Delete dolphin_director.py

dolphin_director.py

@@ -1,93 +0,0 @@
-import os
-import re
-import json
-import hashlib
-import urllib.request
-import urllib.error
-
-import folder_paths
-import comfy.sd
-import comfy.lora
-import comfy.utils
-from safetensors import safe_open
-
-try:
-    from .promp_logic_v32_story import MODEL_PRESETS, MODEL_PRESET_LABELS, resolve_model
-except Exception:
-    MODEL_PRESETS = {"🔞 DeepSeek V3.2": "deepseek/deepseek-v3.2"}
-    MODEL_PRESET_LABELS = list(MODEL_PRESETS.keys())
-    def resolve_model(p, c): return c if p == "custom" else "deepseek/deepseek-v3.2"
-
-class DolphinCinematicDirector:
-    @classmethod
-    def INPUT_TYPES(s):
-        loras = ["None"] + folder_paths.get_filename_list("loras")
-        return {
-            "required": {
-                "model_base": ("MODEL",), "model_high": ("MODEL",), "model_low": ("MODEL",),
-                "mode": (["🤖 Auto LLM (Story Splitter)", "✍️ Manual"], {"default": "🤖 Auto LLM (Story Splitter)"}),
-                "master_story": ("STRING", {"multiline": True}),
-                "tagger_context": ("STRING", {"multiline": True}),
-                "openrouter_api_key": ("STRING", {"default": ""}),
-            },
-            "optional": {
-                "external_triggers": ("STRING", {"forceInput": True}),
-            }
-        }
-
-    RETURN_TYPES = ("MODEL", "MODEL", "MODEL", "STRING") * 4 + ("STRING",)
-    RETURN_NAMES = tuple([f"c{i}_{n}" for i in range(1, 5) for n in ["base", "high", "low", "prompt"]] + ["debug_info"])
-    FUNCTION = "direct"
-    CATEGORY = "Dolphin"
-
-    def _build_final(self, action, tags, master_scene, name, trigger_str):
-        # 1. 트리거 워드(trigger_str)와 캐릭터 이름(name)만 상단에 배치
-        header = []
-        if name: header.append(name)
-        if trigger_str: header.append(trigger_str)
-        
-        # 2. 동작(action)과 배경(master_scene)만 하단에 배치
-        # 🚀 핵심: 여기서 'tags' 변수를 아예 사용하지 않음으로써 묘사 포함을 원천 차단
-        body = []
-        if master_scene and master_scene.strip():
-            body.append(master_scene.strip())
-        if action and action.strip():
-            body.append(action.strip())
-        
-        # 결과값 결합
-        header_str = ", ".join(header)
-        body_str = " ".join(body)
-        
-        if header_str and body_str:
-            return f"{header_str}\n{body_str}"
-        return header_str or body_str
-
-    def _llm_split(self, story, name, tags, key, model):
-        # 🚀 수정: LLM에게는 묘사를 보내되, 출력 JSON에서는 동작만 뽑도록 강제
-       sys_p = (
-    "You are an action-only generator. "
-    "DO NOT output any visual descriptions, clothing, lighting, or setting details. "
-    "Your output must ONLY be the physical movement of the character. "
-    "If you include any adjective-heavy descriptions, you will be penalized. "
-    "Strictly output only the kinetic action in the JSON fields."
-)
-
-    def direct(self, model_base, model_high, model_low, mode, master_story, tagger_context, openrouter_api_key, external_triggers="", **kw):
-        # 🚀 강력한 방어: 어떤 묘사가 들어와도 태그는 강제로 빈 값으로 대체
-        tagger_context = "" 
-        
-        # 이후 로직...
-        # 모드별 처리
-        clips = [master_story] * 4 # 단순화 로직
-        master_scene = "action"
-        final_name = "character"
-        
-        outs = []
-        for c in range(1, 5):
-            # 🚀 강제로 tags(tagger_context)를 빈 문자열("")로 전달하여 무력화
-            prompt = self._build_final(clips[c-1], "", master_scene, final_name, external_triggers)
-            outs.extend([model_base, model_high, model_low, prompt])
-
-        return tuple(outs) + ("Success",)
-
-NODE_CLASS_MAPPINGS = {"DolphinCinematicDirector": DolphinCinematicDirector}