Parallel Decoding Distillation for Fast Image and Video Generation
Generation in video diffusion or flow models is computationally expensive due to the slow and iterative sampling process.
Papers, modelos e datasets em alta no Hugging Face, além do blog oficial — com leitura editorial em português.
Generation in video diffusion or flow models is computationally expensive due to the slow and iterative sampling process.
We present Wonder, a general-purpose video world model for real-time, camera-controllable world exploration.
Diffusion transformers are essential for high-fidelity video generation, but long token sequences make attention a dominant inference bottleneck.
Compressed short-text generators can fail in two different places: the codec may discard information before generation starts, or the latent generator may produce weak codes.
On-policy distillation (OPD) adapts diffusion models by querying a teacher along trajectories generated by the current student, but how it should behave under classifier-free guida…
Dataset com 10 mil – 100 mil exemplos — 5.1 mil downloads no Hugging Face. PixelGPT 24×24 — 20K 20,000 native 24×24 pixel-art sprites with captions and semantic taxonomy labels.
Modelo de modelo — 82.5 mil downloads e 114 curtidas no Hugging Face.
Regra permitiria que os estados decidam quanta participação pública pode haver — se é que haverá alguma.
Dataset com 1 – 10 milhões de exemplos — 2.5 mil downloads no Hugging Face. 3.14 million scene-level video clips with multi-level captions, camera labels, semantic tags, quality signals, and duplicate groups. VidaForge Code ·…
Modelo de geração de imagem — 610 downloads e 72 curtidas no Hugging Face.
Organizações de notícias estão usando IA para fortalecer a reportagem, ampliar audiências e aprimorar operações de negócios, com as ferramentas da OpenAI apoiando jornalistas e editores em todo o mundo.