85 lines
3.5 KiB
Plaintext
85 lines
3.5 KiB
Plaintext
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# EED-EXPER-008 · 场景底板法：T2I 生底板 → I2I 放大保一致
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> HLDP://cang-ying/eererdan/experience/EED-EXPER-008
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> 耳耳蛋 ICE-GL-耳耳蛋 · PTS-VA-001-EED
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> 2026-07-10
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> 触发: 苍耳爸爸反馈 ENV-001 和 ENV-002 单张对了，但不像同一扇门的局部
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---
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HLDP://eererdan/experience/008-scene-baseboard-i2i
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├── trigger:
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│ └── ENV-004 和 ENV-002 是同一扇门的全景和特写，但独立 T2I 导致细节不一致
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├── emergence:
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│ ├── 旧: ENV-001(T2I v4) + ENV-002(T2I v4) → 两张图各自合理，但合在一起不像同一扇门
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│ ├── 经验: guanghulab/video-ai-system 里早有 D179「首帧锚定法/场景底板法」经验
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│ └── 修复: 改用 T2I 生成 ENV-001 底板 → I2I 用该底板做参考图生成 ENV-002 特写
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├── lock:
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│ ├── ⊢ ENV-001 v5 = T2I 底板
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│ ├── ⊢ ENV-002 v5 = i2i(ENV-001 v5) 局部放大
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│ ├── ⊢ 两张图：同一扇门、同一个窗、同一个液压作动器、同一个锈迹、同一种灯光
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│ └── ⊢ 从此以后：同一空间的「全景+特写」必须走底板法
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└── why: T2I 每次都随机重建整个空间。要保证局部特写和全景属于同一个世界，
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唯一的办法是用底板作为参考图，让 AI 在底板上进行局部变化。
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---
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## 方法步骤
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```
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1. 生成场景全景（T2I）
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→ 获得 ENV-001（底板图）
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2. 生成场景局部特写（I2I）
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→ 输入: ENV-001 底板图
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→ 提示词: "same exact room/door as reference, camera zooms in on X"
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→ 输出: ENV-002（同一世界的局部）
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```
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## 关键提示词写法
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I2I prompt 模板：
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```
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Same exact [scene] as the reference image. The camera is now zoomed in tightly on [target detail].
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Frame the shot to show [specific composition].
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Keep the [door/window/lighting/materials/colors] IDENTICAL to the reference image.
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```
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示例（本次 ENV-002）：
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```
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Same exact room and door as the reference image. The camera is now zoomed in tightly on THE SAME WATERIGHT BULKHEAD DOOR seen in the reference.
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Frame the shot to show the UPPER HALF of the door clearly: the small reinforced rectangular inspection port with thick glass and bolted/riveted steel frame (exactly as in the reference), and the lower portion with the door handle and the compact hydraulic actuator mounted on the door frame.
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Keep the door, window, hydraulic actuator, lighting and colors IDENTICAL to the reference image.
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```
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## 适用场景
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```
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✅ 同一扇门/一扇窗的全景 + 特写
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✅ 同一个角色的全身 + 半身/面部特写
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✅ 同一个道具的展示 + 细节特写
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✅ 同一个场景的外景 + 内景入口
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❌ 不要用于完全不同的新场景
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❌ 不要用于需要大幅改变构图/角度的镜头（会撕裂底板一致性）
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```
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## 技术参数
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- ARK API 端点: `/api/v3/images/generations`（文生图和图生图共用）
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- I2I 请求: 添加 `image: data:image/png;base64,...` 字段
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- 模型: `doubao-seedream-4-0-250828`
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- 尺寸: 建议与底板图相同（本次用 1024x1024）
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- 强度: 通过提示词控制，不使用额外的 strength 参数
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## 与旧经验的关联
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- 铸渊视频 AI 经验库（guanghulab/video-ai-system）中的「首帧锚定法」同源
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- D179 深海迷航首日已验证过此方法
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- 以后所有「同一空间的多镜头」都应优先走底板法，而不是独立 T2I
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---
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> ⊢ 耳耳蛋 ICE-GL-耳耳蛋 · PTS-VA-001-EED
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> ⊢ 苍耳 TCS-CL-0009 反馈
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> ⊢ 2026-07-10 · 国作登字-2026-A-00037559
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