Co-authored-by: zty624 <164896039+zty624@users.noreply.github.com> Co-authored-by: yhzx233 <16619108+yhzx233@users.noreply.github.com> Co-authored-by: Monalissaa <50078799+Monalissaa@users.noreply.github.com>
28 lines
1.5 KiB
JSON
28 lines
1.5 KiB
JSON
{
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"schema_version": 2,
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"model_repo": "OpenMOSS-Team/MOSS-Image-Base",
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"model": "MOSS-Image-Base",
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"parameters": {
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"prompt": "A candid classroom photograph, slightly off-center, with a worn dark green chalkboard filling most of the frame. Uneven window light, soft shadows, chalk dust, eraser streaks, subtle camera grain. Visible board frame and chalk tray, a blurred desk corner in the foreground. Natural, slightly irregular white chalk handwriting—not polished typography or a flat blackboard graphic. Keep all text sharp, fully visible, and free of glare.\n\nThe chalkboard reads exactly:\n\n\"MOSS-Transcribe-Diarize is our flagship SOTA model family\nfor turning real-world long-form audio into structured,\nspeaker- aware transcripts in one pass. Instead of stitching\ntogether separate ASR and diarization systems, these\nmodels jointly perform speech transcription and speaker\ndiarization, producing time-aligned text with precise\ntimestamps and consistent speaker labels such as [S01], [S02], and beyond.\"",
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"negative_prompt": "worst quality, bad anatomy, ugly face",
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"height": 768,
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"width": 1360,
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"steps": 50,
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"cfg": 3,
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"shift": 6,
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"num_images": 1,
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"seed": 2051794908,
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"uncond_skip_layers": "",
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"slg_layers": "",
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"slg_scale": 0,
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"slg_start": 0,
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"slg_stop": 1,
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"max_sequence_length": 4096,
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"offload": "none",
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"compile_transformer": false
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},
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"sampler": "Euler",
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"recovered_from": "Running Space gallery and example selection",
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"image": "image.png"
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}
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