ControlNet - Openpose [TensorArt]

This video tutorial introduces ControlNet, a set of tools within TensorArt that revolutionizes image creation through AI, offering users precise control over character poses, facial expressions, and hand movements. The tutorial focuses on OpenPose, a tool that allows for the manipulation of a character's body posture while preserving their unique features. The process involves selecting poses from a carousel, generating images, and refining them for accuracy. External tools like openpose.com and openpozeye.com are highlighted for their ability to enhance the pose creation process, with the latter providing a 3D interface for pose manipulation. The video also mentions that ControlNet is not yet compatible with SDXL models but encourages viewers to explore and experiment with the technology for creating realistic and engaging images.

Takeaways

• 🖼️ ControlNet is a set of tools designed to provide users with high control over image creation through artificial intelligence.
• 🤖 OpenPose is a versatile tool that allows manipulation of a character's body posture while preserving their unique features.
• 📸 The process involves selecting predefined poses and generating images that reflect the chosen pose with high accuracy.
• 🔄 Users can experiment with different poses and make adjustments to achieve the desired results.
• 🌐 Openpose.com provides a variety of predefined poses that can be used directly in TensorArt.
• 📐 OpenPose Eye is a 3D graphics tool that allows for the manipulation of pose nodes and viewing them in a three-dimensional space.
• 🎨 ControlNet offers the ability to adjust poses with external tools, enhancing the creative process and the realism of generated images.
• 🚫 ControlNet is currently not active with SDXL check models, which are an evolution of check models with hyper-realism.
• 🔄 OpenPose Eye enables random pose generation and pose detection from existing images for added flexibility.
• 📐 The 3D environment of OpenPose Eye allows for camera movement to capture unique images from different angles.
• 📚 Subscribing to the channel provides access to further video tutorials exploring the capabilities of ControlNet.

Q & A

What is ControlNet and how does it relate to image creation through artificial intelligence?

ControlNet is a revolutionary set of tools and commands designed to provide users with unprecedented control in the field of image creation through artificial intelligence. It allows users to precisely manage poses, facial expressions, and hand movements.

How does the OpenPose tool function within the TensorArt platform?

OpenPose is a versatile tool within TensorArt that allows creators to manipulate a character's body posture while preserving the character's distinct physiognomy. It enables precise adjustment of a character's pose, bringing their artistic vision to life without compromising the character's unique features.

What is the process of selecting and generating a pose using ControlNet?

The process starts with opening the command screen and locating the ControlNet button. After clicking on it, a new screen called 'Select Control Net' opens, which hosts an array of tools. The user selects the OpenPose command from the list, chooses a predefined pose from the carousel-like display, and then presses the generate button to commence the image generation process.

How can external tools like openpose.com enhance the work with ControlNet?

External tools like openpose.com provide a variety of predefined poses ready for use. Users can download pose images to their computer and upload them to TensorArt's OpenPose using the control image button. This allows for further experimentation with various poses and appreciation of their flexibility and accuracy.

What is the role of the OpenPose interface mask in the process?

The OpenPose interface mask allows users to select a default pose from the image carousel and navigate between poses using the mouse cursor or keyboard arrow keys. It also includes buttons for loading the original image for key point detection and the pose image for generating the character's pose.

How does the openpozeye.com tool contribute to creating realistic poses?

Openpozeye.com is a 3D graphics tool that allows users to manipulate pose nodes and view them in a three-dimensional space. It provides an intuitive interface for interacting with the model, enabling users to adjust the position of nodes in three possible directions in space to fine-tune every detail of the pose.

What are the steps to generate an image of a pose using openpozeye.com?

After manipulating the nodes and rotation handles to achieve the desired pose, users lock the view using the appropriate command. They then have the option to generate the image by clicking on the blue button labeled 'command' or the play button at the bottom of the viewer. The first image with a black background is the one of interest, which can be downloaded by clicking on it.

How does ControlNet handle errors or imperfections in the generated image?

If the initial result has minor imperfections, such as a ball suspended in the air, users can restart the process. The second generation often achieves a result that perfectly matches the chosen pose, showcasing the power of ControlNet in offering accurate and intuitive control.

Why is the ControlNet button disabled with certain model types?

The ControlNet button is currently not active with SDXL check models, which represent an evolution of check models providing impressive hyper-realism to generated images. A notification informs users that the feature is coming soon for SDXL.

What additional features does working in a 3D environment offer for pose composition?

Working in a 3D environment allows users to move the camera and change the viewpoint to capture unique images from different angles, adding further depth and variety to the pose composition process.

How can users explore more poses and experiment with ControlNet?

Users can explore more poses by using the 'set random pose' option on openposeeye.com, which generates a series of random poses every time it is clicked. They can also capture a pose from an existing image by using the 'detect from image' feature, which assumes the same pose as the character in the selected image.

What is the importance of subscribing to the channel for users interested in ControlNet?

Subscribing to the channel ensures that users do not miss the next video tutorials that will further explore the incredible technology of ControlNet, providing more insights and helping them to achieve increasingly extraordinary results.

Outlines

00:00

🎨 Introduction to Control Net and Open Pose

This paragraph introduces the audience to Control Net, a set of tools and commands that offer users high levels of control over image creation using AI, particularly in managing character poses, facial expressions, and hand movements. The tutorial focuses on character poses and presents Open Pose, a tool that allows for the manipulation of a character's body posture while maintaining their unique features. The process of using Control Net and Open Pose is demonstrated using a basketball player's full body image, showcasing how to select and generate poses, and the ability to refine and adjust poses with external tools for more accurate results.

