Initial commit: WANAnimate LoRA Loader Fix
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IAMCCS
2025-10-12 19:19:26 +02:00
parent 6b40afc7df
commit a1abfb9814
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# __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)",
}
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# 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)",
}
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[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"
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{
"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)."
}