From a1abfb981473237eebb8891e42f4aec0d92de57f Mon Sep 17 00:00:00 2001
From: IAMCCS <info@carminecristalloscalzi.com>
Date: Sun, 12 Oct 2025 19:15:49 +0200
Subject: [PATCH] B Initial commit: WANAnimate LoRA Loader Fix

---
 __init__.py                                   |  15 ++
 __pycache__/__init__.cpython-312.pyc          | Bin 0 -> 415 bytes
 .../iamccs_wan_lora_stack.cpython-312.pyc     | Bin 0 -> 5337 bytes
 iamccs_wan_lora_stack.py                      | 131 ++++++++++++++++++
 icon.png                                      | Bin 0 -> 11256 bytes
 pyproject.toml                                |  14 ++
 version.json                                  |   6 +
 7 files changed, 166 insertions(+)
 create mode 100644 __init__.py
 create mode 100644 __pycache__/__init__.cpython-312.pyc
 create mode 100644 __pycache__/iamccs_wan_lora_stack.cpython-312.pyc
 create mode 100644 iamccs_wan_lora_stack.py
 create mode 100644 icon.png
 create mode 100644 pyproject.toml
 create mode 100644 version.json

diff --git a/__init__.py b/__init__.py
new file mode 100644
index 0000000..d46cd5e
--- /dev/null
+++ b/__init__.py
@@ -0,0 +1,15 @@
+# __init__.py — Registro nodi IAMCCS (solo nuovi nodi LoRA)
+from .iamccs_wan_lora_stack import (
+    IAMCCS_WanLoRAStack,
+    IAMCCS_ModelWithLoRA
+)
+
+NODE_CLASS_MAPPINGS = {
+    "IAMCCS_WanLoRAStack": IAMCCS_WanLoRAStack,
+    "IAMCCS_ModelWithLoRA": IAMCCS_ModelWithLoRA,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "IAMCCS_WanLoRAStack": "LoRA Stack (WAN-style remap)",
+    "IAMCCS_ModelWithLoRA": "Apply LoRA to MODEL (Native)",
+}
diff --git a/__pycache__/__init__.cpython-312.pyc b/__pycache__/__init__.cpython-312.pyc
new file mode 100644
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diff --git a/__pycache__/iamccs_wan_lora_stack.cpython-312.pyc b/__pycache__/iamccs_wan_lora_stack.cpython-312.pyc
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diff --git a/iamccs_wan_lora_stack.py b/iamccs_wan_lora_stack.py
new file mode 100644
index 0000000..79b0508
--- /dev/null
+++ b/iamccs_wan_lora_stack.py
@@ -0,0 +1,131 @@
+# iamccs_wan_lora_stack.py
+# ===============================================================
+# IAMCCS_WanLoRAStack / IAMCCS_ModelWithLoRA
+# Versione multi-LoRA (4 slots con strength dedicato)
+# ===============================================================
+
+import logging
+import comfy.utils
+import comfy.sd
+import folder_paths
+
+
+# --- Normalizzatore chiavi WAN (stesso del precedente) ---
+def standardize_wan_lora_keys(sd: dict) -> dict:
+    new_sd = {}
+    for k, v in sd.items():
+        nk = k
+        if nk.startswith("transformer."):
+            nk = nk.replace("transformer.", "diffusion_model.")
+        if nk.startswith("pipe.dit."):
+            nk = nk.replace("pipe.dit.", "diffusion_model.")
+        if nk.startswith("blocks."):
+            nk = nk.replace("blocks.", "diffusion_model.blocks.")
+        if ".attn1." in nk or ".attn2." in nk:
+            tgt = ".cross_attn." if ".attn2." in nk else ".self_attn."
+            nk = nk.replace(".attn1.", tgt).replace(".attn2.", tgt)
+            nk = nk.replace(".to_k.", ".k.").replace(".to_q.", ".q.")
+            nk = nk.replace(".to_v.", ".v.").replace(".to_out.0.", ".o.")
+        if nk.startswith("lora_unet__"):
+            core, *rest = nk.split(".")
+            core = core.replace("lora_unet__", "diffusion_model.")
+            core = core.replace("_self_attn", ".self_attn").replace("_cross_attn", ".cross_attn").replace("blocks_", "blocks.")
