add files

2026-01-26 15:43:29 +09:00
parent 8bd45f8363
commit 911c313350
10 changed files with 542 additions and 0 deletions
@@ -0,0 +1,78 @@
+
+import folder_paths
+import comfy.sd
+import comfy.utils
+from pathlib import Path
+
+class SLPLoraLoader:
+    
+    NAME = "HetimaSLPLoraLoader"
+    DISPLAY_NAME = "SLP Lora Loader"
+    CATEGORY = "SingleLinePicker"
+    
+    def __init__(self):
+        self.loaded_lora = None
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "model": ("MODEL", {"tooltip": "The diffusion model the LoRA will be applied to."}),
+                "clip": ("CLIP", {"tooltip": "The CLIP model the LoRA will be applied to."}),
+                "lora_name_text": ("STRING", {"tooltip": "The name of the LoRA."}),
+                "strength_model": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01, "tooltip": "How strongly to modify the diffusion model. This value can be negative."}),
+                "strength_clip": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01, "tooltip": "How strongly to modify the CLIP model. This value can be negative."}),
+            }
+        }
+
+    RETURN_TYPES = ("MODEL", "CLIP", "STRING")
+    RETURN_NAMES = ("MODEL", "CLIP", "stem")
+    OUTPUT_TOOLTIPS = ("The modified diffusion model.", "The modified CLIP model.", "The stem of lora file")
+    FUNCTION = "load_lora"
+
+    DESCRIPTION = "LoRAs are used to modify diffusion and CLIP models, altering the way in which latents are denoised such as applying styles. Multiple LoRA nodes can be linked together."
+
+    def load_lora(self, model, clip, lora_name_text, strength_model, strength_clip):
+        if not lora_name_text:
+            return (model, clip, "")
+        if strength_model == 0 and strength_clip == 0:
+            return (model, clip, "")
+
+
+        lora_path = folder_paths.get_full_path_or_raise("loras", lora_name_text.splitlines()[0])
+        lora = None
+        if self.loaded_lora is not None:
+            if self.loaded_lora[0] == lora_path:
+                lora = self.loaded_lora[1]
+            else:
+                self.loaded_lora = None
+
+        if lora is None:
+            lora = comfy.utils.load_torch_file(lora_path, safe_load=True)
+            self.loaded_lora = (lora_path, lora)
+
+        model_lora, clip_lora = comfy.sd.load_lora_for_models(model, clip, lora, strength_model, strength_clip)
+        return (model_lora, clip_lora, Path(lora_path).stem)
+
+class SLPLoraLoaderModelOnly(SLPLoraLoader):
+    
+    NAME = "HetimaSLPLoraLoaderModelOnly"
+    DISPLAY_NAME = "SLP Lora Loader (Model Only)"
+    
+    CATEGORY = "SingleLinePicker"
+    
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {"required": { "model": ("MODEL",),
+                              "lora_name_text": ("STRING",),
+                              "strength_model": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01}),
+                              }}
+    RETURN_TYPES = ("MODEL", "stem")
+    RETURN_NAMES = ("MODEL", "stem")
+    OUTPUT_TOOLTIPS = ("The modified diffusion model.", "The stem of lora file")
+    
+    FUNCTION = "load_lora_model_only"
+
+    def load_lora_model_only(self, model, lora_name_text, strength_model):
+        result = self.load_lora(model, None, lora_name_text, strength_model, 0)
+        return (result[0], result[2])