HOW TO CREATE PHOTOREALISTIC AI IMAGES | Stable Diffusion
TLDRIn this video, Binks introduces a photorealistic workflow using Stable Diffusion, a method that involves structuring prompts similar to language models. By experimenting with various settings and negative prompts, Binks demonstrates how to achieve stunning results. The video also highlights the use of Realistic Vision version 1.2 from Civet AI for enhanced image quality and shares tips on avoiding common issues like repetitive facial features. Binks encourages viewers to explore AI for inspiration and world-building, promising more content to help them master Stable Diffusion.
Takeaways
- 🎨 The video discusses a photorealistic workflow using Stable Diffusion, a tool for generating AI images.
- 👋 Binks, the video creator, shares their experience and results with Stable Diffusion over the past few days.
- 📝 The video is less of a tutorial and more about showcasing settings, prompts, and results.
- 🔗 Binks provides a link to a playlist of Stable Diffusion videos and encourages viewers to explore them.
- 🌐 The video talks about transitioning from a keyword approach to a more structured English sentence for prompts.
- 🤖 Binks has been experimenting withGBT3 and Chat GPT from Open AI, which inspired the change in prompt style.
- 🖼️ The video demonstrates the use of DPM plus plus SD Kara sampler for image generation with a resolution of 768 by 768.
- 🚫 Binks warns about potential NSFW content on the Civet AI site where the Realistic Vision version 1.2 model is downloaded from.
- 📈 The Realistic Vision version 1.2 model is praised for its quality despite being a smaller download size compared to other models.
- 🌐 Binks shares insights on how AI has been helpful for their world-building hobby, specifically for a medieval fantasy game they're working on.
Q & A
What is the main topic of the video?
-The main topic of 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 has Binks been experimenting with in the past couple of days?
-Binks has been experimenting with Stable Diffusion and a photorealistic workflow, using a more English structured sentence approach.
What is the role of GBT3 and Chat GPT in Binks' experiment?
-GBT3 and Chat GPT from Open AI have been used by Binks to experiment with text completion in a way similar to how Stable Diffusion works with image generation.
What is the recommended sampler for generating images in the video?
-The recommended sampler for generating images in the video is DPM plus plus SD Kara sampler.
What resolution does Binks usually set for the images?
-Binks usually sets the width to be 768 by 768, which is a bit higher resolution than what is considered normal.
What model version is Binks using in the video?
-Binks is using the Realistic Vision version 1.2 model in the video.
Where can viewers find the link to download the Realistic Vision version 1.2 model?
-The link to download the Realistic Vision version 1.2 model will be provided in the description of the video.
What is the file size of the Realistic Vision version 1.2 model?
-The file size of the Realistic Vision version 1.2 model is 3.8 gigabytes.
What is a common issue Binks found with the model when generating images?
-A common issue Binks found is that the model tends to generate similar faces, especially when an image to image is upscaled with too high of a denoising strength.
How does Binks use AI in his personal projects?
-Binks uses AI a lot for his world-building hobby, specifically for designing a medieval fantasy world for a game he is working on.
What advice does Binks give to those who are new to using Stable Diffusion?
-Binks advises new users not to get discouraged as it takes a bit of time to get used to and understand Stable Diffusion, and he promises to keep creating content to help.
Outlines
🎥 Introduction to Stable Diffusion and Photorealistic Workflow
In this introductory paragraph, Binks welcomes the audience to a new video focused on exploring Stable Diffusion and a photorealistic workflow. Binks shares his excitement about the results of his recent experiments and outlines the structure of the video. He mentions that the video will not be a traditional tutorial but will include settings and prompt examples in the comments section. Binks also discusses changing his approach from keywords to a more structured English sentence, inspired by his experience with GPT-3 and Chatbot from OpenAI. The video highlights the use of DPM plus plus SD Kara sampler and the preferred settings for width, resolution, and denoising strength. Binks warns viewers about NSFW content on the Civet AI website and shares his experiences with the Realistic Vision version 1.2 model, noting its benefits and drawbacks.
🌟 Using AI for World Building and Creative Inspiration
In the concluding paragraph, Binks discusses his personal use of AI in world-building for a medieval fantasy game. He encourages viewers to continue exploring Stable Diffusion and shares his commitment to providing more content on the topic. Binks invites viewers to check out his other videos for further guidance and encourages them to leave comments, like, and subscribe for future content. He ends the video by expressing gratitude for the viewers' support and participation.
Mindmap
Keywords
💡Stable Diffusion
💡Photorealistic Workflow
💡Prompts
💡GBT3 and Chat GPT
💡DPM Plus Plus SD Kara Sampler
💡Resolution
💡Restore Faces
💡Realistic Vision Version 1.2
💡NSFW Content
💡Upscaling
💡World Building
Highlights
Introduction to Stable Diffusion and photorealistic workflow experimentation.
Shift from keyword-based prompts to a more structured English sentence approach.
Integration ofGBT3 and ChatGPT from OpenAI for a more refined Stable Diffusion experience.
Use of DPM plus plus SD Kara sampler for image generation.
Preference for a 768x768 resolution for higher quality images.
Restoration of faces in generated images for better realism.
Utilization of the Realistic Vision version 1.2 model from Civet AI.
Warning about NSFW content on the Civet AI site and how to disable it.
The 3.8 GB download size of the Realistic Vision model and its capabilities.
Observation that the model tends to generate similar faces and its tendency to drift.
Potential future updates to address the model's drift away from the original subject.
Demonstration of the versatility of the Stable Diffusion model with modified prompts.
The use of AI for world-building, especially in designing a medieval fantasy world for a game.
Encouragement for users to continue exploring Stable Diffusion and its potential.
Reference to other videos by the creator for further learning and inspiration.
Invitation for viewers to leave comments, like, and subscribe for more content.