How To Change Clothes In Stable Diffusion With Inpainting & ControlNet

OpenAI Journey
11 Jan 202405:03

TLDRIn this tutorial, the host demonstrates how to change clothing in photos using Stable Diffusion, a free AI tool. After ensuring Automatic 1111 Web UI and the ControlNet extension are installed, the process involves uploading an image to the img2img tab, using inpainting to cover clothes, and applying positive and negative prompts for transformation. The Clarity inpainting model with the ULER ancestral sampler is recommended, with 30 sampling steps and a low noise strength. ControlNet is then used to maintain the original pose, with the Open Pose model selected for pose detection. The tutorial suggests using this skill for professional headshots for LinkedIn or fashion icons, offering limitless possibilities for image transformation.

Takeaways

  • 🎨 **Free Clothing Change**: Learn how to change clothes in photos for free using Stable Diffusion.
  • 🛠️ **Software Requirements**: Ensure you have Automatic1111 web UI and the ControlNet extension installed for Stable Diffusion.
  • 📚 **Extension Installation**: Install the ControlNet extension from a provided URL and restart Stable Diffusion afterward.
  • 🔍 **Open Pose Model**: Download and place the Open pose model for ControlNet in the appropriate folder.
  • 🧩 **Inpainting Model**: Use a recommended inpainting checkpoint model like Realistic Vision or Clarity for optimal results.
  • 🖌️ **Image Preparation**: Upload the image to the img2img tab in Automatic1111 and use the inpaint feature to cover the clothes.
  • 📝 **Prompts for Transformation**: Use positive and negative prompts to guide the transformation into a more formal or professional look.
  • ⚙️ **Configuration Settings**: Adjust settings such as sampling steps, noise strength, and inpaint area for the best outcome.
  • 🤹‍♂️ **Pose Preservation**: Use ControlNet to maintain the original pose of the subject during the clothing transformation.
  • 📈 **Model Selection**: Choose the appropriate Open pose model and enable features like low VRM and Pixel Perfect for better results.
  • 👔 **Professional Use Cases**: One application is creating professional headshots for LinkedIn or job interviews by transforming casual images.
  • 🌟 **Creative Potential**: With Stable Diffusion, you can transform yourself into various personas like a rockstar, chef, or fashion model, limited only by your creativity.

Q & A

  • What software and extensions are necessary for changing clothes in images using Stable Diffusion?

    -To change clothes in images using Stable Diffusion, you need the Automatic 1111 web UI installed to run Stable Diffusion, along with the ControlNet extension. Additionally, the Open Pose model and an inpainting checkpoint model (like Realistic Vision or Clarity) are required.

  • How do you install the ControlNet extension in Stable Diffusion?

    -To install the ControlNet extension, go to the extensions tab in Automatic 1111, click on 'Install from URL' tab, enter the URL of the extensions page, click install, and restart Stable Diffusion once the installation is complete.

  • What is the process to change clothes in an image using Stable Diffusion?

    -To change clothes, use the img2img tab, upload your image, paint over the clothes in the inpaint tab, use specific positive and negative prompts, and adjust configuration settings like sampling steps and CFG scale. Finally, generate the new image using the inpainting checkpoint.

  • What settings are recommended for the inpainting process in Stable Diffusion?

    -For inpainting in Stable Diffusion, it is recommended to use the Clarity inpainting checkpoint with the Euler ancestral sampler, set sampling steps to 30, CFG scale to 7, and denoising strength between 0.5 to 0.7. The inpaint area should be set to only masked and masked content to original.

  • What is the role of ControlNet and the Open Pose model in changing clothes using Stable Diffusion?

    -ControlNet and the Open Pose model help preserve the pose of the human subject in the image during the clothes-changing process. ControlNet uses the pose data from the Open Pose model to ensure the pose remains accurate and matches the original image.

  • What are some possible uses for the clothes-changing feature in Stable Diffusion?

    -The clothes-changing feature can be used to create professional headshots for LinkedIn or job interviews, transform personal images into different styles, or explore fashion design by trying out new outfits on existing images.

  • How does enabling ControlNet affect the outcome of the clothes transformation?

    -Enabling ControlNet improves the accuracy of the body pose in the transformed image, preventing issues like pose mismatches which can occur when only using inpainting. This makes the final output appear more natural and true to the original posture.

  • What are the challenges of using only inpainting to change clothes in Stable Diffusion?

    -Using only inpainting can sometimes result in pose mismatches where the new clothes do not align properly with the body posture of the person in the image, leading to unrealistic and visually disjointed results.

  • What can you do if the pose goes haywire when changing clothes using Stable Diffusion?

    -If the pose does not match the original after initially generating the image with inpainting, you can use the ControlNet feature with the Open Pose model to correct the pose and generate a more accurate rendition of the clothes change.

  • Where can you find inspiration for different clothing prompts to use with Stable Diffusion?

    -Inspiration for clothing prompts can be found on the tutorial's website, which offers examples and ideas for transforming images into various styles, from professional looks to fashion-forward outfits.

Outlines

00:00

🎨 Photo Clothing Transformation with Stable Diffusion

This paragraph introduces the video's focus on demonstrating how to alter clothing in photos using the free tool Stable Diffusion. It guides viewers to set up the Automatic 1111 web UI, install the Control Net extension, download the Open Pose model for Control Net, and an inpainting checkpoint model. The process involves uploading an image, using prompts to guide the transformation, and adjusting settings for optimal results. The paragraph also addresses potential issues with pose distortion and how Control Net can help maintain the original pose.

