Optimize Easy Diffusion For SDXL 1.0

Monzon Media
24 Aug 202306:17

TLDRThis video offers Easy Diffusion users tips to optimize Stable Diffusion XL (SDXL) 1.0 performance. The creator shows how to reduce render times from two to three minutes to about 65 seconds using a few tweaks. Steps include disabling live preview, adjusting GPU memory settings, and manually installing xformers. The video explains how to refine images using the SDXL model and compares results with different prompt strengths. While the refiner feature is covered, the creator suggests it’s not always necessary. For more control, tools like ComfyUI are recommended.

Takeaways

  • ⚙️ To optimize Easy Diffusion for SDXL 1.0, make several configuration changes to reduce render times.
  • 🔍 Toggle off 'Show Live Preview' to reduce the generation time by a few seconds.
  • 🖥️ Set GPU memory usage to 'Low' in the settings, especially if you have a VRAM-hungry GPU like an 8GB one.
  • 🚀 Ensure you're on version 3.0.2 of Easy Diffusion for compatibility with the latest optimizations.
  • 💾 Manually install xformers to further improve GPU performance, as there is no built-in toggle for it in Easy Diffusion.
  • 🛑 If xformers installation causes issues, refer to Easy Diffusion's Discord or uninstall the steps provided in the video.
  • 🖼️ The first render after changes may take longer, but subsequent renders should be faster.
  • ⏱️ The current average render time is around 65 seconds for a 1024x1024 image, which is faster than the previous 2-3 minute times.
  • 🔧 The 'Refiner' can be used for added detail, but it only works with image-to-image. It may not always improve results, and slight details can be lost.
  • 🖌️ ControlNet is now supported in Easy Diffusion; users are encouraged to provide feedback if they want more coverage on this feature.

Q & A

  • What is the main focus of the video?

    -The video focuses on optimizing Easy Diffusion for SDXL 1.0, with tips to reduce render times and improve performance.

  • What model is being used for the tests mentioned in the video?

    -The MBB Excel Ultimate SDXL model is used for the tests.

  • What resolution and steps are used for testing in the video?

    -The tests are conducted at a resolution of 1024x1024 with 30 steps.

  • How long does the presenter’s system take to render at 1024x1024 resolution?

    -The render time is 65 seconds at 1024x1024 resolution.

  • What are two key changes mentioned to reduce render time?

    -Disabling 'Show live preview' and setting 'GPU memory usage' to low are recommended to reduce render time.

  • What does the presenter recommend if you have a 12 GB VRAM card?

    -If you have a 12 GB VRAM card, you can likely use the 'balanced' setting for GPU memory usage.

  • Why does the presenter recommend installing xFormers, and how is it installed?

    -xFormers helps speed up GPU performance in Easy Diffusion. It is installed manually by running commands in the developer console.

  • What is the impact of recording on the render time?

    -Recording increases the render time, as shown when the render time increased from 65 seconds to 78 seconds while recording.

  • What does the presenter suggest about using the refiner in Easy Diffusion?

    -The presenter suggests that the refiner should only be used in image-to-image mode and shares that they do not use the refiner often.

  • What additional feature does Easy Diffusion now support?

    -Easy Diffusion now supports ControlNet.

Outlines

00:00

⚡ Speeding Up Render Times in Easy Diffusion

In this section, the speaker addresses users of Easy Diffusion who feel left out amidst the SDXL hype due to longer render times. The speaker shares their render time of 65 seconds using a 1024x1024 resolution with the MBB Excel Ultimate SDXL model and 30 steps. While not the fastest, the speaker explains several tips to improve render speed, such as disabling live preview, lowering GPU memory usage, and enabling beta in diffusers. They also suggest shutting down Easy Diffusion and installing Xformers manually, guiding users through the installation process step-by-step, though warning of potential issues if done incorrectly. The speaker directs users to the Easy Diffusion Discord for additional support if problems arise.

05:01

🔧 Using the Refiner and Comparing Image Details

The second section focuses on using the refiner in Easy Diffusion, although the speaker notes it's not the 'proper way' to use it. They demonstrate how changing the prompt strength between 0.2 and 0.3 affects image details, particularly in the eyes and teeth. By zooming in, they show how higher prompt strength adds detail to the teeth but smoothens areas like the shoulders. Despite this, the speaker prefers not to use the refiner and suggests an alternative method using Comfy UI. The section concludes with a mention of new support for ControlNet in Easy Diffusion and an invitation for viewers to comment if they'd like further coverage on this feature.

