Master the OpenPose Beginner Tutorial with Ease

Table of Contents:

1. Introduction
2. Installing ControlNet
3. Downloading and Installing ControlNet Models
4. Exploring ControlNet Settings
5. Generating Art with a Specific Pose
6. Adjusting Control Weight for Accuracy
7. Using Pixel Perfect Mode
8. Creating Your Own Poses with OpenPose Editor
9. Troubleshooting and Limitations
10. Conclusion

Article:

Introduction

Have You ever wanted your AI-generated art to have a specific pose? Or perhaps you want the art to be Based on a certain image? In that case, ControlNet's OpenPose is the perfect tool for you. In this tutorial, I will guide you through the process of using the ControlNet model in OpenPose to extract pose from an image and even Create your own poses. Whether you are a complete beginner or have some experience with Stable Diffusion, this tutorial is beginner-friendly and will help you get started.

Installing ControlNet

The first step is to install the ControlNet web UI extension. To do this, simply perform a Google search for "ControlNet web UI" and click on the link to the official GitHub page. Copy the link of the GitHub page and go to Stable Diffusion. From there, go to the Extensions section and click on "Install from URL". Paste the link of the ControlNet web UI extension and click "Install". After installation, restart the UI for the changes to take effect. Once the web UI is restarted, you should see the ControlNet extension in the extensions list.

Downloading and Installing ControlNet Models

To make ControlNet work, you need to download a model. Perform a Google search for "ControlNet hugging face" and click on the Hugging Face model for ControlNet. On the model page, navigate to the files and versions section and then the models section. Here, you will find a list of models. Click on the "openpose.pth" model and download it. Copy the downloaded file and go to your web UI install directory. Navigate to "extensions > sdwebui > controlnet > models" and paste the model file here. With this step completed, you are now fully set up with ControlNet.

Exploring ControlNet Settings

Once you have ControlNet installed, you can start exploring its settings. Open the ControlNet extension in your web UI and expand the section to reveal a wide range of options. In this tutorial, we will focus on the main options needed for our purposes.

The first important setting is the "Upload Image" field where you can upload the image from which you want to extract a pose. Below that, you will find the "Enable" checkbox. Make sure to check this box to enable ControlNet. If you have a low VRAM (such as 4GB or 6GB), it is recommended to also check the "Low VRAM" checkbox.

Next is the "Pixel Perfect" mode, which ensures that the preprocessor resolution matches the resolution of the image automatically. This eliminates the need for manual resolution adjustments.

The "Allow Preview" button provides a preview of the open pose model applied to your image. This can help you Visualize the final result before generating the art.

Generating Art with a Specific Pose

Now that you are familiar with the settings, let's generate an image with a specific pose. Start by entering a set of Prompts in the prompt box. For example, if you want an image of a girl with long brown hair wearing a white blouse with raised arms, you can include these prompts. Set the sampling steps to 50 and the resolution Height to 768. Click on "Generate" to start the process.

However, you may Notice that the keywords you entered for the pose may not produce the exact desired result. In such cases, ControlNet can help refine the pose. Simply open the ControlNet tab, load the image, and select the OpenPose preprocessor and model. Enable the ControlNet option and wait for the generation to complete. You will then see that the pose has been extracted from the image, providing a more accurate result.

Adjusting Control Weight for Accuracy

To achieve even better pose accuracy, you can adjust the Control Weight setting. This setting controls how much the control map/output is followed relative to the prompt. Increasing the Control Weight focuses more on ControlNet, but it may sacrifice some image quality. It is recommended to experiment with this setting to find the right balance between pose accuracy and overall image quality.

Using Pixel Perfect Mode

If you are unsure about the resolution of the image or if the image cannot be cropped due to the subject filling the frame, you can enable Pixel Perfect mode. Simply click on the Pixel Perfect checkbox, and ControlNet will adjust the settings automatically to match the image's resolution. This ensures that the pose extraction is performed accurately, regardless of the image's Dimensions.

Creating Your Own Poses with OpenPose Editor

What if you don't have a picture with the pose you need? Or what if you want to create your own unique poses? In such cases, you can utilize the OpenPose Editor. Perform a Google search for "OpenPose Editor" and follow the installation process outlined in the GitHub link. Once installed, you will find a new tab called "OpenPose Editor" in your web UI. This tab allows you to change the positions of the open pose skeleton to create custom poses.

To save a particular pose, click on "Save Preset" and enter a name for the pose. You can also reset the pose using the reset button or load a saved pose using the load preset button. Once you have created the desired pose in the OpenPose Editor, click on "Send to Text-to-Image" to load the pose into the ControlNet tab.

Troubleshooting and Limitations

It's important to note that images downloaded from the internet can have different resolutions. To ensure the best results, it is recommended to crop the image to match the desired resolution, pre-processor resolution, and the width of the generated art. You can use online tools like BIRME to easily crop and resize your images.

Additionally, ControlNet, like any AI model, has its limitations. You might encounter cases where the results do not meet your expectations, especially when using very large or complex images. It's crucial to experiment with different settings, keywords, and prompts to achieve the desired outcome.

Conclusion

In conclusion, ControlNet's OpenPose offers a powerful solution for generating AI art with specific poses. By following the steps outlined in this tutorial, you can extract poses from images, create your own custom poses, and generate art that matches your vision. Remember to explore different settings, adjust the Control Weight for accuracy, and utilize Pixel Perfect mode when necessary. ControlNet opens up endless possibilities for creating unique and personalized AI-generated art.

Highlights:

• Install and utilize ControlNet's OpenPose for generating AI art with specific poses.
• Download and install ControlNet models for optimal performance.
• Explore ControlNet settings and adjust control weight for pose accuracy.
• Use Pixel Perfect mode to ensure accurate pose extraction regardless of image resolution.
• Create custom poses using the OpenPose Editor.
• Troubleshoot issues and be aware of limitations when working with ControlNet.
• ControlNet opens up endless possibilities for personalized AI-generated art.

FAQs:

Q: Can ControlNet extract poses from any image? A: ControlNet can extract poses from images, but results may vary depending on the image's complexity and resolution. It is recommended to experiment with different settings and techniques to achieve the desired outcome.

Q: Can I create my own poses with ControlNet? A: Yes, you can create your own poses using the OpenPose Editor. This tool allows you to adjust the positions of the open pose skeleton to create custom poses.

Q: What is Pixel Perfect mode in ControlNet? A: Pixel Perfect mode automatically adjusts the settings to match the resolution of the image. This ensures accurate pose extraction regardless of the image's dimensions.

Q: Are there any limitations to using ControlNet? A: ControlNet, like any AI model, has its limitations. It may not always produce perfect results, especially with complex or large images. It is important to experiment with different settings and techniques to achieve the desired outcome.