Halcyon
#13 v Text na obrázekStanford · od Preprint arXiv:2610.26863, veröffentlicht um den 20. Oktober 2026 (in News erwähnt) · 2× · naposledy 21. 10. 2026
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Momentum
Halcyon is a family of early-fusion multimodal autoregressive text-to-image models from Stanford and Radical Numerics. The models were trained entirely from scratch on GPIC, a dataset of 100M image-text pairs, without language pretraining. According to the paper, they also learn image captioning (I2T).
Vývoj momenta
23.07.21.10.
Vlastnosti
| Fine-Tuning | Qwen3 architecture, random init, trained from scratch |
| Generation Time | Not documented |
| License | Upstream repositories declare no license according to a third-party ONNX repo |
| Max Resolution | 256x256 pixels (GPIC training resolution) |
| Platform | Code and models at cs.stanford.edu/~keshik/halcyon; models on Hugging Face (radicalnumerics) |
| Release Date | Preprint arXiv:2610.26863 (October 2026) |