{"schema_version":"onlylabs.public_signal.v1","title":"InclusionAI (Ant Group) Model: inclusionAI/LLaDA-Image","description":"InclusionAI (Ant Group) model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/2017b2a2-7dc2-4b0d-81d1-d3acfb974d2e","json_url":"https://onlylabs.fyi/signals/2017b2a2-7dc2-4b0d-81d1-d3acfb974d2e/signal.json","generated_at":"2026-09-09T21:05:57.384Z","evidence_latest_fetched_at":"2026-09-04T07:21:15.96855+00:00","signal_first_seen_at":"2026-09-04T07:21:02.720387+00:00","org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/inclusionai","dossier_json_url":"https://onlylabs.fyi/labs/inclusionai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/2017b2a2-7dc2-4b0d-81d1-d3acfb974d2e","signal_json":"https://onlylabs.fyi/signals/2017b2a2-7dc2-4b0d-81d1-d3acfb974d2e/signal.json","source":"https://huggingface.co/inclusionAI/LLaDA-Image","lab_dossier":"https://onlylabs.fyi/labs/inclusionai","lab_dossier_json":"https://onlylabs.fyi/labs/inclusionai/dossier.json","analysis":"https://onlylabs.fyi/analysis/inclusionai","analysis_json":"https://onlylabs.fyi/analysis/inclusionai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/inclusionai/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"InclusionAI (Ant Group) published inclusionAI/LLaDA-Image. 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Photorealistic image generation with natural lighting, lifelike details, and coherent scenes. High-quality text rendering and creative poster generation across diverse visual styles. Instruction-guided image editing with faithful content preservation and precise visual changes. Introduction LLaDA-Image is a competitive 6B-parameter open-source unified image generation and editing model family. It includes **LLaDA-Image**, a 50-step Base model for high-quality text-to-image generation and instruction-guided editing, and **LLaDA-Image-Turbo**, a 4-step distilled model for fast generation and editing. Both variants support practical text-to-image generation, VQ-conditioned generation, reference-image editing, and Chinese--English text rendering. This repository provides the checkpoints and Diffusers-based inference code for the LLaDA-Image model family. News - **2026-09-04:** We released the LLaDA-Image Base and Turbo checkpoints together with the inference code. 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