ControlNet - Openpose face [TensorArt]
TLDRThis tutorial showcases the capabilities of Tensor Arts and Open Pose for facial pose analysis. The video guides viewers through using Open Pose to capture facial expressions and character poses, enhancing the control over character generation. It demonstrates creating comic-like images of soccer players and singing girls with specific poses, and explores generating ensemble images with multiple characters. The process involves photo editing with Photo Pier and refining the facial maps for precise control over the final images, promising astonishing results for those interested in digital art and AI-generated content.
Takeaways
- 🤖 The video is a tutorial on using Tensor Arts and Control Net for facial pose analysis.
- 📸 OpenPose is utilized to capture facial expressions and character poses from uploaded images.
- 🖼️ The process starts by importing a close-up image of a face and using the Control Net to analyze it.
- 🎨 Users can select different models to render images in various styles, such as cartoon or 3D.
- 🌟 The Control Net allows for precise control over character poses and expressions.
- 📈 The video demonstrates how to optimize the comic-like effect by adjusting settings and using the Control Net.
- 🎶 The creator illustrates the generation of images of a singing girl and the importance of aspect ratio and model selection.
- 👥 Experiments are conducted to create ensemble images with multiple characters using facial OpenPose.
- 🖌️ Photo editing software like Photo Pier is used to modify and align facial maps for creating group images.
- 🔄 The process involves creating a custom facial map and adjusting Tensor Arts settings to fit the new dimensions.
- 🎨 The final goal is to achieve a harmonious group image that represents the individuality of each member.
- 📌 The video encourages viewers to subscribe for more artistic explorations and techniques.
Q & A
What is the main focus of this tutorial?
-The main focus of this tutorial is to explore the use of OpenPose to analyze and understand facial poses within the TensorArt platform.
How does the process of adding a control net begin in TensorArt?
-The process begins by clicking on the 'add control net' button in the TensorArt workspace console.
What change is made to the default OpenPose command in the pre-processor menu?
-The default OpenPose command is changed to 'OpenPose face only' to focus on capturing facial expressions and a portion of the character's pose.
What type of image is imported into the TensorArt platform for facial pose analysis?
-A close-up image of a soccer player's face, captured during a celebratory moment, is imported for facial pose analysis.
How does the tutorial demonstrate the potential of using OpenPose for facial poses?
-The tutorial demonstrates the potential by showing how OpenPose can capture not only the facial expression but also a portion of the character's pose, providing a more detailed analysis.
What model is used to render the soccer player's image in a cartoon style?
-A model named 'Real Cartoon 3D' is used to render the soccer player's image in a cartoon style.
How does the tutorial illustrate the control over generating characters using facial OpenPose?
-The tutorial illustrates this by generating images of a singing girl and using the facial OpenPose to communicate the desired pose and facial expression to the AI, saving time and avoiding repeated image generations.
What is the purpose of using Photo Pier to modify the facial map?
-Photo Pier is used to modify the facial map by adjusting its dimensions, cropping, and aligning multiple faces to create an ensemble image with two or more characters.
How does the control net help in achieving the desired poses in the final images?
-The control net uses the facial pose map to guide the generation process, ensuring that all characters in the final images possess the same defined pose, thus achieving a consistent and desired outcome.
What is the significance of the quartet of singers example in the tutorial?
-The quartet of singers example shows how facial OpenPose can be used to create a group image that represents the individuality of each member while being united in a harmonious composition, demonstrating the potential for creative applications of the technology.
What is the next project that the tutorial promises to explore?
-The next project will explore an intriguing approach to creating group images using Photo Pier and TensorArt, focusing on creating a portrait puzzle composed of individual facial poses.
