Best AI Photorealism yet? NEW Model!
TLDRThe video script discusses advancements in generative AI for photorealistic images, highlighting a new model trained on realism and its application in creating detailed portraits. The creator shares their process of refining the images by addressing common issues like skin texture and eye detailing, and demonstrates the model's effectiveness through live renders. They also recommend specific models and 'laura' (likely a typo for 'layers') for achieving better realism, showcasing the progress in the field and offering tips for users to experiment with.
Takeaways
- 🚀 The journey towards achieving photorealistic images with Stable Diffusion is ongoing, with significant progress being made.
- 🎨 A new model is introduced that is specifically trained on realism, aiming to create more photorealistic images.
- 👀 Improvements in eye rendering are highlighted, with the addition of 'detail eyes' to enhance the realism of the portraits.
- 🌞 The importance of skin texture in achieving realism is discussed, with suggestions to use terms like 'dry skin' and 'visible skin hair' to improve渲染效果.
- 🎬 The speaker shares their admiration for the 'Space Odyssey 2001' aesthetic and how the new model captures a similar feel.
- 📸 The model 'Realistic Stock Photos' is recommended for its plain and regular old images, resembling stock photos used in professional settings.
- 💎 The speaker emphasizes the value of imperfections in images, such as blemishes and birthmarks, for achieving a more natural and authentic look.
- 🌈 Different styles, like 'Cinematic' and 'Analog Fill', are experimented with to achieve various aesthetic outcomes.
- 👗 A transformation of a portrait into a fashion model on the runway is demonstrated, showcasing the versatility of the AI in adapting to different themes.
- 🛠️ The use of 'Juggernaut Cinematic Lora' is mentioned for adding a cinematic vibe to the images, though it may not always produce the desired level of realism.
- 📈 The progress of Stable Diffusion is praised, with the current models producing better results than previous versions, requiring less manual inpainting for realistic faces.
Q & A
What is the main topic of the video script?
-The main topic of the video script is the exploration of creating photorealistic images using AI and stable diffusion, specifically focusing on improving the realism of portraits through the use of new models and techniques.
What is the significance of the image of the man astronaut in the video script?
-The image of the man astronaut is significant because it serves as an example of a high-quality, photorealistic image that the speaker believes closely resembles the aesthetic of the movie 'Space Odyssey 2001'. It illustrates the potential of the AI models being discussed.
What is the main challenge the speaker addresses regarding skin texture in AI-generated images?
-The main challenge addressed is that the skin texture in AI-generated images often appears unrealistically oily and plastic. The speaker discusses techniques to improve this, such as adding skin blemishes and visible skin hair, to achieve a more natural and authentic look.
What is the 'realistic stock photos' model mentioned in the script, and how is it used?
-The 'realistic stock photos' model is a new AI model trained specifically on realism, using stock photos for close-up images of people. It is used to enhance the photorealism of AI-generated images, providing a more natural and plain look that resembles regular photographs, such as selfies or stock photos.
How does the speaker suggest improving the realism of eyes in AI-generated images?
-The speaker suggests using a 'detail eyes' model to improve the realism of eyes in AI-generated images. This model focuses on creating more detailed and accurate eye renderings, which can help to enhance the overall photorealism of the portraits.
What is the role of the 'Juggernaut cinematic' and 'analog fill' styles in the video script?
-The 'Juggernaut cinematic' and 'analog fill' styles are used to modify the aesthetic of the AI-generated images. The 'Juggernaut cinematic' adds a cinematic vibe and color grading to the images, while the 'analog fill' gives them a vintage, old photo feel. These styles can be mixed and matched to achieve the desired look for the image.
How does the speaker feel about the progress of stable diffusion and its potential in photorealism?
-The speaker is very positive about the progress of stable diffusion and its potential in photorealism. They express satisfaction with the direction the technology is taking and the improvements in image quality, noting that it now requires less manual in-painting compared to previous versions.
What is the importance of imperfections in achieving photorealistic images?
-Imperfections are important in achieving photorealistic images because they add authenticity and realism. Real life and human features are not perfectly symmetrical or flawless, so including imperfections such as skin blemishes and visible skin hair helps the images look more natural and true to life.
