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

AI is in wonderland
6 Jan 202416:12

TLDRAlice from Eyes in Wonderland introduces HandRefiner, a tool designed to correct畸形 hands in AI-generated images using Stable Diffusion. She explains that it overcomes common issues with hand generation, such as missing fingers or unclean hands, by employing a conditional inpainting approach. The tool leverages a hand mesh reconstruction model to ensure correct finger count and shape, and it can be used with various models. Alice provides a step-by-step guide on using HandRefiner, highlighting its effectiveness in creating realistic hand images without the need for manual retouching. She also addresses potential issues and offers solutions, making the tool accessible and easy to use for viewers.

Takeaways

  • 🎨 Introduce a hand refiner tool, ControlNet, that addresses common issues with hand depiction in AI-generated images.
  • 👐 The tool fixes hands that may appear strange, missing fingers, or being unclean, which was previously challenging to correct.
  • 🛠️ ControlNet functions similarly to depthmaplibraryandposer, but with an automatic depth map generation based on the original image.
  • 🖼️ The process starts with generating an image at a size of 512 x 768, using Dream Shaper ver.8 for checkpoint and specific parameters.
  • 🚫 Avoid using hires.fix for hand refinement to prevent improper repairs and focus on generating a non-upscaled image first.
  • 🔄 Use img2img for faster and more beautiful image generation, especially for hand refinement.
  • 🖌️ Inpaint is used post-generation to touch up the hands, with settings adjusted to focus only on masked areas.
  • 🔄 Ensure the ControlNet is updated as of January 5, 2024, and use the Depth hand refiner preprocessor for optimal results.
  • 🔗 Download the required SD15InPaintDEPTHHand model and place it in the correct folder within the StableDiffusionWEBUI directory.
  • 📸 For anime images, it may be better to upscale first and then correct the hand, as depth maps may not reflect accurately.
  • 👍 Overall, ControlNet's hand refiner is recommended for its ease of use and effectiveness in creating realistic hand corrections in AI-generated images.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is the introduction and usage of a hand refiner called ControlNet for image editing, specifically to correct and enhance the appearance of hands in images.

  • What problem does the hand refiner address?

    -The hand refiner addresses the common issue of creating realistic hands in images, which can often look strange or unclean, or may have missing fingers, by automatically generating depth maps and refining the hand's appearance.

  • How does the ControlNet hand refiner differ from previous methods?

    -The ControlNet hand refiner differs from previous methods as it automatically creates depth maps by referring to the original image, eliminating the need for manual work and the repetitive generation of images.

  • 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, Negative's negative ebetting, an image size of 512 x 768, a step count of 30, and a cfg scale of 7.

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

    -Sending the image before upscaling is important because there is a high possibility that large images that have been upscaled with Hires.fix cannot be repaired properly, ensuring a more accurate and beautiful result.

  • How does one use the hand refiner with img2img?

    -To use the hand refiner with img2img, one should send the image to img2img and generate it, ensuring that the image is not yet upscaled. The process also involves using the control net tab and selecting the appropriate settings and models.

  • What model is needed for the hand refiner?

    -The needed model for the hand refiner is called SD15InPaintDEPTHHand, which must be downloaded by the user and placed in the control net model storage folder.

  • What is the recommended approach for upscaling the image?

    -The recommended approach for upscaling is to first correct the hand using a smaller image size, such as 512x512, and then upscale the image at the end to avoid distortions or changes in the hand's appearance.

  • What are the limitations of the hand refiner in anime images?

    -The hand refiner may struggle with anime images, as it is more effective with realistic images. The depth map may not reflect accurately, and the hand's shape and size may be distorted, suggesting that further refinements are needed for anime-style images.

  • What is the advice for users experiencing file name errors with the hand refiner?

    -Users experiencing file name errors should place the StableDiffusionWeBUI folder as shallowly as possible in their file system to avoid issues with long file names and extensions that may exceed the length specified by Windows.

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 depiction in images. She discusses the common problem of unrealistic hands in art, such as missing fingers or unclean hands, and how this tool aims to address these issues. The tool uses a control net function that automatically generates a depth map of the hand, which is then used to refine the hand's appearance. This method is similar to previous tools like the depthmaplibrary and poser, but with the added convenience of automatic depth map generation. Alice explains the process of using the tool, from generating a base image without upscaling to refining the hand using image-to-image processing and inpainting techniques. She emphasizes the importance of using the tool before upscaling to ensure the best results.

05:01

🛠️ In-Depth Guide on Using the Hand Refiner

This paragraph delves deeper into the specifics of using the hand refiner tool. Alice explains the settings and configurations required for optimal use, such as using Dream Shaper ver.8 for checkpoint and specific parameters like a step count of 30 and a cfg scale of 7. She also discusses the process of using the img2img function for faster and more beautiful image generation. The paragraph highlights the importance of sending the image before upscaling to ensure the hand looks natural and addresses potential issues with large upscaled images that have been repaired with Hires.fix. Detailed instructions are provided on how to generate an image using the method, including the use of control net and the necessary model updates. Alice also provides a solution for potential file name errors and shares her experience with the tool's effectiveness and limitations.

