Model Detail
stable-diffusion-3-medium
—stable-diffusion-3-medium is an image generation model released by Stability. The model is registered under the text-to-image pipeline tag on Hugging Face, distributed under a other license.
Access is gated on Hugging Face under the other license, which means a manual approval step before weights can be downloaded.
stable-diffusion-3-medium is best fit for text-to-image generation and creative iteration. It is a less obvious choice for production photography pipelines that need exact reproducibility. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
Stable Signer V3: 4D Deformable Primitive Splatting Is All You Need for Sign Language Production
arXiv:2610.24926v2 Announce Type: replace-cross Abstract: We present Stable Signer V3, an interactive high-resolution sign language avatar system built on 4D Deformable Primitive Splatting. It addresses three limitations of existing avatars: restricted facial expression, inaccurate identity-specific
LatBridge: Efficient and Stable Model Replacement in Latent-Communication Multi-Agent Systems
arXiv:2610.27813v1 Announce Type: new Abstract: Multi-agent systems rely on communication to complete tasks, and latent communication passes continuous representations to reduce text generation and re-encoding. However, multi-agent systems must reconfigure agent models, whereas existing latent-commu
Recast the Past: Stable Long Video Generation with Full Context Memory
arXiv:2610.27986v1 Announce Type: cross Abstract: Long-horizon video generation requires retaining an ever-expanding history, but conditioning on its growing token sequence is costly. Existing methods restrict or compress historical context, potentially losing information needed for future generatio
Rescene: stable century-long climate emulation from a frozen weather model
arXiv:2608.09971v2 Announce Type: replace-cross Abstract: Machine-learning weather models now match or exceed operational numerical prediction in the medium range, but when they are run freely for years they drift, blow up or lose their variability, and dedicated climate emulators are expensive to t
Sharp and Stable Label-Free Calibration Certificates from Logical Coherence
arXiv:2610.21567v1 Announce Type: new Abstract: Query-conditioned probabilistic predictors answer logically related questions one at a time, and labels to check their calibration are often missing. For each restriction on what a bettor's stakes may use, a minimax theorem identifies, for finitely sup
ACEdit: Stable Multi-Turn Image Editing via Asymmetric Conditioning
arXiv:2610.22328v1 Announce Type: cross Abstract: Image editing models produce impressive results for individual edits, but their quality often deteriorates over multiple editing turns. Each editing turn introduces small distribution shifts that accumulate over successive edits, creating a gap betwe