Mindmap

Keywords

💡Stable Diffusion

Stable Diffusion is an open-source artificial intelligence (AI) model for generating images from textual descriptions. In the context of the video, it is used to demonstrate how to change clothes in photos for free, which is typically a feature offered by paid tools. The video shows viewers how to utilize Stable Diffusion with additional tools to achieve this effect.

💡Inpainting

Inpainting is a technique used in image processing to fill in missing or damaged parts of an image. In the video, inpainting is used to cover up the clothes in a photo, which is the first step towards changing the clothes digitally. The process is shown as part of the overall method to transform the image into a more formal or professional look.

💡ControlNet

ControlNet is an extension for the Automatic1111 web UI that aids in controlling the generation process of images, particularly in preserving the pose of subjects within the images. In the video, it is used to correct any distortions in the pose that might occur during the inpainting process, ensuring the final image matches the original pose.

💡Automatic1111 Web UI

The Automatic1111 Web UI is a user interface for running Stable Diffusion. It is mentioned in the video as a prerequisite for the process of changing clothes in photos. The interface allows users to interact with the Stable Diffusion model more easily and is where the ControlNet extension is installed and used.

💡Open Pose Model

The Open Pose Model is a type of model used by ControlNet to detect the pose of humans in an image. It is crucial for ensuring that the pose is maintained when changing clothes using Stable Diffusion. In the video, it is downloaded and placed in the ControlNet folder to be used alongside the Stable Diffusion process.

💡Inpainting Checkpoint Model

An Inpainting Checkpoint Model is a specific type of AI model used to guide the inpainting process. In the video, the Realistic Vision or Clarity inpainting model is recommended for its effectiveness. This model is used to guide the transformation of the clothes in the image, ensuring a realistic outcome.

💡Positive and Negative Prompts

Positive and negative prompts are instructions given to the AI model to guide the image generation process. Positive prompts describe the desired outcome, while negative prompts indicate what to avoid. In the video, these prompts are used to transform the image into a more formal and professional look, providing clear direction to the AI.

💡Configuration Settings

Configuration settings are the parameters that users can adjust to control the behavior of the AI model during the image generation process. In the video, the presenter adjusts settings such as the sampling steps, CFG scale, and noise strength to fine-tune the inpainting process and achieve the desired result.

💡Professional Headshot

A professional headshot is a type of portrait photography used for professional purposes, such as on LinkedIn or for job interviews. In the video, the presenter demonstrates how to use Stable Diffusion to transform a casual image into a professional headshot by changing the clothes and adjusting the image to a more formal appearance.

💡Fashion Icon

A fashion icon is a person known for their distinctive style and influence on fashion trends. In the context of the video, the presenter suggests that with the skills learned from the tutorial, viewers can use Stable Diffusion to create images of themselves as fashion icons, implying a wide range of creative possibilities.

💡Pose Detection

Pose detection is the process of identifying and understanding the position and posture of a person within an image. In the video, the Open Pose model is used for pose detection to ensure that when clothes are changed using Stable Diffusion, the pose of the person in the image is preserved accurately.

Highlights

The video demonstrates how to change clothes in photos for free using Stable Diffusion.

Automatic 1111 web UI and the ControlNet extension are required for the process.

The Open pose model for ControlNet and an inpainting checkpoint model are necessary components.

Upload the image you want to transform in the img2img tab of Automatic 1111.

Use inpainting to cover the clothes and set positive and negative prompts for the desired outcome.

Adjust configuration settings including sampling steps, CF FG scale, and noise strength for optimal results.

ControlNet can correct issues with pose mismatch in the generated image.

Enable the ControlNet toggle and select the Open pose model to maintain the original pose.

Low VRM and Pixel Perfect checkboxes can enhance the final image quality.

The tutorial provides a step-by-step guide to changing clothes in photos using Stable Diffusion.

Inpainting and ControlNet can be used to create professional headshots for LinkedIn or job interviews.

The process can transform regular photos into fashion icons or various other professional roles.

Cool prompt ideas for changing clothes in Stable Diffusion are available on the channel's website.

The sky is the limit with what you can achieve by changing clothes in photos using this method.

The video offers a creative and innovative way to edit photos without the need for paid tools.

The tutorial is aimed at helping viewers to become more creative with their photo editing.

Questions and feedback can be shared in the comments section of the video.

Encouragement to like, subscribe, and enable notifications for more tutorials is provided.

Casual Browsing

Change Clothes with Fooocus Free AI | How to Change Clothes with AI FREE

2024-04-28 14:00:01

How to CHANGE CLOTHES using SeaArt AI

2024-04-15 07:10:01

How to change clothes on your AI model

2024-04-28 13:50:01

"Change Clothes in Videos with AI Magic! Replacer & SegmentAnything Unleashed!"

2024-04-28 14:30:01

Change Image Style With Multi-ControlNet in ComfyUI 🔥

2024-05-17 21:45:03

How to Inpaint in Stable Diffusion A1111, A Detailed Guide with Inpainting Techniques to level up!

2024-04-17 11:25:01