P
PaddleMIX
PaddlePaddle/PaddleMIX
Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks, including end-to-end large-scale multi-modal pretrain models and diffusion model toolbox. Equipped with high performance and flexibility.
★724stars
Python
Apache-2.0
Updated: 4d ago
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Models category, core strengths: aigc/clip
Who made it?Maintained by PaddlePaddle team, 724⭐ on GitHub, #1454 out of 3201 in Models
Why does it exist?As the Models landscape evolved, the PaddlePaddle team identified the need for better aigc solutions. PaddleMIX was created to simplify clip workflows.
What can it do?Key use cases: controlnet, deepseek-vl, dit
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/PaddlePaddle/PaddleMIX
🔗 github.com/PaddlePaddle/PaddleMIX
Topics
aigcclipcontrolnetdeepseek-vlditeva-clipgot-ocr20image-to-textinternvl2llavaminicpm-vmultimodalppdiffusersqwen2-vlsd-xlsorastable-diffusionstablevideodiffusiontext-to-imagetext-to-video