From 3d38c173e6d4ddc7d750aefa90116da2c8044664 Mon Sep 17 00:00:00 2001 From: seaislee1209 Date: Wed, 17 Jun 2026 05:09:51 +0800 Subject: [PATCH] =?UTF-8?q?feat(core):=20=E8=A7=92=E8=89=B2=E5=AF=B9?= =?UTF-8?q?=E7=99=BD(=E5=89=A7=E6=83=85=E5=90=91=E6=8C=89=E9=9C=80)+=20?= =?UTF-8?q?=E8=81=8A=E5=A4=A9=E7=B2=BE=E5=87=86=E6=94=B9=E4=B8=80=E9=95=9C?= =?UTF-8?q?=20+=20=E6=A8=A1=E5=9E=8B=E4=B8=8B=E6=8B=89=E7=A7=BB=E4=BD=8D?= =?UTF-8?q?=20+=20=E5=85=A8=E6=B5=81=E7=A8=8Be2e=20+=20=E4=BA=A4=E5=8F=89?= =?UTF-8?q?=E9=AA=8C=E8=AF=81=E4=BF=AE=E5=A4=8D?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 新能力(均已端到端验证): - 角色对白 dialogue:[{speaker,line}](speaker=null 即旁白)。默认口播,用户在聊天提要求才出多角色对白(剧情向);narration 保留扁平拼接兼容下游字幕/配音。skill 同步:默认不强制对白。 - 聊天精准改一镜:聊天说「第N镜改XX」→ agent 读全脚本上下文、只重写那一镜(target_index + 后端 _merge_single_segment 强制保其余镜原样),保衔接。 - 前端:分镜卡渲染对白/镜型/露出;模型下拉从顶部移到输入框下方小按钮(对齐 ChatGPT/Lovart)。 全流程 e2e 真跑通:商品→脚本→基础资产(gpt-image-2)→故事板(@图N 多图合成锁脸锁商品)→视频(Seedance 6.4分钟出片,带音效+人声)。 对抗式交叉验证(3 审查员)修复: - 改稿用基准稿时长 effective_duration(prompt head + normalize + merge),避免请求默认 60 把 90s/6镜稿尾镜截掉/单镜改空转。 - target_index 越界服务端早返回报错、不计费;模型未产出目标镜时抛错释放额度(不静默空转)。 - 前端「第N镜」正则收窄为 镜|场(去掉会误判「第3个卖点」的 个|段)。 - 回归:测试 setUp 停用 seed 中转站文本模型,保证命中可 mock 的 provider(18/18 过)。 CLAUDE.md 加「AI 生成 Agent 化架构」一节供后续维护。 Co-Authored-By: Claude Opus 4.8 (1M context) --- CLAUDE.md | 26 +++++++ core/backend/apps/ai/script_agent.py | 77 +++++++++++++++++-- .../migrations/0003_scriptsegment_dialogue.py | 18 +++++ core/backend/apps/projects/models.py | 3 + core/backend/apps/projects/serializers.py | 2 +- core/backend/apps/projects/tests.py | 4 + core/backend/apps/projects/views.py | 6 ++ core/frontend/src/api.ts | 1 + core/frontend/src/routes/pipeline.tsx | 63 ++++++++++----- core/frontend/src/types.ts | 1 + skills/ecommerce-video-script/SKILL.md | 4 +- 交接-AI生成Agent化-2026-06-17.md | 10 ++- 12 files changed, 186 insertions(+), 29 deletions(-) create mode 100644 core/backend/apps/projects/migrations/0003_scriptsegment_dialogue.py diff --git a/CLAUDE.md b/CLAUDE.md index cbf882b..39669f8 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -67,6 +67,32 @@ - **Push 规则:** 默认不 push,改完即停 · 用户明确说"push / 推一下"才执行 - **commit 前不要 amend** — 创建新 commit,避免破坏历史 +--- + +## ★ AI 生成 Agent 化架构(后端核心 · 改 AI 链路前必读) + +> 2026-06-17 落地:脚本从「散文+正则」升级为**结构化流式对话 agent**,并把 商品→脚本→图片→故事板→视频 用**可插拔 Provider** 打通。全流程已端到端验证(含 Seedance 出片)。详见仓库 `交接-AI生成Agent化-2026-06-17.md` 与 `AI生成-Agent化落地方案.md`。 + +### 可插拔 Provider(换中转站零改代码) +- 火山官方直连(豆包/SeeDream/Seedance)→ `VolcanoArkProvider`;其余(tokenssr 等中转站)→ 通用 `OpenAICompatibleProvider(base_url, api_key)`。 +- 分流在 [services.py](core/backend/apps/ai/services.py) `build_provider()`,按 `provider.name ∈ OFFICIAL_DIRECT_PROVIDERS`(含 `volcengine`)。**加/换中转站 = DB 加一行 `ModelProvider`**。凭证解析:`ModelProvider.api_key`(DB)→ `settings.PROVIDER_KEYS`(.env),密钥默认只在 .env。 +- 默认模型 `get_default_model(capability)` = 最早创建的 active 模型;图像默认 = `tokenssr:gpt-image-2`(迁移 0006 停用其余图像模型,**别再激活火山 Seedream 否则会顶替默认**)。 + +### 脚本 Agent(流式 SSE) +- 端点 `POST /api/projects/{id}/script-agent-stream/` → `text/event-stream`,事件 `tool`/`delta`/`draft`/`saved`/`done`/`error`。**DRF 必须挂 `ServerSentEventRenderer` 否则 406**。 +- 核心 [script_agent.py](core/backend/apps/ai/script_agent.py):加载 `skills/ecommerce-video-script/` 作系统提示词;3 模式(auto/theme/revise)+ **精准改一镜**(`target_index`,后端 `_merge_single_segment` 强制保留其余镜);多模型(`model_config_id`)。 +- **结构化 ScriptDraft 契约**:`narration`(口播/旁白,扁平兼容下游)+ `dialogue:[{speaker,line}]`(剧情对白,默认空,用户聊天提要求才补)+ `role/speaker/product_exposure/entity_refs`。落 `ScriptVersion.metadata`(hook/tone/entities)+ `ScriptSegment` 字段,并回填 `project.metadata`(cast/scenes/script_entities)给下游。 +- **改稿用基准稿时长**(`effective_duration`),别用请求默认 60 否则截掉 90s 稿尾镜。**所有 `target_index` 判断用 `is None` 不用真值**(0 是合法镜号)。 + +### 图像 / 故事板 / 视频 / 模特库 +- 故事板 @图1@图2@图3:`_storyboard_reference_images()` 按 `entity_refs` 取角色/场景/商品基础资产,`provider.image_edit(images=[...])` 多图合成(锁脸锁商品)。**走 image_edit 分支必须用 `build_storyboard_frame_prompt_refs`**(refs 版提示词,否则一致性约束失效)。 +- 视频 Seedance:`create_video_task(generate_audio=True)` 直接出音(原写死 False)。慢:5-10 分钟/段。 +- 模特库:`python manage.py seed_demo_models --count N`([model_library.py](core/backend/apps/ai/model_library.py),9:16氛围图→16:9白底三视图)。 + +### 测试 / 凭证 +- 跑测试用 `DB_ENGINE=sqlite`(远程库无建库权限);测试 setUp 会停用 seed 的中转站文本模型保证命中可 mock 的 VolcanoArkProvider。 +- `.env` 已含 tokenssr/飞书/火山审核(借 AirDrama AK/SK,**待张业昌换**)/豆包TTS。🔴 火山人像素材库审核(绿/红盾)= 设计完成未接线,交接文档 §6 有照搬 AirDrama 步骤。 + ## 文件操作 - **三视图 = 单张 16:9 图** · 不要拆成 3 张缩略 · 用 `aspect-ratio: 16/9` 单容器 diff --git a/core/backend/apps/ai/script_agent.py b/core/backend/apps/ai/script_agent.py index 3b8a69f..646d410 100644 --- a/core/backend/apps/ai/script_agent.py +++ b/core/backend/apps/ai/script_agent.py @@ -103,6 +103,7 @@ def build_agent_messages( base_draft: dict | None, aspect_ratio: str, total_duration: int, + target_index: int | None = None, ) -> list[dict[str, str]]: system = load_ecommerce_skill() + _OUTPUT_PROTOCOL head = ( @@ -110,7 +111,17 @@ def build_agent_messages( f"【总时长】{total_duration} 秒(每 15 秒一镜,共 {total_duration // 15} 镜)\n" f"【商品信息】\n{_product_context(project, selling_point_ids)}" ) - if mode == "revise" and base_draft: + if mode == "revise" and base_draft and target_index is not None: + # 精准改一镜:读全脚本上下文,只重写第 N 镜,强制与前后镜衔接;其余镜后端会强制保持原样。 + user = ( + f"【任务】只重写第 {target_index + 1} 镜(共 {len(base_draft.get('segments', []))} 镜),其余镜保持不变。\n" + f"{head}\n\n" + f"【现有完整脚本 JSON(读它保证与前后镜衔接)】\n{json.dumps(base_draft, ensure_ascii=False)}\n\n" + f"【对第 {target_index + 1} 镜的修改意见】{user_prompt.strip() or '让这一镜更有吸引力、表达更清晰。'}\n\n" + "仍输出**完整** ScriptDraft(我只会采用第 " + f"{target_index + 1} 镜的改动);若意见涉及角色对白,就给这一镜填 dialogue。" + ) + elif mode == "revise" and base_draft: user = ( "【任务】改稿(模式③):在保留用户原意的前提下,增强钩子/节奏/卖点/CTA,并归一化到契约 JSON。\n" f"{head}\n\n" @@ -257,16 +268,30 @@ def normalize_draft(raw_text: str, *, aspect_ratio: str, total_duration: int) -> speaker = seg.get("speaker") speaker = speaker if (speaker in valid_ids) else None refs = [r for r in (seg.get("entity_refs") or []) if r in valid_ids] + # 对白(剧情向):[{speaker(合法 entity id 或 null=旁白), line}];默认空 = 纯口播 + dialogue = [] + for d in (seg.get("dialogue") or []): + if not isinstance(d, dict): + continue + line = (d.get("line") or d.get("text") or "").strip() + if not line: + continue + sp = d.get("speaker") + dialogue.append({"speaker": sp if sp in valid_ids else None, "line": line}) + narration = (seg.get("narration") or "").strip() + if not narration and dialogue: + narration = " ".join(d["line"] for d in dialogue) # 扁平拼接,兼容下游字幕/配音 norm_segments.append( { "index": i, "duration": 15, "role": role, - "narration": (seg.get("narration") or "").strip(), + "narration": narration, "speaker": speaker, "visual": (seg.get("visual") or seg.get("visual_prompt") or "").strip(), "product_exposure": (seg.get("product_exposure") or "").strip(), "entity_refs": refs, + "dialogue": dialogue, } ) # 不足镜数则补占位镜(极少发生,避免下游镜数对不上) @@ -282,6 +307,7 @@ def normalize_draft(raw_text: str, *, aspect_ratio: str, total_duration: int) -> "visual": "", "product_exposure": "", "entity_refs": [], + "dialogue": [], } ) if not norm_segments: @@ -290,6 +316,30 @@ def normalize_draft(raw_text: str, *, aspect_ratio: str, total_duration: int) -> return draft +def _merge_single_segment(base: dict, new: dict, idx: int, aspect_ratio: str, total_duration: int) -> dict: + """精准改一镜:以基准稿为底,只用新稿的第 idx 镜替换,其余镜逐字保持;合并新稿引入的新 entity(对白可能加角色)。再整体规范化。""" + merged = json.loads(json.dumps(base)) # 深拷贝 + base_ids = {e.get("id") for e in merged.get("entities", []) if isinstance(e, dict)} + for e in new.get("entities", []): + if isinstance(e, dict) and e.get("id") and e["id"] not in base_ids: + merged.setdefault("entities", []).append(e) + base_ids.add(e["id"]) + new_segs = new.get("segments", []) + target = next((s for s in new_segs if isinstance(s, dict) and s.get("index") == idx), None) + if target is None and 0 <= idx < len(new_segs): + target = new_segs[idx] + if not isinstance(target, dict): + # 模型没产出目标镜(没按 N 镜输出)→ 抛错让上层释放额度+报错,而不是静默返回 base 空转计费 + raise ValueError(f"模型未产出第 {idx + 1} 镜的改动,请重试") + segs = merged.get("segments", []) + if isinstance(target, dict) and 0 <= idx < len(segs): + target = dict(target) + target["index"] = idx + segs[idx] = target + merged["segments"] = segs + return normalize_draft(json.dumps(merged, ensure_ascii=False), aspect_ratio=aspect_ratio, total_duration=total_duration) + + # --------------------------------------------------------------------------- # # 落库 # --------------------------------------------------------------------------- # @@ -346,6 +396,7 @@ def persist_script_draft(*, project, user, task, draft: dict, source: str): speaker=seg.get("speaker") or "", product_exposure=seg.get("product_exposure", ""), entity_refs=seg.get("entity_refs") or [], + dialogue=seg.get("dialogue") or [], product_points=[], ) _map_entities_to_project_metadata(project, draft.get("entities", [])) @@ -383,8 +434,10 @@ def stream_script_agent( base_version_id: str | None = None, aspect_ratio: str = "9:16", total_duration: int = 60, + target_index: int | None = None, ): - """生成 SSE 帧字符串的同步生成器,供 StreamingHttpResponse 包裹。""" + """生成 SSE 帧字符串的同步生成器,供 StreamingHttpResponse 包裹。 + target_index 非空 = 精准只改第 N 镜(读全脚本上下文,后端强制保留其余镜原样)。""" from apps.ai.services import build_provider, create_ai_task yield _sse({"type": "tool", "id": "skill", "label": "加载电商脚本技能", "status": "running"}) @@ -395,6 +448,16 @@ def stream_script_agent( base_draft = None if mode == "revise" and base_version_id: base_draft = _load_base_draft(project, base_version_id) + if base_draft is None: + target_index = None # 没有基准稿就退回整版生成,单镜改无从谈起 + # 改稿以基准稿的时长/镜数为准,避免请求侧默认值(前端可能硬编码 60)把 90s/6镜稿的尾镜挤掉 + effective_duration = (base_draft.get("total_duration") if base_draft else None) or total_duration + # 精准改一镜:镜号越界直接报错返回,绝不建任务/扣费(避免计费空转的静默 no-op) + if target_index is not None and base_draft is not None: + seg_n = len(base_draft.get("segments", [])) + if not (0 <= target_index < seg_n): + yield _sse({"type": "error", "detail": f"镜号越界:第 {target_index + 1} 镜(共 {seg_n} 镜)"}) + return messages = build_agent_messages( project=project, mode=mode, @@ -402,7 +465,8 @@ def stream_script_agent( selling_point_ids=selling_point_ids, base_draft=base_draft, aspect_ratio=aspect_ratio, - total_duration=total_duration, + total_duration=effective_duration, # 改稿用基准稿时长,prompt head 才不会误导模型镜数(否则模型按60s只出4镜) + target_index=target_index, ) yield _sse({"type": "tool", "id": "analyze", "status": "done"}) @@ -461,7 +525,10 @@ def stream_script_agent( elif ev.get("type") == "done": break raw = "".join(full) - draft = normalize_draft(raw, aspect_ratio=aspect_ratio, total_duration=total_duration) + draft = normalize_draft(raw, aspect_ratio=aspect_ratio, total_duration=effective_duration) + if target_index is not None and base_draft: + # 精准改一镜:只采用新稿的第 target_index 镜,其余镜强制保持基准稿原样 + draft = _merge_single_segment(base_draft, draft, target_index, aspect_ratio, effective_duration) except Exception as exc: # noqa: BLE001 _fail_task(task, reservation, str(exc)) settled = True diff --git a/core/backend/apps/projects/migrations/0003_scriptsegment_dialogue.py b/core/backend/apps/projects/migrations/0003_scriptsegment_dialogue.py new file mode 100644 index 0000000..827aa43 --- /dev/null +++ b/core/backend/apps/projects/migrations/0003_scriptsegment_dialogue.py @@ -0,0 +1,18 @@ +# Generated by Django 5.1.15 on 2026-06-16 20:25 + +from django.db import migrations, models + + +class Migration(migrations.Migration): + + dependencies = [ + ('projects', '0002_scriptsegment_structured_fields'), + ] + + operations = [ + migrations.AddField( + model_name='scriptsegment', + name='dialogue', + field=models.JSONField(blank=True, default=list), + ), + ] diff --git a/core/backend/apps/projects/models.py b/core/backend/apps/projects/models.py index 0c29311..4a67027 100644 --- a/core/backend/apps/projects/models.py +++ b/core/backend/apps/projects/models.py @@ -85,6 +85,9 @@ class ScriptSegment(TimeStampedModel): speaker = models.CharField(max_length=32, blank=True) # 指向某 entity id;画外旁白为空 product_exposure = models.CharField(max_length=64, blank=True) # 手持/特写/使用中… entity_refs = models.JSONField(default=list, blank=True) # 本镜引用的 entity id 列表(→ 故事板 @图N) + # 角色对白(剧情向):[{speaker, line}],speaker=entity id 即角色台词、null 即旁白。 + # 默认空 = 纯口播/旁白(用 narration);用户在聊天里明确要对白时 agent 才填。narration 仍存扁平拼接兼容下游。 + dialogue = models.JSONField(default=list, blank=True) class Meta: ordering = ["sort_order", "created_at"] diff --git a/core/backend/apps/projects/serializers.py b/core/backend/apps/projects/serializers.py index 94d3d92..00c4b16 100644 --- a/core/backend/apps/projects/serializers.py +++ b/core/backend/apps/projects/serializers.py @@ -230,7 +230,7 @@ class ScriptSegmentSerializer(serializers.ModelSerializer): model = ScriptSegment fields = [ "id", "sort_order", "duration_seconds", "narration", "visual_prompt", "product_points", - "role", "speaker", "product_exposure", "entity_refs", + "role", "speaker", "product_exposure", "entity_refs", "dialogue", ] read_only_fields = fields diff --git a/core/backend/apps/projects/tests.py b/core/backend/apps/projects/tests.py index 8dbe4ef..b614f4c 100644 --- a/core/backend/apps/projects/tests.py +++ b/core/backend/apps/projects/tests.py @@ -41,6 +41,10 @@ class ProjectApiTests(TestCase): endpoint="chat/completions", unit_price="2.0000", ) + # 数据迁移(0006)会 seed 中转站文本模型,created_at 更早 → get_default_model 会选到它, + # 从而路由到未被 patch 的 OpenAICompatibleProvider 打真网络。这里只保留自建 volcengine 模型为 + # active,确保命中可 mock 的 VolcanoArkProvider(生产有 bootstrap 豆包在前,默认仍是豆包,不受影响)。 + ModelConfig.objects.filter(capability=ModelConfig.Capability.TEXT).exclude(id=self.model.id).update(status="disabled") self.client = APIClient() self.client.force_authenticate(self.user) diff --git a/core/backend/apps/projects/views.py b/core/backend/apps/projects/views.py index fd3287d..79567d9 100644 --- a/core/backend/apps/projects/views.py +++ b/core/backend/apps/projects/views.py @@ -166,6 +166,11 @@ class ProjectViewSet(TeamScopedViewSetMixin, ModelViewSet): total_duration = int(request.data.get("total_duration") or 60) except (TypeError, ValueError): total_duration = 60 + target_index = request.data.get("target_index") + try: + target_index = int(target_index) if target_index is not None else None + except (TypeError, ValueError): + target_index = None model_config = None requested = request.data.get("model_config_id") @@ -191,6 +196,7 @@ class ProjectViewSet(TeamScopedViewSetMixin, ModelViewSet): base_version_id=base_version_id, aspect_ratio=aspect_ratio, total_duration=total_duration, + target_index=target_index, ) response = StreamingHttpResponse(stream, content_type="text/event-stream") response["Cache-Control"] = "no-cache" diff --git a/core/frontend/src/api.ts b/core/frontend/src/api.ts index 2400865..6e507ac 100644 --- a/core/frontend/src/api.ts +++ b/core/frontend/src/api.ts @@ -235,6 +235,7 @@ export const api = { base_version_id?: string; aspect_ratio?: string; total_duration?: number; + target_index?: number; }, onEvent: (evt: { type: string; [k: string]: unknown }) => void ): Promise { diff --git a/core/frontend/src/routes/pipeline.tsx b/core/frontend/src/routes/pipeline.tsx index 099dd80..3548466 100644 --- a/core/frontend/src/routes/pipeline.tsx +++ b/core/frontend/src/routes/pipeline.tsx @@ -421,6 +421,9 @@ export function PipelinePage(props: { null; const scriptAdopted = Boolean(currentScript?.is_adopted); const shots = [...(currentScript?.segments ?? [])].sort((a, b) => a.sort_order - b.sort_order); + // 对白 speaker(entity id)→ 角色名;null = 旁白。entities 在 ScriptVersion.metadata + const scriptEntities = ((currentScript?.metadata as { entities?: Array<{ id: string; name: string }> } | undefined)?.entities) ?? []; + const entityName = (id: string | null | undefined) => (id ? (scriptEntities.find((e) => e.id === id)?.name || id) : "旁白"); // 行34 · 脚本里的「人物 / 场景」标签:持久化进 project.metadata.cast / .scenes。 // 初值从 metadata 读,刷新/重进后仍在;增删后 onSaveProjectMeta 合并落库。 const [castTags, setCastTags] = useState(() => project.metadata?.cast ?? []); @@ -649,11 +652,12 @@ export function PipelinePage(props: { if (src === "revise") return "revise"; return "auto"; // ai / manual / 默认 } - async function runScriptGeneration(prompt: string, userLabel?: string, source?: string, mode?: "auto" | "theme" | "revise") { + async function runScriptGeneration(prompt: string, userLabel?: string, source?: string, mode?: "auto" | "theme" | "revise", targetIndex?: number) { pushMsg("user", userLabel || prompt); const progressId = nextMsgId(); setChatMsgs((list) => [...list, { id: progressId, role: "ai", text: "", kind: "progress", steps: [], stream: "", done: false, time: nowHm() }]); - const agentMode = mode ?? mapSourceToMode(source ?? chatMode); + // 指定镜号 = 精准改一镜,强制走 revise(后端读全脚本上下文、只动那一镜) + const agentMode = targetIndex != null ? "revise" : (mode ?? mapSourceToMode(source ?? chatMode)); const baseVersionId = agentMode === "revise" ? currentScript?.id : undefined; let ok = false; let receivedEvent = false; @@ -666,7 +670,8 @@ export function PipelinePage(props: { model_config_id: activeScriptModelId || undefined, base_version_id: baseVersionId, aspect_ratio: "9:16", - total_duration: 60 + total_duration: 60, + target_index: targetIndex }, (evt) => { receivedEvent = true; @@ -748,8 +753,19 @@ export function PipelinePage(props: { setChatText(""); setChatAttachments([]); setPendingTagEdits([]); - // 已有脚本 → 追问走「改稿」模式(基于当前脚本增强,保留原意);否则全自动出稿 - void runScriptGeneration(prompt, label || undefined, undefined, currentScript ? "revise" : "auto"); + // 检测「第N镜 / 场N / 第N个 / 第N段」→ 精准只改那一镜(有当前脚本时);否则整版改稿/出稿 + let targetIndex: number | undefined; + if (currentScript && shots.length) { + // 只认「第N镜 / 第N场」;「个/段」太宽(会撞「第3个卖点」「第2段文案」等整体改稿诉求)故不触发 + const m = text.match(/第\s*([0-9]{1,2}|[一二两三四五六七八九十])\s*(?:镜|场)/); + if (m) { + const cn: Record = { 一: 1, 二: 2, 两: 2, 三: 3, 四: 4, 五: 5, 六: 6, 七: 7, 八: 8, 九: 9, 十: 10 }; + const n = /^[0-9]+$/.test(m[1]) ? parseInt(m[1], 10) : (cn[m[1]] ?? 0); + if (n >= 1 && n <= shots.length) targetIndex = n - 1; + } + } + // 已有脚本 → 追问走「改稿」(指定镜号则只改那镜);否则全自动出稿 + void runScriptGeneration(prompt, label || undefined, undefined, currentScript ? "revise" : "auto", targetIndex); } function clearChat() { setPendingTagEdits([]); @@ -1846,6 +1862,17 @@ export function PipelinePage(props: { ) : null} + {/* 角色对白(剧情向):speaker→角色名 / 旁白;只读展示 */} + {shot.dialogue && shot.dialogue.length > 0 ? ( +
+ 对白 +
+ {shot.dialogue.map((d, di) => ( +
{entityName(d.speaker)}：{d.line}
+ ))} +
+
+ ) : null} {/* 行34 · 该卡之后挂着的本地草稿分镜(点「添加分镜」插入,可编辑,有内容失焦才落库) */} @@ -1878,19 +1905,7 @@ export function PipelinePage(props: {
AI
脚本助手 - {textModels && textModels.length > 0 ? ( - - ) : ( - · {scriptModelName} - )} + · {scriptModelName}
@@ -1987,6 +2002,18 @@ export function PipelinePage(props: { + {/* 模型选择小按钮(放输入框下方,对齐 ChatGPT/Lovart) */} + {textModels && textModels.length > 0 ? ( + + ) : null}