手の修正の救世主！Hand Refinerの使い方(Stable diffusion)

AI is in wonderland
6 Jan 202416:12

TLDRエ丽丝介绍了一种名为Hand Refiner的工具，它能够自动修正由Stable Diffusion生成的图像中的手部畸形问题。通过使用深度图和ControlNet技术，该工具能够在不改变图像其他部分的情况下，精确地重建手部。视频展示了如何使用Hand Refiner进行手部修正，包括生成设置、模型选择和修复过程中的细节。尽管在动漫图像中的效果还有待提高，但Hand Refiner在真实图像中的手部修正表现出色，是一个值得推荐的工具。

Takeaways

  • 🖐️ The Hand Refiner is a tool designed to correct and enhance the depiction of hands in images, particularly in AI-generated content.
  • 💅 It addresses common issues with AI-generated hands, such as missing fingers or unclean appearances.
  • 🛠️ The tool uses a control net that automatically creates a depth map of the hand by referring to the original image, streamlining the retouching process.
  • 📈 The method is similar to previous tools like depthmaplibraryandposer but has been improved with automatic functionalities.
  • 🚫 The extension is not updated and cannot be used currently, but the process can be done with the help of Stable Diffusion Web UI.
  • 🖼️ To use the Hand Refiner, start by generating a single image without upscaling and use Dream Shaper ver.8 for the checkpoint.
  • 📸 Utilize img2img for faster and more beautiful results compared to control net's multi-control net.
  • 🔍 Ensure to send the image before upscaling to make the hand look beautiful, as large upscaled images may not be repairable with Hires.fix.
  • 🔄 For the best results, use the SD15InPaintDEPTHHand model and place it in the control net model storage folder.
  • 🎨 Inpaint can be used to further refine the hand details, especially if the initial refinement is not perfect.
  • 📊 The Hand Refiner is most effective for realistic images, and its performance may vary with anime-style images.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is the introduction and usage of Hand Refiner, a tool designed to correct and improve the depiction of hands in images using Stable Diffusion.

  • What problem does the Hand Refiner address?

    -The Hand Refiner addresses the common issue of unrealistic or incorrect hand depictions in images, such as missing fingers or unclean hands, which can detract from the overall quality of the artwork.

  • How does the Hand Refiner function?

    -The Hand Refiner functions by using a control net that automatically creates a depth map of the hand, referencing the original image, and then refines the hand based on that depth map.

  • What are the advantages of using the Hand Refiner?

    -The advantages of using the Hand Refiner include the reduction of manual work, faster generation of images, and the ability to create more realistic and aesthetically pleasing hands without the need for repeated image generation.

  • What are the recommended settings for using the Hand Refiner?

    -The recommended settings for using the Hand Refiner include using Dream Shaper ver.8 for checkpoint, a step count of 30, a cfg scale of 7, and generating an image with a size of 512 x 512 or 512 x 768 without using hires.fix.

  • How does one apply the Hand Refiner to an image?

    -To apply the Hand Refiner to an image, one should first generate an image without upscaling, then process it using image-to-image, and finally use the InPaint function for further refinement, ensuring to select the 'Only Masked' setting for targeted hand correction.

  • What model is needed for the Hand Refiner and where can it be downloaded?

    -The required model for the Hand Refiner is called SD15InPaintDEPTHHand, which can be downloaded from the Control Net Hand Refiner page. The model file is approximately 723MB in size.

  • What is the recommended method for upscaling the corrected hand image?

    -The recommended method for upscaling the corrected hand image is to first correct the hand at a smaller size (around 512x512) and then upscale the image at the end, using a lower denoising strength to minimize changes to the image.

  • What are the potential issues when using the Hand Refiner on anime images?

    -Potential issues when using the Hand Refiner on anime images include the inability to properly create depth maps, resulting in unrealistic or distorted hand depictions. It is suggested that anime images might benefit from upscaling and then rewriting the hand for better results.

  • What is the advice for users experiencing file name errors with the Hand Refiner?

    -For users experiencing file name errors, it is advised to place the StableDiffusionWeBUI folder as shallowly as possible in their file system to avoid file name length restrictions imposed by the operating system.

Outlines

00:00

🖌️ Introduction to Hand Refiner Tool

Alice from Eyes in Wonderland introduces a hand refiner tool designed to correct issues with hand depictions in images. She discusses the common problem of unrealistic hands in images, such as missing fingers or unclean hands, and how traditional methods relied on luck and manual retouching. The new Control Net hand refiner automatically creates depth maps, referencing the original image for a more accurate correction. The method is similar to previous tools but with the added benefit of not requiring constant image generation. Alice aims to demonstrate how to use the refiner to improve hand depictions in images.

05:01

🛠️ Basic Usage and Settings

The paragraph outlines the basic usage of the hand refiner tool, starting with generating a single image without upscaling. Alice explains her preferred settings using Dream Shaper ver.8 for checkpoint and provides detailed parameters for image generation. She emphasizes the importance of using the image before upscaling for best results and provides a step-by-step guide on how to process the image using image-to-image and Control Net's multi-control net. Specific instructions are given on how to handle the image in InPaint, including the potential need to wait for image loading and the application of InPaint on hands. Alice also mentions the necessity of using the latest version of the control net and provides guidance on downloading and installing the required model, SD15InPaintDEPTHHand.