Mindmap

Keywords

💡Easy Diffusion

Easy Diffusion is a user-friendly interface for generating images using AI models like Stable Diffusion. In the video, it is the platform being optimized to improve rendering times when using SDXL 1.0 models. The speaker discusses steps to reduce rendering times on this platform.

💡SDXL 1.0

SDXL 1.0 refers to the latest version of the Stable Diffusion model, which is used for generating high-quality images. The video focuses on optimizing this model within Easy Diffusion, highlighting its demand for GPU resources and steps to improve efficiency.

💡Render Time

Render time refers to the duration it takes for the AI model to generate an image. In the video, the speaker mentions reducing their render time from 2-3 minutes to around 65 seconds for a 1024x1024 image by optimizing settings in Easy Diffusion.

💡Steps

Steps are iterations the model goes through to generate an image. The speaker mentions using 30 steps for their tests, which balances render time and image quality. Reducing steps can speed up rendering but may affect image clarity.

💡Show Live Preview

The 'Show Live Preview' option in Easy Diffusion provides a visual update of the image generation process as it progresses. The speaker advises turning this feature off to save a few seconds on render time, especially when optimizing for faster performance.

💡GPU Memory Usage

GPU Memory Usage refers to how much of the graphics card’s VRAM is allocated for image generation. The speaker suggests setting it to 'Low' in Easy Diffusion to manage the resource-heavy SDXL 1.0 model and reduce render times, especially on GPUs with less VRAM.

💡Xformers

Xformers is a tool that optimizes GPU performance for AI models like Stable Diffusion. In the video, the speaker explains how to manually install Xformers in Easy Diffusion to reduce render times, as the platform does not have a built-in installation method.

💡Refiner

The Refiner is an additional step in image generation that enhances detail, especially for aspects like eyes and teeth. The speaker discusses using the refiner in image-to-image mode and demonstrates how varying prompt strength affects the final image quality.

💡Prompt Strength

Prompt strength controls how much influence the text prompt has over the final image. In the video, the speaker tests different prompt strengths (0.2 and 0.3) when using the refiner, showing how it impacts the detail in the eyes and teeth of the generated image.

💡ComfyUI

ComfyUI is another user interface for AI image generation. The speaker mentions preferring ComfyUI for tasks that require more complex setups, like using the refiner with noise steps, as it provides more flexibility than Easy Diffusion.

Highlights

Easy Diffusion users may feel left out with the hype surrounding SDXL 1.0, but this guide helps optimize performance to achieve faster render times.

The initial render time with the default settings was 2-3 minutes, but optimizations reduced this to just 65 seconds for a 1024x1024 image using the MBB Excel Ultimate SDXL model.

Turning off 'Show Live Preview' can shave off a few seconds from your generation time.

Adjusting GPU memory usage to 'Low' helps improve performance, especially if using a GPU with limited VRAM (e.g., 8 GB).

Ensure that you have the 'Beta and Diffusers' option enabled in your settings for optimal performance.

Manually installing xFormers can further optimize Easy Diffusion, as there is no built-in toggle for this feature in the platform.

Step-by-step instructions are provided to install xFormers manually through the command line, reducing errors and ensuring correct installation.

After these changes, the render time for a 1024x1024 image was reduced to 65.3 seconds, and for a 768x1024 image, it was 55.6 seconds.

Recording in the background can add additional time to renders; in this case, the render time increased to 78 seconds.

Using custom models from CivitAI with Easy Diffusion is possible, but the Refiner feature only works in 'image-to-image' mode.

The Refiner tool adds more detail to specific areas like the teeth and eyes, but might cause some loss in detail in other regions such as the shoulders.

Prompt strength of 0.2 for the Refiner shows enhanced details in the teeth without much smoothing; increasing it to 0.3 enhances the teeth further but reduces eye detail.

The recommended way to use the Refiner involves adding some noise in the last steps, which helps maintain texture quality and detail.

For those who prefer using a refiner, ComfyUI is suggested as a more comprehensive alternative to achieve better results.

New support for ControlNet in Easy Diffusion has been introduced, offering additional control over image generation and refinement.