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

AI is in wonderland
6 Jan 202416:12

TLDRIn this video, Alice introduces the Hand Refiner, a tool designed to correct malformed hands in AI-generated images using Stable Diffusion. She explains the process of using the refiner with ControlNet and provides tips for achieving better results, such as avoiding the use of hires.fix for images intended for hand correction. Alice also discusses potential issues with file names and extensions, and shares her experience using the tool on both realistic and anime images, highlighting its strengths and areas for improvement.

Takeaways

  • 🖌️ Hand Refiner is a tool designed to correct and enhance the depiction of hands in images, addressing common issues like missing fingers or unclean hands.
  • 🌟 The tool uses a control net that automatically generates a depth map of the hand, which is a significant improvement over previous methods that relied on luck or manual retouching in Photoshop.
  • 📸 The initial image should be generated without upscaling to ensure the best results when using the Hand Refiner, as upscaling later in the process can cause issues with the refinement.
  • 🛠️ The Dream Shaper ver.8 and Step 30DPM++ SDE karras settings are recommended for the initial image generation, with additional parameters like 512 x 768 size, 30 step count, and cfg scale of 7.
  • 🖼️ Image-to-image processing and img2img's inpaint feature are used to generate images faster and more beautifully, with a focus on the hand area.
  • 🎨 When using InPaint, select 'Only Masked' to ensure that only the targeted hand area is refined, and set denoising strength to 1 for a complete rewrite.
  • 🔄 The control net must be updated as of January 5, 2024, and the 'Depth' control type should be selected along with the SD15InPaintDepthHand model for the best hand refinement.
  • 📂 Ensure the control net model is stored in the correct folder within the StableDiffusionWEBUI folder to avoid issues with model loading.
  • 🚧 A potential issue with the hand refiner is the long file names and extensions, which may exceed Windows' limits. Placing the StableDiffusionWeBUI folder at a higher directory level can mitigate this.
  • 👾 While the hand refiner works well for realistic images, it may not be as effective for anime-style images, suggesting that further adjustments or alternative methods may be needed for such content.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is the introduction and usage of the 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 to correct any issues without the need for manual work or repeated image generation.

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

    -The recommended settings include using Dream Shaper ver.8 for checkpoint, 30DPM++ SDE karras with Easy mode, Negative's negative ebetting, and a configuration scale of 7. The image should be generated with a size of 512 x 768 and a step count of 30.

  • Why is it important to send the image to img2img before upscaling?

    -Sending the image to img2img before upscaling is important because there is a high possibility that large images that have been upscaled with Hires.fix cannot be repaired properly, leading to better and more accurate hand refinement results.

  • How does one update the Control Net to the latest version?

    -To update the Control Net, one must select 'Depth' from the control type and ensure that the Control Net is updated as of January 5, 2024. The user should also download the latest model, such as SD15InPaintDEPTHHand, and place it in the control net model storage folder.

  • What is the recommended approach for refining hands in anime images?

    -The recommended approach for anime images is to first upscale the image and then rewrite the hand using the Hand Refiner. However, it is noted that the tool may perform better with realistic images, and further testing or adjustments may be needed for anime.

  • What are the advantages of using the Hand Refiner with Comfy UI?

    -The advantages of using the Hand Refiner with Comfy UI include fast image generation, automatic creation of hand masks, and the ability to refine hands without manual painting, making the process easier and more efficient.

  • What is a potential issue when using the Hand Refiner with long file names or extensions?

    -A potential issue is that the file names or extensions may be too long, exceeding the length specified by Windows and causing errors in the model download process. To counteract this, the StableDiffusionWeBUI folder should be placed as shallowly as possible in the file system.

  • What is the conclusion or recommendation from the video regarding the Hand Refiner?

    -The conclusion is that the Hand Refiner is a highly recommended tool for easy and effective hand correction in images, especially when used with Stable Diffusion Web UI or Comfy UI. It is suggested that users try it out and utilize it for various hand modifications to improve their artwork.

Outlines

00:00

🖌️ Introduction to Hand Refiner Tool

Alice from Eyes in Wonderland introduces a new 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 this tool aims to address these issues. The tool uses a control net function that leverages the depth map of the hand to automatically generate corrections, similar to previous methods she has used. The video aims to demonstrate how this tool can effectively lower the barriers to retouching hands in images and improve the overall quality of the final product.

05:01

📸 Basic Usage and Settings

Alice explains the basic usage of the hand refiner tool, starting with generating a single image without upscaling. She outlines the settings used in Dream Shaper ver.8 and provides a step-by-step guide on how to process the image using image-to-image techniques. She emphasizes the importance of sending the image before upscaling for optimal results and provides specific instructions on how to use the control net feature, including the selection of the appropriate model, SD15InPaintDEPTHHand, and the necessary steps to download and install it correctly.

10:03

🎨 In-Depth Hand Refinement Process

In this section, Alice delves deeper into the hand refinement process, discussing the use of InPaint and the selection of specific settings such as masked areas, denoising strength, and seed values. She provides practical advice on how to achieve the best results, including the use of the hand refiner model from the control net and the ideal image size for processing. Alice also shares her observations on the limitations of the tool when applied to anime-style images and suggests alternative approaches for better outcomes.