10:03

🎨 Direct Hand Refiner Experience

Alice shares her experience using the direct hand refiner, discussing the process of painting and adjusting settings within the InPaint image storage area. She provides specific settings for image size, denoising strength, and control net selection. The results show a slightly imperfect hand refinement, with issues such as a crooked finger and a dirty appearance. Alice suggests that refining the hand at a smaller size (512x512) before upscaling might yield better results. She also comments on the advantages of Comfy UI, including fast image generation and automatic creation of hand masks, and discusses the challenges of upscaling, such as slight changes in the image and clothing patterns. The paragraph concludes with Alice's attempt to use the refiner on an anime image, noting that while the hand correction is effective for realistic images, it may not perform as well with anime styles.

15:05

🌟 Conclusion and Recommendations

In conclusion, Alice finds the Control Net preprocessor and the hand refiner model to be user-friendly and effective, especially for creating realistic images. She highly recommends these tools for use with Stable Diffusion Web UI or Comfy UI. Alice thanks the viewers for watching and encourages them to subscribe to the channel and like the video. She signs off, looking forward to the next video and inviting viewers to try out the hand refiner in various ways.

Mindmap

Keywords

💡Hand Refiner

The Hand Refiner is a tool used in image editing to correct and enhance the appearance of hands in images, particularly in AI-generated content. In the context of the video, it addresses common issues such as missing fingers or unclean hands in AI-generated images of characters. The Hand Refiner works by using a depth map to automatically correct these issues, making the hands appear more natural and realistic.

💡Stable Diffusion

Stable Diffusion is a type of AI model used for generating high-quality images from textual descriptions. In the video, it is the underlying technology that powers the Hand Refiner and other image editing tools discussed. It is noted for its ability to create detailed and realistic images, which can be further refined using specialized tools like the Hand Refiner to address specific imperfections.

💡Depth Map

A depth map is a visual representation that encodes the depth or distance of objects in a scene from the viewer. In the context of the video, the Hand Refiner uses a depth map to understand the structure and positioning of the hand in the image, allowing it to make more accurate corrections. The depth map is automatically created by the Hand Refiner by referencing the original image, which simplifies the process of hand correction.

💡Control Net

Control Net is a feature in AI image generation that allows users to have more control over specific aspects of the generated image. In the video, the Control Net's hand refiner is introduced as a way to automatically create depth maps for hand correction. It is an extension of the AI model that enhances the quality of the output by focusing on particular details, such as the hands in this case.

💡Image-to-Image

Image-to-Image is a process in AI image editing where one image is used as a base to generate or modify another image. In the video, this process is used to take the initial AI-generated image and apply the Hand Refiner corrections to it. The method is highlighted as being faster and more efficient in generating beautiful and corrected images compared to other methods.

💡InPaint

InPaint is a term used in image editing to describe the process of filling in or correcting parts of an image. In the video, it is used in conjunction with the Hand Refiner to further refine the appearance of the hand by manually painting over it. This step is used to address any remaining imperfections after the automatic correction provided by the Hand Refiner.

💡Upscaling

Upscaling refers to the process of increasing the resolution of an image while maintaining or improving its quality. In the video, upscaling is discussed as a step that follows the hand correction process. It is noted that there can be slight changes to the image during upscaling, and it is recommended to perform the hand correction before upscaling to ensure the best results.

💡Dream Shaper

Dream Shaper is a version of an AI model used for image generation, as mentioned in the video. It is used as a checkpoint in the image generation process, which means it serves as a starting point or reference for the AI to create the image. The video suggests using Dream Shaper ver. 8 for optimal results when working with the Hand Refiner.

💡Hires.fix

Hires.fix is a feature or method mentioned in the video that is used to increase the resolution of an image. It is noted that using Hires.fix on images that have already been upscaled can lead to issues with repairing or correcting parts of the image, such as the hands. Therefore, it is advised to perform the hand correction before resorting to Hires.fix.

💡Control Net Model

The Control Net Model refers to the specific AI model used within the Control Net feature for image editing. In the video, the Control SD15 InPaint DEPTH Hand model is highlighted as the necessary model to download and use for hand refinement. This model is crucial for the Hand Refiner to function correctly and provide accurate hand corrections.

💡Comfy UI

Comfy UI is mentioned in the video as an easy-to-use interface for image generation. It is noted for its fast image generation and automatic creation of hand masks, which simplifies the process of hand correction. The video suggests that while Comfy UI is user-friendly, it may have limitations when it comes to generating depth maps for anime-style images.

Highlights

Introduction of Hand Refiner that corrects hands in images

Common issue of unrealistic hands in AI-generated images

The new Control Net feature that automatically fixes hand issues

Principle of hand refinement using depth maps

Comparison with previous methods like depthmaplibraryandposer

Automatic creation of depth maps by ControlNet

Goal to transform an image with hand issues into a corrected version

Explanation of the basic usage of the Hand Refiner

Use of Dream Shaper ver.8 for checkpoint and specific settings

Image-to-image processing and avoiding the use of hires.fix

Instructions for using ControlNet and selecting the correct model

Demonstration of the hand refinement process in InPaint

Recommendation of using original size without upscaling first

Mention of potential errors with file names or extensions

Solution for handling long file names by storing the StableDiffusionWeBUI folder in a shallow directory

Successful download and use of the hand refiner model

Observations on the effectiveness of hand refinement in realistic vs. anime images

Conclusion on the overall effectiveness and ease of use of the Control Net preprocessor and model

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