HOW TO CREATE PHOTOREALISTIC AI IMAGES | Stable Diffusion
TLDRIn this video, Binks introduces viewers to a photorealistic workflow using Stable Diffusion, a process they've been experimenting with recently. Binks shares their findings, emphasizing the impressive results they've achieved. They discuss transitioning from a keyword-based approach to a more structured English sentence format for prompts, inspired by their experience with large language models like GPT-3. Binks highlights the use of the DPM++ SD Kara sampler and the Realistic Vision version 1.2 model from Civet AI, noting its high-resolution capabilities and the need to be cautious of NSFW content on the site. They also mention the model's tendency to generate similar faces and drift from the original subject when given too much denoising strength. Binks provides tips for modifying prompts to achieve versatile results and shares how they've been using AI for world-building in a medieval fantasy game. The video encourages viewers to keep exploring AI and offers a helpful guide for those new to Stable Diffusion.
Takeaways
- 🎨 The video discusses a photorealistic workflow using Stable Diffusion, a technique that the presenter has been experimenting with to achieve impressive results.
- 📝 Binks shares that the video will be less of a tutorial and more about experimenting with Stable Diffusion settings, which will be provided in the comments.
- 🔄 Binks has transitioned from a keyword-based approach to a more structured English sentence, inspired by large language models like GPT-3, which has yielded positive outcomes.
- 🖼️ The DPM++ SD Kara sampler is the preferred choice for generating images, with a batch count of two and a resolution of 768x768 pixels.
- ✨ The use of the Realistic Vision version 1.2 model from Civet AI is highlighted, which is known for producing high-quality images.
- ⚠️ A caution is given about the presence of NSFW content on the Civet AI site, which can be disabled by users who prefer not to see it.
- 🔗 Binks provides a link to a playlist of all his Stable Diffusion videos for further learning.
- 🔍 The video demonstrates the versatility of the Realistic Vision model by modifying prompts and generating a variety of images.
- 🧩 Binks mentions that the model sometimes generates similar faces, which could be due to the denoising strength or the freedom given to the model during image generation.
- 🌐 The video emphasizes the potential of AI for world-building, particularly in the context of a medieval fantasy game that Binks is working on.
- 💡 Binks encourages viewers not to get discouraged with Stable Diffusion, as it may take time to understand and master, but assures that he will continue to provide helpful content.
Q & A
What is the topic of the video?
-The video is about creating photorealistic AI images using Stable Diffusion and a photorealistic workflow.
Who is the presenter of the video?
-The presenter of the video is Binks.
What is the approach Binks has been experimenting with for Stable Diffusion prompts?
-Binks has been experimenting with a more English structured sentence approach, similar to how large language models like GPT-3 work.
What sampler does Binks prefer to use with Stable Diffusion?
-Binks prefers to use the DPM++ SD Kara sampler.
What is the resolution Binks sets for the images generated by Stable Diffusion?
-Binks sets the resolution to 768 by 768 pixels.
Which version of Stable Diffusion does Binks recommend for photorealistic images?
-Binks recommends using the Realistic Vision version 1.2 model from Civet AI.
What is the download size of the Realistic Vision version 1.2 model?
-The download size of the Realistic Vision version 1.2 model is 3.8 gigabytes.
What is a potential issue Binks found with the Realistic Vision model?
-Binks found that the model tends to generate similar faces, especially when using high denoising strength in image-to-image tasks.
How does Binks suggest modifying prompts for more versatile results?
-Binks suggests changing the structure of the prompt to include different descriptions and characteristics to achieve more diverse outcomes.
What is Binks' advice for those who are new to using Stable Diffusion?
-Binks advises not to get discouraged, as it takes time to understand and get used to Stable Diffusion, and to keep experimenting with it.
How does Binks use AI in his personal projects?
-Binks uses AI for world-building, specifically for designing a medieval fantasy world for a game he is working on.
What does Binks encourage viewers to do if they have questions about the video content?
-Binks encourages viewers to leave comments, like, and subscribe, and he will address their questions in future videos.
Outlines
🎨 Experimenting with Stable Diffusion for Photorealistic Art
In this video, Binks introduces viewers to a new approach to using stable diffusion for creating photorealistic images. Binks shares his recent experiments with a more structured English sentence prompt, inspired by large language models like GPT-3, which has yielded impressive results. He demonstrates the process, including the use of the DPM++ SD Kara sampler, and provides settings details such as a batch count of two and a resolution of 768x768. Binks also mentions the need to download the specific model, Realistic Vision version 1.2 from Civet AI, and cautions about potential NSFW content on the site. He discusses the model's tendency to generate similar faces and the possibility of future updates addressing this issue. The video showcases the stunning results achievable with stable diffusion, emphasizing the model's versatility and potential for creative exploration.
🌐 Using AI for World Building and Creative Inspiration
Binks discusses how he has been utilizing AI for his hobby of world-building, specifically for a medieval fantasy game he is developing. He shares his enthusiasm for the creative potential of AI and encourages viewers to continue experimenting with stable diffusion, despite the learning curve. Binks offers to keep producing content on the topic and invites viewers to watch his other videos on stable diffusion, which have been found useful by many. He also encourages viewers to ask questions and engage with the content by leaving comments, liking, and subscribing to his channel.
Mindmap
Keywords
💡Stable Diffusion
💡Photorealistic
💡Workflow
💡Prompt
💡Negative Prompt
💡DPM++ SD Kara Sampler
💡Resolution
💡Denoising Strength
💡Realistic Vision Version 1.2
💡NSFW Content
💡Upscale
💡World Building
Highlights
Binks introduces a new photorealistic workflow with Stable Diffusion
The video will show settings and provide a prompt and negative prompt in the comments section
Experimenting with a large language model approach for prompts, inspired by GPT-3
Using DPM++ SD Kara sampler for image generation
Batch count set to two for higher resolution images
Image resolution set to 768 by 768 pixels
convex scale of seven is used for image detail
Restoring faces feature is checked for better facial details
Realistic Vision version 1.2 model from Civet AI is recommended for photorealism
Caution advised due to potential NSFW content on the Civet AI site
The model size is 3.8 gigabytes, suitable for the quality it provides
Tendency of the model to generate similar faces noted as a minor drawback
Future updates are expected to improve the model's performance
Stable Diffusion results are astonishingly good right off the bat
Modifying prompts to understand how Realistic Vision operates
Negative prompts effectively avoid unwanted image features
Demonstration of the model's versatility with different prompts
AI used for world-building and game design inspiration
Encouragement to keep experimenting with AI for fun and creativity
Binks will continue to provide content on Stable Diffusion