{"schema_version":"onlylabs.public_signal.v1","title":"Qwen (Alibaba Cloud) Model: Qwen/Qwen-Image-2.1-PE-T2I","description":"Qwen (Alibaba Cloud) model signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/ba277595-db5b-4efd-9958-ebdabcd14c6c","json_url":"https://onlylabs.fyi/signals/ba277595-db5b-4efd-9958-ebdabcd14c6c/signal.json","generated_at":"2026-10-12T17:24:42.720Z","evidence_latest_fetched_at":"2026-09-21T07:20:24.260947+00:00","signal_first_seen_at":"2026-09-21T07:20:08.901797+00:00","org":{"slug":"qwen","name":"Qwen (Alibaba Cloud)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/qwen","dossier_json_url":"https://onlylabs.fyi/labs/qwen/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/ba277595-db5b-4efd-9958-ebdabcd14c6c","signal_json":"https://onlylabs.fyi/signals/ba277595-db5b-4efd-9958-ebdabcd14c6c/signal.json","source":"https://huggingface.co/Qwen/Qwen-Image-2.1-PE-T2I","lab_dossier":"https://onlylabs.fyi/labs/qwen","lab_dossier_json":"https://onlylabs.fyi/labs/qwen/dossier.json","analysis":"https://onlylabs.fyi/analysis/qwen","analysis_json":"https://onlylabs.fyi/analysis/qwen/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/qwen/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml","data_business":null},"answer_pack":{"answer":"Qwen (Alibaba Cloud) published Qwen/Qwen-Image-2.1-PE-T2I. 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With just **7B parameters in its visual generation component** (32 Single-Stream DiT layers), Qwen-Image-2.1 balances generation quality, inference efficiency, and versatility. Four key improvements define this release: - **Compact and Efficient** — A lightweight architecture with mixed-granularity attention and prefix KV cache reuse delivers strong image quality at low computational cost. - **Native Transparency, Unified Creation and Editing** — Generate regular or transparent (RGBA) images from text, edit transparent layers, and extract subjects from photographs—all in one model. - **Versatile Editing** — Support up to **10 reference images**, specify local edits via circles, painted annotations, or separate masks, and preserve identity for people and products. - **Realistic Textures and Refined Aesthetics** — Improved typography, portrait lighting, and fine details for more visually compelling results. 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