『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

TLDRControlnet introduces an impressive new feature called 'Reference Only' that allows users to adjust various elements while maintaining the same person or character in the generated images. The feature is showcased through a step-by-step demonstration using a dog image, where the user can adjust the prompt and control modes to achieve highly similar results. The technology is also tested with different models and prompts, demonstrating its versatility in creating cartoons, animations, and GIF movies. The 'Reference Only' feature is compatible with illustration systems and can be used to change character attributes like hair color without altering the face. It also works well with live-action images, offering flexibility in changing poses and clothing. The video concludes by highlighting the potential of combining 'Reference Only' with other features like Multi ControlNet and Openpose for even more refined and accurate image generation. The presenter encourages viewers to explore the feature and subscribe for more AI tool updates.

Takeaways

  • 🆕 Introducing the 'Reference Only' feature in ControlNet, which allows users to adjust various elements while maintaining the same person or character's face.
  • 📸 To use 'Reference Only', place an image in the ControlNet section, enable options, and select 'Reference Only' from Preprocessor.
  • 🔄 After selecting 'Reference Only' and generating, the output image will resemble the input, with variations in mood and background.
  • 📈 Users can increase the batch count for more images to observe the similarity in faces and variations in other aspects.
  • 📉 Changing the Control Mode to prioritize the prompt results in a higher likelihood of generating a very similar image.
  • 🎭 The feature is versatile, suitable for creating cartoons, animations, and frame-by-frame GIF movies.
  • 🔄 ControlNet can apply the same prompts to different models, generating variations while keeping the subject similar across models.
  • 🖌️ The 'Reference Only' feature is compatible with illustration systems, facilitating more detailed depictions in cartoons and animations.
  • 👩‍🦱 Experimenting with changing hair color while keeping the character shows that increasing batch count and careful selection can improve accuracy.
  • 🍎 Specific prompts, like 'hold an apple in the girl's right hand,' can be more effective when detailed and the batch count is increased.
  • 🎭 For live-action images, 'Reference Only' can generate similar faces, and with adjustments like 'inpaint', one can change poses or clothes while keeping the same face.
  • 🤖 Multi ControlNet allows for the application of multiple controlnets, useful for finding suitable images for specific tasks like holding an apple.

Q & A

  • What is the new feature of ControlNet introduced in the video?

    -The new feature introduced is 'Reference Only', which allows users to adjust different elements while keeping the same person or character.

  • How do you use the 'Reference Only' feature in ControlNet?

    -To use 'Reference Only', you drop the image in the ControlNet section, enable the feature and Pixel Perfect, select 'Reference Only' from Preprocessor, and then generate the image.

  • What happens if you don't see 'Reference Only' in the Preprocessor options?

    -If 'Reference Only' is not visible, you need to update ControlNet to the latest version to access this feature.

  • How does the 'Reference Only' feature affect the generated images?

    -The feature generates images that have faces similar to the reference image, with variations in the mood and background.

  • Can you change the behavior of the character in the generated images?

    -Yes, you can change the behavior of the character by adjusting the prompt and using features like 'Openpose' to fix the pose.

  • What is the significance of increasing the batch count?

    -Increasing the batch count allows you to see more variations of the generated images, which can help in assessing the consistency and quality of the 'Reference Only' feature.

  • How does the 'Control Mode' affect the generated images?

    -Changing the 'Control Mode' can alter the priority of the prompt, leading to more or less similarity in the generated images compared to the reference.

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

    -The feature can be used to create cartoons, animations, frame-by-frame GIF movies, and detailed illustrations by retaining the same character or face across different images.

  • How does the 'Reference Only' feature work with different models?

    -The feature works well across different models, generating a lot of variations while keeping the character or face similar, regardless of the model used.

  • What is the 'Multi ControlNet' feature?

    -Multi ControlNet is a feature that allows multiple controlnets to be applied, helping to find suitable images for specific tasks, like holding an object in a generated image.

  • How can you improve the accuracy of the generated images?

    -Improving accuracy can be achieved by increasing the number of batches, making the prompt more specific, adjusting Control Weight, and using additional features like 'Openpose'.

  • What is the potential of the 'Reference Only' feature in creating a photo collection of a particular model?

    -The feature can be used to easily create a photo collection of a particular model by keeping the face consistent while changing poses, clothing, and other elements.

Outlines

00:00

🐕 Introduction to Controlnet's Reference Only Feature

This paragraph introduces a new feature in controlnet called 'Reference Only', which allows users to adjust different elements of an image while maintaining the same character or person. The speaker encourages everyone to try this feature, demonstrating its use with an image of a dog. The process involves uploading the image to the controlnet section, enabling certain options, and selecting 'Reference Only' from the Preprocessor. The feature is shown to be versatile, capable of generating similar images with variations in mood and background. It can also be used to create cartoons, animations, and frame-by-frame GIF movies. The speaker also discusses the compatibility of the feature with different models and its potential for detailed depiction in illustrations.

