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 clothes in photos for free using Stable Diffusion with inpainting and ControlNet. To start, viewers need to have the Automatic1111 web UI and the ControlNet extension installed. After installing the ControlNet extension and downloading the necessary Open pose model and inpainting checkpoint model, users can begin transforming their images. The process involves painting over the clothes in the image, using positive and negative prompts, and adjusting configuration settings. However, sometimes the pose may not match the original, which is where ControlNet comes in to preserve the pose. The tutorial also provides creative ideas for using this skill, such as creating professional headshots for LinkedIn or transforming into a fashion icon. The host encourages viewers to explore and stay creative with their new-found ability to change clothes in photos using Stable Diffusion.

Takeaways

  • 📌 Freely change clothes in photos using Stable Diffusion with the help of inpainting and ControlNet.
  • 🛠️ Install Automatic1111 web UI and the ControlNet extension to get started.
  • 📚 Download the Open pose model for ControlNet and place it in the correct folder.
  • 🔍 Use an inpainting checkpoint model like Realistic Vision or Clarity for better results.
  • 🖌️ Paint over the clothes in the image to indicate the area for transformation.
  • ✨ Transform images into a more formal look using positive and negative prompts.
  • ⚙️ Adjust configuration settings like sampling steps and noise strength for the inpainting process.
  • 🧍 Preserve the pose using ControlNet by enabling it and selecting the appropriate model.
  • 📈 ControlNet helps maintain the original pose even after clothes transformation.
  • 💼 Use this technique to create professional headshots for LinkedIn or job interviews.
  • 🌟 Turn yourself into a fashion icon or explore other creative uses for this skill.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is how to change clothes in photos for free using Stable Diffusion with inpainting and ControlNet.

  • What are the prerequisites for using Stable Diffusion to change clothes in photos?

    -To use Stable Diffusion for changing clothes in photos, you need to have the Automatic 1111 web UI installed, the Control Net extension for Automatic 1111, the Open pose model for Control Net, and an inpainting checkpoint model such as Realistic Vision or Clarity.

  • What is the first step in changing clothes in a photo using Stable Diffusion?

    -The first step is to upload the image you want to transform into the img2img tab in Automatic 1111 and paint over the clothes.

  • What are positive and negative prompts?

    -Positive and negative prompts are instructions given to the AI to guide the transformation process. Positive prompts describe the desired outcome, while negative prompts indicate what to avoid.

  • How does ControlNet help in preserving the pose of a person when changing clothes in a photo?

    -ControlNet uses the Open pose model to analyze and maintain the original pose of the person in the photo, ensuring that the transformation looks natural and the pose matches the original image.

  • What is the purpose of the low vrm and Pixel Perfect checkboxes in ControlNet?

    -The low vrm and Pixel Perfect checkboxes in ControlNet are used to refine the image generation process, ensuring that the final output is of high quality and closely matches the desired transformation.

  • What are some potential uses for the skill of changing clothes in photos using Stable Diffusion?

    -Potential uses include creating professional headshots for LinkedIn or job interviews, transforming personal photos into fashion icons, and experimenting with various styles and looks without physically changing clothes.

  • How can one find cool prompts for changing clothes in Stable Diffusion?

    -One can find cool prompts on the presenter's website, which provides examples and inspiration for different styles and transformations.

  • What is the role of the inpainting checkpoint model in the transformation process?

    -The inpainting checkpoint model is responsible for generating the new appearance of the clothes in the photo, using the inpainted areas as a guide.

  • What is the recommended inpaint area setting when using the inpainting feature in Automatic 1111?

    -The recommended inpaint area setting is to only mask the area and set the masked content to original.

  • How can one ensure that the transformation process is smooth and the final image is of high quality?

    -Ensuring a smooth transformation and high-quality final image involves careful selection of prompts, adjusting configuration settings like sampling steps and noise strength, and using ControlNet to maintain the original pose.

  • What is the significance of the 'noising strength' setting in the transformation process?

    -The 'noising strength' setting controls the level of randomness in the transformation process. A very low to no noise strength (between 0.5 to 0.7) helps in achieving a more controlled and refined transformation.

