Ethanfel
53f1f9b9b4
The 4B's 0-1 scores were unreliable (identical ref/gen scored ~0.6), so the judge now returns verdict match/partial/mismatch per axis; overall_score and a new mismatch_count are computed from verdicts on our side (reliable, monotonic). Expanded the action/pose cluster into position_name, body_orientation, limb_arrangement, penetration, contact_points, genital_visibility (+ breast_size) so explicit poses carry detail. Each axis now ships a one-line definition in the prompt so gender_mix/subject_count stop absorbing positional text. 24 axes total. Example workflows use the node default (axes=''). Docs realigned; stop condition is now mismatch_count==0. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
27 lines
727 B
JSON
27 lines
727 B
JSON
{
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"11": {
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"class_type": "LoadImage",
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"inputs": { "image": "reference.png" },
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"_meta": { "title": "Reference Image (put in ComfyUI/input/)" }
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},
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"12": {
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"class_type": "QwenVLImageJudge",
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"inputs": {
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"reference_image": ["11", 0],
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"mode": "describe",
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"model_path": "/media/p5/qwen3vl_4b_abliterated_comfy_convert/hf_bf16",
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"precision": "bf16",
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"axes": "",
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"max_new_tokens": 1024,
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"temperature": 0.0,
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"swap_eval": false,
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"keep_loaded": true,
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"auto_download": true,
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"report_dir": "/media/p5/Comfyui/output/calibrator",
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"run_tag": "seed",
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"prompt_used": ""
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},
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"_meta": { "title": "Qwen3-VL Describe (first pass)" }
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}
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}
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