The Current Absurd State of Generating AI Images

bycloud
5 Sept 202315:52

TLDRThe video discusses the rise of AI-generated influencers, particularly in the realm of Instagram, where a rendered model has amassed 2.7 million followers. It explores the evolution of AI image generation, from early incomprehensible images to ultra-realistic faces and full scenes. The script delves into the advancements in AI models like Laura and its variations, which can learn specific characteristics from a few training images. It also touches on the challenges and potential of fine-tuning these models, the use of tools like After Detailer and Control Net Tile for image improvement, and the release of the new stable diffusion model, SDXL, which promises higher resolution and better detail generation. The video concludes by highlighting the potential of fine-tuning and the challenges of integrating SDXL with existing GUIs.

Takeaways

  • 🌟 AI-generated influencers are gaining popularity, with one Instagram model amassing 2.7 million followers.
  • 🚀 Advances in AI technology have improved image generation, making it more realistic and detailed.
  • 🤖 The evolution of AI models like Laura has led to better image generation capabilities, including style and face type learning.
  • 🔍 Model mixes and merges have become more sophisticated, allowing for the creation of stronger AI models for image generation.
  • 🌐 The popularity of AI influencers may be due to the novelty and the quality of AI-generated images.
  • 🎨 AI-generated images have evolved from incomprehensible images to ultra-realistic faces and scenes.
  • 📈 The development of AI image generation tools like After Detailer and Control Net Tile enhances the quality of AI-generated images.
  • 🔥 SDXL, a new AI architecture, has shown significant improvements in image generation, especially in resolution and detail.
  • 🛠️ Fine-tuning AI models like SDXL and Waifu Diffusion XL is showing promising results, with potential for further advancements.
  • 💻 The adoption of new AI models like SDXL faces challenges in compatibility with existing GUI tools, but solutions are being developed.

Q & A

  • What is the significance of the AI-generated Instagram model mentioned in the transcript?

    -The AI-generated Instagram model, with 2.7 million followers, demonstrates the popularity and potential of artificial influencers. It showcases how AI technology can create highly engaging and realistic virtual personalities.

  • How has AI image generation evolved over the past few years according to the transcript?

    -AI image generation has evolved significantly, from producing incomprehensible images to creating ultra-realistic faces and entire scenes. The technology has improved to the point where it can generate images with realistic lighting, shadows, and even camera lens effects from just text prompts.

  • What is a 'model mix' in the context of AI image generation?

    -A 'model mix' refers to the process of combining the best models from different AI systems to create a new model that is stronger and capable of generating more aesthetically pleasing images. This technique allows for the learning of specific characteristics, such as style, face type, or clothing, from a few training images.

  • What are the differences between Laura, Locon, and Loha in AI image generation?

    -Laura is a base model that understands the connection between concepts and trigger words. Locon, short for Laura for convolutional layer, trains both the Transformer block and the res block, improving identity preservation. Loha combines two Laura models using the Hadamard product, offering better expressiveness and style combination.

  • What is the role of 'after detailer' in AI image generation?

    -The 'after detailer' is an automatic painting tool used to improve major features of an AI-generated image, such as the face, hands, or body. It allows users to fix details separately and then enhances those areas after the main image has been generated.

  • How does 'control net tile' contribute to image generation?

    -Control net tile is an image of a super-resolution control net model that upscales the image in different tiles, using text prompts to generate relevant details. This helps in maintaining the overall coherence and quality of the upscaled image.

  • What is the significance of 'sdxl' in the context of AI image generation?

    -Sdxl, or Stable Diffusion XL, is a new base model trained on a higher resolution and incorporates a refiner for built-in image detail addition. It represents a significant upgrade from previous models, capable of generating highly detailed and photorealistic images.

  • What are the challenges with implementing sdxl compared to previous AI image generation models?

    -Sdxl struggles to run on computers with less than 8 GB of VRAM and generates images at a slower pace compared to SD 1.5. Additionally, it has a new AI architecture that is not yet widely supported by open-source GUIs, leading to compatibility issues.

  • How does the 'Focus' GUI differ from other GUIs for AI image generation?

    -The 'Focus' GUI, designed specifically for sdxl, prioritizes running sdxl optimally and generating good images with short prompts. Unlike other GUIs, it offers users minimal control over parameters like samplers or CFG values, making it more accessible for newcomers.

  • What is the potential impact of AI-generated images on the evaluation of AI models?

    -AI-generated images can sometimes camouflage artifacts or bad details, particularly through the use of the bokeh effect, which can mislead user ratings. This may result in a biased evaluation towards certain styles of generation, potentially distracting from improvements in generating realistic details.

Outlines

00:00

🌟 AI Influencers and Image Generation

This paragraph discusses the popularity of AI influencers, particularly an Instagram model with 2.7 million followers created using AI. It highlights the rapid advancement of AI-generated images, from incomprehensible images two years ago to ultra-realistic faces today. The speaker reflects on the journey of text-based AI image generation and the potential for AI startups to create even more advanced influencers using the latest AI technology.

05:01

🚀 Evolution of AI Image Generation Techniques

The paragraph delves into the evolution of AI image generation, mentioning the rise of model mixes that combine the best models to create stronger and more aesthetic images. It introduces Laura, a method that learns specific characteristics from a few training images, and discusses its variations like locon and loha, which are gaining popularity in the AI fine-tuned space. The speaker also touches on the use of tools like after detailer and control net tile to improve AI-generated images.

