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

AI Art JAPAN
14 Feb 202411:31

TLDRIntroducing WebUI Stable Diffusion Forge, a new tool designed to streamline development, optimize resource management, and enhance inference speed for Stable Diffusion WebUI. Inspired by 'Minecraft Forge', Forge promises significant speed improvements and reduced GPU memory usage across various GPU capacities. It maintains the familiar interface of automatic1111, allowing users to generate images with ease post-installation. A comparison with automatic1111 shows Forge generating 10 images in about 13 seconds at 512x512 resolution, using approximately 4GB VRAM, which is about 3 seconds faster. The one-click package simplifies installation, and once set up, users can leverage features like ControlNet and various extensions. The interface includes a tree view for easier navigation through numerous model files, although the shared folder does not currently support this feature. WebUI Forge is set to be integrated into StabilityMatrix, offering an efficient and user-friendly experience for AI image generation.

Takeaways

  • 🚀 **WebUI Forge Introduction**: Mr. lllyasviel has released a new tool called WebUI Stable Diffusion WebUI Forge, designed to simplify development, optimize resource management, and improve inference speed.
  • 🎯 **Performance Improvements**: Compared to the original WebUI, significant speed and memory usage improvements are expected, with a 30-45% increase in inference speed on an 8GB VRAM GPU and a 60-75% increase on a 6GB VRAM GPU.
  • 📈 **Resolution and Batch Size**: The maximum spread resolution and batch size have seen substantial increases, with up to 3x for resolution and up to 6x for batch size on certain GPU configurations.
  • 🔧 **User Interface Familiarity**: Forge promises not to make unnecessary changes to the user interface, ensuring a seamless transition for users of automatic1111 WebUI.
  • 📸 **Image Generation Speed**: With Forge, 10 images of size 512x512 can be generated in about 13 seconds, which is approximately 3 seconds faster than automatic1111.
  • 📉 **VRAM Usage Reduction**: VRAM usage has been optimized, with a reduction from 4.6GB to 4.2GB observed during the test.
  • 🔗 **Installation Process**: WebUI Forge can be easily installed using a one-click package available on Mr. lllyasviel's GitHub page, with a straightforward update and run process.
  • 📂 **File Management**: The tool features an improved file management system with tree view support, making it easier to navigate and manage a large number of model files.
  • 🌐 **StabilityMatrix Integration**: Users of StabilityMatrix can integrate their models and LoRA by editing the webui user batch file to point to their StabilityMatrix Data folder.
  • 🔄 **Automatic Updates**: The update.bat file allows for easy updates before launching, ensuring users are always working with the latest version of Forge.
  • 📈 **ControlNet Enhancements**: The maximum number of ControlNets can approximately double, and the speed of SDXL+ControlNet increases by about 30 to 45%.

Q & A

  • What is the main purpose of WebUI Stable Diffusion WebUI Forge?

    -The main purpose of WebUI Stable Diffusion WebUI Forge is 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, WebUI Forge is expected to increase inference speed by approximately 30-45%, reduce GPU memory peak by about 1.3GB, and improve maximum spread resolution and batch size.

  • How does the inference speed improve when using a less powerful 6GB VRAM GPU with WebUI Forge?

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

  • What is the expected increase in inference speed when using a powerful 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 about 1GB to 1.4GB.

  • How does WebUI Forge ensure a familiar interface for users of automatic1111?

    -WebUI Forge promises not to make unnecessary opinion changes to the user interface and is designed to be used with the familiar interface of automatic1111, allowing users to generate images with the same feeling immediately after installation.

  • What is the comparison in generation speed between automatic1111 and Forge?

    -The generation speed with Forge is about 81% faster than automatic1111, with a reduction in VRAM usage from 4.6GB to 4.2GB.

  • 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 installation instructions.

  • What is the process to update WebUI Forge before launching?

    -To update WebUI Forge, users should double-click the 'update.bat' file, which will prompt a warning screen. After confirming, the cmd will start up and perform the update, asking the user to press any key to complete the process.

  • How does WebUI Forge handle the integration of StabilityMatrix models and LoRA?

    -WebUI Forge allows users to specify the path to their StabilityMatrix Data folder in the 'webui user' batch file, enabling the integration of StabilityMatrix models and LoRA.

  • 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 for and manage a large number of model files by displaying folders and subfolders in a structured, hierarchical format.

  • What is the recommended action if a user encounters difficulty using the accordion format for controlnet in WebUI Forge?

    -If a user finds the accordion format for controlnet in WebUI Forge difficult to use, especially when multiple units are open, they can opt to use the conventional controlnet for easier handling.

  • How can users share their extended functions with WebUI Forge?

    -Users can share their extended functions by editing the 'webui user' batch file in the extracted Forge folder and specifying the appropriate paths for their shared models and functions.

Outlines

00:00

🚀 Introduction to WebUI Stable Diffusion WebUI Forge

This paragraph introduces the WebUI Stable Diffusion WebUI Forge, a new release by Mr. lllyasviel. The speaker explains the purpose of Forge, which is to streamline development, optimize resource management, and enhance inference speed for the SD WebUI. The name 'Forge' is inspired by 'Minecraft Forge,' and the project promises significant speed improvements and reduced GPU memory usage across various GPU capacities. The paragraph also highlights the user interface's consistency with automatic1111, ensuring a familiar experience for users. A speed comparison is made between automatic1111 and Forge, showing that Forge generates images faster and with less VRAM usage.

