From 871ced6d2ded107bc4aa151cc333eeed45856d10 Mon Sep 17 00:00:00 2001 From: kang Date: Thu, 14 May 2026 06:11:29 +0800 Subject: [PATCH] auto-save 2026-05-14 06:11 (~6) --- .memory/worklog.json | 27 ++++---- api/main.py | 60 +++++++++++++++-- docs/source-analysis.html | 35 ++++++---- web/components/lightbox.tsx | 116 +++++++++++++++++++++++++++------ web/components/nodes/index.tsx | 56 ++++++++-------- web/lib/api.ts | 13 +++- 6 files changed, 225 insertions(+), 82 deletions(-) diff --git a/.memory/worklog.json b/.memory/worklog.json index 777b36e..eb806a4 100644 --- a/.memory/worklog.json +++ b/.memory/worklog.json @@ -1,19 +1,5 @@ { "entries": [ - { - "files_changed": 3, - "hash": "4779c26", - "message": "auto-save 2026-05-12 16:49 (~3)", - "ts": "2026-05-12T16:50:05+08:00", - "type": "commit" - }, - { - "files_changed": 4, - "hash": "345391d", - "message": "auto-save 2026-05-12 16:55 (~4)", - "ts": "2026-05-12T16:55:37+08:00", - "type": "commit" - }, { "files_changed": 3, "hash": "4138bea", @@ -3354,6 +3340,19 @@ "type": "session-heartbeat", "message": "Claude 会话活跃 · 最近命令：claude · 1 项未提交变更 · 最近提交：auto-save 2026-05-14 06:00 (~2)", "files_changed": 1 + }, + { + "ts": "2026-05-14T06:05:57+08:00", + "type": "commit", + "message": "auto-save 2026-05-14 06:05 (~1)", + "hash": "2b54616", + "files_changed": 1 + }, + { + "ts": "2026-05-13T22:08:51Z", + "type": "session-heartbeat", + "message": "Codex 会话活跃 · 最近命令：codex · 4 项未提交变更 · 最近提交：auto-save 2026-05-14 06:05 (~1)", + "files_changed": 4 } ] } diff --git a/api/main.py b/api/main.py index 680c155..c95d2bd 100644 --- a/api/main.py +++ b/api/main.py @@ -97,6 +97,8 @@ AssetSize = Literal["source", "1024", "1536", "2048"] AssetQuality = Literal["hd"] SubjectKind = Literal["object", "living"] SubjectView = str +SceneMode = Literal["remove_subject", "similar", "style"] +SceneStyle = Literal["source", "premium_product", "clean_studio", "warm_lifestyle", "cinematic"] FRAME_TARGET_LABELS: dict[FrameExtractTarget, str] = { "balanced": "综合关键帧", "subject": "清晰主体", @@ -191,6 +193,8 @@ class SceneAsset(BaseModel): height: int = 0 quality: AssetQuality = "hd" size: AssetSize = "source" + scene_mode: SceneMode = "remove_subject" + scene_style: SceneStyle = "source" quality_report: QualityReport | None = None created_at: float = 0.0 @@ -1930,6 +1934,8 @@ class UpdateElementReq(BaseModel): class GenerateSceneAssetReq(BaseModel): quality: AssetQuality = "hd" size: AssetSize = "source" + scene_mode: SceneMode = "remove_subject" + scene_style: SceneStyle = "source" class GenerateSubjectAssetsReq(BaseModel): @@ -2058,7 +2064,8 @@ def delete_element(job_id: str, idx: int, element_id: str) -> Job: @app.post("/jobs/{job_id}/frames/{idx}/scene-asset", response_model=Job) def generate_scene_asset(job_id: str, idx: int, req: GenerateSceneAssetReq) -> Job: - """为关键帧生成一张干净、高清的场景参考图。默认一帧只需要一张，重跑会保留历史供人工比对。""" + """为关键帧生成一张干净、高清的场景参考图。默认一帧只需要一张，重跑会保留历史供人工比对。 + 场景图排在主体资产之后：优先依据已确认主体，去主体并补全背景，再按模式生成原场景/相似场景/换风格场景。""" import time as _time job = JOBS.get(job_id) if not job: @@ -2068,12 +2075,51 @@ def generate_scene_asset(job_id: str, idx: int, req: GenerateSceneAssetReq) -> J if not src.exists(): raise HTTPException(404, "source frame file missing") + confirmed_subjects = [ + (e.name_en or e.name_zh).strip() + for e in (frame.elements or []) + if (e.subject_assets or []) + ] + if not confirmed_subjects: + confirmed_subjects = [ + (e.name_en or e.name_zh).strip() + for e in (frame.elements or []) + if (e.name_en or e.name_zh).strip() + ][:3] + subject_clause = ( + "Confirmed foreground subject(s) to remove: " + ", ".join(confirmed_subjects) + ". " + if confirmed_subjects + else "Remove the main foreground subject from the frame if present. " + ) + mode_clause = { + "remove_subject": ( + "Keep the original environment, camera angle, perspective, composition, lighting direction, color mood, and spatial layout. " + "The result should be an empty clean scene/background plate with the subject removed and the occluded background reconstructed." + ), + "similar": ( + "Create a similar but not identical scene/background plate: keep the same camera angle, rough spatial layout, lighting direction, and usage context, " + "but vary props, surface details, textures, and small environmental details so it is not a duplicate of the source." + ), + "style": ( + "Create a scene/background plate with the same camera angle and spatial layout, but reinterpret the environment in the selected visual style. " + "Keep it believable and useful for image-to-video generation." + ), + }[req.scene_mode] + style_clause = { + "source": "Follow the original source style.", + "premium_product": "Use a premium product-advertising style: polished, high-end, clean commercial lighting, refined materials.", + "clean_studio": "Use a clean studio style: simple surfaces, controlled lighting, minimal distractions.", + "warm_lifestyle": "Use a warm lifestyle style: realistic lived-in details, soft natural light, approachable atmosphere.", + "cinematic": "Use a cinematic style: dramatic but natural lighting, richer depth, filmic contrast, not fantasy.", + }[req.scene_style] prompt = ( - "Create one clean high-definition scene reference image from this frame. " - "Remove watermarks, platform UI, captions, usernames, hashtags, logos, and overlay graphics. " - "Preserve the original camera angle, composition, environment, lighting style, and believable spatial layout. " - "Do not create multiple views. Do not isolate objects. Keep it useful as the scene/background reference for image-to-video generation. " - "Enhance clarity and texture while avoiding over-smoothing or changing important visual details." + "Create one clean high-definition scene/background reference image from this frame. " + + subject_clause + + "Do not include the removed subject, duplicate people, animals, products, text, watermark, platform UI, captions, usernames, hashtags, logos, or overlay graphics. " + + mode_clause + " " + + style_clause + " " + + "Enhance clarity and texture while avoiding over-smoothing, warped geometry, or changing important perspective details. " + + "Do not create multiple views. Do not isolate objects." ) models = [IMAGE_MODEL, "gemini-3.1-flash-image-preview", "gemini-2.5-flash-image"] try: @@ -2093,6 +2139,8 @@ def generate_scene_asset(job_id: str, idx: int, req: GenerateSceneAssetReq) -> J height=height, quality=req.quality, size=req.size, + scene_mode=req.scene_mode, + scene_style=req.scene_style, quality_report=report, created_at=_time.time(), ) diff --git a/docs/source-analysis.html b/docs/source-analysis.html index 6f07a08..5f2d86c 100644 --- a/docs/source-analysis.html +++ b/docs/source-analysis.html @@ -555,7 +555,7 @@
2

