How $400K and 208 Million Images Powered Boogu-Image-0.1 to Rival Closed‑Source Models
The Boogu‑Image‑0.1 model, built by Huawei’s Hong Kong lab together with six universities using 208 million images and roughly $400 k in compute, achieves open‑source state‑of‑the‑art text‑to‑image performance comparable to closed‑source systems, and the accompanying report details its training budget, data strategy, architecture choices, benchmark results, and practical lessons for cost‑effective multimodal generation.
