「Stable Diffusionで手や指がおかしくなってしまう」を修正する方法 - depth libraryの使い方について

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12 May 202308:06

TLDRThe video script introduces a method to fix unnatural-looking hands in Stable Diffusion-generated images. It guides viewers through the installation of the Depth Library from GitHub and demonstrates how to use it to correct hand posture in images. The tutorial also covers the use of the 'Inpaint' feature to make localized adjustments without affecting the rest of the image. The presenter shares tips for improving the quality of hand depictions and suggests combining different poses for more natural results. The video encourages viewers to experiment with the tools and offers insights on achieving higher quality in generated images.

Takeaways

  • 🖐️ The video discusses methods to fix unnatural-looking hands in Stable Diffusion-generated images.
  • 🔍 It suggests using the Depth Library for fine-tuning the hand's appearance.
  • 💻 Installation of the Depth Library is required, which can be done through GitHub's official page.
  • 🎨 The process involves adjusting the hand's size, rotation, and mirroring to match the original image.
  • 🖱️ Selection of hand shapes is done from a variety of samples provided within the Depth Library.
  • 🔄 The video demonstrates saving the adjusted hand as a PNG and using it in the 'Image to Image' tab.
  • 🌟 The 'Inpaint' feature is highlighted for making localized changes to the image, such as only altering the hand area.
  • 🖌️ When using 'Inpaint', it's recommended to select a larger area to ensure details are captured accurately.
  • 📈 Increasing the 'Width' and 'Height' values can improve the quality of the output image.
  • 🔎 The video compares the results of using Depth Library versus Inpaint, suggesting the former can produce more natural hand poses.
  • 📹 The content creator encourages viewers to share their own methods for improving hand generation in AI tools.
  • 📢 The video is part of a series introducing the latest AI tools, and viewers are encouraged to subscribe for updates.

Q & A

  • What is the main issue discussed in the transcript?

    -The main issue discussed is the unnatural appearance of hands in images generated by Stable Diffusion and how to correct it.

  • What is the first step to fix the hand issue in the image?

    -The first step is to use the Depth Library to correct the违和感 (sense of incongruity) in the hand.

  • How can one install the Depth Library?

    -To install the Depth Library, one needs to visit its official GitHub page and follow the installation instructions provided there.

  • What is the purpose of the 'At' button in the script?

    -The 'At' button is used to add the selected hand shape from the samples provided by the Depth Library onto the image.

  • How can the user adjust the size and rotation of the hand in the image?

    -The user can adjust the size and rotation of the hand by grabbing the blue lines and moving or rotating the hand as needed.

  • What is the 'Save PNG' button for?

    -The 'Save PNG' button is used to save the changes made to the image, specifically the corrected hand shape.

  • What is the 'Image to Image' tab used for after making changes to the hand?

    -The 'Image to Image' tab is used to generate a new image using the same prompt as before but with the corrected hand image uploaded to the 'Single Image' section.

  • What is the 'Inpaint' feature and how is it used in this context?

    -The 'Inpaint' feature is a tool that applies changes only to the areas painted over in black. It is used to make specific adjustments to the image, such as correcting the hand shape.

  • Why might the index finger appear cut off in the corrected image?

    -The index finger might appear cut off because the selection range for inpainting was too narrow, causing the detail to be lost in the process.

  • What is the recommendation for generating more natural-looking hands in images?

    -The recommendation is to use the Depth Library without the Inpaint feature for the initial image generation, as this tends to produce more natural hand shapes.

  • How can the quality of the corrected hand image be improved?

    -The quality can be improved by increasing the width and height values in the 'Image to Image' tab, which results in more detailed and realistic depictions of fingers and joints.

Outlines

00:00

🖌️ Fixing Unnatural Hands in Stable Diffusion Generated Images

This paragraph introduces a method to correct unnaturally rendered hands in images generated by Stable Diffusion. It suggests using the Depth Library feature to fix the issue and invites those who have experienced distorted hands despite having an otherwise perfect image to try this method. The tutorial begins by addressing a specific image where the left hand appears unnatural. It guides the user through the process of installing the Depth Library from GitHub and using it to adjust the hand's depth and size, including flipping the hand for correct orientation. The paragraph also touches on saving the adjusted image and using it in conjunction with the Control Net to generate a final image with natural-looking hands.