05:03

📥 Installing WebUI Forge with a One-Click Package

The second paragraph provides a step-by-step guide on how to install WebUI Forge using a one-click package. It directs users to Mr. lllyasviel's GitHub page, where they can find the WebUI Forge page and the link to download the one-click package. After downloading, users are instructed to extract the folder, run an update batch file, and then launch Forge. The paragraph details the initial setup, including downloading a model called realisticVision and customizing the WebUI user batch file to integrate with StabilityMatrix. It also covers how to enable various features like checkpoint and LoRA sharing and setting the correct path for the StabilityMatrix Data folder.

10:04

🌐 Exploring WebUI Forge's Interface and Features

The final paragraph delves into the user interface and features of WebUI Forge. It discusses the tree view functionality that allows for easier navigation through numerous model files. The paragraph also mentions the inclusion of controlnet in an accordion format and the speaker's choice to use the conventional controlnet due to potential usability issues. The speaker shares their experience with the reference screen and how it has been improved in Forge. The paragraph concludes with an invitation for users to try WebUI Forge and provide feedback or a high rating if they enjoy the tool.

Mindmap

Keywords

💡WebUI Forge

WebUI Forge is a new release by Mr. lllyasviel that aims to simplify development, optimize resource management, and improve inference speed for the Stable Diffusion WebUI. It is inspired by 'Minecraft Forge' and is designed to enhance the user experience by increasing the generation speed and reducing GPU memory usage. In the video, it is compared with automatic1111, showing significant improvements in speed and efficiency.

💡Stable Diffusion

Stable Diffusion refers to a type of AI model used for generating images from textual descriptions. It is the underlying technology that WebUI Forge is designed to improve. The video discusses how Forge optimizes the Stable Diffusion WebUI for better performance.

💡Inference Speed

Inference speed is the rate at which an AI model can process and generate outputs from given inputs. The video emphasizes that WebUI Forge significantly increases inference speed, especially when using different GPU capacities, thus making the image generation process faster.

💡GPU Memory

GPU memory refers to the video memory of a graphics processing unit, which is crucial for handling the computational tasks of AI models. The script mentions that WebUI Forge reduces the peak GPU memory usage, making it more efficient for image generation tasks.

💡Batch Size

Batch size in the context of AI image generation refers to the number of images that can be processed at one time. The video highlights that WebUI Forge increases the maximum batch size, allowing for more images to be generated simultaneously.

💡ControlNet

ControlNet is a feature within the Stable Diffusion model that allows for more nuanced control over the image generation process. The video mentions that using SDXL's ControlNet with WebUI Forge approximately doubles the number of ControlNets that can be used, further enhancing the capabilities of the system.

💡automatic1111

Automatic1111 refers to a previous version or iteration of the WebUI for Stable Diffusion. The video script compares the performance and user interface of WebUI Forge with that of automatic1111, emphasizing the improvements and the familiar interface for users transitioning to Forge.

💡VRAM

VRAM stands for Video Random Access Memory, which is a type of memory used by graphics cards. The video discusses how WebUI Forge optimizes VRAM usage, leading to more efficient image generation, especially on GPUs with different VRAM capacities.

💡One-click Package

A one-click package is a software installation method that simplifies the process into a single action, often used for easy installation of applications. The video provides instructions on how to install WebUI Forge using a one-click package, emphasizing the ease of setup.

💡LoRA

LoRA, or Low-Rank Adaptation, is a method for sharing and applying modifications to AI models without the need for retraining. The video script discusses how LoRA can be used with WebUI Forge, allowing users to share and utilize different model adaptations easily.

💡Tree View

Tree view is a method of displaying hierarchical data in a structured format, like a tree. The video mentions that WebUI Forge introduces a tree view for navigating through model files, which makes it easier for users to search and manage a large number of files.

💡StabilityMatrix

StabilityMatrix is referenced as a platform or tool used for managing AI models and their associated files. The video script describes how to integrate StabilityMatrix with WebUI Forge, indicating that it is used for organizing and sharing model checkpoints and other resources.

Highlights

Introduction of WebUI Stable Diffusion WebUI Forge by Mr. lllyasviel, which simplifies development, optimizes resource management, and improves inference speed.

Forge aims to be the Forge of SD WebUI, inspired by 'Minecraft Forge'.

Significant speed improvements are expected with Forge, including a 30-45% increase in inference speed on an 8GB VRAM GPU.

GPU memory peak is reduced by approximately 1.3GB when using Forge.

Maximum spread resolution and batch size are increased by up to 3x and 6x, respectively, on an 8GB VRAM GPU.

For less powerful 6GB VRAM GPUs, inference speed can increase by 60 to 75% with Forge.

Using a powerful 24GB VRAM RTX4090 GPU, Forge offers a 3 to 6% increase in inference speed.

ControlNet's maximum number of instances approximately doubles with SDXL's integration in Forge.

Some new samplers, such as DPM++ 2M Turbo, have been added to Forge.

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

After installation, users can generate images with the same feeling as automatic1111.

The market expanded with the introduction of automatic1111, indicating a potential shift towards interfaces taking the initiative.

Comparison of generation speed between automatic1111 and Forge shows Forge is approximately 3 seconds faster.

VRAM usage with Forge is suppressed to about 91% compared to automatic1111.

Forge can be quickly installed using a one-click package available on Mr. lllyasviel's GitHub page.

The one-click package for Forge is about 5GB in size, requiring careful consideration of storage capacity.

Forge's WebUI is almost identical to automatic1111, with added features like ControlNet and FreeU.

The UI includes a tree view for easier navigation of model files, although the shared folder does not currently support this feature.

Extended functions from Mendokusai are also shared and can be integrated into Forge.

WebUI Forge is expected to be well-received, with a suggestion to rate it highly if users find it useful.

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