I am a senior undergraduate student in the Computer Science Department at National Tsing Hua University in Taiwan.
I am interested in improving the performance of Generative AI, focusing on training better models, building efficient and robust systems, and developing useful tools.
I'm currently working on two projects: HakuTPU and HomeDiffusion.
HakuTPU aims to build a high-performance AI accelerator based on Xilinx FPGA,
while HomeDiffusion seeks to enable pretrained diffusion models on consumer-level hardware.
AI art should look like AI, not humans.
Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
Text to Image with Text Presampling for Optimal Prompting.
Detail-Oriented Pixelization based on Contrast-Aware Outline Expansion.
A series of anime style Stable Diffusion models.
Shin-Ying Yeh, Sang-Hyun Park, Giyeong Oh, Min Song, Youngjae Yu
Yu-Guan Hsieh, Cheng-Yu Hsieh, Shin-Ying Yeh, Louis Béthune, Hadi Pouransari, Pavan Kumar Anasosalu Vasu, Chun-Liang Li, Ranjay Krishna, Oncel Tuzel, marco cuturi
Shin-Ying Yeh, Yu-Guan Hsieh, Zhidong Gao, Bernard B W Yang, Giyeong Oh, Yanmin Gong
Developed and maintained open-source projects related to computer vision and AI.
Included personal project such as LyCORIS, TIPO, PixelOE, HakuLatent and more,
and community projects such as stable-diffusion-webui, sd-scripts and more.
Collaborated with comfy team to improve the usability and performance of Comfy UI eco system.
Mainly working on lora-related system such as lora loader, weight patcher and trainer.
Collaborate with research team in Apple Inc. to explore the possibility of new form dataset.
The works:
"Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions"
have published on Arxiv and Apple official github.
Kohaku is a cute dragon girl.