05:00

🤖 Exploring OpenPose.com and OpenPoseEye.com

The second paragraph delves into external tools that enhance the creation of poses with Control Net. OpenPose.com is introduced as a resource for predefined poses that can be easily downloaded and used in Tensor Art's Open Pose. OpenPoseEye.com is highlighted as a 3D graphics tool that allows for the manipulation of pose nodes in a three-dimensional space, providing an intuitive interface for fine-tuning character poses. The paragraph demonstrates how to use these tools to create a realistic slam dunk pose for a basketball player, emphasizing the flexibility and accuracy of the tools in achieving the desired result. It also mentions that Control Net is not yet active with SDXL models but encourages further exploration and experimentation with the tools.

10:00

📸 Capturing Unique Angles with 3D Environment

The final paragraph discusses the additional feature of working in a 3D environment, which allows for the movement of the camera to capture unique images from different angles. The video script outlines how to capture top-down, bottom-to-top, and side view images, adding depth and variety to the pose composition process. The paragraph concludes with an encouragement to subscribe for further video tutorials exploring Control Net technology and thanks the audience for their attention.

Keywords

ControlNet

ControlNet is a set of tools and commands that provides users with advanced control over image creation through artificial intelligence. It allows for precise management of poses, facial expressions, and hand movements, which is central to the video's theme of character pose manipulation. In the script, ControlNet is introduced as a revolutionary tool that enhances the capabilities of image generation.

OpenPose

OpenPose is a versatile tool that allows users to manipulate a character's body posture while preserving the character's unique physiognomy. It is likened to a user-controlled puppet, enabling creators to adjust a character's pose with precision. In the video, OpenPose is used to demonstrate how ControlNet can generate images with accurate poses, as seen when selecting and generating a dynamic running pose of a basketball player.

TensorArt

TensorArt is the platform where the features of ControlNet and OpenPose are utilized. It is the environment in which users can access and operate the tools to create and manipulate poses and expressions of characters. The script illustrates the process of using TensorArt by opening a full body image of a basketball player and applying ControlNet features to it.

Key Point Detection

Key Point Detection is a technology that allows the extraction of a character's pose from an image. It is a fundamental process in the use of OpenPose, where the program identifies specific points on the character's body to generate a pose. The script refers to this when discussing how to load an image of a character and extract the pose for further manipulation.

Pose Generation

Pose Generation is the process of creating a character's pose using the tools provided by ControlNet and OpenPose. It involves selecting a predefined pose or manually adjusting the character's posture to achieve a desired look. The script demonstrates this process by showing how to select a pose from a carousel and generate an image that reflects the chosen pose.

Image Carousel

An Image Carousel is a user interface element that displays a series of images in a continuous loop, allowing users to scroll through and select a specific image. In the context of the video, the Image Carousel presents predefined poses for users to choose from within the OpenPose tool. The script describes how users can select a desired pose from the Image Carousel to apply to their character.

External Tools

External Tools refer to additional software or websites that can be used in conjunction with ControlNet and TensorArt to enhance the image creation process. The script mentions openpose.com and openpozeye.com as examples of external tools that provide predefined poses and 3D graphics manipulation, respectively, to further refine and customize character poses.

3D Graphics Manipulation

3D Graphics Manipulation involves the use of software to adjust and manipulate graphical objects in three-dimensional space. In the video, this concept is demonstrated through the use of openpozeye.com, which allows users to interact with a model in 3D, adjusting pose nodes and rotation handles to create realistic and dynamic poses. The script illustrates this by showing how to fine-tune a basketball player's slam dunk pose in a 3D environment.

Anime Style

Anime Style refers to the artistic style characteristic of Japanese animation, which often includes distinct features such as large eyes, colorful hair, and exaggerated expressions. The script mentions creating an anime style character with a selected pose, indicating that ControlNet and TensorArt can be used to generate images in various artistic styles, including the popular anime style.

Viewpoint

Viewpoint in the context of the video refers to the angle or perspective from which an image is captured. The script discusses the ability to change the camera viewpoint in a 3D environment to obtain unique images from different angles, adding depth and variety to the pose composition process. This feature is showcased when the video demonstrates capturing images from a top-down, bottom-to-top, and side view.

Sdxl Check Models

Sdxl Check Models are mentioned as an evolution of check models that provide hyper-realism to generated images. However, the script notes that ControlNet is not yet active with Sdxl Check Models, indicating that there is ongoing development and future integration planned. This suggests that the capabilities of ControlNet and the level of realism in image generation will continue to improve.

Highlights

ControlNet is a revolutionary set of tools designed to provide unprecedented control in the field of image creation through artificial intelligence.

Users can precisely manage poses, facial expressions, and hand movements with ControlNet.

OpenPose is a versatile tool that allows manipulation of a character's body posture while preserving their unique features.

The technology enables creators to adjust a character's pose with precision, bringing their artistic vision to life.

ControlNet's procedure starts with opening the command screen and selecting the OpenPose command.

A range of predefined poses are available in a carousel-like display for users to choose from.

The generation process creates an image that faithfully reflects the chosen pose, showcasing the power of ControlNet.

External tools like openpose.com provide a variety of predefined poses ready for use.

OpenPose Eye is a 3D graphics tool that allows manipulation of pose nodes and viewing them in a three-dimensional space.

With OpenPose Eye, users can interact with the model in astonishing ways to fine-tune every detail of a pose.

ControlNet parameters can be adjusted to create an anime-style character with a selected pose.

The 3D environment in OpenPose Eye offers the ability to move the camera and capture unique images from different angles.

ControlNet is not yet active with SDXL check models, which are an evolution providing hyper-realism to generated images.

OpenPose Eye can generate a series of random poses with a single click.

Users can also capture a pose from an existing image using the 'Detect from Image' feature on OpenPose Eye.

The video tutorial provides a comprehensive overview of how to utilize ControlNet and its associated tools.

Subscribers can look forward to more video tutorials exploring the full potential of ControlNet.