生成速度が二桁％アップ【WebUI Forge】の導入/モデルの共有方法/automatic1111と同じUIなのですぐ使いこなせる/stablediffusion
TLDRIntroducing WebUI Stable Diffusion WebUI Forge by Mr. lllyasviel, this video explains the installation process, benefits, and comparison with automatic1111. Forge aims to simplify development, optimize resource management, and improve inference speed significantly, with expected improvements of 30-75% depending on GPU VRAM. It maintains the familiar interface of automatic1111, allowing users to generate images seamlessly. The installation is straightforward with a one-click package, and the UI is nearly identical to automatic1111, making the transition easy. The video also covers how to integrate StabilityMatrix, ControlNet, and other extensions for enhanced functionality. WebUI Forge is set to become a valuable tool for users looking to optimize their image generation workflow.
Takeaways
- 🚀 **Introduction of WebUI Stable Diffusion WebUI Forge**: A new tool by Mr. lllyasviel that simplifies development, optimizes resource management, and improves inference speed for Stable Diffusion WebUI.
- ⚙️ **Performance Improvements**: Significant speed and memory usage improvements over the original WebUI, with specific gains depending on the GPU VRAM.
- 🌟 **User Interface Familiarity**: Forge maintains the same UI as automatic1111, allowing users to start using it immediately without a learning curve.
- 📈 **Speed Comparison**: Forge generates images faster than automatic1111, with a speed increase of about 81% in the given example.
- 💾 **VRAM Usage**: VRAM usage is more efficient in Forge, with a reduction to about 91% of the original usage in the example provided.
- 🔄 **Ease of Installation**: Forge can be easily installed using a one-click package available on Mr. lllyasviel's GitHub page.
- 📚 **Update Process**: Users are advised to update Forge before launching due to anticipated frequent updates.
- 📁 **Model and LoRA Sharing**: Users can share models and LoRA (Low-Rank Adaptation) files easily with the integrated sharing method.
- 📦 **Built-in Extensions**: Forge comes with various extensions built-in from the start, including StabilityMatrix and ControlNet.
- 📂 **Improved File Management**: Enhanced file management with tree view support for easier navigation through numerous model files.
- 🔍 **Tree View Limitation**: Currently, the shared folder does not support tree view, and users are advised to wait for updates to enable this feature.
- 🌐 **Community Contribution**: The script mentions the inclusion of extended functions from Mendokusai, highlighting the collaborative nature of the project.
Q & A
What is the purpose of WebUI Stable Diffusion WebUI Forge?
-WebUI Stable Diffusion WebUI Forge is designed to simplify development, optimize resource management, and improve inference speed for the Stable Diffusion WebUI.
What are the expected speed improvements when using WebUI Forge with an 8GB VRAM GPU?
-With an 8GB VRAM GPU, the expected improvements include a 30-45% increase in inference speed, a reduction of GPU memory peak by approximately 1.3GB, and a 2x to 3x increase in maximum spread resolution.
How does the performance of WebUI Forge compare to automatic1111 on a 6GB VRAM GPU?
-On a 6GB VRAM GPU, WebUI Forge increases inference speed by approximately 60 to 75% and reduces GPU memory peak by about 800MB to 1.5GB.
What is the expected speed improvement when using a 24GB VRAM RTX4090 GPU with WebUI Forge?
-With a 24GB VRAM RTX4090 GPU, the inference speed increases by approximately 3 to 6%, with a GPU memory peak decrease of about 1GB to 1.4GB.
How does WebUI Forge benefit users of automatic1111?
-WebUI Forge promises not to make unnecessary changes to the user interface, ensuring that users of automatic1111 can continue to use the familiar interface and generate images with the same feeling immediately after installation.
What is the generation speed difference between automatic1111 and Forge?
-In the provided example, Forge generates images about 3 seconds faster than automatic1111, making it approximately 81% faster.
How can users quickly install WebUI Forge?
-Users can quickly install WebUI Forge by downloading the one-click package from Mr. lllyasviel's GitHub page and following the provided instructions.
What is the process for updating WebUI Forge before launching?
-To update WebUI Forge, users should double-click the 'update.bat' file, which will prompt a warning screen. After acknowledging the warning and pressing any key, the update process will begin.
How does WebUI Forge handle the integration of ControlNet?
-ControlNet is included from the beginning in WebUI Forge and is presented in an accordion format for each unit, allowing users to easily access and use it.
What is the advantage of the tree view feature in WebUI Forge for managing model files?
-The tree view feature in WebUI Forge makes it easier to search and manage a large number of model files by displaying folders and subfolders in a structured, hierarchical manner.
How can users share their models and LoRA with WebUI Forge?
