Judge: add seed (reproducible output) + interrupt support

New 'seed' input seeds sampling (torch.manual_seed before generation) so a fixed seed
reproduces the same output — no reroll when re-queueing while tweaking downstream nodes;
bump it to reroll (named 'seed' so the frontend adds control_after_generate). Generation
now honors ComfyUI cancel: a StoppingCriteria halts model.generate() promptly and
_check_interrupt() raises between passes. Workflows updated with the seed widget.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

nodes/qwen_judge.py

@@ -453,8 +453,33 @@ def _apply_template(processor, messages, think=True):
         return _format_chatml_qwenvl(messages)
 
 
+def _check_interrupt():
+    """Raise if the user hit ComfyUI's cancel — aborts the node between passes."""
+    try:
+        import comfy.model_management as mm
+        mm.throw_exception_if_processing_interrupted()
+    except ImportError:
+        pass
+
+
+def _interrupt_stopping():
+    """StoppingCriteria that halts generate() promptly when ComfyUI is interrupted."""
+    try:
+        import comfy.model_management as mm
+        from transformers import StoppingCriteria, StoppingCriteriaList
+
+        class _Interrupt(StoppingCriteria):
+            def __call__(self, input_ids, scores, **kw):
+                return mm.processing_interrupted()
+
+        return StoppingCriteriaList([_Interrupt()])
+    except Exception:
+        return None
+
+
 def _generate_from_messages(model, processor, messages, images, max_new_tokens, temperature, think=True):
     """Template + forward pass for a chat-message list; returns the decoded string."""
+    _check_interrupt()
     text = _apply_template(processor, messages, think)
     inputs = processor(text=[text], images=images, return_tensors="pt")
     inputs = inputs.to(model.device)
@@ -464,6 +489,9 @@ def _generate_from_messages(model, processor, messages, images, max_new_tokens,
         gen_kwargs.update(do_sample=True, temperature=float(temperature))
     else:
         gen_kwargs.update(do_sample=False)
+    sc = _interrupt_stopping()
+    if sc is not None:
+        gen_kwargs["stopping_criteria"] = sc
 
     with torch.inference_mode():
         out = model.generate(**inputs, **gen_kwargs)
@@ -821,6 +849,9 @@ class QwenVLImageJudge:
                 "precision": (["bf16", "fp8", "nf4"], {"default": "bf16"}),
                 "max_new_tokens": ("INT", {"default": 3072, "min": 64, "max": 8192}),
                 "temperature": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.5, "step": 0.05}),
+                # Seeds sampling so a fixed seed reproduces the same output (no reroll when
+                # you re-queue while tweaking downstream nodes). Bump it to reroll.
+                "seed": ("INT", {"default": 0, "min": 0, "max": 0xFFFFFFFFFFFFFFFF}),
                 "swap_eval": ("BOOLEAN", {"default": True}),
                 # Reasoning models (Qwen3.5/3.6) judge verdicts FAR better with thinking on
                 # (off -> they rubber-stamp 'match'). Costs more tokens; raise max_new_tokens.
@@ -849,7 +880,7 @@ class QwenVLImageJudge:
         }
 
     def judge(self, reference_image, mode, model_path, precision,
-              max_new_tokens, temperature, swap_eval, profile="general",
+              max_new_tokens, temperature, swap_eval, seed=0, profile="general",
               enable_thinking=True, json_output=False, model_select=MANUAL_CHOICE,
               generated_image=None, keep_loaded=True, auto_download=True,
               report_dir="", run_tag="", axes="", reference_description="",
@@ -888,6 +919,12 @@ class QwenVLImageJudge:
         ref_pil = _tensor_to_pil(reference_image)
         model, processor = _load_model(resolved_path, eff_precision)
 
+        # Seed sampling so a fixed seed reproduces the same output; check for cancel.
+        torch.manual_seed(int(seed))
+        if torch.cuda.is_available():
+            torch.cuda.manual_seed_all(int(seed))
+        _check_interrupt()
+
         if mode == "chat":
             gen_pil = _tensor_to_pil(generated_image) if generated_image is not None else None
             return self._chat(model, processor, ref_pil, gen_pil, system_prompt, user_prompt,

