『Reference Only』で“同じ顔”や”同じキャラクター”をキープできる。凄すぎるControlNetの新機能

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16 May 202309:17

TLDRThe video introduces the 'Reference Only' feature of controlnet, a technology that allows users to adjust elements in an image while maintaining the same character or face. By using this feature, one can create variations in mood and background, generate cartoons and animations, and even frame-by-frame GIFs. The video demonstrates how to use 'Reference Only' in conjunction with different models and prompts, showcasing its versatility in creating detailed and accurate depictions, as well as its potential for use in animations and live-action image adjustments.

Takeaways

  • 🎨 Introducing 'Reference Only' feature in controlnet for image manipulation.
  • 🖼️ Easily adjust elements while keeping the same character or person in the image.
  • 📌 Follow the tutorial: Drop a reference image, check 'Enable' and 'Pixel Perfect', and select 'Reference Only'.
  • 🔄 Update controlnet if 'Reference Only' is not visible in the Preprocessor section.
  • 🐕 Generate images with variations in mood and background while maintaining character similarity.
  • 🔄 Change 'Modes' from 'Control Mode' to prioritize the prompt for more accurate results.
  • 🎭 Versatile use of controlnet for creating cartoons, animations, and GIF movies.
  • 🔍 Explore 'XYZ Plot' feature for generating varied images across different models.
  • 👩 Test compatibility with illustrative images and adjust settings for optimal results.
  • 💁‍♀️ Modify character attributes like hair color and gestures while retaining the original face.
  • 👗 Experiment with changing clothing and poses while keeping the character's face consistent.
  • 🔗 Utilize 'Multi ControlNet' for applying multiple controlnets to refine image generation further.

Q & A

  • What is the new feature introduced in the controlnet called?

    -The new feature introduced in the controlnet is called 'Reference Only'.

  • How does the 'Reference Only' feature work?

    -The 'Reference Only' feature allows users to adjust different elements in an image while keeping the same person or character. It is used by enabling the feature, selecting 'Reference Only' from the Preprocessor, and generating the image with the desired adjustments.

  • What are some applications of the 'Reference Only' feature?

    -The 'Reference Only' feature can be used to create cartoons and animations, generate frame-by-frame GIF movies, and make detailed depictions for illustration systems. It also facilitates the creation of photo collections of specific models and the adjustment of behaviors in images.

  • How can you ensure the generated images maintain the desired character's face?

    -To ensure the generated images maintain the desired character's face, you need to check the 'Enable' and 'Pixel Perfect' checkboxes, select 'Reference Only' from the Preprocessor, and use an appropriate prompt that emphasizes the importance of the character's face.

  • What happens when you increase the batch count?

    -Increasing the batch count allows for the generation of more images, which can help in achieving variations in the mood of the background and can improve the accuracy of the character's face representation across different images.

  • How can you adjust the mood of the background in the generated images?

    -The mood of the background can be adjusted by changing the prompts in the 'Control Mode'. This allows for variations in the background atmosphere while keeping the character's face consistent.

  • What is the 'XYZ Plot' feature in the Scripts section?

    -The 'XYZ Plot' feature is a useful tool within the controlnet that can be applied to different models to generate images with variations while maintaining the similarity of the dogs or characters used in the prompts.

  • How can you change the character's hair color while keeping the face the same?

    -To change the character's hair color, you can update the prompt to include the desired hair color, such as 'blonde hair', and ensure that the 'Enable' and 'Pixel Perfect' checkboxes are checked. The generated images should then reflect the updated hair color while keeping the face similar.

  • What is the 'Multi ControlNet' feature?

    -The 'Multi ControlNet' feature allows for the application of multiple controlnets to a single image. It helps in finding suitable images for specific tasks, such as holding an apple, by combining different controlnet functions.

  • How can you make adjustments to the generated images for better accuracy?

    -For better accuracy, you can increase the number of batches, make the prompt more specific, adjust the 'Control Weight', and modify the 'Mode' settings for the controlnet features. These adjustments help in fine-tuning the generated images to closely match the desired output.

  • What is the significance of the 'Reference Only' feature in creating ideal images?

    -The 'Reference Only' feature significantly lowers the barrier for generating ideal images by allowing users to make detailed adjustments to the character's appearance, behavior, and background without losing the essence of the original character. It makes the process more flexible and accessible.

Outlines

00:00

🎨 Introducing Controlnet's 'Reference Only' Feature

This paragraph introduces the 'Reference Only' feature of controlnet, highlighting its ability to adjust various elements while maintaining the same character or person. It provides a step-by-step guide on how to use this feature, starting with a dog image and explaining the process of enabling controlnet, selecting 'Reference Only' from Preprocessor, and generating the image. The summary emphasizes the versatility of controlnet, its potential for creating cartoons and animations, and the impact of adjusting different Modes on the generated images. It also discusses the possibility of combining 'Reference Only' with other controlnet functions to produce more detailed depictions and the potential for creating GIF movies by increasing the batch count.