Outlines
📚 Introduction to Tensor Arts and Open Pose Facial Analysis
The video begins with a warm welcome to the channel and an introduction to the topic of the tutorial, which is using Open Pose to analyze and understand facial poses within Tensor Arts. The host expresses excitement about continuing the learning journey and encourages viewers to catch up on previous videos through the playlist. The lesson starts with a practical demonstration of adding a Control Net to the Tensor Arts workspace and selecting Open Pose to focus on facial recognition. The process involves uploading a close-up image of a face, and the host describes the outcome of the facial expression analysis, including the appearance of black background images with dot representations. The video then transitions to exploring the option of capturing both facial expressions and character poses using Open Pose Face, highlighting the benefits of this feature for future tutorials.
🎨 Enhancing Image Generation with Control Net and Facial Open Pose
This paragraph delves into the practical application of Control Net to achieve desired poses in image generation. The host demonstrates how to use the Control Net to obtain the same pose across multiple images, showcasing the consistency and precision of the technology. The example given involves generating images of singers with a uniform pose, emphasizing the importance of maximizing Tensor Arts' functionalities. The host then illustrates how to create images featuring multiple characters by using the facial open pose to obtain a precise facial map. The process involves editing the map in Photo Pier, adjusting image dimensions, and merging layers to create a quartet of singers. The final result is a visually striking representation of the singers, highlighting the potential of combining Control Net and facial open pose for creative image generation.
🧩 Creating Ensemble Images with Open Pose and Photo Pier
The paragraph focuses on the creation of ensemble images using a combination of Open Pose and Photo Pier. The host begins by using previously configured settings and accesses the Open Pose settings to obtain only the facial map on a black background. The facial map is then edited in Photo Pier, where the host uses the crop tool to customize the image dimensions and create multiple aligned faces. The aim is to create a quartet of singers, and the host works personally with Photo Pier to achieve the desired result. Adjustments are made in Tensor Arts to fit the newly created map into the allowed dimensions, and the final image is generated with enhanced resolution. The paragraph concludes with a teaser for an upcoming project that involves creating a portrait puzzle using Photo Pier and Tensor Arts, promising a unique and creative approach to group image creation.
🌟 Conclusion and Future Creative Projects
The video concludes with a summary of the creative process and the astounding results achieved using Tensor Arts and Open Pose. The host expresses enthusiasm for the potential of these technologies to explore new creative avenues and produce astonishing results. The audience is invited to subscribe to the YouTube channel for updates on future artistic adventures and to be part of the community. The host thanks the viewers for their attention and participation, highlighting the collaborative and innovative spirit of the channel.
Mindmap
Keywords
💡Tensor Arts
💡Open Pose
💡Control Net
💡Facial Pose
💡Cartoon Style
💡Photo Pier
💡Portrait Puzzle
💡Artificial Intelligence
💡Image Generation
💡Facial Expressions
💡Character's Pose
Highlights
The tutorial focuses on using tensor Arts and control net to analyze and understand facial poses.
The video is a continuation of a learning journey exploring captivating topics in technology.
Open pose is utilized for facial pose analysis, offering a new perspective on character generation.
A close-up image of a soccer player's face is used to demonstrate the open pose facial analysis.
The pre-processor setting is changed to 'open pose face only' for a more detailed facial expression capture.
A cartoon style model is selected to render the soccer player's image, showcasing the versatility of tensor Arts.
The control net is used to achieve a consistent pose across multiple generated images.
Facial open pose helps in communicating both the desired pose and facial expression to the AI.
An example is given on how to generate images of a singing girl, emphasizing the use of prompts and settings.
The control net allows for precise control over character poses, as demonstrated with the singing images.
The tutorial explores creating ensemble images with multiple characters using facial open pose.
Photo Pier is used to modify the facial map, expanding the possibilities for image customization.
A quartet of singers is created by aligning and adjusting multiple facial maps in Photo Pier.
The control net parameter is adjusted to fit the newly created map into the allowed dimensions.
The final result showcases the potential of using control net for precise character generation.
The upcoming project involves creating a portrait puzzle using Photo Pier and tensor art.
Facial pose maps extracted from the portrait puzzle will guide the generation of the final group image.
The tutorial concludes by highlighting the creative potential of combining tensor Arts with other tools.