Best AI Photorealism yet? NEW Model!
TLDRThe video script discusses advancements in generative AI for creating photorealistic images using stable diffusion. It introduces a new model trained on realism, aiming to improve upon the limitations of previous versions. The host shares their experience using the model to render images, highlighting improvements in skin texture and eye detailing. They also discuss the addition of 'lures' to address common issues and provide tips for achieving more authentic results. The video showcases a variety of rendered images, emphasizing the model's potential for producing realistic portraits and its relevance for professional use.
Takeaways
- 🚀 The journey towards achieving photorealistic images with AI is ongoing, with significant progress being made.
- 🎨 A new model is introduced that focuses on generating realistic images, particularly aimed at creating close-up photos of people.
- 🌟 The model has been trained using stock photos, which has resulted in images that feel plain yet realistic, akin to everyday photographs.
- 👀 Improvements in the depiction of eyes in AI-generated images are highlighted, with the use of a 'detail eyes' model to enhance their realism.
- 🖼️ The importance of skin texture and imperfections, such as blemishes and visible skin hair, is emphasized for achieving a more realistic look.
- 📸 The script showcases live renders of different scenes, demonstrating the current capabilities and limitations of the AI in creating photorealistic images.
- 🔄 The process of mixing and matching different models and 'lures' is discussed to achieve varying styles and levels of realism.
- 🎩 An example of transforming a historical portrait into a modern fashion model illustrates the versatility of the AI in adapting to different themes and styles.
- 🎨 The impact of different styles, such as 'cinematic' and 'analog fill', on the final output is explored, showing how they can alter the vibe of the images.
- 🛠️ The use of specific models and 'lures' is recommended for those seeking to work with photorealism in AI-generated images.
- 📈 The rapid progress of AI in the field of photorealism is praised, with the current results being far superior to previous iterations.
Q & A
What is the main focus of the video?
-The main focus of the video is to discuss and demonstrate the process of creating photorealistic images using Stable Diffusion and various models, with an emphasis on achieving a more realistic style in portrait renderings.
What is the significance of the astronaut portrait in the video?
-The astronaut portrait is highlighted as an example of a fantastic image created with the new model, which feels like it's straight out of the movie 'Space Odyssey 2001', showcasing the potential of the technology in producing high-quality, photorealistic images.
What are some of the live renders being worked on during the video?
-The live renders being worked on include a portrait of a woman with detailed eyes, a sunset at the beach, and an image of a man astronaut, all aiming to achieve a higher level of photorealism.
What is the issue with the skin texture in general AI-generated images?
-The issue with the skin texture in general AI-generated images is that it often appears weirdly oily and plastic, not looking realistic, which is a problem the new model aims to address.
How does the video suggest improving the skin texture in AI-generated images?
-The video suggests adding specific prompts like 'dry skin', 'skin fast', 'visible skin hair', and 'blemishes' to improve the skin texture and make the images look more realistic and natural.
What is the 'realistic stock photos' model mentioned in the video?
-The 'realistic stock photos' model is a new model trained specifically on realism, using stock photos for close-up images of people, aiming to produce plain and regular images that resemble typical stock photos rather than overly hyped or beautiful images.
How does the video demonstrate the effectiveness of the 'detail eyes' model?
-The video demonstrates the effectiveness of the 'detail eyes' model by showing an example where the eyes in the generated image are more detailed and less problematic than in other AI-generated images, showcasing an improvement over the standard SDXL results.
What are the different styles applied to the images in the video?
-The different styles applied to the images include 'cinematic', 'analog fill', and 'vintage old photo', each aiming to give the images a distinct aesthetic and feel.
How does the video address the issue of imperfections in AI-generated images?
-The video addresses the issue of imperfections by suggesting the addition of prompts that introduce natural human imperfections, such as skin blemishes and visible skin hair, to make the images look more authentic and realistic.
What is the overall impression of the progress in AI-generated photorealistic images?
-The overall impression is positive, with the video showcasing significant improvements in the quality and realism of AI-generated images, particularly when using the new models, and expressing optimism about the future direction of the technology.
Outlines
🎨 Journey to Photorealism with AI
The paragraph introduces the quest for achieving photorealistic images using AI and stable diffusion. It mentions the presenter's excitement about a new model that brings them closer to this goal. The presenter plans to demonstrate how this model works and how it can create realistic images, starting with a joke about dad jokes and moving on to discuss a portrait of an astronaut that resembles the style of 'Space Odyssey 2001'. The paragraph also touches on the current live renders being worked on, including portraits of a woman with detailed eyes and a sunset at the beach, aiming to enhance photorealism by addressing common issues with skin texture in AI-generated images.
👁️ Improving Eye Detail and Skin Texture
This paragraph delves into the specifics of enhancing the realism of AI-generated images, particularly focusing on the eyes and skin texture. It discusses the challenges with achieving lifelike eyes in SD (Stable Diffusion) and introduces a new model designed to improve this aspect. The paragraph also explores the addition of skin blemishes and imperfections to create a more authentic and natural look, moving away from the overly smooth and unrealistic textures often seen in AI-generated images. The presenter shares their enthusiasm for the progress made in the field and provides examples of images that demonstrate the improvements, emphasizing the shift towards more relatable and less 'perfect' representations of human features.
Mindmap
Keywords
💡Photorealism
💡Generative AI
💡Stable Diffusion
💡Model Training
💡Skin Texture
💡Eyes Detail
💡Imperfections
💡CFG Scale
💡Stock Photos
💡Cinematic Vibe
💡Vintage Style
Highlights
Exploring the best photo realism and generative AI in the journey to find superior photorealistic images with stable diffusion.
Introducing a new model that has been trained specifically on realism to enhance photorealistic image generation.
Discussing the addition of lures to improve the model's handling of eyes, which have been a common weak point in generative AI images.
Analyzing the skin texture and what makes images realistic, noting the common issue of AI-generated skin appearing oily and plastic.
Presenting live renders of portraits to demonstrate the current capabilities and the progress towards photorealism.
Sharing tips on achieving more realistic skin textures by using prompts like 'dry skin', 'skin fast', 'visible skin hair', and 'blemishes'.
Introducing the 'realistic stock photos' model, trained with stock photos, aimed at producing close-up photos of people.
Describing the model's success in creating plain and regular images, akin to typical stock photos, which is a sought-after outcome in AI image generation.
Providing instructions on how to download and use the 'realistic stock photos' model and 'detail eyes' model for various user interfaces.
Demonstrating the impact of adding skin blemishes to images, which enhances their natural and authentic appearance.
Discussing the importance of imperfections in achieving realistic images, emphasizing that life and humans are not perfect.
Comparing the results with stable Fusion 1.5 and the significant improvement in the quality of generated images without the need for extensive in-painting.
Exploring the use of different models and styles, such as 'Juggernaut cinematic', to achieve varying aesthetics from cinematic to vintage.
Showing the transformation of a portrait into various characters like a fashion model and a Viking woman warrior, demonstrating the versatility of the AI.
Noting the challenges in rendering hands and the ongoing progress in refining the model to better handle such details.
Concluding with an overall positive assessment of the direction and rapid progress of stable diffusion in the field of photorealism.