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lance/manifest.json

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+{
+  "example": "lance",
+  "description": "Lance unified multimodal inference \u2014 canonical demo artifacts",
+  "files": {
+    "sample_input.png": "Canonical input image for VQA and image-edit demos. Generated by Lance t2i mode with prompt \"A golden retriever sitting in a sunlit meadow with wildflowers\" (30 steps, 768x768). Byte-identical to t2i_output.png.",
+    "t2i_output.png": "Text-to-image demo output. Same file as sample_input.png \u2014 the T2I result is reused as canonical input for VQA and editing tasks.",
+    "edit_output.png": "Image-edit demo output. Edit instruction: \"Add a red collar to the dog\". Input: sample_input.png. 30 steps, 768x768.",
+    "vqa_result.json": "Image-understanding (VQA) result. Question: \"What animal is in this image?\". Answer: \"Dog\". Input: sample_input.png."
+  },
+  "model": "bytedance-research/Lance",
+  "model_revision": "7395315758865e6f56ab87ad06a88c7ac172f056",
+  "verified_date": "2026-07-12"
+}