Harden H3 detail pass conditioning

dumas_h3_longvideos.py

@@ -4031,6 +4031,21 @@ def _copy_sample_latent(out_latent):
         return None
 
 
+def _latent_with_replaced_samples(template_latent, sampled_latent):
+    """Reuse the original latent payload, but swap in freshly sampled tensors."""
+    if not isinstance(template_latent, dict):
+        return sampled_latent
+    out = dict(template_latent)
+    if isinstance(sampled_latent, dict):
+        for key, value in sampled_latent.items():
+            if key != "samples" and key not in out:
+                out[key] = value
+        if "samples" in sampled_latent:
+            out["samples"] = sampled_latent["samples"]
+            return out
+    return sampled_latent
+
+
 def _video_only_refined_latent(base_latent, refined_latent):
     """Keep the refined video latent, but preserve the original audio latent."""
     base = base_latent.get("samples") if isinstance(base_latent, dict) else None
@@ -4047,6 +4062,16 @@ def _video_only_refined_latent(base_latent, refined_latent):
     except Exception:
         return refined_latent
     return refined_latent
+
+
+def _coerce_bool_flag(value):
+    if isinstance(value, str):
+        text = value.strip().lower()
+        if text in ("", "0", "false", "no", "off", "none", "null"):
+            return False
+        if text in ("1", "true", "yes", "on"):
+            return True
+    return bool(value)
 
 
 # --- ref2va reference conditioning ----------------------------------------
@@ -6148,7 +6173,7 @@ class H3LongVideos:
                                "building a separate graph."}),
                 "detail_sampler_name": (comfy.samplers.KSampler.SAMPLERS, {"default": "euler",
                     "tooltip": "Sampler used for the optional refinement pass."}),
-                "detail_scheduler": (comfy.samplers.KSampler.SCHEDULERS, {"default": "karras",
+                "detail_scheduler": (comfy.samplers.KSampler.SCHEDULERS, {"default": "beta",
                     "tooltip": "Scheduler used for the optional refinement pass."}),
                 "detail_steps": ("INT", {"default": 8, "min": 1, "max": 200,
                     "tooltip": "Steps for the optional refinement pass."}),
@@ -6178,7 +6203,7 @@ class H3LongVideos:
     def _render(self, model, clip, vae, audio_vae, negative, prompt, w, h, ln, fps, tiled, sa,
                 handoff, decode_tile_frames=0, decode_tile_size=0,
                 refs=None, ref_image_size="match", ref_noise_aug=None, silent=False,
-                detail_pass=False, detail_sampler_name="euler", detail_scheduler="karras",
+                detail_pass=False, detail_sampler_name="euler", detail_scheduler="beta",
                 detail_steps=8, detail_denoise=0.4):
         positive, latent = _build_shot_conditioning(clip, vae, prompt, w, h, ln, fps, handoff,
                                                     ref_images=refs, ref_image_size=ref_image_size,
@@ -6200,11 +6225,13 @@ class H3LongVideos:
                 e._h3_stage = "sampling"
             raise
         refined_out = out
+        detail_pass = _coerce_bool_flag(detail_pass)
         if detail_pass:
+            detail_latent = _latent_with_replaced_samples(latent, out)
             try:
                 (refined_out,) = nodes.common_ksampler(
                     model, seed, int(detail_steps), cfg, detail_sampler_name, detail_scheduler,
-                    positive, negative, out, denoise=float(detail_denoise))
+                    positive, negative, detail_latent, denoise=float(detail_denoise))
             except Exception as e:
                 if _is_oom(e):
                     e._h3_stage = "sampling"
@@ -6254,7 +6281,7 @@ class H3LongVideos:
             ref_image_5=None, ref_image_6=None, ref_image_7=None, ref_image_8=None,
             ref_image_9=None,
             ref_mode="auto ref2v", ref_image_size="match", ref_noise_aug=0.95,
-            detail_pass=False, detail_sampler_name="euler", detail_scheduler="karras",
+            detail_pass=False, detail_sampler_name="euler", detail_scheduler="beta",
             detail_steps=8, detail_denoise=0.4,
             graph=None, node_id=None):