workflow/workflow_api.json

@@ -1,8 +1,12 @@
 {
   "4": {
     "class_type": "CheckpointLoaderSimple",
-    "inputs": { "ckpt_name": "waiIllustriousSDXL_v160.safetensors" },
-    "_meta": { "title": "Load Checkpoint (swap for your T2I)" }
+    "inputs": {
+      "ckpt_name": "waiIllustriousSDXL_v160.safetensors"
+    },
+    "_meta": {
+      "title": "Load Checkpoint (swap for your T2I)"
+    }
   },
   "10": {
     "class_type": "CalibratorPromptReceptor",
@@ -12,59 +16,135 @@
       "seed": 12345,
       "source_file": ""
     },
-    "_meta": { "title": "SxCP External Prompt (Receptor)" }
+    "_meta": {
+      "title": "SxCP External Prompt (Receptor)"
+    }
   },
   "6": {
     "class_type": "CLIPTextEncode",
-    "inputs": { "text": ["10", 0], "clip": ["4", 1] },
-    "_meta": { "title": "Positive (from receptor)" }
+    "inputs": {
+      "text": [
+        "10",
+        0
+      ],
+      "clip": [
+        "4",
+        1
+      ]
+    },
+    "_meta": {
+      "title": "Positive (from receptor)"
+    }
   },
   "7": {
     "class_type": "CLIPTextEncode",
-    "inputs": { "text": ["10", 1], "clip": ["4", 1] },
-    "_meta": { "title": "Negative (from receptor)" }
+    "inputs": {
+      "text": [
+        "10",
+        1
+      ],
+      "clip": [
+        "4",
+        1
+      ]
+    },
+    "_meta": {
+      "title": "Negative (from receptor)"
+    }
   },
   "5": {
     "class_type": "EmptyLatentImage",
-    "inputs": { "width": 1024, "height": 1024, "batch_size": 1 },
-    "_meta": { "title": "Empty Latent" }
+    "inputs": {
+      "width": 1024,
+      "height": 1024,
+      "batch_size": 1
+    },
+    "_meta": {
+      "title": "Empty Latent"
+    }
   },
   "3": {
     "class_type": "KSampler",
     "inputs": {
-      "model": ["4", 0],
-      "positive": ["6", 0],
-      "negative": ["7", 0],
-      "latent_image": ["5", 0],
-      "seed": ["10", 2],
+      "model": [
+        "4",
+        0
+      ],
+      "positive": [
+        "6",
+        0
+      ],
+      "negative": [
+        "7",
+        0
+      ],
+      "latent_image": [
+        "5",
+        0
+      ],
+      "seed": [
+        "10",
+        2
+      ],
       "steps": 28,
       "cfg": 5.5,
       "sampler_name": "euler",
       "scheduler": "normal",
       "denoise": 1.0
     },
-    "_meta": { "title": "KSampler (seed from receptor)" }
+    "_meta": {
+      "title": "KSampler (seed from receptor)"
+    }
   },
   "8": {
     "class_type": "VAEDecode",
-    "inputs": { "samples": ["3", 0], "vae": ["4", 2] },
-    "_meta": { "title": "VAE Decode" }
+    "inputs": {
+      "samples": [
+        "3",
+        0
+      ],
+      "vae": [
+        "4",
+        2
+      ]
+    },
+    "_meta": {
+      "title": "VAE Decode"
+    }
   },
   "9": {
     "class_type": "SaveImage",
-    "inputs": { "images": ["8", 0], "filename_prefix": "calibrator/gen" },
-    "_meta": { "title": "Save Generated" }
+    "inputs": {
+      "images": [
+        "8",
+        0
+      ],
+      "filename_prefix": "calibrator/gen"
+    },
+    "_meta": {
+      "title": "Save Generated"
+    }
   },
   "11": {
     "class_type": "LoadImage",
-    "inputs": { "image": "reference.png" },
-    "_meta": { "title": "Reference Image (put in ComfyUI/input/)" }
+    "inputs": {
+      "image": "reference.png"
+    },
+    "_meta": {
+      "title": "Reference Image (put in ComfyUI/input/)"
+    }
   },
   "12": {
     "class_type": "QwenVLImageJudge",
     "inputs": {
-      "reference_image": ["11", 0],
-      "generated_image": ["8", 0],
+      "reference_image": [
+        "11",
+        0
+      ],
+      "generated_image": [
+        "8",
+        0
+      ],
       "model_path": "/media/p5/qwen3vl_4b_abliterated_comfy_convert/hf_bf16",
       "precision": "bf16",
       "profile": "general",
@@ -74,8 +154,11 @@
       "keep_loaded": true,
       "auto_download": true,
       "report_dir": "/media/p5/Comfyui/output/calibrator",
-      "run_tag": ""
+      "run_tag": "",
+      "seed": 0
     },
-    "_meta": { "title": "Qwen3-VL Image Judge (Calibrator)" }
+    "_meta": {
+      "title": "Qwen3-VL Image Judge (Calibrator)"
+    }
   }
-}
+}

workflow/workflow_ltx_audio.json

@@ -208,6 +208,8 @@
         "bf16",
         3072,
         0.4,
+        0,
+        "fixed",
         false,
         false,
         true,

workflow/workflow_ltx_audio_api.json

@@ -63,7 +63,8 @@
       "user_prompt": [
         "2",
         1
-      ]
+      ],
+      "seed": 0
     },
     "_meta": {
       "title": "Judge (chat + json_output) -> LTX beats JSON"