全能创作闸门与多人物定妆收口

主页已填卖点跳过卖点确认；按图片内容创作不再重复问品牌品名；方案卡支撑改为 P0/P1/P2；多人物视频一次生成多张定妆图并在出片前校验数量；超管登录直进后台。

core/backend/apps/ai/views.py

@@ -2289,9 +2289,10 @@ class CreationConversationViewSet(TeamScopedViewSetMixin, ModelViewSet):
                             design_from_image = any(kw in clean_ans for kw in ("按图片", "设计品牌", "不用再问"))
                             if design_from_image:
                                 memory["product_info_resolved"] = True
+                                memory["product_info_from_image"] = True
                                 continuation_instruction = (
                                     "用户要求直接根据图片内容设计品牌与品名推进创作。"
-                                    "直接基于图片外观特征推进方案，不要重复追问品牌。"
+                                    "直接基于图片外观特征推进方案，不要重复追问品牌品名，也不要再弹出品牌确认卡。"
                                 )
                             elif is_incomplete_product_brand_answer(clean_ans):
                                 memory.pop("product_info_resolved", None)
@@ -2374,25 +2375,35 @@ class CreationConversationViewSet(TeamScopedViewSetMixin, ModelViewSet):
                     appearance_prompt = f"{prev_prompt}；按用户最新要求调整：{clean_text}"
                 else:
                     appearance_prompt = clean_text
-                # 卸掉上一张平台定妆锁定，避免新旧角色叠在 pinned_refs 里
-                old_model_id = str(memory_now.get("person_model_id") or "").strip()
-                if old_model_id:
+                # 卸掉上一批平台定妆锁定，避免新旧角色叠在 pinned_refs 里
+                old_model_ids = {
+                    str(item).strip()
+                    for item in (memory_now.get("person_cast_model_ids") or [])
+                    if str(item).strip()
+                }
+                legacy_id = str(memory_now.get("person_model_id") or "").strip()
+                if legacy_id:
+                    old_model_ids.add(legacy_id)
+                if old_model_ids:
                     conversation.pinned_refs = [
                         ref for ref in (conversation.pinned_refs or [])
                         if not (
                             isinstance(ref, dict)
                             and ref.get("type") in {"model", "character"}
-                            and str(ref.get("id") or "") == old_model_id
+                            and str(ref.get("id") or "") in old_model_ids
                         )
                     ]
                 memory_now["person_confirm_pending"] = False
                 memory_now.pop("person_source_ready", None)
                 memory_now.pop("person_model_id", None)
+                memory_now.pop("person_cast_model_ids", None)
+                memory_now.pop("person_cast_pending", None)
+                memory_now.pop("person_cast_total", None)
                 conversation.memory = memory_now
                 conversation.save(update_fields=["memory", "pinned_refs", "updated_at"])
                 try:
                     user_msg = append_message(conversation, role="user", text=clean_text)
-                    generating = submit_generated_person_reference(
+                    generating_messages = submit_generated_person_reference(
                         conversation=conversation,
                         user=request.user,
                         appearance_prompt=appearance_prompt,
@@ -2402,7 +2413,10 @@ class CreationConversationViewSet(TeamScopedViewSetMixin, ModelViewSet):
                         "agent_status": conversation.agent_status,
                         "messages": [
                             CreationMessageSerializer(user_msg).data,
-                            CreationMessageSerializer(generating).data,
+                            *[
+                                CreationMessageSerializer(item).data
+                                for item in generating_messages
+                            ],
                         ],
                     }, status=202)
                 except Exception:
@@ -2648,7 +2662,7 @@ class CreationConversationViewSet(TeamScopedViewSetMixin, ModelViewSet):
                 if source == "platform_generate":
                     person_prompt = str(answers.get("person_prompt") or "").strip()[:500]
                     try:
-                        generating = submit_generated_person_reference(
+                        generating_messages = submit_generated_person_reference(
                             conversation=conversation,
                             user=request.user,
                             appearance_prompt=person_prompt,
@@ -2663,7 +2677,10 @@ class CreationConversationViewSet(TeamScopedViewSetMixin, ModelViewSet):
                     return JsonResponse({
                         "conversation_id": str(conversation.id),
                         "agent_status": conversation.agent_status,
-                        "messages": [CreationMessageSerializer(generating).data],
+                        "messages": [
+                            CreationMessageSerializer(item).data
+                            for item in generating_messages
+                        ],
                     }, status=202)
 
                 # 上传/模特库的人物立即进入实体锁定，不等 Celery turn 开始才保存。
@@ -2711,9 +2728,10 @@ class CreationConversationViewSet(TeamScopedViewSetMixin, ModelViewSet):
                     }, status=200)
                 if design_from_image:
                     memory["product_info_resolved"] = True
+                    memory["product_info_from_image"] = True
                     continuation_instruction = (
                         "用户要求直接根据图片内容设计品牌与品名推进创作。"
-                        "直接基于图片外观特征推进方案，不要重复追问品牌。"
+                        "直接基于图片外观特征推进方案，不要重复追问品牌品名，也不要再弹出品牌确认卡。"
                     )
                 else:
                     memory["product_info_resolved"] = True