10:03

🔍 The Impact of AI Image Quality on Model Evaluation

This section explores the impact of image quality on the evaluation of AI models, noting that user ratings may be biased towards images with certain artifacts or details. It raises concerns about AI models focusing on pleasing aesthetics rather than improving detail generation. The paragraph also discusses the capabilities of the new AI architecture, sdxl, which generates high-resolution images and is effective at fine-tuning, though it struggles with integration into open source GUIs and requires powerful hardware.

15:03

🎓 Learning AI and STEM with Brilliant.org

The final paragraph shifts focus to the importance of learning AI and STEM fields, promoting Brilliant.org as a platform for beginners to learn about machine learning, AI, and other STEM subjects. It emphasizes the interactive learning approach of Brilliant, which is shown to be six times more effective than lecture videos, and offers a clear roadmap for different knowledge levels. The speaker also thanks the sponsors and supporters of the video.

Mindmap

Keywords

💡artificial influencer

An artificial influencer refers to a virtual persona created using AI and computer graphics, designed to influence online trends and consumer behavior, similar to a real-life social media influencer. In the video, it's mentioned that these AI models have become popular, with one having 2.7 million followers on Instagram, showcasing the impact of AI in the realm of social media and marketing.

💡AI-generated images

AI-generated images are those created by artificial intelligence algorithms, which can produce visual content from textual descriptions or other inputs. The video discusses the evolution of AI-generated images, from incomprehensible images to ultra-realistic faces, highlighting the rapid advancements in AI technology and its potential applications in various fields.

💡model mixes

Model mixes refer to the combination of different AI models to create a more powerful and versatile model capable of generating higher quality images. The video mentions that by combining the best aspects of various models, AI can generate images that the human brain might not be able to imagine, showcasing the collaborative potential of AI in image generation.

💡Laura

Laura is a term used in the video to describe a type of AI model that can learn specific characteristics about a style, face type, or clothing, among other things. It is an example of how AI can be fine-tuned to understand and replicate complex visual elements, which is a significant advancement in the field of AI-generated content.

💡locon

Locon, short for Laura for convolutional layer, is a variation of the Laura model that trains both the Transformer block and the res block. This allows the AI to maintain more details from the original reference image and improve the identity preservation mechanism, as discussed in the video. It represents an evolution in AI models that enhances the quality and realism of generated images.

💡loha

Loha is another variation of the Laura model that combines two Laura models using a method called the Hadamard product. It is designed to have better expressiveness and is particularly effective at combining styles with characters, as mentioned in the video. This concept illustrates the ongoing innovation in AI models to create more diverse and complex AI-generated content.

💡after detailer

After detailer is an automatic painting tool used to improve specific features of an AI-generated image, such as the face, hands, or body. As described in the video, it allows users to fix details that were not adequately rendered in the initial image generation, enhancing the overall quality and realism of the final output.

💡control net tile

Control net tile is an image of a super-resolution control net model that upscales an image in different tiles with the assistance of text prompts. This technique, as explained in the video, helps to generate details that are relevant to the larger image, contributing to the high-quality output of AI-generated images.

💡sdxl

Sdxl, or Stable Diffusion XL, is a new base model for AI-generated images that operates at a higher resolution and incorporates a refiner for built-in image detail enhancement. The video highlights sdxl's ability to generate highly realistic images and its potential to change the landscape of AI-generated content, despite the challenges of running it on less powerful hardware.

💡pseudo photorealism

Pseudo photorealism refers to images generated by AI that appear to be real photographs but are actually created using AI models. The video discusses how some AI models, like sdxl, use the bokeh effect to create a sense of depth of field, which can be misleading and affect the evaluation of the model's quality. This concept is important in understanding the limitations and potential biases in AI-generated image quality.

Highlights

Artificial influencers have become popular, with one Instagram model amassing 2.7 million followers.

The technology behind AI influencers is not new, but its popularity has surged in recent years.

AI-generated images have improved significantly in the past few months, raising questions about the authenticity of online personas.

The rise of text-based AI-generated images has been a journey from incomprehensible images to ultra-realistic faces.

AI models can now generate images with high-quality lighting, shadows, and color effects from just text inputs.

Model mixes and merges have evolved, with AI models like Laura capable of learning specific characteristics from a few training images.

New AI methods like 'licorice' and 'loha' are gaining popularity, offering improved image generation capabilities.

The 'locon' method trains both the Transformer block and the res block, resulting in better identity preservation in AI-generated images.

The 'loha' method combines two Lora models, enhancing expressiveness and style combination.

AI image generation has expanded beyond just text-to-image, incorporating various extensions for improved results.

Tools like 'after detailer' and 'control net tile' are used to refine specific features and upscale images, respectively.

SDXL, a new AI architecture, has been released, offering higher resolution and better fine-tuning capabilities.

SDXL struggles with running on lower-end hardware and has a steep learning curve for fine-tuning.

The 'Focus' GUI is designed for optimal running of SDXL, offering a simplified user experience.

AI models may be biased towards certain styles of generation due to the way user ratings are used for evaluation.

The development of extensions for SD 1.5 is slower due to challenges in finding the right fine-tuning parameters.

Food diffusion is showing progress in fine-tuning, with early results surpassing previous models.

The 'waifu diffusion 1.5' model is expected to be the base for future SDXL anime models.

SDXL's new AI architecture is struggling to be integrated with most open-source GUIs, but progress is being made.

Brilliant.org is recommended as a platform for learning about AI and STEM fields, offering interactive lessons and a clear roadmap for different knowledge levels.