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In-context subject-driven image generation while preserving foreground fidelity
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
A general fine-tuning kit geared toward diffusion models.
Official repository for our work on micro-budget training of large-scale diffusion models.
Official implementation of OneDiffusion paper (CVPR 2025)
MarinaBox is a toolkit for creating and managing secure, isolated environments for AI agents
Official repository of In-Context LoRA for Diffusion Transformers
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
Orchestrate zero-shot computer vision models
[ICLR 2025] HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models
PyTorch implementation of Real-ESRGAN model
This is a Pytorch implementation of deep image blending
Demo code of the paper: "Deep Image Harmonization", Y.-H. Tsai, X. Shen, Z. Lin, K. Sunkavalli, X. Lu and M.-H. Yang, CVPR 2017
[CVPR 2020] The first large-scale public benchmark dataset for image harmonization. The code used in our paper "DoveNet: Deep Image Harmonization via Domain Verification", CVPR2020. Useful for imag…
the first library to let you embed a developer agent in your own app!