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SDXL 1.0 in A1111 - Everything you NEED to know + Common Errors!
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SDXL 1.0 in A1111 - Everything you NEED to know + Common Errors!

Introduction and Overview

In this section, the speaker introduces the topic of the XL1 model and its capabilities. They emphasize that they will focus on presenting factual information and demonstrate how to use the automatic 1111 feature.

The XL1 Model for Commercial Use

  • The XL1 version is officially released for commercial use.
  • Users can create and build their artistic empire with this model.
  • Comparison statistics show that people prefer images generated by SDXL 1.0 over previous models.

Community Models and Artistic Freedom

  • No community models are shown in the comparison statistics.
  • The ability to prompt freely without the model imposing its own style is advantageous for artistic freedom.
  • The speaker mentions that the community will likely train amazing models with their skills.

Photorealism and Art Styles

  • SDXL 1.0 can be used with high quality in various art styles, making it suitable for photorealism.
  • It can also generate other types of files based on user preferences.

Sample Images Demonstrating Capabilities

  • Sample images showcase high dynamic range, precision, and spatial dimensions achieved by SDXL 1.0.
  • The model accurately renders separate characters in a composition, showing depth of field effects.

Improved Language Handling and Training Efficiency

This section highlights two key points regarding language handling and training efficiency improvements in SDXL 1.0.

Simplified Language Handling

  • SDXL 1.0 can handle simple language better, eliminating the need for complex prompts or invoke qualifiers like "Masterpiece" to achieve high-quality results.
  • The model understands user input more effectively to generate desired outputs.

Enhanced Training Efficiency

  • Training models with SDXL is expected to be easier and require less data wrangling compared to other models.
  • The speaker expresses enthusiasm for the potential of faster and more efficient model training.

Conclusion

The speaker concludes by stating that SDXL 1.0 works better and delivers improved results.

Please note that the timestamps provided are approximate and may not be exact due to variations in transcription.

Different Ways to Use Clip Drop

The speaker discusses various ways to use Clip Drop, including on their website, on your own computer, with the SDXL stability AI platform, on Amazon Services, in the Stable Foundation Discord, and on the Dream Studio website.

Ways to Use Clip Drop

  • You can use Clip Drop on their website by visiting a specific link.
  • It is also possible to use Clip Drop on your own computer.
  • The SDXL stability AI platform can be used with an API.
  • Clip Drop can be used on Amazon Services.
  • It is available for use in the Stable Foundation Discord testing rooms.
  • The Dream Studio website also supports Clip Drop.

Text Recognition and Focus Points in SDXL

The speaker mentions that SDXL is good at recognizing text and creating different focus points simultaneously. They provide examples of text recognition and discuss focus range.

Text Recognition

  • SDXL is known for its ability to recognize text accurately.
  • An example shows the text "DXL" with a slight distortion in one part of the letter "D."

Focus Points

  • SDXL can create different focus points at the same time.
  • An example shows a person's face in focus while the surrounding text is not. Instead, other elements like a ship and an arm are in focus within the image's depth of field.

Examples of SDXL Results from Users

The speaker showcases examples of images created using SDXL by users named Nerdy Rodent and Orgton. They highlight the high level of detail and photorealistic results achieved with SDXL.

Examples by Nerdy Rodent

  • Nerdy Rodent has created an impressive pixel-style image using SDXL.
  • They have also made a video about their experience with SDXL on their channel.

Examples by Orgton

  • Orgton has used SDXL 1.0 with mid-shiny prompts.
  • The results obtained are visually stunning, with high levels of detail and dynamic compositions.
  • While the quality may not be as good as Mid-Journey, SDXL offers more control and precision in the image creation process.

Setting Up Automatic 11 11

The speaker provides instructions for setting up Automatic 11 11, including downloading the necessary models and updating to version 1.5.1.

Downloading Models

  • Two links are provided for downloading the base model and an offset lower model for improved image quality.
  • The base model should be placed in the "models" folder within the Automatic 11 11 directory.
  • The offset lower model should be placed in the "Lora" folder within the "models" folder.

Updating to Version 1.5.1

  • It is crucial to have Automatic 11 11 updated to version 1.5.1.
  • If using Git pull for updates, open the web UI minus user.pad file and enter the command "git pull."
  • Save and close the file, then run a bat file to initiate the update process.

Using Automatic 11 11 with SDXL

The speaker explains how to use Automatic 11 11 with SDXL, providing guidance on selecting models, adjusting settings, and utilizing offset Laura for better results.

