人物身份照片
Identity portraits
耶稣作为幸存者;女撒旦作为变成僵尸的爱人。白底照片只提供脸、头发和服装信息。
Jesus as the survivor; Female Satan as the zombified beloved. White-background portraits provide identity, hair, and wardrobe only.
一次关于 Zombie Love 生成的可复现实验:从宽泛的剧情描述,逐步改成有明确人物身份、画面轴线、僵尸妆效和逐秒摄影指令的镜头表。我们不只比较 prompt 字数,而是看模型是否真的拍出想要的镜头。
A reproducible Zombie Love generation experiment: we moved from broad story beats to explicit identity, screen direction, makeup requirements, and second-by-second cinematography. The question is not how long the prompt is, but whether the model produces the intended shots.
当只提供人物照片、不给动作参考视频时,prompt 能否控制剪辑节奏、镜头角度、人物位置,以及妆效从首次出场就清晰可见?
With character photos but no motion-reference video, can the prompt control pacing, camera language, screen position, and readable zombie makeup from first appearance?
耶稣作为幸存者;女撒旦作为变成僵尸的爱人。白底照片只提供脸、头发和服装信息。
Jesus as the survivor; Female Satan as the zombified beloved. White-background portraits provide identity, hair, and wardrobe only.
把景别、机位、动作、焦点与运镜放到时间轴上,减少模型自行补剧情的空间。
Place framing, angle, action, focus, and camera movement on a timeline to reduce room for invented beats.
完整版只输入两张人物照,不输入动作参考视频;因此它测试文字引导,不承诺逐帧复刻参考片。
The full cut uses only two portraits, no motion reference. It tests text direction, not frame-accurate imitation.
“Handheld camera, shallow depth of field…”
剧情按 0–4 / 4–6 / 6–10 / 10–15 秒分段。
“Handheld camera, shallow depth of field…”
Four broad segments: 0–4 / 4–6 / 6–10 / 10–15s.
新增:耶稣固定左、女撒旦固定右
新增:逐秒景别、方向、焦点与运镜
新增:忽略白底;首次出场即僵尸妆
Added: fixed left/right screen positions
Added: framing, direction, focus, movement per second
Added: ignore white background; zombie makeup from first appearance
“Replace the woman … with the person in the first reference image.” 结果:僵尸换成功,幸存者的原演员脸仍保留。
“Replace the woman … with the person in the first reference image.” Result: the zombie changed, but the survivor retained the source actor.
写明东亚女性、黑色长直发、棕色眼睛
要求每个镜头都完全替换原演员,特写也覆盖
仅完成 prompt 草稿,未提交生成
Specify an East Asian woman with long straight black hair and brown eyes
Require complete replacement in every shot, including close-ups
Prompt draft only; never submitted
6 秒测试中,门口与首次近景的僵尸妆较弱;裂纹皮肤和乳白眼睛不够明确。
In the 6s test, makeup read weakly in the doorway and first close-up; cracked skin and milky eyes were not clear enough.
15 个连续 1 秒镜头,并把僵尸妆效写成可检查的视觉条件;10 秒硬切至麦田,逐秒描述结尾拥抱与拉远。
15 consecutive one-second shots, with zombie makeup expressed as observable visual requirements; a hard cut to the field at 10s and shot-by-shot ending coverage.
绿色高亮 本轮新增或强化的指令new or strengthened instructions
红色文字 旧版的模糊点或已观察到的失败vague wording or observed failure
每个版本都保留原始 prompt 文件;高亮是在语义层面对照,不是逐字 diff。完整 v5 的真实输出出来后,结果区与评估会更新。
Original prompt files remain unchanged. Highlights are semantic comparisons, not a character-level diff. The results section will be updated when the full v5 render completes.
这张表把“故事应该发生什么”改成“每一秒镜头看见什么”。
This turns “what should happen” into “what the camera sees each second.”
四条视频均可直接播放,包含失败样片和成功样片。SeeAPI 失败版用参考视频换身份;Dreamina 完整版只用人物照片。
All four videos play here, including failed and successful attempts. The SeeAPI failure used a motion reference; the Dreamina full render used portraits only.
可滚动查看关键差异;全部完整 prompt 和中文翻译均保存在实验记录中。
Scroll through the key differences. Full prompts and Chinese translations are preserved in the experiment logs.
问题:镜头动作与切点仍留给模型自行解释。
Gap: camera moves and cut points remain open to interpretation.
变化:身份、左右关系、焦点和妆效变成硬约束。
Change: identity, screen direction, focus, and makeup become explicit constraints.
变化:15 个镜头拍点都有景别、角度或运镜提示。
Change: all 15 beats specify framing, angle, or camera movement.
SeeAPI v3 中僵尸身份替换成功,但幸存者在多个近景和麦田回忆里仍保留原片金发女演员;前置妆效测试也出现过原演员身份泄漏。v4 的身份覆盖改写只有草稿,尚无生成结果。
In SeeAPI v3, zombie replacement worked, but the survivor kept the source blonde actress across close-ups and the wheat-field memory. The earlier makeup-control test also leaked source identities. The stronger v4 identity-lock prompt remains an unsubmitted draft.
完整输出呈现了对峙、僵尸特写、放枪、拥抱和麦田回忆。各段顺序大体符合设计,具体镜头长度与机位仍有模型自由度。
The full output includes the standoff, zombie close-ups, gun drop, embrace, and wheat-field memory. The overall order follows the plan, while exact shot lengths and camera placement still vary.
模型:照片输入实验使用 Dreamina Seedance 2.0 Mini · 720p · 9:16。这里不是只改变 prompt 的严格 A/B:SeeAPI v3 用 MiniMax H3、768P、参考视频和两张照片;Dreamina v4 与完整 15 秒版只用人物照片。已生成版本与未提交草稿分别标明。
Model: Dreamina Seedance 2.0 Mini · 720p · 9:16 for the photo-only tests. This is not a strict prompt-only A/B: the SeeAPI v3 clip used MiniMax H3, a 768P output, a motion-reference video and two photos; the Dreamina v4 and full 15s render used portraits only. The tested and unsubmitted drafts are labeled separately.