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！
TLDRThe video introduces the Stable Diffusion WebUI Forge, a new painting tool that is part of the SD project. Forge is optimized for video memory, significantly increasing inference and drawing speeds, especially for systems with lower memory like 6G to 8G, where improvements can range from 30% to 75%. It's ideal for users with less video memory as those with higher memory like 24G may see minimal benefits. The video provides a step-by-step guide on installing and setting up Forge, including updating, changing to a Chinese interface, and sharing models to avoid re-downloading. It also covers sharing the VAE and ControlNet models and addresses potential plugin migration issues. The presenter demonstrates the tool's capabilities by generating images, highlighting its fast rendering speed and the quality of the results.
Takeaways
- 🎨 **Stable Diffusion WebUI Forge** is a new painting tool that is part of the same project as the SD (Stable Diffusion) project.
- 🔄 **Optimization for Low VRAM Users**: Forge is optimized for video memory, increasing inference speed by 30-45% with 8GB VRAM and up to 60-75% with 6GB.
- 🚀 **Faster Drawing Speed**: The tool offers very fast drawing speeds and reduced GPU usage, making it suitable for users with limited video memory.
- 📈 **Increased Diffusion Resolution**: The resolution of the diffusion process is improved by 2-3 times, enhancing the quality of the output.
- 🧠 **OOM (Out of Memory) Prevention**: Forge is designed to prevent memory overflow issues, ensuring smoother operation.
- 📦 **One-Click Installation**: The official provides a one-click installation package for easy setup.
- 🔄 **Update Requirement**: After installation, users must update the tool to the latest version to ensure optimal performance.
- 🌐 **Language Support**: The interface is initially in English but can be switched to Chinese or other languages for user convenience.
- 🔗 **Model Sharing**: Users can share models to avoid downloading them multiple times, saving space and time.
- 📁 **File Path Configuration**: Correct file path configuration is crucial for sharing models and ensuring the tool functions correctly.
- ⚙️ **Plugin Migration**: Existing plugins can be migrated to Forge, but caution is advised to avoid conflicts between similar plugins.
- 🔧 **Post-Migration Check**: After migrating plugins, it's important to restart and check that everything is working as expected to prevent future issues.
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 designed to optimize video memory usage and increase inference and drawing speeds, particularly for users with lower video memory.
How does Forge differ from the original SD project in terms of performance?
-Forge has done significant optimization on video memory, leading to increased inference speeds by 30% to 45% for 8GB memory and up to 60% to 75% for 6GB memory. It also reduces GPU usage and increases diffusion resolution by 2-3 times.
What does OOM stand for in the context of the Forge project?
-OOM stands for 'Out of Memory'. In the context of the Forge project, it implies that the memory will not run out or 'explode', which is a common issue in systems with low video memory.
Is the Forge project suitable for users with large video memory?
-The Forge project is more suitable for users with relatively small video memory. For users with large video memory, the improvement in speed may not be significant enough to warrant using Forge.
How can users download and install the Forge project?
-Users can download the official one-click installation package. After downloading, they should unzip the file and follow the official prompts to update to the latest version before running the application.
What is the process to change the interface language to Chinese?
-To change the interface to Chinese, users need to click on the last item in the settings, then the third item, uncheck a box, and click a button to refresh the interface. They can then search for the Chinese version, choose between simplified or traditional, and install it.
How can users share models between the SD and Forge projects?
-Users can share models by opening the Forge folder, locating the model file, and editing the path to point to the SD folder where the models are stored. This allows the models to be used without needing to download them again.
What is the procedure to share the VAE model?
-To share the VAE model, users need to open the relevant configuration file, copy the line related to the VAE, and change the name to 'VAE'. They then find the path to the VAE folder in the models directory, copy it, and paste it into the configuration file.
How can users set up the ControlNet model in Forge?
-To set up the ControlNet model, users should locate the ControlNet folder in their file system, copy the path, and paste it into the configuration file where it specifies the model paths. They need to ensure the path is correctly referenced and restart the UI to apply changes.
