Stable Diffusion ForgeUI | 全新的SD版本,AI绘画神器,为拯救低显存用户而生 | 0到1安装教程!

AI工坊#十个骑士
15 Mar 202412:13

TLDRThe video introduces the Stable Diffusion WebUI Forge, a new painting tool that is part of the SD project. Forge is a branch project optimized for video memory, offering faster inference and drawing speeds, especially beneficial for users with lower video memory. It can increase inference speed by 30-45% for 8GB memory and up to 60-75% for 6GB. The tool also reduces GPU usage and increases diffusion resolution. The video provides a step-by-step guide on how to download, install, and set up the tool, including changing the interface to Chinese and sharing models to avoid re-downloading. It demonstrates the tool's fast drawing capabilities and guides viewers on how to share and set up different models like VAE and ControlNet. The presenter also cautions about potential plugin conflicts when migrating from SD to Forge and suggests keeping only one version of similar plugins to avoid issues. The video concludes with a demonstration of creating a detailed image, showcasing the tool's speed and effectiveness.

Takeaways

  • 🎨 **Stable Diffusion WebUI Forge** is a new painting tool that is part of the same project as SD but offers optimizations for faster performance.
  • 🚀 **Performance Improvement**: Forge has done significant optimization on video memory, leading to a 30% to 45% increase in inference speed with 8GB memory.
  • 📈 **GPU Usage and Resolution**: The GPU usage decreases while the diffusion resolution increases by 2-3 times, preventing out-of-memory (OOM) errors.
  • 💻 **Suitable for Low Memory Users**: Forge is particularly beneficial for users with smaller video memory, offering up to a 60% to 75% speed improvement with 6GB.
  • 📉 **Limited Benefit for High Memory Users**: For systems with 24GB like 4090, the speed increase is minimal at 3% to 6%, making it less necessary for high-end users.
  • 🔧 **Easy Installation**: The official one-click installation package is provided, simplifying the setup process.
  • 🔄 **Update and Run**: After downloading, users need to update to the latest version and then run the application.
  • 🌐 **Interface Language**: The interface defaults to English but can be switched to Chinese or other languages for user convenience.
  • 🔗 **Model Sharing**: Users can share models to avoid downloading them again, saving space and time.
  • 📂 **File Path Configuration**: Correct file path configuration is crucial for model sharing to work properly.
  • ⚙️ **Plugin Migration**: Existing plugins can be migrated to Forge, but caution is advised to avoid conflicts by ensuring only one instance of similar plugins is kept.
  • 🖼️ **Fast Drawing Speed**: The drawing speed with Forge is notably fast, and the output quality is also good, as demonstrated in the script.

Q & A

  • What is the Stable Diffusion WebUI Forge?

    -Stable Diffusion WebUI Forge is a new painting tool that is part of the same project as the SD project. It is a branch project that shares the same layout and usage methods as the SD project's WebUI.

  • What are the advantages of using Forge over the standard SD project?

    -Forge offers significant optimizations in video memory, leading to increased inference and drawing speeds, reduced GPU usage, and higher diffusion resolution, making it particularly suitable for users with lower video memory.

  • How much performance improvement can a user with 8GB of video memory expect from using Forge?

    -A user with 8GB of video memory can expect an increase in inference speed by 30% to 45% when using Forge.

  • What is the improvement speed for a user with 6GB of video memory?

    -For a user with 6GB of video memory, the improvement speed can reach up to 60% to 75%.

  • Is Forge beneficial for users with large video memory, like 24GB?

    -For users with large video memory, such as 24GB, the improvement in speed is only about 3% to 6%, so it may not be necessary to use Forge.

  • How can users download and install the one-click package for Forge?

    -The official provides a one-click installation package that users can download directly. After downloading, they must first update according to the official prompts and then run the application.

  • What is the first step in setting up Forge after downloading and unzipping the package?

    -The first step is to update the software according to the official prompts, ensuring that the project is the latest version.

  • How can users change the interface language to Chinese?

    -Users can change the interface to Chinese by clicking the last item in the settings, then the third item, unchecking the second item, and refreshing the interface.

  • What is the significance of the 'OOM' term mentioned in the script?

    -OOM stands for 'Out of Memory'. In the context of Forge, it implies that the memory will not run out or 'explode', indicating efficient memory management.

  • How can users share models between the SD project and Forge to avoid downloading them again?

    -Users can share models by locating the Forge folder, editing the configuration file to include the path to the SD folder where the models are stored, and then restarting the application.

  • What is the process for migrating plugins from the SD project to Forge?

    -To migrate plugins, users can copy all the plugins from the SD project's folder and paste them into the corresponding folder in Forge. They should then restart the Forge UI to ensure that the plugins work correctly.

Outlines

00:00

🖌️ Introduction to Stable Diffusion WebUI Forge

The video introduces a new painting tool called Stable Diffusion WebUI Forge, which is a branch project of the SD project. The Forge tool shares the same layout and usage methods as the SD project's WebUI. The main advantage of Forge is its speed, with significant optimizations in video memory that result in increased inference and drawing speeds, particularly for users with smaller video memory. The video also discusses the potential for decreased GPU usage and higher diffusion resolution. It provides a step-by-step guide on how to download, update, and install the Forge tool, as well as how to change the interface language to Chinese and share models to avoid re-downloading.

