Haofan Wang
Lead Researcher & Co-Founder at Lovart AI
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolHaofan Wang is a lead researcher and co-founder with a decade of experience building generative and agentic AI systems for design-centric products and platforms. He founded InstantX, an open-source generative models team sponsored by Hugging Face and fal.ai, and now leads applied research at Lovart AI, shipping advanced in-house models for designers. His work spans industry research roles at Xiaohongshu and Kuaishou and academic stints at CMU, KAUST, and UC Berkeley, blending production-scale engineering with deep learning research. An active open-source contributor, he has meaningfully extended Hugging Face’s popular diffusers library with LoRA integration and SDXL training improvements, helping bring efficient fine-tuning techniques to wider use. Based in Beijing, he’s pursuing a PhD opportunity while remaining open to AIGC business collaborations, combining entrepreneurial drive with hands-on model-building. Colleagues describe him as a practical innovator who moves state-of-the-art research into usable tools for creators.
10 years of coding experience
5 years of employment as a software developer
Visiting Student Electrical Engineering and Computer Sciences, Visiting Student Electrical Engineering and Computer Sciences at University of California, BerkeleyMaster of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at Carnegie Mellon University
Chinese, English, Japanese
Github Skills (11)
lora10
pytorch10
deeplearning-ai10
stable-diffusion10
deep-learning10
image-generation10
diffusers10
text2image10
machine-learning9
transformers9
python8
Programming languages (4)
Github contributions (5)
huggingface/diffusers
Dec 2022 - Jan 2023
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Role in this project:
ML Engineer
ML EngineerContributions:3 reviews, 3 commits, 31 PRs in 1 month
Contributions summary:Haofan primarily contributed to the fine-tuning and integration of LoRA (Low-Rank Adaptation) models within the Hugging Face Diffusers framework. They worked on supporting LoRA for the text encoder, converting LoRA checkpoints, and integrating noise offset features. Their contributions also include updates to training scripts for text-to-image generation using LoRA and SDXL, along with bug fixes in SDXL training scripts.
pytorchartdeep-learningimage2imagestate-of-the-art
haofanwang/accurate-head-pose
Jan 2019 - Sep 2020
Pytorch code for Hybrid Coarse-fine Classification for Head Pose Estimation
Contributions:10 commits, 1 PR, 3 pushes in 1 year 8 months
pytorchhead-posehead-pose-estimationdeep-learningpose-estimation
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