seaislee1209andClaude Opus 4.8
6464001f84
- 后端·可插拔 Provider 层:通用 OpenAICompatibleProvider(tokenssr 等中转站,base_url+api_key,零改代码换站)+ ModelProvider.api_key - 后端·脚本 agent:结构化 ScriptDraft 契约 + 加载电商 skill + 出稿/改稿一体对话 agent(3模式/多模型)+ 流式 SSE 端点(DRF SSE renderer) - 后端·图像:gpt-image-2 参考图出图 + 故事板 @图1@图2@图3 多锚点合成(锁脸锁商品);Seedance 打开 generate_audio - 后端·模特库:gpt-image-2 生成器(9:16氛围图→16:9白底三视图)+ seed_demo_models 管理命令 - DB·迁移:tokenssr 中转站 + 多模型 seed(豆包/GPT-5.5/Gemini + gpt-image-2);ScriptSegment 结构化字段 - 前端·脚本趴:接真 SSE(工具卡 + 思考流)+ 模型下拉 + 3模式 + 改稿;agentScriptStream - skills/ecommerce-video-script 电商脚本技能(运行时依赖) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
93 lines
4.0 KiB
Python
93 lines
4.0 KiB
Python
"""模特库生成:用 gpt-image-2 预生成电商真人模特。
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流程(与用户定的 SOP 一致):
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1) 先出 9:16 竖屏氛围正面图(image_generation);
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2) 以正面图为参考,出 16:9 白底三视图(image_edit,提示词锁角色一致性)。
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两张都落 TOS,存为 person 类 Asset(metadata.kind="model"),进模特库/资产库。
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可被管理命令(seed_demo_models)或后端业务复用。模型走默认 image 模型(当前 = tokenssr:gpt-image-2)。
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"""
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from __future__ import annotations
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import uuid
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from io import BytesIO
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from apps.ai.models import ModelConfig
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from apps.ai.services import _asset_preview_url, build_provider, get_default_model
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from apps.assets.models import Asset, AssetFile
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from apps.assets.storage import TosStorage
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THREE_VIEW_PROMPT = (
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"参考图1角色，生成角色三视图，从左往右依次为：胸像特写，全身正面，全身侧面，全身背面，白色背景"
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)
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def _store_model_asset(*, team, user, media: str, name: str, brief: str, view: str) -> Asset:
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"""把生成的图片(url/base64)落 TOS,存为 person 类模特资产(非项目维度)。"""
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from apps.ai.providers import VolcanoArkProvider # media_to_bytes 复用
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fileobj, content_type = VolcanoArkProvider.media_to_bytes(media)
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suffix = ".png"
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if "jpeg" in (content_type or ""):
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suffix = ".jpg"
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elif "webp" in (content_type or ""):
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suffix = ".webp"
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asset_id = uuid.uuid4()
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object_key = f"teams/{team.id}/models/{asset_id}{suffix}"
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raw = fileobj.getvalue()
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stored = TosStorage().upload_fileobj(fileobj=BytesIO(raw), object_key=object_key, content_type=content_type or "image/png")
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asset = Asset.objects.create(
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id=asset_id,
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team=team,
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created_by=user,
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name=name,
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asset_type=Asset.Type.IMAGE,
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source=Asset.Source.AI_GENERATED,
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category=Asset.Category.PERSON,
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metadata={"kind": "model", "brief": brief, "view": view},
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)
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AssetFile.objects.create(
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asset=asset,
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object_key=stored.object_key,
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bucket=stored.bucket,
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content_type=stored.content_type,
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size_bytes=stored.size_bytes,
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is_primary=True,
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)
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return asset
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def generate_model(*, team, user, brief: str, name: str | None = None) -> dict:
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"""生成一个电商模特(9:16 氛围正面图 + 16:9 白底三视图)。返回 {"frontal":Asset,"three_view":Asset}。"""
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model_config = get_default_model(ModelConfig.Capability.IMAGE)
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if model_config is None:
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raise ValueError("没有可用的图像模型(image capability)")
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provider = build_provider(model_config)
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if not hasattr(provider, "image_edit"):
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raise ValueError(f"当前图像模型 {model_config.provider.name}:{model_config.name} 不支持参考图三视图(image_edit)")
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label = name or brief[:16]
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# 1) 9:16 氛围正面图
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frontal_prompt = f"{brief}，电商真人模特,9:16竖屏氛围正面半身,自然妆容,柔和影棚光,真实质感,单人,简洁背景"
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resp = provider.image_generation(model=model_config.name, prompt=frontal_prompt, size="1024x1536")
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frontal = _store_model_asset(
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team=team, user=user, media=provider.extract_first_media_url(resp),
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name=f"{label}·正面氛围", brief=brief, view="frontal",
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)
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# 2) 16:9 白底三视图(以正面图为参考,锁角色一致性)
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frontal_url = _asset_preview_url(frontal)
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resp2 = provider.image_edit(model=model_config.name, prompt=THREE_VIEW_PROMPT, images=[frontal_url], size="1536x1024")
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three_view = _store_model_asset(
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team=team, user=user, media=provider.extract_first_media_url(resp2),
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name=f"{label}·三视图", brief=brief, view="three_view",
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)
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return {"frontal": frontal, "three_view": three_view}
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# 演示用默认模特画像(电商常用人设)
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DEFAULT_MODEL_BRIEFS = [
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"26岁都市白领女性,知性温柔,黑色及肩直发,米色针织衫",
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"30岁阳光运动男性,短发,健康肤色,浅灰色休闲卫衣",
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"22岁元气学生女生,马尾,清透妆,浅蓝色衬衫",
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]
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