10:03

🎨 Direct Hand Refiner Experience and Results

Alice shares her experience using the direct hand refiner and the results she obtained. She describes the process of painting the image and adjusting settings for the best outcome. The paragraph discusses the use of the hand refiner model from the control net and the importance of selecting the right image size and denoising strength. Alice presents her findings that the hand refiner works better with smaller images and that upscaling after fixing the hand is recommended. She also talks about the benefits of Comfy UI, such as fast image generation and automatic hand mask creation. The paragraph concludes with Alice's attempt to use the hand refiner on an anime image and her observations on its limitations with certain styles, suggesting that further improvements could be made in this area.

15:05

🌟 Final Thoughts and Recommendations

In the final paragraph, Alice wraps up the video by comparing the hand refiner tool to other hand correction tools that have been released. She commends the Control Net preprocessor and the associated model for their ease of use and effectiveness in creating realistic hand corrections. Alice recommends using the tool in conjunction with Stable Diffusion Web UI or Comfy UI. She concludes the video by thanking the viewers for watching, encouraging them to subscribe to the channel, and expressing her hope to see them in the next video.

Mindmap

Keywords

💡Hand Refiner

The Hand Refiner is a tool designed to correct and enhance the appearance of hands in images or artwork. It addresses common issues such as missing fingers, dirty hands, or other imperfections. In the context of the video, the Hand Refiner is a feature of the Stable Diffusion software, which uses AI to automatically generate a depth map of the hand and refine it based on the original image, resulting in a more realistic and aesthetically pleasing depiction of hands.

💡Stable Diffusion

Stable Diffusion is an AI-based software that generates images from textual descriptions or refines existing images. It uses a machine learning model to understand and produce high-quality visual content. In the video, Stable Diffusion is used to upscale images and correct hand issues using the Hand Refiner feature, showcasing its versatility and capability in image enhancement.

💡Depth Map

A depth map is a visual representation that provides information about the distance of objects from the viewer in an image. It is used in image editing and AI-based tools like Stable Diffusion to understand the 3D structure of a 2D image. In the video, the Hand Refiner automatically creates a depth map to accurately refine the hands in the image, ensuring that they appear natural and in proportion with the rest of the image.

💡ControlNet

ControlNet is a feature within the Stable Diffusion software that allows users to control and refine specific aspects of an image, such as the hands, with greater precision. It uses a control map to guide the AI in generating or modifying parts of the image. In the video, ControlNet is used to improve the hand refinement process, making it more effective and efficient.

💡Image-to-Image

Image-to-Image is a process in which one image is used as a reference to generate or modify another image. In the context of the video, this process is used with Stable Diffusion to refine the hands in an image based on the original image's details. It is a faster and more visually appealing method compared to other techniques.

💡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, InPaint is a feature of the Stable Diffusion software that allows users to manually edit and refine specific areas of an image, such as the hands, by painting over them. This provides a level of control and customization that automated processes may not achieve.

💡Upscaling

Upscaling refers to the process of increasing the resolution of an image, making it larger while maintaining or improving its quality. In the video, upscaling is used after refining the hands to enhance the overall image quality without losing the details of the corrected hands.

💡Dream Shaper

Dream Shaper is a version of the Stable Diffusion software's checkpoint, which is a saved state of the model's training. It is used to generate images with specific characteristics or styles. In the video, Dream Shaper ver.8 is used as a checkpoint for generating images before refining the hands.

💡SD15DEPTH Model

The SD15DEPTH Model is a specific version of a machine learning model used within the Stable Diffusion software for hand refinement. It is designed to understand and generate depth maps of hands, allowing for more accurate and realistic refinement of the hands in an image.

💡Hires.fix

Hires.fix is a feature or method used in image processing to upscale images while attempting to maintain or improve their quality. In the context of the video, it is mentioned as a potential issue when used with the Hand Refiner, as it may not properly repair large images that have already been upscaled.

💡Comfy UI

Comfy UI refers to a user interface (UI) that is easy to use and provides a comfortable user experience. In the context of the video, it is mentioned as one of the benefits of using the Stable Diffusion software, highlighting the ease and speed of image generation and the automatic creation of hand masks.

Highlights

Introduction of Hand Refiner that corrects hands in images

Common issue of unrealistic hands in AI-generated images

Previous methods of hand correction involved luck and manual retouching

Control Net's new function for automatic hand correction

Similarity to depthmaplibraryandposer, but with an outdated extension

Automatic creation of depth maps by Control Net

Goal to transform an incorrectly shaped hand into a realistic one

Explanation of the basic usage of the Hand Refiner

Use of Dream Shaper ver.8 and specific parameters for image generation

Advice on sending unscaled images for better hand correction

Instructions for using img2img and control net for image processing

Details on using InPaint for hand refinement

Requirement of having the latest Control Net version for hand refiner

Downloading and installing the SD15InPaintDEPTHHand model

Automatic correction of hand issues and generation of a five-fingered hand

Recommendation on upscaling and resizing for final image touch-ups

Potential errors related to file names and extensions

Application of hand refiner in anime images and its limitations

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