15:05

🌟 Conclusion and Recommendations

Alice concludes the video by summarizing the benefits of the hand refiner tool and its ease of use. She highly recommends the Control Net preprocessor model for its effectiveness in creating realistic hand corrections and suggests using it in conjunction with Stable Diffusion Web UI or Comfy UI. Alice encourages viewers to experiment with the tool and offers a friendly reminder to subscribe to her channel and engage with the content. She signs off with a promise to see the viewers in the next video.

Mindmap

Keywords

💡Hand Refiner

Hand Refiner is a tool used in image editing to correct and enhance the appearance of hands in images, especially in AI-generated content. In the context of the video, it addresses common issues with hand depiction such as missing fingers or unclean hands in AI-generated images. The video demonstrates how to use the Hand Refiner with Stable Diffusion to improve the quality of the hands in a generated image, making them look more realistic and aesthetically pleasing.

💡Stable Diffusion

Stable Diffusion is an AI model that generates images from textual descriptions. It is a type of deep learning model that has been trained on a large dataset of images and text. In the video, Stable Diffusion is used as the platform for implementing the Hand Refiner. The tutorial shows how to utilize the Hand Refiner within the Stable Diffusion framework to correct issues with the depiction of hands in AI-generated images.

💡Depth Map

A depth map is a representation of the distance of objects within an image from a certain viewpoint. It is a crucial concept in computer graphics and image processing, and it is used in the Hand Refiner to create a more accurate and realistic representation of the hands in an image. The video explains how the Hand Refiner automatically generates a depth map by referring to the original image, which helps in refining the hand's appearance and structure.

💡Control Net

Control Net is a feature in the Stable Diffusion model that allows users to have more control over specific aspects of the image generation process. In the context of the video, it is used to enhance the hand refining process. The Control Net hand refiner automatically creates a depth map for the hands by referencing the original image, which significantly improves the quality and realism of the hands in the generated image.

💡Image-to-Image

Image-to-Image is a process in AI image generation where one image is used as a reference or a base to create another image. In the video, this technique is employed to refine the hand in an AI-generated image. The process involves sending the image to the img2img function of Stable Diffusion, which then generates a new image with the refined hand, improving the overall quality and detail of the image.

💡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, the presenter uses InPaint to manually correct the hand in the image after it has been generated by the Hand Refiner. This step is necessary when the automatic refining process does not fully achieve the desired result, and manual intervention is required to perfect the appearance of the hand.

💡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后续 step after the hand has been refined. The presenter advises on the proper way to upscale images to avoid issues such as blurring or distortion of the hand's appearance, ensuring that the final image is clear and detailed.

💡Dream Shaper

Dream Shaper is a version of the Stable Diffusion model used for image generation. In the video, the presenter mentions using Dream Shaper ver.8 as a checkpoint for generating the initial image. Checkpoints are saved states of the model that can be used to continue the image generation process from a specific point, ensuring consistency and quality in the final output.

💡Hires.fix

Hires.fix is a feature or method mentioned in the video that is used to upscale images. However, the presenter notes that using Hires.fix on images that have already been upscaled may not yield the best results, particularly for the hand's detail. It is suggested to fix the hand first and then perform the upscaling for optimal image quality.

💡Control Net Model Storage

Control Net Model Storage refers to the location where the models used by the Control Net feature are saved. In the video, the presenter provides instructions on where to place the downloaded Control SD15 InPaint DEPTH Hand model to ensure that it is correctly loaded and used by the Hand Refiner. Proper storage and management of these models are crucial for the successful functioning of the Hand Refiner.

💡Anime

Anime is a term used to describe a style of animation that originated in Japan, characterized by colorful artwork, fantastical themes, and vibrant characters. In the video, the presenter tests the Hand Refiner on an anime-style image, noting that while the Hand Refiner works well for realistic images, it may not be as effective for anime-style hands. This highlights the limitations of the tool and suggests areas for improvement.

Highlights

Alice from Eyes in Wonderland introduces a hand refiner that corrects hands.

The hand refiner addresses common issues with hand depiction in art, such as missing fingers or unclean hands.

Traditional methods for fixing hands involved luck-based in-painting or retouching in Photoshop.

The new control net feature automatically fixes hand issues using the depth map of the hand.

The hand refiner creates a depth map by referring to the original image, eliminating manual work.

The method is effective as it lowers the hurdles for retouching and doesn't require generating images repeatedly.

The tutorial demonstrates changing a hand with one less finger into a normal one.

Images should be generated without upscaling for best hand refinement results.

The use of Dream Shaper ver.8 for checkpoint and specific settings like 512 x 768 size and Step 30DPM++ SDE karras are recommended.

The hand refiner can be used with img2img's inpaint for faster and more beautiful image generation.

Large upscaled images may not be properly repaired with Hires.fix.

The ControlNet hand refiner requires the latest version and the selection of depth hand refiner from the preprocessor.

The SD15InPaintDEPTHHand model must be downloaded and placed in the correct folder for the hand refiner to work.

The hand refiner may not work perfectly with anime images, suggesting it's more effective with realistic images.

The video provides a step-by-step guide on using the hand refiner for various types of images, including anime.

The hand refiner is recommended as an easy-to-use tool that can make significant improvements to hand depiction.

The video concludes with a call to action for viewers to try the hand refiner and subscribe to the channel.

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