#25 Support Efficiency LoRA Stacker

py/defs/ext/efficiency_nodes.py

@@ -1,6 +1,41 @@
 # https://github.com/jags111/efficiency-nodes-comfyui
 from ..meta import MetaField
-from ..formatters import calc_model_hash, convert_skip_clip
+from ..formatters import calc_model_hash, calc_lora_hash, convert_skip_clip
+
+
+def get_lora_model_name_stack(node_id, obj, prompt, extra_data, outputs, input_data):
+    return get_lora_data_stack(input_data, "lora_name")
+
+
+def get_lora_model_hash_stack(node_id, obj, prompt, extra_data, outputs, input_data):
+    return [
+        calc_lora_hash(model_name, input_data)
+        for model_name in get_lora_data_stack(input_data, "lora_name")
+    ]
+
+
+def get_lora_strength_model_stack(
+    node_id, obj, prompt, extra_data, outputs, input_data
+):
+    if input_data["input_mode"][0] == "advanced":
+        return get_lora_data_stack(input_data, "model_str")
+    return get_lora_data_stack(input_data, "lora_wt")
+
+
+def get_lora_strength_clip_stack(node_id, obj, prompt, extra_data, outputs, input_data):
+    if input_data["input_mode"][0] == "advanced":
+        return get_lora_data_stack(input_data, "clip_str")
+    return get_lora_data_stack(input_data, "lora_wt")
+
+
+def get_lora_data_stack(input_data, attribute):
+    lora_count = input_data["lora_count"][0]
+    return [
+        v[0]
+        for k, v in input_data.items()
+        if k.startswith(attribute) and v[0] != "None"
+    ][:lora_count]
+
 
 SAMPLERS = {
     "KSampler (Efficient)": {
@@ -63,4 +98,10 @@ CAPTURE_FIELD_LIST = {
         MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
         MetaField.SCHEDULER: {"field_name": "scheduler"},
     },
+    "LoRA Stacker": {
+        MetaField.LORA_MODEL_NAME: {"selector": get_lora_model_name_stack},
+        MetaField.LORA_MODEL_HASH: {"selector": get_lora_model_hash_stack},
+        MetaField.LORA_STRENGTH_MODEL: {"selector": get_lora_strength_model_stack},
+        MetaField.LORA_STRENGTH_CLIP: {"selector": get_lora_strength_clip_stack},
+    },
 }