그림AI 나온 지 반년 만에 영상 업계마저 긴장하는 이유 (feat.컨트롤넷) / [오목교 전자상가 EP.127]

오목교 전자상가
28 Feb 202307:34

TLDRThe video script discusses the rapid evolution of image-generating AI, highlighting its increasing realism and potential applications. The creator shares their experience with Stable Diffusion and ControlNet, demonstrating how these tools can generate and manipulate images with various models. They explore the use of AI in content production, such as Netflix's "Dog and Boy," and ponder the future where AI could revolutionize video creation. The video ends with a reflection on the adaptability of humans in the face of technological advancements.

Takeaways

  • 🌊 The speaker is passionate about water and uses YouTube as a source of entertainment and inspiration.
  • 🎥 AI software has advanced to create realistic facial movements and images, becoming a comforting presence.
  • 🔍 The image-generating AI's limitation is its randomness, which prevents it from fully replacing human creativity.
  • 🖌️ The speaker has developed a method to extend the functionality of Stable Diffusion using ControlNet on the web UI.
  • 🐰 The ControlNet feature allows for image creation based on sketches, maintaining the original shape and details.
  • 🎨 Canny and Hed models are used for border extraction and contour manipulation, useful for style and color changes.
  • 🚨 The speaker expresses concern over copyright issues when using AI to imitate or plagiarize images.
  • 🤸 Openpose model extracts poses from images, and an extension allows for real-time pose adjustments.
  • 🌐 Segmentation, mlsd, and depth models are other useful tools for image manipulation in various applications.
  • 🔗 Multi-control net enables the application of multiple models simultaneously, enhancing the AI's capabilities.
  • 📺 AI-generated images are already being used in content production, such as the Netflix Japan series 'Dog and Boy'.

Q & A

  • What is the speaker's current obsession?

    -The speaker is obsessed with water and is also fascinated by the advancements in image-generating AI.

  • Why does the speaker use YouTube as a source of entertainment?

    -The speaker uses YouTube because they are very busy and it provides a convenient way to enjoy content, specifically Beatles music.

  • What tool did the speaker use to create a face image?

    -The speaker used a Stable Diffuser and AI software to create a face image with facial movements.

  • What is the main limitation of image-generating AI according to the speaker?

    -The main limitation is that it generates random images each time, which prevents it from fully replacing humans in many applications.

  • How does the speaker describe the evolution of image-generating AI?

    -The speaker notes that the image-generating AI has become much more realistic in just a few months.

  • What is the ControlNet function in the context of the speaker's discussion?

    -The ControlNet function is a feature that allows the user to control the generation of images more precisely, using a web UI.

  • What are some of the models mentioned by the speaker that can be used with ControlNet?

    -The models mentioned include Canny for edge detection, Hed for contour extraction, Openpose for pose extraction, and segmentation, mlsd, and depth models.

  • How does the speaker plan to use the ControlNet function for a surprise event?

    -The speaker plans to use ControlNet to create a surprise by manipulating images, such as changing the style and color of contours, and creating a background with a moon and a character in the foreground.

  • What is the speaker's concern regarding the use of image-generating AI?

    -The speaker is concerned about the potential for copyright infringement and the high risk of imitating or plagiarizing when using AI to generate images.

  • How does the speaker envision the future of AI in content production?

    -The speaker believes that AI will increasingly penetrate the content production scene, potentially replacing human involvement in creating every element of a scene, including people and movements.

  • What is the speaker's final thought on adapting to technological changes?

    -The speaker ponders whether we, as humans, can adapt to the rapid changes and trends in technology, questioning which technologies and jobs will survive and how we can adapt.

Outlines

00:00

🌊 AI and Image Generation

The speaker expresses their fascination with water and transitions into discussing the evolution of AI in image generation. They mention using YouTube and Stable Diffusion to create realistic facial movements with AI software. Despite the advancements, image-generating AI has limitations due to its random image generation. The speaker introduces a new extension function for Stable and explains the ControlNet feature, which allows for more precise image creation using various models like Canny, Hed, and Openpose. They also touch on the potential risks of copyright infringement when using AI to imitate or plagiarize images.