Outlines

00:00

🎨 Photo Clothes Transformation with Stable Diffusion

The video begins with an introduction to a free method for changing clothes in photos using Stable Diffusion, a tool that is usually advertised as a paid feature. The presenter guides viewers through the setup process, including the installation of the Automatic 1111 web UI, the Control Net extension, and downloading the necessary models for Control Net and inpainting. The main demonstration involves using the img2img tab in Automatic 1111, painting over clothes in an image, and applying both positive and negative prompts to transform the image into a more formal look. The video also addresses potential issues with pose distortion and how the Control Net extension can help preserve the original pose. The presenter concludes with creative ideas for using this skill, such as creating professional headshots for LinkedIn or fashion icons.

Mindmap

Keywords

💡Stable Diffusion

Stable Diffusion is an AI model for generating images from text descriptions. It is a part of the broader field of generative AI and is known for its ability to create detailed and realistic images. In the video, it is used to change the clothes of individuals in photos, demonstrating its versatility in image manipulation.

💡Inpainting

Inpainting is a technique used in image processing to fill in missing or damaged parts of an image. In the context of the video, inpainting is utilized to cover up the clothes in a photo, which is a crucial step before transforming them using Stable Diffusion.

💡ControlNet

ControlNet is an extension for the Automatic1111 web UI, which works in conjunction with Stable Diffusion. It is used to control and refine the output of the AI, particularly when it comes to maintaining the integrity of the human pose in the image. The video demonstrates how ControlNet helps to preserve the original pose while changing the clothes.

💡Open Pose Model

The Open Pose Model is a type of neural network model used for detecting human poses in images. It is a component of the ControlNet extension and is essential for accurately identifying and maintaining the human pose during the clothing transformation process in the video.

💡Checkpoint Model

A Checkpoint Model in the context of AI refers to a saved state of the model's training, which can be used to continue training or to perform inference tasks. In the video, the Realistic Vision or Clarity inpainting model is mentioned as a recommended checkpoint model for inpainting tasks.

💡Automatic1111 Web UI

Automatic1111 Web UI is a user interface for running and interacting with the Stable Diffusion model. It provides a way for users to input commands and parameters to generate images. The video script instructs viewers on how to install necessary extensions and models through this interface.

💡Positive and Negative Prompts

In the context of AI image generation, positive and negative prompts are instructions given to the model to include or exclude certain elements in the generated image. The video uses these prompts to guide the transformation of casual clothing into a more formal and professional look.

💡Uler Ancestral Sampler

The Uler Ancestral Sampler is a technique or setting used within the AI model to influence how the image is generated. It is mentioned in the video as part of the configuration settings for the inpainting process.

💡Sampling Steps

Sampling steps refer to the number of iterations or steps taken during the image generation process. In the video, the narrator sets the sampling steps to 30, which determines the depth of the AI's processing for creating the final image.

💡CF FG Scale

CF FG Scale is a parameter within the AI model that affects the quality or detail of the generated image. The video mentions setting the CF FG scale to a specific value, which influences the final output's clarity and detail level.

💡Professional Headshot

A professional headshot is a type of portrait photography used for business or professional purposes, such as on LinkedIn profiles or for job interviews. The video suggests using Stable Diffusion to transform casual images into professional headshots by changing the clothing.

💡Fashion Icon

A fashion icon is a person known for their distinctive and influential style in fashion. The video implies that with the use of Stable Diffusion and the techniques demonstrated, one can create images that emulate the appearance of a fashion icon, showcasing various styles and trends.

Highlights

Learn how to change clothes in photos for free using Stable Diffusion.

Automatic 1111 web UI and Control Net extension are required for this process.

Install the Control Net extension from the provided URL and restart Stable Diffusion.

Download the Open Pose model for Control Net and place it in the designated folder.

An inpainting checkpoint model such as Realistic Vision or Clarity is needed.

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

Use positive and negative prompts to guide the transformation process.

Adjust configuration settings for clarity in painting and sampling steps.

Control Net can fix issues with pose mismatch after the initial transformation.

Enable Control Net, select the Open Pose model, and additional options for best results.

Control Net preserves the human pose, making it ideal for changing clothes in images.

Use this skill to create professional headshots for LinkedIn or job interviews.

Transform everyday images into fashion icons with the help of Stable Diffusion.

Explore creative prompt ideas on the website for further inspiration.

Stable Diffusion allows you to become anyone you want, from a Rockstar to a Chef or a Fashion Model.

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

Ensure you have all the necessary components installed and correctly configured before starting.

The inpainting process can be fine-tuned with various settings to achieve the desired outcome.

Control Net is a powerful tool for maintaining the integrity of the original pose during transformations.