Done with out last three features:
Conversational Refinement: Users can refine recommendations through conversation with LLaMA. For example, they can request recommendations for specific colours or styles.
Image Upscaling: If users are satisfied with the results, they can upscale the image from 512p to 2048p using ESRGAN_4x. This high-resolution image can then be sent to Google Lens for identifying and purchasing the generated clothing.
LoRA Models: We've also trained LoRA models for specific clothing items. This method can be used on a larger scale to train models based on an e-commerce website’s catalogue of clothing.
We are now starting to integrate the frontend with our backend
Log in or sign up for Devpost to join the conversation.