2026Paper
BiotiqueAI-Lumen: Latent Diffusion at 4K with 1-Step Refinement
A new architecture that produces 4K imagery in a single refinement step, reducing inference cost by 6×.
Research
BiotiqueAI Labs — pushing the frontier of generative imaging.
Our research team works on diffusion models, controllability, efficient inference and safety. We publish what we learn — read our papers, model cards and tech reports.
Lab visuals
Observing intelligence at multiple resolutions.
Recent publications
Papers & releases.
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2026Paper
Brand-Lock: Constraining Diffusion Outputs to Visual Identity
A LoRA-based fine-tuning scheme that holds brand colors, typography and product silhouettes invariant under prompt drift.
2025Pre-print
Prompt Distillation for Faithful Generation
We show distilled prompt encoders reduce hallucinations by 38% on the GenEval benchmark.
2025Tech report
Safety in the Loop: Real-Time IP & NSFW Filtering at Scale
Our production safety stack and how we keep false-positives under 0.4% across 10M+ daily generations.
Research focus
Four questions we care about.
Controllability
How do we let users steer composition, lighting and style without losing fidelity?
Efficiency
Smaller, faster, cheaper inference — without giving up image quality.
Safety & IP
Building generative systems that respect creators, trademarks and consent.
Evaluation
Better metrics for what humans actually consider a 'good' generated image.
Want to collaborate?
We work with academic labs, independent researchers and partner companies.
Get in touch