umilISLab/artistic-prompt-interpretation
Investigating how text-to-image diffusion models internally represent artistic concepts like content and style when generating artworks.
No commits in the last 6 months.
Stars
3
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Aug 04, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/umilISLab/artistic-prompt-interpretation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jolibrain/joliGEN
Generative AI Image and Video Toolset with GANs and Diffusion for Real-World Applications
ali-vilab/AnyDoor
Official implementations for paper: Anydoor: zero-shot object-level image customization
zhangmozhe/Deep-Exemplar-based-Video-Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
un1tz3r0/finetunepixelartdiffusion
Fine tune a pixelart diffusion model with isometric dataset.
naver-ai/StyleKeeper
Official Pytorch implementation of "StyleKeeper: Prevent Content Leakage using Negative Visual...