MUSE-AI-Lab/Concept-Brittleness
Concept Brittleness
Older snapshot: check the original source for current information.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Yifan Yuan1 · Xiangyu Liu2 · Hongming Shan3 · Yu Han4 · Yu Jiang5 · Hao Tan1 · Junping Zhang6 · Linlin Shen1† 1School of Artificial Intelligence, Shenzhen University   2School of Mathematical Sciences, Shenzhen University 3Institute of Science and Technology for Brain-inspired Intelligence, Fudan University   4College of Computer Science and Software Engineering, Shenzhen University 5Department of Statistics and Data Science, National University of Singapore   6College of Computer Science and Artificial Intelligence, Fudan University Equal contribution   †Corresponding author ACM MM 2026 Object-dependent concept brittleness: for a fixed concept, FLUX.1-dev succeeds on most objects but repeatedly fails on a few (four random seeds each). TL;DR: Text-to-image diffusion models follow most prompts, yet a fixed concept such as ink sketch can fail again and again on a few objects — grapes become an ink sketch, a cake stays in full colour, whatever the seed. We call this object-dependent concept…
Read the full README ↗ · Preview checked 2026-10-30T12:51:27.954Z
Inside the original README — Document outline
- Interpreting Object-Dependent Concept Brittleness in Text-to-Image Diffusion Models
- 🔍 Method
- 🛠️ Installation
- 📦 Model Weights
- 🚀 Usage
- 📊 Results
- 📁 Repository Structure
- 📝 Citation
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the README
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
Concept Brittleness
Repository facts
- Owner
- MUSE-AI-Lab
- Primary language
- Python
- Stars
- 262
- Forks
- 0
- Open issues + pull requests
- 6
- License
- Not reported — inspect the license file
- Archived
- No
- Default branch
- main
- Created
- 2026-10-28T15:08:18.000Z
- Last push
- 2026-10-29T04:58:55.000Z
Topics and intended use
No topics were included in the latest source metadata.
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-10-30T12:16:30.730Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related repositories
EbookFoundation/free-programming-books
donnemartin/system-design-primer