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 a branch of the SD project. It's optimized for speed and video memory, offering significant performance improvements for users with lower GPU memory. The Forge is particularly beneficial for those with 6G to 8G of video memory, with speed increases of up to 75%. The installation process is straightforward, with a one-click package and a guide to updating and setting the interface to Chinese. The video also covers sharing models to avoid re-downloading and setting up additional features like VAE and ControlNet. It concludes with a demonstration of the tool's capabilities, emphasizing its fast drawing speed and the quality of the generated images.

Takeaways

  • 🎨 **Stable Diffusion WebUI Forge Introduction**: A new painting tool that is a branch of the SD project, offering similar layout and usage methods.
  • 🚀 **Performance Optimization**: Forge has optimized video memory, significantly increasing inference and drawing speeds, especially for systems with 8GB memory.
  • 📉 **GPU Usage Reduction**: Along with faster speeds, GPU usage is decreased, and diffusion resolution is improved by 2-3 times.
  • 💥 **OOM Prevention**: Forge prevents memory overflow issues, making it reliable for users with limited video memory.
  • 📈 **Memory Improvement Range**: For systems with 6GB memory, speed improvements can reach up to 60-75%, whereas systems with 24GB see a more modest 3-6% increase.
  • 🤔 **Suitability for Users**: Forge is particularly suitable for users with smaller video memory; those with ample memory may not benefit as much.
  • 📦 **One-Click Installation**: Official one-click installation package is available for easy setup.
  • 🔄 **Update Process**: After downloading, users must update to the latest version before using the tool.
  • 🌐 **Language Support**: The interface defaults to English but offers a Chinese version that can be installed for user convenience.
  • 🔄 **Model Sharing**: Users can share models to avoid downloading them repeatedly, saving space and time.
  • ⚙️ **Plugin Migration**: Plugins from previous installations can be migrated to Forge, but caution is advised to avoid potential conflicts.
  • ⚡ **Drawing Speed**: The drawing speed with Forge is notably fast, and the output quality is maintained.

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 optimized for faster performance and better video memory usage.

  • How is the Forge's WebUI different from SD's UI?

    -The Forge's WebUI is almost exactly the same as SD's UI in terms of layout and usage methods, indicating that both projects share a similar interface design.

  • What are the advantages of using Forge over SD?

    -Forge offers significant optimization on video memory, leading to increased inference and drawing speeds, reduced GPU usage, and higher diffusion resolution, especially beneficial for users with lower video memory.

  • By how much can the inference speed be increased with 8GB of video memory using Forge?

    -With 8GB of video memory, the inference speed can be increased by 30% to 45% when using Forge.

  • What is the improvement in drawing speed for users with 6GB of video memory?

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

  • What does OOM mean in the context of Forge?

    -OOM stands for 'Out of Memory'. In the context of Forge, it implies that the memory will not run out, thus preventing system crashes due to insufficient memory.

  • Is it necessary for users with large video memory to use Forge?

    -Users with large video memory may not need to use Forge, as the speed improvement may not be significant enough to warrant its use.

  • How can users obtain the one-click installation package for Forge?

    -The official provides a one-click installation package that users can download directly from their source.

  • What is the first step after downloading the Forge package?

    -The first step after downloading is to unzip the package and then update it according to the official prompts.

  • How can users change the interface language to Chinese?

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

  • What is the process for sharing models between SD and Forge?

    -To share models, users need to locate and edit specific configuration files within the Forge folder, updating the paths to point to the SD folder where models are stored.

  • How can users ensure a smooth migration of plugins from SD to Forge?

    -Users should copy all plugins from the SD folder to the corresponding Forge folder, and be cautious of potential plugin conflicts by keeping only one instance of similar plugins.

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 optimizations in video memory that 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 by 2-3 times. It's particularly suitable for users with smaller video memory, as those with larger memory may not see significant benefits. The video provides a one-click installation guide, including updating to the latest version, unzipping, and running the tool. It also demonstrates the tool's fast drawing speed and guides viewers on how to switch to a Chinese interface.

05:00

🔄 Sharing and Setting Up Models in Forge

The second paragraph explains how to share and set up models within the Forge tool. It details the process of copying and pasting paths to share models without downloading them again. The video shows how to edit configuration files to set the paths for models like VAE and ControlNet, ensuring they point to the correct folders. It also covers how to handle potential plug-in conflicts that may arise from sharing models and advises viewers to delete duplicate plug-ins to avoid issues. The presenter demonstrates the speed and effectiveness of the tool by generating images with different models and settings, emphasizing the tool's performance.