05:06

🖌️ Exploring 'Reference Only' with Different Models and Adjustments

The second paragraph delves into the application of the 'Reference Only' feature with different models, starting with the XYZ Plot section. It discusses the generation of images using various prompts and models while maintaining the similarity of the dogs in the images. The paragraph then shifts focus to illustrative images, demonstrating the compatibility of 'Reference Only' with illustration systems and its facilitation of cartoon and animation creation. It explores the ability to change character attributes, such as hair color, while keeping the character's face intact. The summary also touches on the challenges of incorporating new elements like an apple and the effectiveness of specific prompts in achieving the desired result. Finally, it mentions the potential of Multi ControlNet for enhancing image generation by combining multiple controlnets.

Mindmap

Keywords

💡controlnet

Controlnet is a technology introduced in the video that allows users to manipulate and adjust various elements in an image while maintaining the same person or character. It is a versatile tool with numerous features, and the video highlights its ability to generate images with consistent character appearances across different prompts and models. The term is central to the video's theme, showcasing the power of AI in image generation and manipulation.

💡Reference Only

Reference Only is a specific function within controlnet that focuses on retaining the original image's subject while allowing changes to other aspects, such as the background or pose. It is one of the most notable features of controlnet, as it enables users to generate a variety of images with a consistent character, making it easier to create animations, cartoons, and detailed depictions.

💡Pixel Perfect

Pixel Perfect is a setting within controlnet that ensures the generated image closely matches the quality and detail of the original image. It is an important feature for maintaining high-fidelity in image generation, particularly when the goal is to create a series of images that are visually consistent with the original reference.

💡Control Mode

Control Mode refers to the different settings within controlnet that allow users to adjust the level of control they have over the image generation process. These modes determine how much influence the original image, user prompts, and other factors have on the final output, enabling users to fine-tune the generation to meet their specific needs.

💡XYZ Plot

XYZ Plot is a feature mentioned in the video that seems to be a part of controlnet or a related tool. Although not detailed extensively, it is implied to be a useful function for generating images, possibly by applying different prompts to various models and observing the outcomes, thus contributing to the versatility of the platform.

💡Multi ControlNet

Multi ControlNet is an advanced feature that allows for the application of multiple controlnets to a single image. This functionality enables users to find suitable images for specific tasks, such as holding an object, and to adjust various aspects of the image without compromising the original subject's likeness. It represents an enhancement to the controlnet technology, offering more complex and nuanced control over image generation.

💡Openpose

Openpose is a feature within controlnet that focuses on capturing and replicating the pose of a subject in an image. It is used to adjust the generated image's pose to match a desired action or gesture, such as sitting on a bench or running, while retaining the original face or character.

💡Control Weight

Control Weight is a parameter within controlnet that adjusts the influence of the control settings on the generated image. By modifying the Control Weight, users can fine-tune how much of the original image or the user's input is reflected in the final output, allowing for a balance between the two and greater control over the image's appearance.

💡GIF movies

GIF movies, or Graphics Interchange Format movies, are a type of digital media that consists of a series of images displayed in rapid succession to create the illusion of motion. In the context of the video, controlnet's ability to generate a batch of images with consistent characters and varying backgrounds can be utilized to create frame-by-frame GIF movies, adding a dynamic element to the static images.

💡Illustration systems

Illustration systems refer to the tools and methods used to create visual representations or artwork. In the video, the term is used to describe how controlnet's Reference Only feature is compatible with and enhances the process of creating cartoons and animations, making it easier for artists to produce detailed and consistent character depictions across multiple images.

💡Inpaint

Inpaint is a technique used in image editing to fill in or repair parts of an image. In the context of the video, it is mentioned as a method to change certain aspects of an image, such as pose or clothing, but with less flexibility compared to controlnet's features. Controlnet offers more advanced and nuanced adjustments, allowing for greater creativity and precision in image manipulation.

Highlights

Introduction of the 'Reference Only' feature in controlnet, a significant technological advancement.

The ability to adjust different elements while keeping the same person or character in an image.

A step-by-step guide on how to use the 'Reference Only' feature with an example image of a dog.

The necessity of updating controlnet to access the 'Reference Only' feature.

Demonstration of generating images with variations in mood and background while maintaining the dog's likeness.

Changing the 'Control Mode' to prioritize the user's prompt, resulting in a more accurate representation of the desired image.

The versatility of controlnet in creating cartoons, animations, and frame-by-frame GIF movies.

Exploration of the 'XYZ Plot' feature and its utility in generating varied images across different models.

The compatibility of the 'Reference Only' feature with illustrative systems, facilitating detailed depictions.

The capability to change character attributes like hair color while retaining the character's likeness.

The challenge of incorporating specific props like an apple into the image and the solution of making the prompt more specific.

The effectiveness of 'Reference Only' in altering the behavior of the character, such as adding a sitting gesture.

The high-quality and flexibility of images generated, particularly beneficial for animation.

The application of 'Reference Only' to live-action images, maintaining facial similarity while changing poses or clothing.

The use of inpainting for adjustments, offering more flexibility than traditional methods.

The introduction of 'Multi ControlNet', a feature allowing the application of multiple controlnets for refined image generation.

The process of using 'Multi ControlNet' to find suitable images and adjust the pose, such as holding an apple.

The impact of adjusting 'Control Weight' and 'Mode' for refining the generated image's atmosphere and likeness.

The potential for improving image quality with increased resolution and other adjustments.

The encouragement to explore the 'Reference Only' feature and its combination with other functions for generating ideal images.

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