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

WebUI Stable Diffusion WebUI Forge, a new release by Mr. lllyasviel, is a project designed to streamline development, optimize resource management, and significantly improve inference speed for the Stable Diffusion WebUI. Compared to the original WebUI, Forge promises substantial speed enhancements and reduced GPU memory usage across various GPU capacities. It offers a familiar interface for users of automatic1111, ensuring a seamless transition. The video demonstrates the installation process using a one-click package and highlights the benefits of using Forge, including its compatibility with StabilityMatrix, ControlNet, and LoRA sharing. The user interface is nearly identical to automatic1111, making it easy for users to generate images with the same level of proficiency immediately after installation. The video concludes with a comparison of generation speeds between automatic1111 and Forge, showing a noticeable improvement with the latter.

Takeaways

• 🚀 **Forge Introduction**: WebUI Stable Diffusion WebUI Forge, created by Mr. lllyasviel, aims to simplify development, optimize resource management, and improve inference speed for the SD WebUI.
• 🎯 **Performance Improvements**: Significant speed and resource efficiency gains are expected with Forge, including a 30-45% increase in inference speed on an 8GB VRAM GPU and a 60-75% increase on a 6GB VRAM GPU.
• 📉 **Memory Usage Reduction**: GPU memory peak is reduced, especially on less powerful GPUs, with a decrease of approximately 800MB to 1.5GB.
• 🔍 **Resolution and Batch Size**: The maximum spread resolution and batch size see notable improvements, with up to 3x increase in resolution and 4x to 6x increase in batch size on certain GPU configurations.
• 📈 **High-End GPU Benefits**: Even powerful GPUs like the RTX4090 can expect a small but meaningful increase in inference speed and a reduction in GPU memory peak.
• ⚙️ **ControlNet Enhancements**: When using SDXL's ControlNet with Forge, the maximum number of ControlNets can approximately double, and the speed increases by about 30 to 45%.
• 🔄 **User Interface Consistency**: Forge maintains the same user interface as automatic1111, ensuring users can start generating images with a familiar interface right after installation.
• ⏱️ **Faster Generation Speed**: Forge is shown to be faster than automatic1111 in generating images, completing the task in about 13 seconds compared to 16 seconds for a 512x512 image batch.
• 📦 **Easy Installation**: Forge can be quickly installed using a one-click package available on the public page, making setup straightforward for users.
• 🔗 **StabilityMatrix Compatibility**: Users of StabilityMatrix can integrate Forge by adjusting the paths in the user batch file to point to their StabilityMatrix Data folder.
• 📁 **Improved File Management**: Forge introduces a tree view for managing and searching through a large number of model files, although the shared folder does not currently support this feature.

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 inference speed is increased by approximately 30-45%, the GPU memory peak is reduced by approximately 1.3GB, the maximum spread resolution is improved by approximately 2x to 3x, and the maximum batch size is increased by approximately 4x to 6x.

How much faster is the inference speed with a 6GB VRAM GPU when using WebUI Forge?

With a 6GB VRAM GPU, the inference speed increases by approximately 60 to 75%, and the GPU memory peak decreases by approximately 800MB to 1.5GB.

What is the expected improvement in inference speed 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%, and the GPU memory peak decreases by approximately 1GB to 1.4GB.

How does WebUI Forge enhance the user interface experience for users of automatic1111?

WebUI Forge does not make unnecessary opinion changes to the user interface and promises that users are using the familiar interface of automatic1111, allowing for immediate image generation with the same feeling after installation.

What are some of the additional features included in WebUI Forge?

WebUI Forge includes ControlNet from the beginning, FreeU, and various extensions. It also adds new samplers like DPM++ 2M Turbo and supports a tree view for easier navigation of model files.

How can users install WebUI Forge using a one-click package?

Users can install WebUI Forge by downloading the one-click package from Mr. lllyasviel's GitHub page, extracting the folder, and running the provided batch files for update and launch.

What is the size of the one-click package for WebUI Forge?

The one-click package for WebUI Forge is about 5GB in size.

How does WebUI Forge handle the integration with StabilityMatrix?