Selecting Models and Adjusting Settings

  • In Automatic's stable diffusion checkpoint, choose the SDXL base model.
  • Ensure that Clip Skip Add One is selected (if available) and set Sdvae to automatic (not at a specific value like in SD 1.5).
  • Use existing prompts or create new ones.

Important Considerations

  • Avoid using Loras from SD 1.5 and negative embeddings in the negative prompt.
  • The smallest resolution should be set to 1024 by 1024.
  • Face restore can be enabled, but high-res fix should be avoided for testing purposes.

Utilizing Offset Laura

  • Click on the pink button in the right panel to access the Laura tab.
  • Select the SDXL offset example Laura and add it to the end of your prompt.
  • Set a low weight value (e.g., 0.2 or 0.3) for better results.

The transcript is already in English, so no language adjustment is needed.

Refining the Model and Prompt

In this section, the speaker explains the important steps to refine the model and prompt for better results.

Choosing the Checkpoint and Removing Laura from Prompt

  • Choose the "refine" model in the checkpoint chooser.
  • Delete "Laura" from the prompt to avoid error messages.

Adjusting Settings

  • Set the size to 2024 by 1024.
  • Use a low denoise strength for better results.
  • Experiment with different denoise settings to find what works best.

Generating Results

  • Click on the generate button and wait for it to finish.

Comparing Different Renders

The speaker compares different renders using various settings and prompts.

Base Model Render with Offset Laurel

  • Shows a render with a prompt and negative prompt for realistic vision.
  • Result is considered nice.

Base Model Render without Offset Laurel

  • Result is also considered good.
  • Same seed can produce different results, so experimentation is encouraged.

Handling Errors and Issues

  • Using wrong VAE can result in errors or undesired output. Set VAE to automatic.
  • Avoid using extensions like control net below or any other floras in your prompt, except offset Laurel for SDXL.
  • Remove Laura from prompt before running refiner model to avoid size of tensor error.

Comparing Refiner Results with Denoise Settings

The speaker compares refiner results using different denoise settings.

Using Face Restore with Denoise Value of 0.1

  • Adds more details and makes image crisper even at low denoise value.

Not Using Face Restore with Denoise Value of 0.1

  • Face looks sharper and crisper, but eyes have issues with iris and color.

Comparing Denoise Settings: 0.1 vs 0.2

  • With denoise value of 0.1, result is nice with good details.
  • With denoise value of 0.2, result has sharper details but higher contrast.

Activating the Refiner Model (Hacker Mode)

The speaker explores using the refiner model directly instead of switching between base and refiner models.

Using Lower Resolution for Refiner Model

  • Due to error with double image at 1024 by 1024 resolution, lower resolution (680 by 680) is used.
  • Results in a very nice output with good anatomy, color, and composition.

Enhancing Output in Image-to-Image

  • Set image-to-image settings to 1024 by 1024 resolution and denoise at 0.2.
  • Result is considered amazing without changing the model.

Conclusion

The speaker encourages viewers to try the new model and share their feedback on its performance.

Video description

SDXL 1.0 is out. Here is everything you need to know. How to use it in A1111 today. In this video I show you everything you need to know. Everything that is new in SDXL 1.0. How to download SDXL 1.0. How to use SDXL in A1111. What is the SDXL Offset Lora used for. SDXL Refiner Settings in A1111. Using a Trick in A1111 to use only the Refiner Model for image Render. #### Links from the Video #### SDXL 1.0 Announcement: https://stability.ai/blog/stable-diffusion-sdxl-1-announcement SDXL 1.0 Base and Lora: https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/tree/main SDXL 1.0 Refiner: https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/tree/main Stability Image: https://twitter.com/StableDiffusion/status/1684254689250902025 Nerdy Rodert Image: https://twitter.com/NerdyRodent/status/1684506233334538246 OrctonAI Images: https://twitter.com/OrctonAI/status/1684344552654610434 00:00 Intro 00:25 What is new in SDXL 1.0 02:40 SDXL Image Samples 04:35 Prompts and Loras 06:01 Ways to use SDXL 1.0 06:43 SDXL Render Samples 08:44 SDXL 1.0 Model + Lora Download 09:41 SDXL 1.0 use in A1111 12:09 SDXL 1.0 Refiner in A1111 13:07 SDXL Prompt and Settings Guide for A1111 15:54 SDXL Refiner ONLY Render TRICK!!!!! 17:08 Thank you for Watching!