Knowledge Graph
Silytics Knowledge Graph
See how models, datasets, papers and organizations connect. Every link comes from public metadata: papers named on a model card, datasets and base models named in its tags, and the organization that published it. Click any dot to re-center; the smaller outer ring is two steps away.
LucasFang/FLUX-Reason-6M
Open entry pageModelDatasetPaperRepository
Connections
- Logolabs/agate-preview-001 Modelused to train
- SupraLabs/Supra2-IMG Modelused to train
- ivanmikhnenkov/tinydit-256 Modelused to train
- Logolabs/agate-preview-002 Modelused to train
- Logolabs/agate-preview-003 Modelused to train
- bghira/photo-concept-bucket Datasettwo steps away
- Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation Papertwo steps away
- Reviving ConvNeXt for Efficient Convolutional Diffusion Models Papertwo steps away
- detection-datasets/coco Datasettwo steps away
- black-forest-labs/FLUX.2-dev Modeltwo steps away
- LucasFang/OmniEdit-GoT Datasetsame organization
- LucasFang/Laion-Aesthetics-High-Resolution-GoT Datasetsame organization
- LucasFang/JourneyDB-GoT Datasetsame organization
Relationships are extracted automatically from public metadata and may be incomplete or wrong. Absence of a link does not mean absence of a relationship. Intelligence · Compare models