Jiaqi Wu

prompt-to-prompt. workable version on diffusers 0.17.1

GenP5-Official. a p5.js library enabling generative procedural art creation with flexibly stylizing canvas content and conveniently condition art creation with pre-determined patterns

Network_Security_Seedlabs. The seedlabs of Network Security. (Ability limited, only for reference)

GenP5-P52Style.

Mask-Guided-Attention-Semantic-Guidance-for-Text-to-Image-Diffusion-Models. The method can generate images guided by multi-object prompts and follow the soft mask layout condition by user input. This work is built upon Attend-and-Excite:Attention-Based Semantic Guidance for Text-to-Image Diffusion Models (SIGGRAPH 2023).

Simple-Text-Inpainting-System. In this work, we bring about the idea of text inpainting, and design a system for text inpainting task using simple easy sentences and zero shot learning. We demonstrate our method to get dataset and implement the system with limited time and resource, making use of LLM. We also conduct a set of evaluations.

P52Style-Official. an extended library built upon p5.gui 2 allowing flexible adjustment of art content and leverage of visual generative AI for style learning tasks.

Sysytem_Security_Class_Project. Python