镜头拆解

拆轨、抽关键帧、手动加帧，形成参考分镜池。

3

清洗水印

对关键帧做全图或区域清洗，必要时应用为当前参考图。

4

主体识别

识别场景和主体候选，只是候选，不应锁死。

-
5

素材准备

清洗关键帧，生成场景图和主体多视角/动作/表情资产包。

+
5

素材准备

清洗关键帧，先生成主体多视角/动作/表情资产包，再生成去主体、相似或换风格场景图。

6

分镜改造

把参考主体、场景、动作和 SKG 产品放入分镜结构。

7

生成视频

用分镜 4 图槽、改造目标和时长调用 Seedance / Kling / Veo 3 生视频 API，结果回写到画面工作台节点。

8

合成成品

片段、字幕、配音、转场合成最终 mp4。当前未实现。

@@ -571,7 +571,7 @@ web/app/page.tsx产品工作台主状态：jobs、activeJobId、selectedFrames、clipboard、ReactFlow 节点和边；负责打开/找回画布工作面板。 web/components/nodes/index.tsxDAG 节点定义：Input、VisualLab、Audio、Compose，以及画布工作面板 KeyframePanel / VideoFramePanel；旧 Keyframe/Storyboard/VideoGen 组件保留但不再挂主画布。 - web/components/lightbox.tsx关键帧素材准备面板：清洗、场景图、主体候选、主体资产包和审核。 + web/components/lightbox.tsx关键帧素材准备面板：清洗、主体候选、主体资产包、去主体场景图和审核。 web/components/storyboard-bar.tsx顶部分镜编排条：展示选入编排的关键帧，并作为唯一分镜导航。 web/components/storyboard-workbench.tsx顶部分镜编排条下方的明细区：4 图槽、改造目标、时长、自动保存。 web/lib/api.ts前端类型和 API client，是前后端数据契约镜像。 @@ -618,13 +618,13 @@ api/main.py
你看到的区域画面工作台 · Visual Lab
-
主要源码VisualLabNode in web/components/nodes/index.tsx；它现在是素材准备看板，汇总关键帧、场景图、主体资产包和视频任务。
+
主要源码VisualLabNode in web/components/nodes/index.tsx；它现在是素材准备看板，汇总关键帧、主体资产包、场景图和视频任务。
适合怎么描述“画面工作台的素材准备进度、分组缩略图、关键帧审核入口和后续分镜入口应该如何组织”。
你看到的区域关键帧素材审核面板
-
主要源码FrameLightbox；按“原图/清洗、场景图、主体资产、审核”四个页签组织；非主体页采用左侧大图 + 右侧窄状态栏，主体资产页保留较宽右栏；清洗页支持一键批量生成待审核清洗版，相关接口包括 cleanupFrame、addElement、generateSceneAsset、generateSubjectAssets。
-
适合怎么描述“某张关键帧的水印、场景图、主体多视角/动作/表情图和质量风险应该如何审核”。
+
主要源码FrameLightbox；按“原图/清洗、主体资产、场景图、审核”四个页签组织；左侧只放主图/框选画布，右侧承载当前页操作、状态和结果；场景图依赖主体资产，支持去主体原场景、相似新场景和同构换风格。相关接口包括 cleanupFrame、addElement、generateSubjectAssets、generateSceneAsset。
+
适合怎么描述“某张关键帧的水印、主体多视角/动作/表情图、去主体场景图和质量风险应该如何审核”。
你看到的区域顶部分镜头编排下拉面板
@@ -728,8 +728,8 @@ SubjectAsset { 应用清洗POST /cleanup/applyapplyCleanedFrame物理覆盖 frames/{idx}.jpg，并备份原图。 元素增改删POST/PATCH/DELETE /elementsaddElement/updateElement/deleteElement让用户修正 Vision 错误，避免候选结果锁死。 元素提取POST /elements/{element_id}/cutoutcutoutElement调用图像模型生成独立白底素材图，每次累积一张 cutout。 - 场景资产POST /frames/{idx}/scene-assetgenerateSceneAsset为每张已选关键帧生成一张去水印、高清增强的场景图，保留历史版本用于人工审核。 主体资产包POST /elements/{element_id}/subject-assetsgenerateSubjectAssets根据用户选择的视图、动作和表情生成主体资产包；当多个关键帧都指向同一主体时，前端把已选关键帧作为 source_frame_indices 传入，后端拼参考板。 + 场景资产POST /frames/{idx}/scene-assetgenerateSceneAsset在主体资产之后生成去主体背景板；请求包含 scene_mode 和 scene_style，可做原场景补背景、相似新场景或同构换风格，保留历史版本用于人工审核。 分镜保存PUT /frames/{idx}/storyboardupdateStoryboard保存 4 图槽、时长和改造说明。 生图POST /frames/{idx}/generategenerateImage基于关键帧或已选生成图做 image-to-image，目前可用。 @@ -751,7 +751,7 @@ SubjectAsset { 画面工作台 Visual Lab - 作为素材准备看板：显示准备进度、质量风险、关键帧 / 场景图 / 主体包 / 分镜视频四个入口；上方缩略图按关键帧、场景图、主体包、视频任务分组。点击关键帧进入素材审核面板，点击资产图复制到分镜编排。 + 作为素材准备看板：显示准备进度、质量风险、关键帧 / 主体包 / 场景图 / 分镜视频四个入口；上方缩略图按关键帧、主体包、场景图、视频任务分组。点击关键帧进入素材审核面板，点击资产图复制到分镜编排。 不要在主卡片里堆复杂表单；主卡片只做状态总览和入口。 VisualLabNode、FrameLightbox、generateSceneAsset、generateSubjectAssets、视频任务接口 @@ -814,7 +814,7 @@ SubjectAsset {