05:01

🎨 Exploring AI's Creative Potential

The speaker delves into the practical applications of AI in content creation, highlighting the use of ControlNet for multi-model integration. They demonstrate how to create a background with depth and integrate pre-extracted poses into a scene. The speaker reflects on the potential for AI to revolutionize video production, as seen in Netflix Japan's "Dog and Boy," where AI-generated images were used for backgrounds. They predict a future where AI will play a significant role in creating sophisticated videos, emphasizing the need for adaptation to new technologies and their impact on various industries.

Mindmap

Keywords

💡Image-generating AI

Image-generating AI refers to artificial intelligence systems capable of creating visual content, such as images or videos, from scratch or based on given inputs. In the video, it is highlighted as a technology that has become increasingly realistic and comforting, yet it has limitations due to its random image generation. The speaker discusses how this AI has not replaced humans in many areas because of its unpredictable outputs.

💡Stable Diffuser

Stable Diffuser is a term used in the context of AI image generation, likely referring to a specific algorithm or tool that helps in creating stable and coherent images. The speaker mentions using a Stable Diffuser to make a face image, indicating its role in producing realistic facial movements and expressions in AI-generated content.

💡ControlNet

ControlNet is a function or feature within the AI software discussed in the video, which allows for more precise control over the image generation process. The speaker describes using ControlNet to create a blank canvas and draw an image, suggesting that it provides a user interface for sketching and generating images with more intentional outcomes.

💡Canny and Hed models

Canny and Hed are models within the AI software that serve specific purposes in image processing. The Canny model is used for edge detection, extracting the borders from an original image, which is useful for maintaining the shape of the subject. The Hed model is similar and is recommended for getting the contours of people and changing aspects like style and color. These models are used to enhance the realism and control over the generated images.

💡Openpose model

The Openpose model is an AI tool that extracts poses from images, particularly useful for identifying and manipulating human body positions. The speaker mentions using Openpose to analyze running figures and adjust their poses in real-time, which demonstrates the model's application in creating dynamic and lifelike animations.

💡Multi-control net

Multi-control net is a feature that allows the simultaneous application of multiple models within the AI software. This enables the user to combine different image processing techniques to achieve a more complex and detailed result. The speaker gives an example of using multi-control net to create a background with depth and a character in the foreground, showcasing the potential for creating comprehensive scenes.

💡Content production

Content production refers to the creation of various forms of media content, such as videos, images, and animations. The video discusses how image-generating AI is beginning to impact content production, with examples like Netflix Japan's 'Dog and Boy,' where AI-generated images were used for backgrounds. This indicates a shift towards AI in the creative process.

💡Video-generating AI

Video-generating AI is an advanced form of AI that creates videos, which is a more complex task than generating static images. The speaker speculates that with the development of multi-control net and other AI tools, video-generating AI will become more sophisticated, leading to a future where AI can produce high-quality videos with subtle combinations of different images.

💡AI deployment

AI deployment refers to the implementation of AI systems in various tasks or industries. The speaker contemplates the future where AI can deploy people and work alone, suggesting a significant shift in the workforce and the way tasks are accomplished. This raises questions about adaptability and the survival of certain technologies and jobs in the face of rapid AI advancements.

💡Technological trends

Technological trends refer to the patterns of development and adoption of new technologies. The video mentions the rapid pace of technological change, with new technologies emerging every week. This trend poses challenges for individuals and industries to adapt and stay relevant in a constantly evolving technological landscape.

Highlights

The speaker is passionate about water and uses YouTube to relax.

The speaker has utilized AI software to create a facial image using Stable Diffusion technology.

The image-generating AI has become more realistic in recent months.

The AI generates random images, which is a limitation in replacing humans in certain tasks.

The speaker has discovered a method to extend the functionality of Stable Diffusion.

ControlNet function can only be used on the web UI, and the speaker provides a brief introduction to its basic usage.

The speaker demonstrates creating an image of a rabbit using the ControlNet interface.

Canny and Hed models are introduced for maintaining shapes and extracting contours of people, respectively.

The speaker expresses concern about copyright issues when using AI to imitate or plagiarize images.

Openpose model is used to extract and manipulate poses in images.

The speaker discusses the potential of multi-control net to apply multiple models simultaneously.

The speaker envisions AI-generated images and videos becoming more sophisticated and widespread.

AI-generated images were used in the background of Netflix Japan's "Dog and Boy" series.

The speaker speculates that AI will soon be able to produce more complex videos.

The speaker reflects on the rapid pace of technological change and its impact on jobs and adaptability.

The speaker concludes by questioning the future of humanity in the face of advancing AI and technology.

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