AI Virtual Dressing: Lecture Notes

Introduction

• Overview of AI application in virtual clothing try-ons
• Focus on an easy and convenient method without using complex tools like Stable Diffusion

Tool Overview: Outfit Anyone

• Name: Outfit Anyone
• Features:
  • Ultra-high quality virtual try-on for any clothing and any person
  • Available on GitHub with research papers and demos

Examples of Virtual Try-Ons

• Demonstration of models wearing different outfits:
  • Female model wearing a dress
  • Male model in a realistic dress fitting
  • Various examples showcasing the realistic appearance of fitted clothing
• Details added to clothing (e.g., jackets and jeans) showcased in before-and-after examples

Accessing the Tool

• Two main ways to access the AI tool:
  1. Outfit Anyone Playground
  2. Hugging Face (similar functions)
• Users can select from a range of male and female models (10 to 12 models available)

Using the Tool: Step-by-Step

1. Select a model and outfit from examples
2. Upload a custom outfit image (e.g., leather jacket)
3. Hit the 'Run' button to generate output
4. Review the output for fitting accuracy

Creating Custom Models

• To create a personalized model outfit:
  1. Use generated image from Outfit Anyone
  2. Utilize Focus tool for further editing
  3. Set control settings to enable advanced features (Developer Debug Mode)
     • Select mixing image prompt and upscale options

Background Editing

• Use Adobe Firefly for background changes:
  1. Upload the edited image
  2. Use generative fill to remove backgrounds
  3. Prompt for new environments (e.g., "standing in a studio")
  4. Generate and select the preferred background image

Considerations

• Method is user-friendly for non-technical individuals
• Note: Changing poses may require additional tools like OpenPose

Conclusion

• Encouragement to explore the method for dressing AI influencers
• Call to action: thumbs up if learned something new and sign off for the next session.