Which Should You Choose? Stable Diffusion 1.5 or SDXL?
TLDRThis video transcript discusses the differences between Stable Diffusion 1.5 and SDXL, highlighting the native resolutions, optimal sizes, and the impact on image quality. It demonstrates that SDXL supports higher resolutions and is less prone to deformities in larger image sizes. The video also compares the need for negative prompts and the use of filters in both models, showing that SDXL produces better results with less effort. Additionally, it introduces the refiner model exclusive to SDXL, which enhances image details. The speaker recommends starting with SDXL for easier prompting but acknowledges that mastering SD 1.5 can yield impressive results.
Takeaways
- 🌟 Stable Diffusion 1.5 and SDXL are two versions of a foundational model used in playground, with 1.5 being the older model.
- 📸 SDXL has a higher native resolution (1024x1024) compared to Stable Diffusion 1.5 (512x512), allowing for higher quality images.
- 🚫 When using Stable Diffusion 1.5 beyond its optimal size, there's a higher chance of image deformities such as double heads or deformed limbs.
- 📈 SDXL can handle larger image sizes, like 1536x640, with less likelihood of the deformities seen in 1.5.
- 🔍 In the demonstration, using a simple prompt with Stable Diffusion 1.5 at 512x512 resulted in somewhat similar but not great images.
- 🎨 Increasing the resolution to 1024x768 with the same prompt led to more noticeable issues, such as weird compositions and cropped images.
- 👍 Switching to SDXL with the same prompt and settings resulted in better image quality and fewer deformities.
- 🛠️ SDXL includes a refiner model that can enhance details in the images, which can be adjusted using a refinement slider.
- 🎥 The refiner model can make details more defined and intricate, but overuse may lead to a messy outcome.
- 🏷️ Filters can be used with both models, but SDXL benefits less from negative prompts and can produce better results at larger dimensions without filters.
- 📝 The choice between SDXL and 1.5 depends on personal preference; SDXL is easier to prompt for beginners, while mastering 1.5 can lead to amazing SDXL images.
Q & A
What are the two versions of Stable Diffusion discussed in the script?
-The two versions of Stable Diffusion discussed are Stable Diffusion 1.5 and Stable Diffusion XL.
What is the native resolution of Stable Diffusion 1.5?
-The native resolution of Stable Diffusion 1.5 is 512x512.
What is the native resolution of Stable Diffusion XL?
-The native resolution of Stable Diffusion XL is 1024x1024.
What happens when using Stable Diffusion 1.5 beyond its optimal size?
-When using Stable Diffusion 1.5 beyond its optimal size, the images may be prone to deformities such as double heads and other anomalies.
What is one advantage of Stable Diffusion XL over the 1.5 version?
-One advantage of Stable Diffusion XL is that it can handle higher resolutions, such as 1536x640, with less likelihood of deformities.
How does the use of negative prompts affect the results of Stable Diffusion 1.5?
-Using negative prompts with Stable Diffusion 1.5 can help improve the quality and coherence of the generated images, reducing the occurrence of cropped or poorly composed images.
What is the purpose of the refiner model in Stable Diffusion XL?
-The refiner model in Stable Diffusion XL helps enhance details in the generated images, making intricate details more defined and visible.
How can you tell which filters belong to which version of Stable Diffusion?
-When you select Stable Diffusion XL, the available filters for it will be automatically populated in the filter menu. The labels at the top left corner of the canvas indicate which filters belong to which version.
What is the main factor in deciding which model to use between Stable Diffusion 1.5 and XL?
-The main factor in deciding which model to use is personal preference. If you're new to prompting, starting with Stable Diffusion XL is recommended as it's easier to prompt. However, achieving great results with Stable Diffusion 1.5 can also lead to amazing images.
What does the speaker suggest about the use of filters with Stable Diffusion 1.5?
-The speaker suggests that using filters with Stable Diffusion 1.5 can dramatically improve the coherency and aesthetics of the generated images, even at larger dimensions.
What is the speaker's plan for addressing questions in future videos?
-The speaker plans to answer more questions from viewers in future videos, considering doing them once a month, and will look at support questions for content.
Outlines
🖼️ Comparison of Stable Diffusion 1.5 and SDL 1.5
This paragraph discusses the differences between the Stable Diffusion 1.5 and the XL version (referred to as 'Excel' in the text). The primary distinction lies in their native resolutions, with 1.5 being 512x512 and XL being 1024x1024. The XL version is capable of higher resolutions and is less prone to deformities such as double heads when the optimal size is exceeded. The speaker illustrates this by comparing images generated with both models and discusses the impact of using different prompts and resolutions. It is noted that Stable Diffusion 1.5 may require more negative prompts and filters to achieve better results, whereas the XL model can handle larger aspect ratios more effectively without additional filters.
🔍 Introduction to the Refiner Model in SDL 1.5
This paragraph introduces the refiner model as an additional feature in the Stable Diffusion XL (referred to as 'Excel') version. The refiner enhances details in the generated images, as demonstrated by the speaker who adjusts the refinement slider to show the difference in detail between an image with and without refinement. The speaker advises caution as overusing the refiner can lead to messy results. The paragraph also explains how to identify the appropriate filters for each model, with specific labels in the filter menu for both SD 1.5 and SDL 1.5. The speaker recommends starting with SDL 1.5 for easier prompting but acknowledges that achieving great results with SD 1.5 can yield amazing images. The paragraph concludes with the speaker's intention to address more questions in upcoming videos.
Mindmap
Keywords
💡Stable Diffusion 1.5
💡Stable Diffusion XL
💡Native Resolutions
💡Deformities
💡Prompts
💡Filters
💡Refiner Model
💡Dynamic Range
💡Aesthetics
💡Negative Prompts
💡Canvas
Highlights
Stable Diffusion 1.5 and SDXL are two versions of a foundational model used in playground.
SD 1.5 is an older model compared to SDXL, which was released in the past summer.
The native resolution of SD 1.5 is 512x512, while SDXL has a higher resolution of 1024x1024.
SDXL can produce images with higher resolutions, such as 1536x640, with less likelihood of deformities.
When using SD 1.5, going beyond optimal sizes may result in deformities like double heads.
Examples are provided to illustrate the differences in image quality between the two models.
Increasing the resolution to 1024x768 with SD 1.5 may lead to out of proportion and weird-looking images.
SDXL produces better overall image quality even without the use of negative prompts or filters.
SD 1.5 requires more negative prompts to achieve coherent and acceptable images.
The use of filters, such as realistic vision, can dramatically improve the coherency and aesthetics of SD 1.5 images.
SDXL has a refiner model that enhances details, making it advantageous for images requiring fine details.
The refiner should be used sparingly to avoid making the image messy.
Filters are automatically populated in the filter menu depending on the selected model.
Starting with SDXL is recommended for easier prompting, but achieving great results with SD 1.5 can also lead to amazing images.
The video aims to provide a better understanding of the differences between the two models and their practical applications.
The presenter plans to answer more questions in upcoming videos to enhance user understanding.