WOW! NEW ControlNet feature DESTROYS competition!
TLDRThe video introduces a groundbreaking update to stable fusion and control net technology, enabling users to input an image and generate new images with varied expressions and poses while maintaining the original face style. The update showcases impressive results, though acknowledges ongoing work to address blurring and collapsing issues. The power of multi-controllet is demonstrated, suggesting a significant advancement in control net capabilities.
Takeaways
- 🚀 A game-changing update has been introduced for stable fusion and control net technology.
- 📷 The update allows users to input an image and maintain the same facial style while manipulating expressions and poses.
- 🎨 The technology demonstrated can make a person laugh, cry, or appear angry in a controlled manner through the use of control nets.
- 🔄 Users are advised to ensure they have the latest version of the software, specifically version 1.1.162 or later for optimal use.
- 🔧 Updates can be checked and applied through the extensions menu or by using the command 'git pull' in the stable Fusion folder.
- 🌟 The new control net 'reference only' preprocessor is highlighted as a significant addition.
- 🖼️ The demonstration showcased the ability to transform an image of a woman smiling with various styles and poses while keeping her likeness intact.
- 🔄 Changing control modes from 'balance' to 'my prompt is more important' or 'control net is more important' can help overcome image blurring or collapsing issues.
- 🌐 The script mentions an ongoing issue with blurring and collapsing that the developers are actively working to resolve.
- 📈 The technology is continuously improving, with the potential to produce even more realistic and accurate results in the near future.
Q & A
What is the main topic of the video?
-The main topic of the video is an update to stable fusion and control net technology, which allows users to input an image and generate new images with the same facial features in different poses and expressions.
What is the significance of the update mentioned in the video?
-The update is significant because it introduces a game-changing control net preprocessor that enhances the ability to manipulate and generate images with specific facial features and expressions, without the need for other tools like DreamBooth or LoRa.
What version of stable diffusion does the video refer to?
-The video refers to version 1.1.162 of stable diffusion, but it also mentions that as long as the user has an updated version beyond that, they should be fine.
How can users ensure they have the latest version of the software?
-Users can ensure they have the latest version by checking for updates through the extensions menu in Crystal, applying and restarting the UI, or by using the command 'git pull' in the stable Fusion folder to update automatically.
How does the control net preprocessor work?
-The control net preprocessor works by enabling the control net feature, setting the preprocessor to 'reference only', and adding an image. It then generates images with the same facial features as the input image, but with different poses and expressions as specified by the user.
What are some limitations mentioned in the video regarding the control net technology?
-The video mentions that while the control net technology is powerful, it is still being improved upon, particularly in addressing issues like blurring, collapsing, and ensuring the generated images more accurately resemble the input person.
How can users adjust the control mode to improve image quality?
-Users can adjust the control mode from 'balance' to either 'my prompt is more important' or 'control net is more important' to get around some of the issues like blurring or collapsing, and to better match the desired style or expression.
What is the potential of multi-controllet in the video's context?
-The potential of multi-controllet is that it allows users to combine different control inputs, such as pose and expression, to create more complex and varied images that closely match the desired output.
How does the video demonstrate the versatility of the control net technology?
-The video demonstrates the versatility of the control net technology by showing how it can be used to create images of a woman smiling, crying, and in different poses, as well as applying the technology to an old man with different expressions, all by adjusting the control inputs.
What is the expected future development for the control net technology mentioned in the video?
-The expected future development for the control net technology is continuous improvement through bug fixes and updates, which should enhance its capabilities and address the current limitations, making it an even more powerful tool for image generation.
Outlines
🚀 Introducing Game-Changing Stable Fusion and Control Net Update
The paragraph introduces a significant update to stable fusion and control net technology, which allows users to input an image and maintain the same facial style while manipulating the subject's pose and expressions. The speaker emphasizes that this is not clickbait and proceeds to explain the necessity of having the latest version (1.1.162) for the software to function correctly. The process of updating the software is detailed, including using extensions and checking for updates. The introduction of a new control net preprocessor, 'reference only', is highlighted as a game-changer, and a demonstration is provided, showcasing the ability to transform an image of a woman smiling through the use of control net. Despite some ongoing issues with image quality, the technology's potential is evident, and the speaker expresses optimism for future improvements and bug fixes.
🎨 Advanced Control Net Techniques and Image Manipulation
This paragraph delves deeper into the capabilities of the control net technology, demonstrating how it can be used to manipulate images in various ways. The speaker shows how changing the control mode can improve the output of the images, maintaining the original style and facial expressions while altering other aspects. A test with a different image, an old man, is conducted to show the versatility of the control net. The speaker also discusses the importance of the prompt in conjunction with the image input and the potential for creating photorealistic images. The paragraph concludes with the speaker's intention to continue exploring and sharing updates on the technology, expressing excitement about its potential for creating amazing images for both experienced users and beginners.
Mindmap
Keywords
💡Stable Fusion
💡Control Net
💡Preprocessor
💡Update
💡Extensions
💡Git Pull
💡Dream Booth
💡Styles
💡Multi-Controllet
💡Pose
💡GitHub
Highlights
Introduction to a game-changing update in stable fusion and control net technology.
The ability to input an image and maintain the same facial style in various expressions and poses.
The update is not clickbait and is truly mind-blowing according to the speaker.
A book incident used as a humorous segue to discuss the stable fusion software.
Instructions on ensuring the latest version of stable diffusion for optimal use.
The importance of updating extensions and checking for the latest version.
A brief explanation of how to update the stable Fusion folder using git pull.
Introduction to the new control net preprocessor, 'reference only'.
Demonstration of changing an image's expression to a woman smiling using the new control net.
The use of control arrow up to wait for the image processing.
Results shown on screen with women similar to the input image, showcasing the technology's capability.
Discussion on the ongoing improvements to address blurring and collapsing issues.
Adjusting control modes to overcome issues and achieve the desired image results.
Additional demonstration using a different pose and expression, showing versatility.
The capability to combine control net with other tools for enhanced results.
A quick test with an old man image, changing the expression to angry and noting the style differences.
The importance of both the input image and the prompt in achieving the desired output.
The potential of control nets as a powerful tool for both experienced and new users.
Anticipation for future improvements and bug fixes to the technology.