+            nk = ".".join([core] + rest)
+        nk = nk.replace("img_attn.proj", "img_attn_proj")
+        nk = nk.replace("img_attn.qkv", "img_attn_qkv")
+        nk = nk.replace("txt_attn.proj", "txt_attn_proj")
+        nk = nk.replace("txt_attn.qkv", "txt_attn_qkv")
+        new_sd[nk] = v
+    return new_sd
+
+
+# ===============================================================
+# Nodo 1 — LoRA Stack (fino a 4 LoRA con strength)
+# ===============================================================
+class IAMCCS_WanLoRAStack:
+    @classmethod
+    def INPUT_TYPES(cls):
+        lora_list = folder_paths.get_filename_list("loras")
+        return {
+            "required": {
+                "lora1": (lora_list,),
+                "strength1": ("FLOAT", {"default": 1.0, "min": -5.0, "max": 5.0, "step": 0.01}),
+                "lora2": (lora_list,),
+                "strength2": ("FLOAT", {"default": 0.0, "min": -5.0, "max": 5.0, "step": 0.01}),
+                "lora3": (lora_list,),
+                "strength3": ("FLOAT", {"default": 0.0, "min": -5.0, "max": 5.0, "step": 0.01}),
+                "lora4": (lora_list,),
+                "strength4": ("FLOAT", {"default": 0.0, "min": -5.0, "max": 5.0, "step": 0.01}),
+                "model_type": (["wan2x", "flow", "standard"], {"default": "flow"}),
+            }
+        }
+
+    RETURN_TYPES = ("LORA",)
+    FUNCTION = "load_and_standardize"
+    CATEGORY = "IAMCCS/LoRA"
+
+    def load_and_standardize(self, lora1, strength1,
+                             lora2, strength2,
+                             lora3, strength3,
+                             lora4, strength4,
+                             model_type="flow"):
+
+        loras = []
+        for name, strength in [
+            (lora1, strength1),
+            (lora2, strength2),
+            (lora3, strength3),
+            (lora4, strength4),
+        ]:
+            if name and strength != 0.0:
+                path = folder_paths.get_full_path_or_raise("loras", name)
+                sd = comfy.utils.load_torch_file(path, safe_load=True)
+                if model_type != "standard":
+                    sd = standardize_wan_lora_keys(sd)
+                loras.append({"name": name, "strength": strength, "state_dict": sd})
+
+        logging.info(f"[IAMCCS_WanLoRAStack] ✅ Caricate {len(loras)} LoRA")
+        return (loras,)
+
+
+# ===============================================================
+# Nodo 2 — Apply LoRA to MODEL (ponte, senza strength)
+# ===============================================================
+class IAMCCS_ModelWithLoRA:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "model": ("MODEL",),
+                "lora": ("LORA",),
+            }
+        }
+
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "apply"
+    CATEGORY = "IAMCCS/LoRA"
+
+    def apply(self, model, lora):
+        if not lora:
+            return (model,)
+        model_out = model
+        for entry in lora:
+            sd = entry["state_dict"]
+            strength = entry["strength"]
+            model_out, _ = comfy.sd.load_lora_for_models(model_out, None, sd, strength, 0)
+            logging.info(f"[IAMCCS_ModelWithLoRA] ✅ '{entry['name']}' strength={strength}")
+        return (model_out,)
+
+
+# ===============================================================
+# Registrazione
+# ===============================================================
+NODE_CLASS_MAPPINGS = {
+    "IAMCCS_WanLoRAStack": IAMCCS_WanLoRAStack,
+    "IAMCCS_ModelWithLoRA": IAMCCS_ModelWithLoRA,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "IAMCCS_WanLoRAStack": "LoRA Stack (WAN-style remap)",
+    "IAMCCS_ModelWithLoRA": "Apply LoRA to MODEL (Native)",
+}
diff --git a/icon.png b/icon.png
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diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..2e14f76
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,14 @@
+[project]
+name = "iamccs-wan-lora-fixer-stack"
+version = "1.1.0"
+description = "Nodo IAMCCS per ComfyUI che applica fino a 5 LoRA (WAN 2.1 / 2.2 compatibili) con fix automatico e input/output MODEL."
+license = { text = "MIT" }
+authors = [
+  { name = "Carmine Cristallo Scalzi (IAMCCS)", email = "info@carminecristalloscalzi.com" }
+]
+
+[tool.comfy]
+publisher_id = "iamccs"
+display_name = "IAMCCS WAN LoRA Fixer Stack"
+icon = "icon.png"
+requires_comfyui = ">=3.0.0"
diff --git a/version.json b/version.json
new file mode 100644
index 0000000..5ecb857
--- /dev/null
+++ b/version.json
@@ -0,0 +1,6 @@
+{
+  "name": "iamccs-wan-lora-fixer-stack",
+  "version": "1.1.0",
+  "author": "Carmine Cristallo Scalzi (IAMCCS)",
+  "description": "Nodo IAMCCS per ComfyUI che applica fino a 5 LoRA in stack, compatibile con WAN 2.1 e 2.2 (Flow)."
+}