-Users can share their models and LoRA by editing the 'webui user' batch file in the extracted Forge folder, specifying the path to their StabilityMatrix Data folder, and enabling the necessary arguments.
What is the significance of the shared folder in WebUI Forge not supporting tree view currently?
-The lack of tree view support in the shared folder means that users may find it more challenging to navigate and manage shared model files. Users are advised to wait for updates that may include this feature.
Outlines
🚀 Introduction to Stable Diffusion WebUI Forge
The video begins with an introduction to the Stable Diffusion WebUI Forge, a new release by Mr. lllyasviel. The presenter aims to guide viewers through the installation process of Forge, which is designed to streamline development, optimize resource management, and enhance inference speed. The name 'Forge' is inspired by 'Minecraft Forge', and the project promises significant improvements in speed and efficiency over the original WebUI. The presenter highlights the expected benefits, such as a 30-45% increase in inference speed on an 8GB VRAM GPU, a reduction in GPU memory peak, and an increase in maximum resolution and batch size. The video also compares Forge with the automatic1111 interface, noting that Forge maintains the familiar interface and promises no unnecessary changes, allowing users to generate images with the same feeling immediately after installation. A demonstration of image generation with Forge is provided, showing a faster generation speed and reduced VRAM usage compared to automatic1111.
📚 Installing Forge with a One-Click Package
The presenter explains how to install the Stable Diffusion WebUI Forge using a one-click package. The process involves visiting Mr. lllyasviel's GitHub page, downloading the one-click package, and extracting the contents to a storage location. The video provides detailed instructions for updating the software before launching it for the first time. It also covers how to download additional components like the realisticVision model and how to start Forge's WebUI. The presenter emphasizes the similarity of Forge's UI to that of automatic1111 and the inclusion of features like ControlNet and FreeU from the beginning. The video also demonstrates how to edit the webui user batch file to integrate StabilityMatrix, ensuring that paths are correctly set up and that the interface references the desired model and LoRA files.
🔍 Exploring Forge's Interface and Tree View Feature
The video concludes with an exploration of Forge's user interface, focusing on its tree view feature that simplifies the search and organization of numerous model files. The presenter notes that while the main Forge interface supports tree view, the shared folder currently does not. The video also touches on the accordion format of the included ControlNet and the presenter's preference for using the conventional controlnet. The presenter encourages viewers to try out WebUI Forge and to rate it highly if they find it useful.
Mindmap
Keywords
💡WebUI Forge
💡Inference Speed
💡GPU Memory Peak
💡Spread Resolution
💡Batch Size
💡RTX4090 GPU
💡ControlNet
💡automatic1111 WebUI
💡One-Click Package
💡StabilityMatrix
💡LoRA Sharing Method
💡Tree View
Highlights
WebUI Stable Diffusion WebUI Forge is a new release by Mr. lllyasviel that simplifies development and optimizes resource management.
Forge aims to improve inference speed by 30-45% on an 8GB VRAM GPU and reduce GPU memory peak by approximately 1.3GB.
For a 6GB VRAM GPU, inference speed can increase by 60 to 75% and GPU memory peak can decrease by 800MB to 1.5GB.
Using a 24GB VRAM RTX4090 GPU, inference speed improves by 3 to 6% with a GPU memory peak reduction of approximately 1GB to 1.4GB.
The maximum spread resolution increases by approximately 2x to 3x on an 8GB GPU and 3x on a 6GB GPU.
The maximum batch size increases by approximately 4x to 6x on an 8GB GPU and 1.6 to 2 times on a 24GB GPU.
When using SDXL's ControlNet, the maximum number of ControlNets will approximately double, and the speed increases by 30 to 45%.
Forge maintains the same user interface as automatic1111, allowing for immediate familiarity and ease of use.
Forge is designed to be used with the familiar interface of automatic1111, ensuring a consistent user experience.
The generation speed with Forge is faster by approximately 3 seconds compared to automatic1111 for a 512x512 image at 20 steps and 10 batch count.
VRAM usage is reduced to about 91% when using Forge, compared to automatic1111.
The one-click package for installing Forge is available for quick and easy setup.
The update process for Forge is straightforward, with a warning screen followed by a simple key press to initiate.
The realisticVision model is downloaded automatically upon the first launch of Forge's WebUI.
ControlNet is included from the start in Forge, enhancing the capabilities of the platform.
Forge supports tree view for easier navigation and searching through a large number of model files.
The shared folder in Forge does not currently support tree view but is expected to be updated soon.
Extended functions from Mendokusai are also shared and can be integrated into Forge for additional functionality.
Users are encouraged to rate WebUI Forge if they find it useful, contributing to its ongoing development and improvement.