WebUI Forge allows users to integrate with StabilityMatrix by editing the webui user batch file to include the path to the StabilityMatrix Data folder and enabling the necessary arguments for checkpoint to LoRA.

What is the benefit of using 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 them in a hierarchical structure.

How does the generation speed compare between automatic1111 and WebUI Forge?

In the provided example, WebUI Forge generates 10 images in about 13 seconds, which is about 3 seconds faster than automatic1111, making it approximately 81% faster.

What is the impact of using WebUI Forge on VRAM usage during the image generation process?

The VRAM usage is reduced to about 91% when using WebUI Forge compared to automatic1111, indicating more efficient resource management.

Outlines

00:00

🚀 Introduction to WebUI Forge and Performance Enhancements

The first paragraph introduces the WebUI Forge, a new release by Mr. lllyasviel, which aims to streamline development, optimize resource management, and boost inference speed for Stable Diffusion WebUI. The name 'Forge' is inspired by 'Minecraft Forge', and the project promises significant performance improvements across various GPU capacities. These include a 30-45% increase in inference speed on an 8GB VRAM GPU, a 60-75% increase on a 6GB VRAM GPU, and a 3-6% increase on a 24GB VRAM RTX4090 GPU. Additionally, the Forge interface remains familiar to users of automatic1111, ensuring a seamless transition and immediate usability post-installation. A comparison of image generation speeds between automatic1111 and Forge is also provided, with Forge demonstrating faster performance.

05:03

📚 Installation Guide and Interface Familiarity

The second paragraph provides a step-by-step guide on how to install WebUI Forge using a one-click package available on Mr. lllyasviel's GitHub page. It details the process of downloading the package, extracting it, and running the update batch file before launching the application. The paragraph also emphasizes the similarity of the Forge interface to automatic1111, making it user-friendly for those already familiar with the latter. It covers the inclusion of various extensions and the integration with StabilityMatrix, as well as how to configure the paths for models and LoRA within the Forge setup.

10:04

📁 Enhanced File Management and Community Contributions

The third paragraph discusses the improved file management system in WebUI Forge, which supports a tree view for easier navigation through numerous model files. It also mentions the inclusion of ControlNet from the start and the accordion format for its units, although the narrator prefers the conventional controlnet. The paragraph highlights community contributions, such as extended functions from Mendokusai, and encourages users to rate WebUI Forge if they find it useful.

Keywords

WebUI Stable Diffusion WebUI Forge

WebUI Stable Diffusion WebUI Forge is a newly released tool designed to simplify development, optimize resource management, and improve inference speed for the Stable Diffusion model. It is inspired by 'Minecraft Forge' and aims to enhance the user experience by offering significant speed improvements and better GPU memory management. In the video, it is presented as a solution that can increase inference speed by up to 75% depending on the GPU used, making it a core focus of the discussion.

Inference Speed

Inference speed refers to the rate at which a machine learning model can make predictions or inferences based on input data. In the context of the video, it is a critical metric for evaluating the performance of WebUI Stable Diffusion WebUI Forge. The script highlights that the tool can increase inference speed by approximately 30-45% on an 8GB VRAM GPU and up to 75% on a 6GB VRAM GPU, which is a significant improvement for users looking to generate images more quickly.

GPU Memory Peak

GPU Memory Peak refers to the maximum amount of video memory (VRAM) used by a GPU during a particular operation. In the video, it is mentioned that WebUI Forge reduces the GPU memory peak by approximately 1.3GB on an 8GB VRAM GPU and up to 1.5GB on a 6GB VRAM GPU. This reduction is important as it allows for more efficient use of the GPU's memory resources, enabling users to run larger models or more instances simultaneously.

Spread Resolution

Spread resolution is the term used in the video to describe the maximum image resolution that can be processed or generated by the software. The script states that the maximum spread resolution is increased by approximately 2x to 3x with WebUI Forge, which means users can generate higher resolution images more efficiently, enhancing the quality of the output.

Batch Size

Batch size in the context of machine learning refers to the number of samples processed in a single run or iteration. The video mentions that the maximum batch size is increased by approximately 4x to 6x with WebUI Forge, allowing for more images to be generated in a single batch, which can greatly improve productivity for users who need to generate multiple images at once.

