Trim dead inputs: drop fp16 precision and prompt_used
fp16 offers nothing over bf16 for these models (removed from the quant dropdown; loader still tolerant if passed). prompt_used was metadata-only — removed from the node inputs, report payload/markdown, the bridge, and the example workflows. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@@ -35,7 +35,7 @@ can act on it.
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| `profile` | general / oral / penetration / handjob / solo | general | **analysis profile** — act-specialized axis set; the act-critical axes are distance/proximity-aware (e.g. `mouth_genital_distance`) so magnitude isn't hidden behind a coarse label |
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| `generated_image` | IMAGE (optional) | — | the candidate to score (required for `compare`, ignored for `describe`) |
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| `model_select` | dropdown (model name) | 4B local | **which judge** (transformers/safetensors, auto-downloaded): Qwen3-VL 4B/8B/30B-A3B, **Qwen3.5-9B**, **Qwen3.6-27B/35B-A3B** (newer, natively multimodal). Param size shown in the label |
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| `precision` | bf16 / fp16 / fp8 / nf4 | bf16 | **the quant** — applies to the selected model (VRAM table below) |
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| `precision` | bf16 / fp8 / nf4 | bf16 | **the quant** — applies to the selected model (VRAM table below) |
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| `model_path` | STRING | "" (empty) | **manual override** of the dropdown — local dir, HF repo id, or alias (`8b`/`30b-a3b`/`3.5-9b`/`3.6-27b`/`3.6-35b`). Empty = use `model_select` |
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| `axes` | STRING | "" (empty) | **override** the profile's axis set with a custom comma/newline list; empty = use `profile` |
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| `max_new_tokens` | INT | 1024 | |
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@@ -67,7 +67,6 @@ def _inject(graph: dict, prompt: str, negative: str, seed: int, run_tag: str, mo
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elif ctype == JUDGE_CLASS:
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inputs["mode"] = mode
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inputs["run_tag"] = run_tag
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inputs["prompt_used"] = prompt
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if reference_description:
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inputs["reference_description"] = reference_description
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if profile:
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@@ -64,7 +64,6 @@ Stdout (captured by the agent) is the report:
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"body_orientation": {"verdict": "mismatch", "ref": "female on top, facing partner", "gen": "female on bottom"},
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"clothing_state": {"verdict": "partial", "ref": "red lace lingerie", "gen": "plain bra"}
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},
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"prompt_used": "...",
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"_prompt_id": "…", "_report_path": "…/calib_iter003.json"
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}
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```
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@@ -163,7 +163,7 @@ iter6 overall=0.93 mism=0 ≥ target → STOP
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"body_orientation": {"verdict": "mismatch", "ref": "female on top, facing partner", "gen": "female on bottom"},
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"scene": {"verdict": "match", "ref": "dim bedroom", "gen": "dim bedroom"}
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},
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"prompt_used": "...", "_prompt_id": "...", "_report_path": "..."
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"_prompt_id": "...", "_report_path": "..."
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}
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```
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+4
-7
@@ -619,7 +619,7 @@ def _report_base_dir(report_dir: str) -> str:
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return os.path.join(os.path.dirname(os.path.dirname(__file__)), "output", "calibrator")
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def _write_report(report_dir, run_tag, overall, merged, diff_analysis, raw_all, prompt_used,
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def _write_report(report_dir, run_tag, overall, merged, diff_analysis, raw_all,
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mismatch_count=0):
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"""Persist the analysis so the external CLI agent can read it after a queue.
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@@ -638,7 +638,6 @@ def _write_report(report_dir, run_tag, overall, merged, diff_analysis, raw_all,
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"mismatch_count": mismatch_count,
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"axes": (merged or {}).get("axes", {}),
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"diff_analysis": diff_analysis,
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"prompt_used": prompt_used,
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"raw": raw_all,
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}
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tag = re.sub(r"[^A-Za-z0-9._-]", "_", run_tag) if run_tag else "latest"
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@@ -653,7 +652,6 @@ def _write_report(report_dir, run_tag, overall, merged, diff_analysis, raw_all,
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try:
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md = (f"# Calibration analysis ({tag})\n\n"
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f"**overall_score:** {payload['overall_score']}\n\n"
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f"**prompt_used:**\n\n{prompt_used or '(not provided)'}\n\n"
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f"## per-axis\n\n{diff_analysis}\n")
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with open(os.path.join(base, f"calib_{tag}.md"), "w", encoding="utf-8") as f:
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f.write(md)
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@@ -746,7 +744,7 @@ class QwenVLImageJudge:
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"model_select": ([MANUAL_CHOICE] + list(MODEL_PRESETS.keys()),
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{"default": list(MODEL_PRESETS.keys())[0]}),
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"model_path": ("STRING", {"default": ""}), # manual override (local dir / HF repo / alias)
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"precision": (["bf16", "fp16", "fp8", "nf4"], {"default": "bf16"}),
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"precision": (["bf16", "fp8", "nf4"], {"default": "bf16"}),
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"axes": ("STRING", {"default": "", "multiline": True}),
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"max_new_tokens": ("INT", {"default": 1024, "min": 64, "max": 4096}),
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"temperature": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.5, "step": 0.05}),
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@@ -759,7 +757,6 @@ class QwenVLImageJudge:
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# The agent reads the analysis from these files after each queue.
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"report_dir": ("STRING", {"default": ""}),
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"run_tag": ("STRING", {"default": ""}),
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"prompt_used": ("STRING", {"default": "", "multiline": True}),
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# compare: canonical reference text (from describe). When set, compare
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# anchors on it instead of re-reading the reference image each time.
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"reference_description": ("STRING", {"default": "", "multiline": True}),
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@@ -773,7 +770,7 @@ class QwenVLImageJudge:
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max_new_tokens, temperature, swap_eval, profile="general",
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model_select=MANUAL_CHOICE, generated_image=None,
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keep_loaded=True, auto_download=True,
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report_dir="", run_tag="", prompt_used="", reference_description="",
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report_dir="", run_tag="", reference_description="",
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system_prompt="", user_prompt="Describe this image."):
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# `axes` overrides the profile when provided; otherwise use the profile's axis set.
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axis_list = [a.strip() for a in re.split(r"[,\n]", axes) if a.strip()]
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@@ -866,7 +863,7 @@ class QwenVLImageJudge:
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diff_analysis = header + "\n" + "\n".join(diff_lines) if diff_lines else "(no parseable judgement)"
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report_path = _write_report(
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report_dir, run_tag, overall, merged, diff_analysis, raw_all, prompt_used, mismatch_count)
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report_dir, run_tag, overall, merged, diff_analysis, raw_all, mismatch_count)
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return (round(overall, 4), axis_scores, diff_analysis, raw_all, report_path)
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@@ -76,7 +76,6 @@
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"auto_download": true,
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"report_dir": "/media/p5/Comfyui/output/calibrator",
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"run_tag": "",
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"prompt_used": "",
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"reference_description": ""
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},
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"_meta": { "title": "Qwen3-VL Image Judge (Calibrator)" }
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@@ -19,8 +19,7 @@
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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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"run_tag": "seed"
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},
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"_meta": { "title": "Qwen3-VL Describe (first pass)" }
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}
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