Custom ComfyUI nodes for Vision Language Models, Large Language Models, Image to Music, Text to Music, Consistent and Random Creative Prompt Generation

[NeurIPS 2024] AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation

Official repository of "TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models".

Official PyTorch implementation of the WACV 2025 paper "Composed Image Retrieval for Training-FREE DOMain Conversion".

Este proyecto presenta una solución de Computer Vision para la detección y clasificación de objetos en imágenes, las cuales son extraídas como frames de vídeos. Utiliza el modelo FastSAM para la detección de objetos, y para la clasificación, emplea embeddings que pueden ser generados mediante dos modelos distintos: CLIP o SigLIP.

Meme search and discovery engine using OpenAI CLIP and Salesforce BLIP

Notes for the Vision Language Model implementation by Umar Jamil

Implementation of PaliGemma

Framework for learning multi-domain image embeddings suitable for multi-domain image retrieval at instance-level

Training a clip model for vietnamese text