【Stable Diffusion】ControlNet 構図・ポーズをキメる【動画で学ぶプログラミング講座】
TLDRThe video script discusses the process of using Stable Fusion for creating images with specific poses and compositions. It guides viewers on how to install and utilize ControlNet and OpenPose Editor extensions, as well as how to download and apply models like OpenPose and Canny for more detailed image generation. The content creator shares their experience with various features, demonstrating how to produce images with consistent poses and how to modify them using different prompts and situations. The video also touches on the rapid evolution of AI in image creation and encourages viewers to explore and experiment with these tools.
Takeaways
- 🎥 The video discusses the use of Stable Bolt Fusion for creating images, with a focus on using a table format for easier extension and composition.
- 📌 The presenter has noticed increased interest in their channel related to Stable Bolt Fusion and plans to continue exploring its capabilities.
- 🔧 The video assumes that viewers have Stable Bolt Fusion installed and provides instructions for those who haven't.
- 🔗 Instructions for installing Control Net and Open Pose Editor are given, with a URL provided in the video description for reference.
- 🖼️ Control Net allows for more detailed control over the composition and pose of generated images, with various methods of instruction available.
- 🔍 There are around 14 different ways to specify instructions in Control Net, though not all are fully understood by the presenter.
- 📦 The video guides viewers through the installation of Control Net and Open Pose Editor, as well as downloading specific models for use with Control Net.
- 🌟 Demonstrations of using Control Net with different prompts and poses are provided, showing how it can generate images with specific stances and compositions.
- 🎨 The presenter experiments with various poses and situations, including creating images with a 'Macho Man' pose and a 'Chariots' theme.
- 🛠️ Control Net can also generate stick figures based on the poses of images provided, which can then be used as a base for creating new images.
- 📈 The video highlights the rapid evolution of AI and image generation tools, with frequent updates and new features being added.
- 🚀 The presenter expresses a sense of urgency, encouraging viewers to explore and utilize these tools while they are still accessible and relatively new.
Q & A
What is the main topic of the video?
-The main topic of the video is about using Stable Bolt Fusion (stabledフュージョン) for creating images with specific poses and compositions by utilizing Control Net (コントロールネット).
What is the purpose of Control Net in Stable Bolt Fusion?
-Control Net allows users to specify poses and compositions to a certain extent, making it easier to generate images with desired setups.
How can one install Control Net for Stable Bolt Fusion?
-To install Control Net, users can either follow a link provided in the video description or search for 'SD AVI Control Net' within the Extensions tab in Stable Bolt Fusion and press the Install button.
Which models are used with Control Net in this video?
-The video uses two models with Control Net: Open Pose and Canny, which can be downloaded from a specified website and placed in the 'Extensions/SDWEBUI/Control Net Models' folder.
How does the video creator suggest using Control Net?
-The video creator suggests using Control Net to specify poses and generate images with consistent structures, allowing for the mass production of images in the same pose.
What is the significance of the pose collection used in the video?
-The pose collection, named 'Z Pose Fighting Style 1', contains a variety of fighting poses that can be used to create dynamic and action-oriented images.
How can users change the background or situation in the generated images?
-Users can add situational prompts, such as 'at the beach', to change the background and context of the generated images, creating a more immersive and story-driven visual.
What is the role of the Open Pose Editor in the process?
-The Open Pose Editor allows users to load images and automatically generate stick figures based on the poses in the images, which can then be used as a base for creating new images with the same pose.
How does the Canny model work in conjunction with Control Net?
-The Canny model, when used in the processor, extracts contour lines from the images. These contour lines can then be used as a base to create new images with the same composition and pose, but with different visual elements like hair color or clothing.
What is the video creator's perspective on the rapid development and changes in the AI image generation field?
-The video creator feels that the field is evolving very quickly, with frequent updates and new features being added. They express a sense of awe and the need to keep up with the pace of these changes.
What advice does the video creator give to those interested in using Stable Bolt Fusion and Control Net?
-The video creator encourages interested individuals to start using these tools as soon as possible, as the field is rapidly evolving and there is a potential for significant changes and advancements in the near future.
Outlines
🎥 Introduction to Stable Fusion and ControlNet
The video begins with the creator discussing the popularity of their previous video on Stable Bolt Fusion and the interest from viewers. They express a desire to continue exploring the topic and introduce the concept of ControlNet, an extension that facilitates easier pose determination and composition creation within the Stable Fusion environment. The creator provides instructions for those who have not yet installed Stable Fusion and ControlNet, directing them to a video and providing a URL for installation instructions.
🛠️ Installation and Setup of ControlNet
The creator delves into the specifics of installing ControlNet, including the necessary models and extensions. They guide the viewer through the process of downloading and installing ControlNet and OpenPose Editor, emphasizing the importance of the Stable Diffusion Extensions tab. The video then demonstrates how to access and utilize the ControlNet models, such as OpenPose and Canny, and integrate them into the Stable Fusion workflow.
🎨 Applying ControlNet to Generate Images
The video showcases the practical application of ControlNet in generating images with specified poses and compositions. The creator demonstrates how to use ControlNet to create images with a consistent pose, adjusting the image size and pose to achieve the desired result. They also explore the use of different prompts and situations to generate varied images while maintaining the same pose structure.
🖌️ Advanced Usage of OpenPose and Canny Models
The creator discusses the advanced features of OpenPose and Canny models within ControlNet. They explain how to use these models to create images with detailed outlines and how to incorporate them into the image generation process. The video also touches on the potential for creating images with various situations and backgrounds, highlighting the flexibility and creativity offered by these tools.
🚀 Reflections on AI Art and Future Plans
In the concluding segment, the creator reflects on the rapid advancements in AI art and the changing landscape of the field. They discuss the updates to ControlNet and other AI tools, as well as the shift towards paid services for certain functionalities. The creator expresses their intention to continue exploring and using Stable Fusion, encouraging viewers to try out the tools and keep up with the evolving world of AI art.
Mindmap
Keywords
💡Stable Bolt Fusion
💡Control Net
💡Open Pose
💡Canny
💡Installation
💡Pose Specification
💡Image Generation
💡AI Art Creation
💡Table Fusion
💡Extensions
💡Stable Diffusion
Highlights
Introduction to advanced table fusion techniques for enhancing poses and compositions in images.
ControlNet extension allows for specific pose and composition generation within Stable Diffusion.
14 different ways to specify drawings for Stable Diffusion through ControlNet.
Installation guide for ControlNet and OpenPose Editor for enhancing Stable Diffusion.
Downloading and using specific models like OpenPose and Canny for ControlNet.
Using ControlNet to specify poses in images generated by Stable Diffusion.
Demonstration of generating an image of a girl in a specified pose using ControlNet.
Introduction to using OpenPose Editor for creating stick figure poses.
Creating custom poses using the OpenPose Editor and generating images based on them.
Using pre-made pose collections for generating images with specific poses.
Adjusting image prompts to change scenarios and compositions, such as adding backgrounds.
Canny model for generating images based on contour lines.
Generating images with specific hairstyles and dress colors using prompts.
Reflection on the rapid pace of advancements in AI and Stable Diffusion features.
Plans to explore video generation in Stable Diffusion in future tutorials.