改关键帧素材准备

-

“我在关键帧素材准备面板里，主体候选应该怎么编辑/删除；场景图和主体资产包怎么生成、审核、复制到分镜。”

+

“我在关键帧素材准备面板里，主体候选应该怎么编辑/删除；主体资产包怎么生成；场景图怎么基于主体去除、换风格、审核、复制到分镜。”

改 Storyboard 节点

@@ -841,13 +841,26 @@ SubjectAsset {
-

2026-05-14 · 关键帧素材面板右侧改为紧凑状态栏

+

2026-05-14 · 场景图改为主体资产之后生成

+ FrameLightbox + API +
+
+

问题：场景图如果先于主体资产生成，只能做普通背景清理，无法准确知道要移除哪个主体，也不利于后续生成相似但不同或同构换风格的场景。

+

改动：FrameLightbox 页签顺序改为“原图/清洗 → 主体资产 → 场景图 → 审核”；画面工作台缩略图和进度文案也同步为主体资产先于场景图。场景图页新增“去主体原场景 / 相似新场景 / 同构换风格”和风格选择，且在没有主体资产时提示先生成主体资产。

+

后端：generateSceneAsset 请求新增 scene_mode 和 scene_style；后端提示词会优先读取已生成主体资产对应的主体名称，生成去主体并补背景的场景图，再按模式决定是否做相似变化或风格变化。

+

影响：web/components/lightbox.tsx、web/components/nodes/index.tsx、web/lib/api.ts、api/main.py、docs/source-analysis.html。

+
+
+
+
+

2026-05-14 · 关键帧素材面板统一右侧操作栏

FrameLightbox Layout
-

问题：移除旧元素提取和手工加主体入口后，关键帧详情右侧内容变少，继续占用大列会压缩左侧主图和清洗操作区。

-

改动：FrameLightbox 在“原图/清洗、场景图、审核”页把右侧改成固定窄状态栏，左侧主图和操作区获得更大宽度；“主体资产”页仍保留较宽右栏，用于主体识别、主体清单和资产包。

+

问题：“原图/清洗、场景图、主体资产、审核”都应遵循同一结构：左侧负责看图和框选，右侧负责操作、状态和结果；旧布局把部分操作塞在左侧下方，导致左侧满、右侧空。

+

改动：FrameLightbox 统一为左侧主图、右侧操作栏。清洗按钮、批量清洗、清洗结果预览、场景图生成/复制、主体识别/主体资产包和审核状态都在右侧；切换到非清洗页时会退出框选模式，避免画框状态残留。

