the final output. This can greatly benefit both hobbyists and professionals in the field of art and design.

  • What is the advice given in the video for users with low VRAM?

    -For users with low VRAM (8 gigs or below), the video suggests enabling the 'low vram' option in Stable Fusion to optimize performance while using the AI tool.



๐ŸŽจ Introduction to AI Art Transformation

The paragraph introduces the viewer to a groundbreaking advancement in AI art, promising a significant change in the field. The speaker guides the audience through the process of transforming an image while maintaining its composition and pose, using various AI models. The first step involves downloading necessary files from Hugging Face, recommending specific models such as Control, Canny, Depth Map, Midas, Open Pose, and Scribble. The instructions continue with setting up the environment by installing prerequisites and installing extensions for Stable Fusion, a platform for AI art creation.


๐Ÿ–Œ๏ธ Exploring Control Net Models and Settings

This section delves into the specifics of using Control Net models within Stable Fusion. The speaker explains how to generate an image using a pencil sketch of a ballerina and transform it into various styles, such as a colorful space nebula. The importance of selecting the right model and pre-processor is emphasized, along with the impact of the weight value on the stylistic results. The paragraph also discusses the use of different models like Candy and Scribble for creating artistic interpretations while maintaining the original pose of the input image.


๐Ÿค– Experimenting with AI Art Tools

The final paragraph showcases further experimentation with AI art tools, focusing on the use of Control Net with different models such as Depth Map and Open Pose. The speaker demonstrates how these models can analyze and recreate the pose of an image, and how the denoising strength affects the transformation. The paragraph also highlights the creative potential of using Scribble mode for generating images from simple sketches, as illustrated by the example of creating a penguin sketch and seeing how the AI interprets and completes it.




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 generate art by transforming images and sketches into more complex and detailed representations, demonstrating its capability to enhance and alter visual content.

๐Ÿ’กHugging Face

Hugging Face is an open-source platform that provides a wide range of AI models, including those for natural language processing and computer vision tasks. In the video, Hugging Face is mentioned as the starting point for downloading the necessary AI models to perform image transformations and generate art.

๐Ÿ’กStable Fusion

Stable Fusion is a web-based application that utilizes AI models for image generation and manipulation. It allows users to upload images and apply various AI models to create new visual content. In the video, Stable Fusion serves as the platform where the AI models are used to generate art based on user input.

๐Ÿ’กControl Net

Control Net is a feature or model within AI art generation tools that allows for more precise control over the output by analyzing and maintaining specific aspects of the input image, such as composition, pose, or style. In the video, Control Net is used to ensure that the generated images retain the same pose and composition as the original sketches.


A preprocessor in the context of AI and image processing is a tool or function that prepares the input data before it is passed to the main model for processing. This can include resizing, normalizing, or enhancing the input to optimize the output. In the video, preprocessors like Candy and Midas are used to prepare the input images for the AI models.

๐Ÿ’กPose Analysis

Pose analysis involves the process of detecting and understanding the posture or position of objects or people within an image. In the context of the video, pose analysis is used by the AI to recognize and replicate the pose of a character from the input image, ensuring that the generated art maintains the same pose.

๐Ÿ’กDepth Map

A depth map is a visual representation that encodes the depth or distance information of objects within a scene. It is used in computer graphics and AI to create a sense of depth and three-dimensionality in images. In the video, the Depth Map model is used to generate an image with a sense of depth, enhancing the realism of the AI-generated art.


In the context of AI models, weight refers to the influence or importance given to a particular input or parameter when generating an output. Adjusting the weight can control the degree of transformation or stylization applied to the input image. In the video, the weight value is adjusted to balance between the original image and the desired artistic style.

๐Ÿ’กStable Diffusion

Stable Diffusion is a term that likely refers to a stable version of a diffusion model, which is a type of generative AI model used for image synthesis and manipulation. These models can generate new images or modify existing ones by learning from a dataset of images. In the video, Stable Diffusion might be the underlying technology that powers the image transformations and art generation.

๐Ÿ’กDenoising Strength

Denoising Strength is a parameter used in AI models that affects the degree to which the model reduces noise or unwanted elements in the generated image. A higher denoising strength results in more significant changes to the input, while a lower value preserves more of the original input's details. In the video, denoising strength is set to 0.85 to find a balance between maintaining the input image's essence and introducing artistic changes.


Experimentation in the context of the video refers to the process of trying out different settings, models, and inputs to see how they affect the output of the AI art generation. It is an essential part of exploring and understanding the capabilities of AI in creating art, as it allows users to discover new possibilities and refine their techniques.


Introduction to a revolutionary change in AI and art, promising a non-clickbait, amazing transformation.

The demonstration starts with Hugging Face, emphasizing the large file sizes and variety of models available for use.

Recommendation to start with specific models - Canny, Depth Map, Midas, and Scribble - for their versatility and ease of use.

Instructions on downloading necessary prerequisites using command prompt and pip install commands.

Details on installing extensions and integrating models into the Stable Fusion web UI for easy access and use.

Explanation of the process to move downloaded models into the correct folder for use in Stable Fusion.

Demonstration of text-to-image and image-to-image functionalities to generate a starting image, showcasing the potential for personal creativity.

Use of Control Net to maintain the same composition or pose while transforming the image, providing a high level of control over the final output.

Description of the different model variations and their unique outputs, such as the Candy model producing a sketch-like result.

Explanation of the Pose model's ability to analyze and recreate poses from an image, maintaining the original pose in the transformed output.

Discussion on the Depth Map model's capability to create a detailed outline and tone from an image, enhancing the visual quality.

Demonstration of the Scribble mode, which allows for more stylistic and artistic input from the user, with examples of creating a penguin sketch.

Explanation of the weight value's impact on the stylistic results, with recommendations for finding a balance between image resemblance and style.

Highlighting the game-changing potential of Control Net for both average users and professionals, offering complete control over the final image.

Encouragement to experiment with different models and methods in Stable Fusion, emphasizing the exploration and learning process.

Conclusion that summarizes the innovative and practical applications of the AI art tools, and an invitation to explore more content on AI, Stable Fusion, and related topics.