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ConsisID: a portrait reference map, generate character consistent video, rapid integration of multi-terminal - Chief AI Sharing Circle

ConsisID: a portrait reference map to generate character-consistent video, rapid multi-terminal integration

Comprehensive Introduction ConsisID is an open-source project developed by Yuan Rong's group at Peking University, aiming to realize identity-consistent text-to-video generation (IPT2V) through frequency decomposition techniques. The core of the project is a DiT (Diffusion Transformer) based model that is able to generate video while maintaining...

TRELLIS: 3D Asset Generation Model Developed by Microsoft, Supports Multiple Formats and Flexible Editing - Chief AI Sharing Circle

TRELLIS: Microsoft-developed 3D asset generation model with multiple format support and flexible editing

General Introduction TRELLIS is a large-scale 3D asset generation model developed by Microsoft. It is capable of receiving text or image prompts and generating high quality 3D assets in various formats such as radial fields, 3D Gaussians, and meshes.At the heart of TRELLIS is a unified Structured Latent Variable (SLAT) representation, which makes it...

Bambo: Lightweight and Flexible Intelligent Body Framework, Simple Configuration of Roles and Tools to Handle Multiple Loads of Tasks - Chief AI Sharing Circle

Bambo: a lightweight and flexible framework for intelligent bodies, with simple configuration of roles and tools to handle multiple loads of tasks

Comprehensive Introduction Bambo is a new type of proxy framework, which is lighter and more flexible than the mainstream frameworks, and can handle a variety of load tasks.Bambo achieves efficient proxy functionality by defining all the tools in the tools directory, and using asynchronous custom functions. Users can use the llm_client.py file...

Marco-o1: An open source version of OpenAI o1 model based on Qwen2-7B-Instruct fine-tuning to explore open inference models for solving complex problems - Chief AI Sharing Circle

Marco-o1: An Open Source Version of the OpenAI o1 Model Based on Qwen2-7B-Instruct Fine-Tuning to Explore Open Inference Models for Solving Complex Problems

Comprehensive Introduction Marco-o1 is an open reasoning model developed by Alibaba International Digital Commerce Group (AIDC-AI) to solve complex real-world problems. The model combines Chain of Thought (CoT) fine-tuning, Monte Carlo Tree Search (MCTS), and innovative reasoning strategies to optimize complex problem solving any...

Flow (Laminar): a lightweight task engine for building intelligences that simplifies and flexibly manages tasks

Comprehensive Introduction Flow is a lightweight task engine designed for building AI agents, emphasizing simplicity and flexibility. Unlike traditional node- and edge-based workflows, Flow uses a dynamic task queuing system that supports parallel execution, dynamic scheduling, and intelligent dependency management. Its core concept is to parallelize ...

Translation Agent WebUI: Wu Enda Translation Intelligence Body Interface Version, Providing Multiple Translation APIs and Gradio Interface-Chief AI Sharing Circle

Translation Agent WebUI: Wu Enda Translation Intelligence Body Interface Edition, providing multiple translation APIs and Gradio interface

General Introduction Translation Agent WebUI is a Gradio-based web user interface designed for Andrewyng's translation-agent. The tool is able to automatically detect the language of the input text, and performs a word-splitting process on the text, highlighting the differences between the different translations...

MegaParse: parses all types of documents into LLM usable data, preserving all information in the document such as tables, pictures, etc.-Chief AI Sharing Circle

MegaParse: parses all types of documents into LLM-available data, preserving all information in the document such as tables, pictures, etc. in its entirety

Comprehensive Introduction MegaParse is a powerful and versatile document parsing tool designed to optimize data processing for the Large Language Model (LLM). Whether you are working with text, PDF, PowerPoint presentations or Word documents, MegaParse makes it easy and ensures that the parsing process is not...

RMBG-2-Studio: open source program for batch removal of image and video backgrounds, optimized based on RMBG 2.0 - Chief AI Sharing Circle

RMBG-2-Studio: open source program for batch removal of image and video backgrounds, optimized for RMBG 2.0

General Introduction RMBG-2-Studio is an enhanced background removal and replacement application developed based on the BRIA-RMBG-2.0 model. The application is designed to provide users with efficient and accurate image background processing capabilities for a wide range of image types, including e-commerce, gaming and advertising content.RMBG-2-Studio supports...

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