影响：web/components/lightbox.tsx、docs/source-analysis.html。

diff --git a/web/components/lightbox.tsx b/web/components/lightbox.tsx index ff40d00..961d44b 100644 --- a/web/components/lightbox.tsx +++ b/web/components/lightbox.tsx @@ -6,7 +6,7 @@ import { frameUrl, cleanedFrameUrl, apiAssetUrl, describeFrame, cleanupFrame, applyCleanedFrame, discardCleanedFrame, addElement, updateElement, deleteElement, generateSceneAsset, generateSubjectAssets, - type AssetBackground, type AssetSize, type KeyFrame, type Job, type ImageRef, type SubjectKind, + type AssetBackground, type AssetSize, type KeyFrame, type Job, type ImageRef, type SceneMode, type SceneStyle, type SubjectKind, } from "@/lib/api" import { toast } from "sonner" @@ -51,11 +51,25 @@ type LightboxTab = "clean" | "scene" | "subject" | "review" const LIGHTBOX_TABS: Array<{ key: LightboxTab; label: string }> = [ { key: "clean", label: "原图/清洗" }, - { key: "scene", label: "场景图" }, { key: "subject", label: "主体资产" }, + { key: "scene", label: "场景图" }, { key: "review", label: "审核" }, ] +const SCENE_MODE_OPTIONS: Array<[SceneMode, string]> = [ + ["remove_subject", "去主体原场景"], + ["similar", "相似新场景"], + ["style", "同构换风格"], +] + +const SCENE_STYLE_OPTIONS: Array<[SceneStyle, string]> = [ + ["source", "跟随原图"], + ["premium_product", "高端产品感"], + ["clean_studio", "干净工作室"], + ["warm_lifestyle", "真实生活感"], + ["cinematic", "电影感"], +] + export function FrameLightbox({ jobId, frames, activeIndex, selected, onClose, onChange, onToggleSelect, onJobUpdate, onSwitchPanel, onCopyImage, embedded = false }: Props) { const [describing, setDescribing] = useState(false) const [cleaningFrameIds, setCleaningFrameIds] = useState>(new Set()) @@ -65,6 +79,8 @@ export function FrameLightbox({ jobId, frames, activeIndex, selected, onClose, o const [sceneGenerating, setSceneGenerating] = useState(false) const [subjectGenerating, setSubjectGenerating] = useState(null) const [assetSize, setAssetSize] = useState("source") + const [sceneMode, setSceneMode] = useState("remove_subject") + const [sceneStyle, setSceneStyle] = useState("source") const [subjectKinds, setSubjectKinds] = useState>({}) const [subjectBackgrounds, setSubjectBackgrounds] = useState>({}) const [subjectViews, setSubjectViews] = useState>({}) @@ -124,6 +140,7 @@ export function FrameLightbox({ jobId, frames, activeIndex, selected, onClose, o const selectedFrameIndices = Array.from(selected).sort((a, b) => a - b) const sharedSubjectFrameIndices = selectedFrameIndices.length > 1 ? selectedFrameIndices : [f.index] const subjectAssetCount = elements.reduce((sum, item) => sum + (item.subject_assets?.length ?? 0), 0) + const hasSubjectAssets = subjectAssetCount > 0 const qualityWarnings = [ ...(f.quality_report?.warnings ?? []), ...(latestSceneAsset?.quality_report?.warnings ?? []), @@ -197,9 +214,14 @@ export function FrameLightbox({ jobId, frames, activeIndex, selected, onClose, o } const handleGenerateSceneAsset = async () => { + if (!hasSubjectAssets) { + setActiveTab("subject") + toast.message("先生成主体资产，再生成去主体场景图") + return + } setSceneGenerating(true) try { - const updated = await generateSceneAsset(jobId, f.index, { size: assetSize }) + const updated = await generateSceneAsset(jobId, f.index, { size: assetSize, scene_mode: sceneMode, scene_style: sceneStyle }) onJobUpdate?.(updated) toast.success(`分镜 ${f.index + 1} 场景图已生成`) } catch (e) { @@ -406,7 +428,15 @@ export function FrameLightbox({ jobId, frames, activeIndex, selected, onClose, o ))}
- {latestSceneAsset ? "场景已生成" : "场景待生成"} + {hasSubjectAssets ? `${subjectAssetCount} 主体资产` : "主体待生成"} · - {subjectAssetCount > 0 ? `${subjectAssetCount} 主体资产` : "主体待生成"} + {latestSceneAsset ? "场景已生成" : "场景待生成"}
- {/* 主体 — 左：大图 + 主操作；右：当前页上下文 / 主体资产 */} + {/* 主体 — 左：主图；右：当前页操作 / 状态 / 主体资产 */}
{/* 左侧大图区 */}
@@ -650,11 +676,50 @@ export function FrameLightbox({ jobId, frames, activeIndex, selected, onClose, o
+
+ 先根据主体资产确认要移除的主体，再补全空场景；之后可生成相似新场景或同构换风格场景。 +
+
+ + +
+ {!hasSubjectAssets && ( +
+ 还没有主体资产。先在“主体资产”页生成主体图，场景图才能更准确地去主体和补背景。 +
+ )} {latestSceneAsset ? (
{latestSceneAsset.label}