ControlNet

ControlNet is a feature mentioned in the video that is included from the beginning in WebUI Forge. It is likely related to controlling or directing the generation process of the Stable Diffusion model. The script suggests that when using SDXL's ControlNet, the maximum number of ControlNets will approximately double, and the speed of SDXL+ControlNet will increase by approximately 30 to 45%, indicating an enhancement in control and speed for the generation process.

Samplers

Samplers in the context of the video refer to different algorithms or methods used for generating images with the Stable Diffusion model. The script mentions the addition of new samplers such as DPM++ 2M Turbo, which implies that users have more options to choose from for different styles or speeds of image generation.

User Interface (UI)

The User Interface (UI) is the part of a computer program that users interact with to perform tasks. In the video, it is emphasized that WebUI Forge does not make unnecessary changes to the UI, ensuring that users can continue to use the familiar interface of automatic1111. This continuity is important for user experience, as it allows for seamless adoption of the new tool without a learning curve.

One-Click Package

A one-click package is a software installation method that simplifies the process to a single action, often a mouse click. In the video, the one-click package for WebUI Forge is mentioned as a quick and easy way to install the tool. Users can download the package from the public page and install it by following a simple set of instructions, which is convenient for those who want to start using the tool with minimal effort.

StabilityMatrix

StabilityMatrix is mentioned in the video as a platform or tool where users can manage their models and LoRA (Low-Rank Adaptation) files. It is suggested that users of StabilityMatrix can easily integrate their existing files with WebUI Forge, indicating compatibility and ease of use for those already using StabilityMatrix.

Tree View

Tree View is a method of displaying hierarchical data in a diagrammatic form as a tree structure. In the context of the video, it is mentioned that WebUI Forge supports a tree view for navigating through model files, which makes it easier for users to search and manage a large number of files. This feature is particularly useful for users who work with extensive libraries of models and need an organized way to access them.

Mendokusai

Mendokusai is mentioned in the video as a source of extended functions that can be shared with WebUI Forge. It suggests that users can enhance their experience with additional functionalities provided by Mendokusai, although the video cautions against overusing such extensions to maintain a streamlined and efficient workflow.

Highlights

WebUI Stable Diffusion WebUI Forge, developed by Mr. lllyasviel, aims to simplify development, optimize resource management, and improve inference speed.

Compared to the original WebUI, significant speed improvements are expected, with a 30-45% increase in inference speed on an 8GB VRAM GPU.

GPU memory peak is reduced by approximately 1.3GB, and the maximum spread resolution is increased by approximately 2x to 3x.

For a less powerful 6GB VRAM GPU, the inference speed can increase by approximately 60 to 75%.

When using a powerful 24GB VRAM RTX4090 GPU, the inference speed can increase by approximately 3 to 6%.

The maximum batch size increases by approximately 4x to 6x on an 8GB VRAM GPU and 1.6 to 2 times on a 24GB VRAM RTX4090 GPU.

Using SDXL's ControlNet, the maximum number of ControlNets can approximately double, and the speed of SDXL+ControlNet increases by about 30 to 45%.

Forge maintains the same user interface as automatic1111, ensuring a familiar experience for users.

The introduction of Forge could potentially lead to a significant market expansion similar to that of automatic1111.

With Forge, 10 images of size 512x512 can be generated in about 13 seconds using an RTX4070ti.

Forge is about 3 seconds faster than automatic1111 in generating images, making it approximately 81% faster.

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 one-click package is hosted on Mr. lllyasviel's GitHub page for convenient access.

After installation, Forge's WebUI starts up with a UI almost identical to automatic1111, ensuring ease of use.

Forge includes ControlNet from the beginning and supports various extensions and free utilities.

Users can easily share models and LoRA using the StabilityMatrix Data folder path in the webui user batch file.

The reference screen in Forge supports a tree view, making it easier to search through numerous model files.

Forge's interface is designed to be user-friendly, with accordion formats for better organization and control.

The introduction of WebUI Forge is expected to receive high ratings for its performance and user experience.