10:01

🔄 Plugin Migration and Model Sharing in Forge

The third paragraph focuses on migrating and sharing plugins within the Forge tool. It outlines the process of copying plugins from one folder to another within the Forge environment, removing unnecessary ones after model sharing is set up. The video addresses the need to restart the tool to ensure that all configurations and plugins work correctly. It also demonstrates the migration of an ecological environment and the downloading of necessary components. The presenter then shows how to generate an image of a girl with different settings, such as age and environment, and discusses the potential for plugin conflicts when copying plugins. The video concludes by emphasizing the fast performance of Forge and encouraging viewers to try it out.

Mindmap

Keywords

💡Stable Diffusion WebUI Forge

Stable Diffusion WebUI Forge is a branch project of the SD (Stable Diffusion) project, which is a new painting tool introduced in the video. It is designed to optimize video memory usage and increase inference and drawing speeds, making it particularly beneficial for users with lower video memory. The tool shares the same layout and usage methods as the SD project, but with significant improvements in performance and resolution.

💡Optimization

Optimization in the context of the video refers to the improvements made to the video memory and processing speed within the Stable Diffusion WebUI Forge tool. It allows for faster inference and drawing speeds, which is crucial for creating artwork more efficiently. The script mentions a 30% to 45% increase in speed for systems with 8GB of video memory.

💡GPU Usage

GPU (Graphics Processing Unit) usage is a key consideration for artists using the Stable Diffusion WebUI Forge, as it directly affects the performance and speed of the tool. The video highlights that the Forge tool reduces the GPU usage, allowing for faster drawing speeds and higher diffusion resolution without overloading the system's memory.

💡OOM (Out of Memory)

OOM, which stands for 'Out of Memory,' is a common issue faced by users with limited video memory. The video emphasizes that the Forge tool prevents OOM errors by efficiently managing memory usage, allowing for smoother and more reliable operation, especially for users with less video memory.

💡One-Click Installation Package

The one-click installation package is a feature provided by the official source of the Stable Diffusion WebUI Forge tool. It simplifies the installation process by allowing users to download and set up the tool with minimal effort. The video demonstrates how to use this package to quickly get started with the tool.

💡WebUI

WebUI stands for 'Web User Interface,' which is the graphical interface used by the Stable Diffusion WebUI Forge tool. It is mentioned in the video as being almost identical to the SD project's interface, making it familiar and easy to navigate for users already accustomed to the SD project.

💡Diffusion Resolution

Diffusion resolution refers to the quality and clarity of the images produced by the Stable Diffusion WebUI Forge tool. The video script indicates that the Forge tool can increase the diffusion resolution by 2-3 times, leading to higher quality artwork.

💡Model Sharing

Model sharing is a process described in the video where users can share or transfer pre-existing AI models between different installations of the Stable Diffusion WebUI Forge tool. This feature is beneficial for saving space and avoiding the need to re-download models, streamlining the user experience.

💡Plug-in Migration

Plug-in migration involves transferring additional functionalities or extensions from one installation of the tool to another. The video demonstrates how to migrate plug-ins, which can enhance the capabilities of the Stable Diffusion WebUI Forge, ensuring a seamless transition and continued use of these enhancements.

💡Chinese Version

The Chinese version refers to the localized interface of the Stable Diffusion WebUI Forge tool, which is available for users who prefer to work in the Chinese language. The video provides a step-by-step guide on how to install and switch to the Chinese version for a more comfortable user experience.

💡Plug-in Conflicts

Plug-in conflicts occur when multiple plug-ins with similar or overlapping functionalities are installed in the same system, potentially causing issues or errors. The video warns users about the potential for conflicts when migrating plug-ins and advises to keep only one version of similar plug-ins to avoid problems.

Highlights

Stable Diffusion WebUI Forge is introduced as a new painting tool within the SD project.

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

Forge offers significant optimization on video memory, increasing inference speed by 30% to 45% with 8GB.

Drawing speed with Forge is very fast, and GPU usage decreases while diffusion resolution increases by 2-3 times.

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

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

One-click installation package is provided by the official source for easy setup.

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

The interface can be switched to a Chinese version for ease of use.

Downloading the necessary model is required before use, with model 1.99G being a must-download.

Sharing the large model can save space and avoid the need for re-downloading.

Instructions on how to share the model by editing the Forge folder and adjusting the file paths are provided.

VAE and ControlNet models can also be shared for a seamless experience across different projects.

Migrating plugins from one installation to another is straightforward by copying the plugin folder.

Potential plugin conflicts may arise when migrating, and it's recommended to keep only one version of similar plugins.

The speed and performance of Forge are demonstrated through the creation of various images.

The final setup allows for quick and efficient image generation with Forge.