05:03

🎨 Correcting生成 Image Issues with Inpaint Feature

The second paragraph discusses a common issue where the number of fingers in a generated image is incorrect, such as having three fingers standing upright instead of five. It suggests using the Inpaint feature to correct such anomalies by selecting and adjusting the hand's shape. The paragraph explains how to save the adjusted hand image and use it with the Inpaint function to generate a new image where only the hand part is modified. It also highlights the importance of selecting a larger area during the Inpaint process to ensure accurate reflections of the hand's shape. The paragraph concludes by sharing insights on generating more natural hand renderings by using the Depth Library without Inpaint, adjusting the image's width and height values for better quality, and encourages users to share their own methods for hand correction.

Mindmap

Keywords

💡Stable Diffusion

Stable Diffusion is an AI model used for generating images based on textual descriptions. In the context of the video, it is the primary tool for creating images, but the user encounters issues with unnatural hand rendering. The video aims to address these issues by introducing methods to correct such imperfections.

💡Unnatural Hands

Referring to the problem of hands appearing distorted or unrealistic in images generated by AI models like Stable Diffusion. The video provides solutions to fix this common issue, making the hands look more natural and less distorted.

💡Depth Library

Depth Library is a feature or tool mentioned in the video that helps in correcting the depth or the three-dimensional aspect of the generated images, particularly focusing on the hands. It is used to improve the naturalness of the hands in the AI-generated images.

💡GitHub

GitHub is a web-based hosting service for version control and collaboration that is used by developers. In the video, it is mentioned as the platform where the Depth Library can be installed from, indicating its role in providing access to the tools needed for image correction.

💡Extensions Tab

The Extensions Tab is a part of the user interface in certain software where additional features or plugins can be managed. In the context of the video, it is where the user installs the Depth Library to facilitate the correction of the hand images.

💡Background Image

In the context of the video, the Background Image refers to the original image that the user wants to modify, specifically to correct the unnatural appearance of the hands. It serves as the base upon which the Depth Library's corrections are applied.

💡Image-to-Image

Image-to-Image is a process or feature that allows users to transform or generate new images based on an existing one. In the video, it is used to generate a new image with corrected hand shapes after using the Depth Library.

💡Control Net

Control Net is a technique used in AI image generation models like Stable Diffusion to guide the generation process by providing specific inputs or constraints. In the video, it is used to upload the corrected hand image and ensure that only the hand part is modified in the final output.

💡Impaint

Impaint is a feature or tool that allows users to make changes to specific parts of an image by painting over the areas they want to modify. In the video, it is used to apply changes only to the hand part of the image while keeping the rest of the image unchanged.

💡Sampling Method

Sampling Method refers to the technique used by AI models to select data points from a dataset during the training process. In the context of the video, it is a parameter that can be adjusted in the Image-to-Image process to influence the quality of the generated image.

💡Widths and Highs

Widths and Highs refer to the dimensions of the image that can be adjusted to influence the quality of the output. In the video, increasing these values can lead to a higher quality image, especially in terms of the details of the hands.

💡Naturalness

Naturalness refers to the quality of an image or output that appears realistic and lifelike. In the video, the goal is to improve the naturalness of the hands in the AI-generated images by using various tools and techniques.

Highlights

The video introduces a method to fix unnatural-looking hands in Stable Diffusion-generated images.

The issue of hands looking distorted or collapsing in otherwise well-generated images is a common problem.

The solution involves using a tool called Depth Library to correct the unnatural hand issue.

Depth Library can be installed from its official GitHub page.

Instructions on how to install Depth Library are provided, including copying a URL from the GitHub page.

After installation, the Depth Library tab appears in the editing interface.

The process starts by adding the image to be corrected as a background image.

Users can select a hand shape from samples provided and adjust it to match the original image's size.

The Depth Library allows for adjustments such as size and rotation to fine-tune the hand's appearance.

The video demonstrates how to save the corrected hand image and use it in the Image-to-Image tab.

The Impaint feature is mentioned as a way to apply changes only to selected areas by painting over them in black.

The video shows how to use Impaint to keep the face intact while only changing the hand part of the image.

The importance of selecting a larger area when using Impaint is emphasized to avoid issues like missing parts.

The video suggests that generating images without Impaint for a more natural hand appearance.

Combining different poses, like an open pose for the face and a specific hand pose, can lead to better results.

Raising the width and height values in the Image-to-Image tab can improve the quality of the output image.

The video concludes that while it may not be perfect, the method significantly improves the hand's appearance and is worth recommending.

The channel features the latest AI tools and invites viewers to share their own methods for improving hand generation.

The video encourages viewers to subscribe and like the channel for more AI tool introductions.