- {latestSceneAsset.width}×{latestSceneAsset.height} + + {latestSceneAsset.width}×{latestSceneAsset.height} + {latestSceneAsset.scene_mode && ( + <> · {SCENE_MODE_OPTIONS.find(([value]) => value === latestSceneAsset.scene_mode)?.[1] ?? latestSceneAsset.scene_mode} + )} + {onCopyImage && ( + {!hasSubjectAssets && ( + + )} )} {activeTab === "review" && ( @@ -697,10 +771,6 @@ export function FrameLightbox({ jobId, frames, activeIndex, selected, onClose, o
清洗
{f.cleaned_applied ? "已应用" : hasCleaned ? "待确认" : "未处理"}
-
-
场景
-
{latestSceneAsset ? "已生成" : "未生成"}
-
0 ? "border-violet-300/35 bg-violet-500/12 text-violet-100" : "border-white/10 bg-black/25 text-white/55"}`}>
主体
{elements.length} 个
@@ -709,6 +779,10 @@ export function FrameLightbox({ jobId, frames, activeIndex, selected, onClose, o
资产
{subjectAssetCount} 张
+
+
场景
+
{latestSceneAsset ? "已生成" : "未生成"}
+
{qualityWarnings.length > 0 ? (
@@ -722,7 +796,7 @@ export function FrameLightbox({ jobId, frames, activeIndex, selected, onClose, o
)}
- 审核通过后，把场景图和主体资产复制到分镜槽位；当前不会自动覆盖素材。 + 审核通过后，把主体资产和场景图复制到分镜槽位；当前不会自动覆盖素材。
)} diff --git a/web/components/nodes/index.tsx b/web/components/nodes/index.tsx index 4ea3cda..1764da4 100644 --- a/web/components/nodes/index.tsx +++ b/web/components/nodes/index.tsx @@ -1257,18 +1257,6 @@ export function VisualLabNode({ data, selected }: any) { borderClass: f.quality_report?.risk === "bad" ? "border-rose-300/70" : f.quality_report?.risk === "warn" ? "border-amber-300/70" : "border-orange-300/50", aspect, })) : []), - ...sceneAssets.map((p) => ({ - id: `scene:${p.frameIdx}:${p.assetId}`, - kind: "scene" as const, - group: "场景图", - frameIdx: p.frameIdx, - assetId: p.assetId, - src: p.src, - label: p.label, - caption: `${p.width}×${p.height}`, - borderClass: p.risk === "bad" ? "border-rose-300/70" : p.risk === "warn" ? "border-amber-300/70" : "border-emerald-300/60", - aspect: p.width && p.height ? `${p.width}/${p.height}` : aspect, - })), ...subjectAssets.map((p) => ({ id: `subject:${p.frameIdx}:${p.assetId}`, kind: "subject" as const, @@ -1281,6 +1269,18 @@ export function VisualLabNode({ data, selected }: any) { borderClass: "border-violet-300/65", aspect: p.width && p.height ? `${p.width}/${p.height}` : "1/1", })), + ...sceneAssets.map((p) => ({ + id: `scene:${p.frameIdx}:${p.assetId}`, + kind: "scene" as const, + group: "场景图", + frameIdx: p.frameIdx, + assetId: p.assetId, + src: p.src, + label: p.label, + caption: `${p.width}×${p.height}`, + borderClass: p.risk === "bad" ? "border-rose-300/70" : p.risk === "warn" ? "border-amber-300/70" : "border-emerald-300/60", + aspect: p.width && p.height ? `${p.width}/${p.height}` : aspect, + })), ...videos.map((v, i) => { const videoSrc = apiAssetUrl(v.url) const posterSrc = apiAssetUrl(v.poster_url) @@ -1556,19 +1556,6 @@ export function VisualLabNode({ data, selected }: any) {
关键帧素材
-
主体资产
+
) diff --git a/web/lib/api.ts b/web/lib/api.ts index 7a1cea2..1de94e6 100644 --- a/web/lib/api.ts +++ b/web/lib/api.ts @@ -139,6 +139,8 @@ export type AssetBackground = "white" | "black" export type AssetSize = "source" | "1024" | "1536" | "2048" export type SubjectKind = "object" | "living" export type SubjectView = string +export type SceneMode = "remove_subject" | "similar" | "style" +export type SceneStyle = "source" | "premium_product" | "clean_studio" | "warm_lifestyle" | "cinematic" export interface QualityReport { width: number @@ -157,6 +159,8 @@ export interface SceneAsset { height: number quality: "hd" size: AssetSize + scene_mode?: SceneMode + scene_style?: SceneStyle quality_report?: QualityReport | null created_at: number } @@ -653,12 +657,17 @@ export async function cutoutElement(jobId: string, frameIdx: number, elementId: export async function generateSceneAsset( jobId: string, frameIdx: number, - body: { size?: AssetSize } = {}, + body: { size?: AssetSize; scene_mode?: SceneMode; scene_style?: SceneStyle } = {}, ): Promise { const res = await fetch(`${API_BASE}/jobs/${jobId}/frames/${frameIdx}/scene-asset`, { method: "POST", headers: { "Content-Type": "application/json" }, - body: JSON.stringify({ quality: "hd", size: body.size ?? "source" }), + body: JSON.stringify({ + quality: "hd", + size: body.size ?? "source", + scene_mode: body.scene_mode ?? "remove_subject", + scene_style: body.scene_style ?? "source", + }), }) if (!res.ok) { const txt = await res.text().catch(() => "")