修复种草图生成：以三合一主图为参考 img2img 生成，按颜色分配（每色优先、超出随机补足）；新增 BR/CA/DE/ES/IT/PL/SA 七国配置与提示词；删除验证用测试脚本

graph/nodes/seed_node.py

@@ -34,7 +34,7 @@ def _cache_key(country: str, provider: str, cfg: Dict[str, Any]) -> str:
     避免命中旧参数生成的种子；旧文件保留（不删缓存，取最新）。"""
     fp = hashlib.md5(
         json.dumps(
-            {k: cfg.get(k) for k in ("max_style_seeds", "max_related_seeds",
+            {k: cfg.get(k) for k in ("max_seeds", "max_style_seeds", "max_related_seeds",
                                      "trending_context_limit", "history_limit")},
             sort_keys=True, ensure_ascii=False,
         ).encode("utf-8")
@@ -72,6 +72,7 @@ def seed_node(state: Dict[str, Any]) -> Dict[str, Any]:
     cfg = config.get("seed_provider_cfg") or {}
     trending_limit = int(cfg.get("trending_context_limit", 15))
     history_limit = int(cfg.get("history_limit", 20))
+    max_seeds = int(cfg.get("max_seeds", 0))
     max_style = int(cfg.get("max_style_seeds", 12))
     max_related = int(cfg.get("max_related_seeds", 12))
     guard = COMMON_RISK_WORDS + [b.lower() for b in (config.get("blacklist") or [])]
@@ -84,6 +85,7 @@ def seed_node(state: Dict[str, Any]) -> Dict[str, Any]:
         res = cached
         context: Dict[str, Any] = {
             "country": country,
+            "max_seeds": max_seeds,
             "max_style_seeds": max_style,
             "max_related_seeds": max_related,
         }
@@ -91,6 +93,7 @@ def seed_node(state: Dict[str, Any]) -> Dict[str, Any]:
         # 1) 收集上下文
         context: Dict[str, Any] = {
             "country": country,
+            "max_seeds": max_seeds,
             "max_style_seeds": max_style,
             "max_related_seeds": max_related,
         }