What are the potential issues when migrating plugins from SD to Forge?
-When migrating plugins, there could be conflicts if the same type of plugin is installed in both projects. Users should be cautious and consider removing duplicates to avoid potential issues.
How can users ensure that their plugins work correctly after migration?
-After migrating plugins, users should restart the Forge UI and check if the plugins are functioning as expected. If there are issues, they may need to review the configuration files and paths to ensure they are correctly set up.
Outlines
🎨 Introduction to Stable Diffusion WebUI Forge
The video begins with an introduction to a new painting tool called the Stable Diffusion WebUI Forge, which is a branch project of the SD project. The presenter explains that both projects share the same layout and usage methods on the web user interface. The Forge tool is highlighted for its speed, with optimizations in video memory that can increase inference speed by 30% to 45% for systems with 8GB of memory, and up to 60% to 75% for systems with 6GB. The tool also reduces GPU usage and increases diffusion resolution by 2-3 times, making it suitable for users with smaller video memory. The presenter guides viewers on how to download and install the tool, update to the latest version, and set it up for use. The installation process includes unzipping the downloaded package, following official prompts to update, and running the tool to start downloading necessary files and models. The presenter also demonstrates how to change the interface language to Chinese and how to handle potential installation errors.
🔄 Model Sharing and Plugin Migration in Forge
The second paragraph details the process of sharing models within the Forge tool to avoid downloading them repeatedly. The presenter instructs viewers on how to navigate the Forge folder, edit a configuration file to share a large model, and ensure the model is successfully shared. The process is also described for sharing a VAE and ControlNet model, with specific instructions on editing paths and restarting the UI to apply changes. The presenter also discusses setting up additional models and troubleshooting potential issues that may arise from plugin conflicts, emphasizing the importance of removing duplicate plugins to prevent problems. The paragraph concludes with a demonstration of the tool's speed and effectiveness in generating images with different models and settings.
📚 Plugin Migration and Environment Setup in Forge
The final paragraph focuses on migrating plugins from one environment to another within the Forge tool. The presenter explains how to copy plugins from one folder to another, ensuring that the plugins are compatible with the Forge setup. It is mentioned that after migration, some plugins may require additional downloads or configuration adjustments. The presenter demonstrates generating an image with the migrated plugins and emphasizes checking for plugin conflicts, especially when there are similar plugins installed. The video concludes with a successful demonstration of image generation using the migrated plugins, showcasing the improved speed and quality of the Forge tool.
Mindmap
Keywords
💡Stable Diffusion WebUI Forge
💡Optimization
💡Inference Speed
💡GPU Usage
💡Diffusion Resolution
💡OOM (Out of Memory)
💡One-Click Installation
💡WebUI
💡Model Sharing
💡Plug-in Migration
💡Chinese Version
💡Plug-in Conflicts
Highlights
Introducing a new painting tool, Stable Diffusion WebUI Forge, which is a branch project of the SD project.
Forge and SD projects share the same layout and usage methods on the WebUI.
Forge offers significant optimization on video memory for 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.
OOM (Out of Memory) issues are mitigated with Forge.
For systems with 6GB of video memory, speed improvement can reach 60% to 75%.
Systems with 24GB of video memory see a more modest increase of 3% to 6%.
Forge is particularly suitable for users with lower video memory.
One-click installation package provided by the official source.
Unzip and update according to official prompts for easy setup.
Downloading necessary files and models upon the first run.
Changing the interface language to Chinese for a localized experience.
Installing the Chinese plugin for language support.
Sharing models between SD and Forge to avoid re-downloading.
Editing configuration files to point to the correct model paths.
Migrating and managing plugins to avoid conflicts and ensure compatibility.
Demonstration of creating images with Forge, showcasing its fast drawing speed.
ControlNet and VAE models can be shared for a seamless experience across projects.
Plugin migration is straightforward by copying the plugin folder.
Potential plugin conflicts may arise during migration and should be managed carefully.