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 on using a more structured English sentence as a prompt, inspired by their experiences with large language models like GPT-3. They recommend using the DPM++ SD Kara sampler, setting the batch count to two, and a resolution of 768x768. Binks also cautions about potential NSFW content on the Civet AI site, where the Realistic Vision version 1.2 model can be downloaded. The model is praised for its high-resolution outputs and versatility, though it tends to generate similar faces. Binks demonstrates modifying prompts to achieve different results and encourages viewers to explore AI for world-building and creative inspiration. They also mention that updates to the model may address the issue of drifting away from the original subject.
Takeaways
- 🎨 The video discusses a photorealistic workflow with Stable Diffusion, a type of AI image generation.
- 📈 Binks shares settings and a prompt structure that leads to stunning results in image generation.
- 🔍 Binks has transitioned from a keyword approach to a more structured English sentence for prompts.
- 🤖 The use of large language models like GPT-3 from OpenAI has been influential in refining the prompts.
- 🌟 DPM++ SD Kara sampler is Binks' preferred method for generating images.
- 📏 A higher resolution of 768 by 768 pixels is used for more detailed images.
- 🧐 The Realistic Vision version 1.2 model from Civet AI is highlighted for its quality.
- ⚠️ There's a caution about potentially NSFW content on the Civet AI site.
- 🔗 Binks provides a link to a playlist of his Stable Diffusion videos for further learning.
- 🧑🎨 The AI is used for world-building inspiration, particularly for a medieval fantasy game.
- 📝 Binks encourages viewers to experiment with prompts and not get discouraged, as understanding Stable Diffusion takes time.
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.
What is the role of the DPM plus plus SD Kara sampler in the process?
-The DPM plus plus SD Kara sampler is used for generating the images, and it is the presenter's favorite tool for this purpose.
What are the dimensions used for the image generation?
-The dimensions used for image generation are 768 by 768 pixels, which is slightly higher resolution than the standard.
What is the name of the model used in the video?
-The model used in the video is called Realistic Vision version 1.2, which is from Civet AI.
Why is there a warning about the website hosting the Realistic Vision model?
-There is a warning because the website may contain NSFW (Not Safe For Work) content, which could be inappropriate for some users.
What is the file size of the Realistic Vision model?
-The file size of the Realistic Vision model is 3.8 gigabytes.
What is a common issue with the model when generating images?
-A common issue is that the model tends to generate similar faces, especially when using a high denoising strength in image-to-image transformations.
How does the presenter suggest modifying the prompts for better results?
-The presenter suggests modifying the prompts to be more structured English sentences, similar to how large language models like GPT-3 operate.
What is the presenter's approach to using the AI for world-building?
-The presenter uses AI for world-building as a hobby, particularly for designing a medieval fantasy world for a game they are working on.
What does the presenter recommend for those who are new to Stable Diffusion?
-The presenter recommends not getting discouraged, as it takes time to understand and get used to Stable Diffusion, and encourages viewers to look at their other videos on the topic.
How can viewers get more information or ask questions about the video?
-Viewers can leave comments, subscribe, and like the video to get more information or ask questions.
What is the presenter's final message to the viewers?
-The presenter's final message is to keep having fun with AI, and they will continue to provide content to help viewers learn more about Stable Diffusion.
Outlines
🎨 Experimenting with Stable Diffusion and Photorealistic Workflow
Binks introduces the video by sharing his recent experiments with stable diffusion and a photorealistic workflow. He mentions that the video will not be a traditional tutorial but will provide settings and a copy-paste prompt in the comments section. Binks discusses his shift from using keywords to a more structured English sentence approach, inspired by large language models like GPT-3 and ChatGPT. He demonstrates the use of the DPM++ SD Kara sampler, his preferred settings, and the importance of using the specific Realistic Vision version 1.2 model from Civet AI. Binks also shares a caution about potential NSFW content on the Civet AI site and provides a download link. He notes that the model tends to generate similar faces and may drift from the original subject with high denoising strength. The video showcases stunning results from the model and Binks plans to modify prompts to better understand the model's capabilities.
🌐 Using AI for World Building and Creative Inspiration
Binks shares his personal use of AI for world-building, particularly in designing a medieval fantasy world for a game. He encourages viewers to keep experimenting with stable diffusion for fun and inspiration, acknowledging that it may take time to get used to. Binks promises to continue providing 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 leave comments with any questions and to subscribe for more content.
Mindmap
Keywords
💡Stable Diffusion
💡Photorealistic
💡Workflow
💡Prompt
💡Negative Prompt
💡DPM++ SD Kara Sampler
💡Resolution
💡Restore Faces
💡Realistic Vision Version 1.2
💡NSFW Content
💡Image to Image
💡World Building
Highlights
Binks introduces a new photorealistic workflow using Stable Diffusion.
The video will showcase settings and provide a copy-paste prompt for viewers.
Binks has been experimenting with a language model approach for prompts.
GBT3 and Chat GPT from Open AI have been influential in the process.
The DPM++ SD Kara sampler is Binks' preferred choice for image generation.
Batch count is increased to two for higher resolution images.
Image resolution is set to 768 by 768 pixels.
A convex scale of seven is used for image generation.
The 'restore faces' option is checked for better facial features.
Realistic Vision version 1.2 model from Civet AI is used for generating images.
Caution is advised as there may be NSFW content on the Civet AI site.
The model download size is 3.8 gigabytes, which is relatively small compared to others.
The model tends to generate similar faces, which could be improved in future updates.
The generated images are stunning and can be upscaled for further use.
Binks demonstrates modifying prompts for more versatility in image generation.
AI is being used for world-building and game design inspiration.
Binks encourages viewers to keep experimenting with AI and Stable Diffusion.
The video includes a playlist link for all Stable Diffusion videos by Binks.
Feedback and questions from viewers are encouraged in the comments section.