What is the significance of the portrait of a Viking woman warrior sitting in a coffee shop?
-The portrait of a Viking woman warrior sitting in a coffee shop serves as an example of how the AI models can be used to create unique and varied images with different styles. Despite some issues with the hand rendering, the image illustrates the potential for creative exploration and the ability to combine historical and modern elements.
What are some of the techniques mentioned in the script to enhance the photorealism of AI-generated images?
-The script mentions several techniques to enhance photorealism, including adding skin blemishes and visible skin hair for more natural-looking skin, using the 'realistic stock photos' model for a plain and regular image aesthetic, applying the 'detail eyes' model for more realistic eyes, and using different styles like 'Juggernaut cinematic' and 'analog fill' to achieve various aesthetics.
Outlines
🎨 Journey to Photorealism with AI
The paragraph introduces the quest for achieving the best photorealistic images using generative AI, specifically focusing on stable diffusion. The speaker welcomes the audience and expresses excitement about presenting a new model that brings them closer to their goal. The discussion includes the creation of realistic images, such as a portrait of an astronaut reminiscent of 'Space Odyssey 2001', and the exploration of live renders like detailed portraits of a woman and a sunset at the beach. The main theme is enhancing photorealism by addressing common issues with skin texture and using a new model trained on realism. The paragraph concludes with a live demonstration of the model's capabilities and the results it produces.
👁️ Improving Eye Detail and Skin Texture
This paragraph delves into the challenges of achieving detailed and realistic eyes in AI-generated images, acknowledging that while there's progress, there's still room for improvement. The speaker showcases examples of images with better eye details, emphasizing the shift from problematic renderings to more realistic ones. The focus then shifts to enhancing skin texture by adding blemishes and imperfections to make the images appear more natural and authentic. The paragraph discusses the use of specific models and 'laras' (likely a term for additional AI components) to achieve these improvements. It also touches on the use of different styles, such as cinematic and vintage, to alter the final look of the images. The speaker shares their enthusiasm for the advancements in AI, particularly in the realm of photorealism, and concludes with a brief mention of the progress made from previous versions of stable Fusion.
Mindmap
Keywords
💡Photorealism
💡Generative AI
💡Stable Diffusion
💡Model Training
💡Skin Texture
💡Eyes Detail
💡Imperfections
💡Cinematic Vibe
💡Vintage Style
💡Image Rendering
💡Model Refinement
Highlights
The journey to find the best photorealistic images with stable diffusion is ongoing, and significant progress has been made.
A new model is introduced that is preferred for its ability to create photorealistic images.
The importance of adding lures to the model to address its failures, particularly in rendering eyes and skin texture, is emphasized.
The speaker shares their admiration for the movie Space Odyssey 2001, drawing a parallel between the quality of the generated images and the aesthetics of the film.
Live renders of detailed portraits are showcased, demonstrating the model's capability to produce photorealistic images.
The issue with the skin texture appearing oily and plastic in previous models is discussed, highlighting the progress made with the current model.
The speaker provides practical tips on achieving more realistic skin textures by using terms like 'dry skin', 'skin fast', and 'visible skin hair'.
A live render example is given, showing the application of these tips in creating a portrait of a woman from the 17th century.
The model 'Realistic Stock Photos' is recommended for its ability to generate plain and regular images, akin to stock photos.
The speaker expresses their preference for plain, realistic images over hyped-up, overly aestheticized ones, especially for professional use.
Instructions are provided on how to download and install the recommended models for use in various user interfaces.
The 'Detail Eyes' model is mentioned as a tool to enhance the detail and realism of the eyes in the generated images.
The speaker shares their excitement about the progress of stable diffusion and its potential in creating more realistic images with less need for in-painting.
An example is given of transforming a generated image from a cinematic style to a vintage, analog style, showcasing the versatility of the models.
The attempt to render a Viking woman warrior in a coffee shop is discussed, with observations on the challenges and improvements in the model.
The speaker concludes by reflecting on the overall fantastic results and the rapid progress of stable diffusion in the field of photorealism.