05:06

🎨 Advanced Usage of Reference Only with Multi ControlNet

The second paragraph delves into more advanced uses of the 'Reference Only' feature, including its application in animation and live-action image manipulation. The speaker highlights the high quality and flexibility of the generated images and demonstrates how to adjust poses and clothing using the feature. The paragraph also touches on the use of 'inpaint' for more flexible adjustments than traditional methods. An attempt to change the hair color and add an apple to an image is shown, with varying degrees of success. The speaker then introduces 'Multi ControlNet', a feature that allows for the application of multiple controlnets to find suitable images for specific tasks, such as holding an apple. The process involves adjusting control weights and modes to achieve the desired outcome, ultimately resulting in an image that retains the original face, incorporates the new prompts, and fixes the pose with Openpose settings.

Mindmap

Keywords

💡Reference Only

Reference Only is a new feature in ControlNet that allows users to adjust different elements of an image while maintaining the same person or character's face. It is a significant technological advancement that enables greater control over the generation process. In the video, it is used to create variations of a dog and a woman's image while keeping their faces consistent.

💡ControlNet

ControlNet is a technology or platform that offers various features for image manipulation and generation. It is the context within which the Reference Only feature operates. The video showcases how ControlNet can be used to generate images that are highly customizable while keeping certain elements, like a character's face, consistent.

💡Pixel Perfect

Pixel Perfect refers to the quality of an image where each pixel is in the correct and intended position, resulting in a clear and sharp image. In the context of the video, enabling the Pixel Perfect option ensures that the generated images closely match the reference image in terms of detail and clarity.

💡Batch Count

Batch Count refers to the number of images generated in a single operation. By increasing the batch count, the video demonstrates how variations in mood and background can be observed, and it allows for a more comprehensive assessment of the consistency of the character's face across multiple images.

💡Control Mode

Control Mode is a setting within ControlNet that determines the level of influence that user-provided prompts have on the generated image. The video shows how changing the Control Mode to prioritize the user's prompt results in images that are more closely aligned with the user's desired outcome.

💡Multi ControlNet

Multi ControlNet is a feature that allows for the application of multiple ControlNets to a single image. It is used to find suitable elements from different sources to combine into a coherent final image. In the video, it is demonstrated how Multi ControlNet can be used to adjust poses and incorporate objects like an apple into the generated images.

💡Openpose

Openpose is a technology or setting within ControlNet that is used to adjust the pose of a character in the generated image. It helps to retain the original face while changing the body posture or position. The video illustrates how Openpose can be combined with Reference Only to create images with specific poses.

💡Control Weight

Control Weight is a parameter that can be adjusted to control the degree of influence that certain features, like Openpose, have on the final image. By adjusting the Control Weight, users can fine-tune the balance between the original image elements and the changes they want to introduce.

💡Inpaint

Inpaint is a technique or tool used for image editing that allows users to fill in or change certain parts of an image without affecting the rest. In the context of the video, it is mentioned as a method to change poses or clothes in an image while keeping the face the same, offering a more flexible alternative to traditional editing methods.

💡Illustrative Images

Illustrative Images refer to a type of visual art that is characterized by a more stylized, non-photorealistic representation of subjects. The video discusses how the Reference Only feature is compatible with illustrative styles, allowing for the creation of cartoons and animations with consistent character depictions.

💡GIF Movies

GIF Movies are a form of animated image that loops a series of frames to create the illusion of motion. The video suggests that by increasing the number of batches and using the Reference Only feature, users can create frame-by-frame GIF movies with consistent character faces.

Highlights

Introducing the 'Reference Only' feature in ControlNet that allows maintaining the same face or character while adjusting other elements.

The feature is considered one of the most amazing technologies in ControlNet.

To use 'Reference Only', drop an image into the ControlNet section, enable options, and select 'Reference Only' from Preprocessor.

The resulting image will have a similar face to the original, with variations in the background mood.

Different Modes in Control Mode can be adjusted for more personalized results.

The 'My prompt is more important' mode generates a very similar dog image due to increased prompt priority.

ControlNet's versatility allows for creating cartoons, animations, and frame-by-frame GIF movies.

The XYZ Plot section in Scripts offers useful features for applying prompts to different models.

The 'Reference Only' feature is compatible with illustration systems, facilitating detailed depiction in cartoons and animations.

Changing character attributes like hair color can be done while keeping the character's face consistent.

Increasing the batch count and careful selection can improve the accuracy of generated images.

The prompt can be made more specific to achieve desired results, such as 'hold an apple in the girl's right hand'.

Multi ControlNet allows applying multiple controlnets for more complex image adjustments.

Openpose settings can be added from ControlNet for better pose retention.

Adjusting Control Weight and Mode can help correct and refine the generated image to match the original.

The 'Reference Only' feature significantly lowers the barrier for generating an ideal image.

The channel introduces the latest AI tools and encourages viewers to subscribe and engage with the content.