Popular GitHub Repositories for Blip

Famous Vision Language Models and Their Architectures

?? + ? + ? = ? Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]

Chain together LLMs for reasoning & orchestrate multiple large models for accomplishing complex tasks

This repository provides an interactive image colorization tool that leverages Stable Diffusion (SDXL) and BLIP for user-controlled color generation. With a retrained model using the ControlNet approach, users can upload images and specify colors for different objects, enhancing the colorization process through a user-friendly Gradio interface.

[ACM MM 2024] Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives

oCaption: Leveraging OpenAI's GPT-4 Vision for Advanced Image Captioning

MultiCLIP: A framework for multimodal-multilabel-multistage classification utilizing advanced pretrained models like CLIP and BLIP. 一个多模态多标签多阶段分类框架，利用像CLIP和BLIP这样的先进预训练模型。

In this we explore into visual Question Answering Using Gemini LLM and image was in URL or any other extension

Novel framework for Zero-Shot Style Alignment in Text-to-Image generation, incorporating Multi-Modal Context-Awareness and Multi-Reference Style Alignment, using minimal attention sharing, ensuring consistent style transfer without fine-tuning.

Generate cursed videos with AI

Caption image and with that base generate new images (with stable diffusion and in gradio UI)

PictoSymphony is an innovative image processing application that leverages cutting-edge technologies to provide a unique and artistic experience. It combines the power of Salesforce's blip-image-captioning-large model for image description with CompVis's stable-diffusion-v1-4 for image generation.

Generate images for articles, blogs, and publications using NLP, Segmind API, Blip captioning and Llama.Cpp

CaptionCraft is an innovative tool that leverages generative AI to create catchy, engaging captions for any image. Users can upload an image or provide an image URL, and CaptionCraft will analyze the visual content to generate a tailored caption to make your images stand out.

本项目演示了如何使用 BLIP（Bootstrapped Language-Image Pretraining）微调视觉语言模型 (VLMs)，以完成各种多模态 AI 任务。无论您从事图像字幕生成、图像文本检索还是视觉问答 (VQA) 工作，本资源库都提供了一个全面、实用的指南，帮助您将 BLIP 应用到自己的数据中。