05:00

🚀 Optimizing and Sharing Models in Forge

The second paragraph explains how to optimize and share models within the Forge tool. It details the process of copying and pasting paths to share the large model, VAE, and ControlNet, ensuring that users do not need to download these models again. The paragraph also covers how to edit configuration files to set the correct paths for these models. It highlights the need to restart the UI after making changes and to be cautious of potential plugin conflicts when migrating plugins from one tool to another. The video demonstrates the speed and effectiveness of the Forge tool when generating images with different models and settings.

10:01

🔄 Plugin Migration and Conflict Resolution

The final paragraph focuses on the migration of plugins from one tool to Forge and the importance of resolving potential conflicts. It explains how to copy plugins from one folder to another and remove duplicates to avoid issues. The video also shows how to restart the Forge tool after migration to ensure that all plugins function correctly. It provides a demonstration of generating an image with a girl in a planetarium setting, showcasing the tool's capabilities. The paragraph concludes with a reminder to be cautious when copying plugins, as having multiple versions of the same plugin can lead to unexpected problems.

Mindmap

Keywords

💡Stable Diffusion WebUI Forge

Stable Diffusion WebUI Forge is a branch project of the SD (Stable Diffusion) project, which is a painting tool. It is designed to optimize the performance for users with limited video memory, offering faster inference and drawing speeds, and improved GPU usage efficiency. In the video, it is highlighted as a tool that significantly enhances the user experience for those with lower-end hardware.

💡Optimization

Optimization in the context of the video refers to the improvements made to the video memory usage by the Stable Diffusion WebUI Forge. It is mentioned that these optimizations can lead to a 30% to 45% increase in inference speed and a 2-3 times increase in diffusion resolution for users with 8GB of video memory.

💡GPU Usage

GPU (Graphics Processing Unit) usage is a key aspect discussed in the video. The Forge project is said to decrease the GPU usage while increasing the performance, which is beneficial for users with lower video memory as it prevents the 'OOM' (Out of Memory) error and allows for faster drawing speeds.

💡OOM (Out of Memory)

OOM, or 'Out of Memory,' refers to a common issue where a system runs out of available memory to process data. In the video, it is mentioned that the Forge project helps to prevent this issue, allowing for smoother and more efficient operation of the painting tool.

💡Inference Speed

Inference speed is the rate at which the AI painting tool can process and generate images based on input data. The video emphasizes that the Forge project has significantly improved inference speed, especially for users with 8GB of video memory, where it can increase by 30% to 45%.

💡Diffusion Resolution

Diffusion resolution refers to the clarity and detail level of the images generated by the AI painting tool. The video script mentions that the Forge project can increase the diffusion resolution by 2-3 times, leading to higher quality images.

💡One-Click Installation

One-click installation is a feature provided by the official package of the Forge project, allowing users to install and set up the tool with minimal effort. The video demonstrates the simplicity of this process, which involves downloading the package and following the prompts to update and run the tool.

💡Model Sharing

Model sharing is a process described in the video where users can share or utilize AI models without the need to download them again. This is particularly useful for saving space and time, and the video provides a step-by-step guide on how to share models between different instances of the painting tool.

💡Plug-in Migration

Plug-in migration is the process of transferring plug-ins from one instance of the tool to another, as demonstrated in the video. This is useful for users who have customized their tool with specific plug-ins and want to maintain those customizations when switching to the Forge project.

💡Chinese Version

The Chinese version refers to the localized interface of the Stable Diffusion WebUI Forge, which is mentioned in the video as a feature that can be installed to make the tool more accessible to Chinese-speaking users. The video provides instructions on how to install and switch to the Chinese version.

💡ControlNet

ControlNet is a specific model or feature within the AI painting tool that is mentioned in the context of model sharing. The video script describes how to share and set up the ControlNet model for use within the Forge project.

Highlights

Stable Diffusion WebUI Forge is introduced as a new painting tool that is part of the same project as the SD project.

Forge is a branch project of the SD project, sharing the same layout and usage methods as the SD's WebUI.

Forge offers significant optimization in video memory, leading to faster inference and drawing speeds.

With 8GB of video memory, inference speed can increase by 30% to 45%.

GPU usage decreases while diffusion resolution increases by 2-3 times.

Forge is particularly suitable for users with smaller video memory, providing up to a 75% improvement in drawing speed with 6GB.

For users with large video memory, such as 4090 24G, the speed improvement is minimal at 3% to 6%.

The official one-click installation package is provided for easy setup.

After downloading, users must update to the latest version according to official prompts.

The installation process includes changing the interface language to Chinese for non-English speakers.

A detailed guide is provided for installing the Chinese version and troubleshooting installation issues.

Sharing models between SD and Forge is demonstrated to avoid re-downloading and saving space.

Instructions are given for sharing large models by editing specific files and paths.

The process of sharing VAE and ControlNet models is explained to enhance the functionality of Forge.

Users are cautioned about potential plugin conflicts when migrating from SD to Forge.

A demonstration of creating an image with Forge showcases the tool's fast drawing speed and ease of use.

The video concludes with a demonstration of generating a detailed image with multiple settings and models.

The presenter emphasizes the need to carefully manage plugin installations to prevent conflicts.