人物角色 / PROMPT
插画艺术创作图
从公开案例收录的人物角色提示词,适合参考其画面结构、风格控制和细节描述。
适用模型GPT Image 2
已实测灵感来源于 awesome-gpt-image-2 案例 123;当前提示词与效果图由 Fastgoing 使用 GPT Image 2 实测重新制作。
完整提示词COPY / USE
{
"type": "anime character reference sheet",
"character": {
"name": "{argument name=\"character name\" default=\"真田大助\"}",
"appearance": "young warrior with long brown hair, wearing samurai-inspired armor, {argument name=\"main color\" default=\"red\"} chest plate and guards, {argument name=\"secondary color\" default=\"navy blue\"} pleated hakama, white short cape"
},
"layout": {
"header": {
"title": "{argument name=\"character name\" default=\"真田大助\"}",
"subtitle": "{argument name=\"character concept\" default=\"戦国時代を舞台にした物語の主人公。日英クォーターの若き武将。\"}",
"badge": "設定資料"
},
"right_side": {
"main_portrait": "large full-body standing pose, confident smile",
"background_elements": {
"emblem": "six-coin crest",
"quote": "{argument name=\"catchphrase\" default=\"この国を守る。その誇りと共に。\"}",
"scenery": "monochrome Japanese castle with army banners at the bottom right"
}
},
"sections": [
{
"title": "プロフィール",
"position": "top-left",
"content": "table with 6 rows and descriptive text"
},
{
"title": "三面図",
"position": "mid-left",
"count": 3,
"labels": ["正面", "側面", "背面"]
},
{
"title": "表情差分",
"position": "top-center",
"count": 6,
"labels": ["通常", "微笑み", "真剣", "怒り", "驚き", "考え中"]
},
{
"title": "衣装・装備詳細",
"position": "bottom-left",
"count": 9,
"labels": ["胸当て", "肩当て", "腕甲(籠手)", "脚甲(脛当て・膝当て)", "革靴", "白マント(短)", "帯", "袴/着物部分", "打刀"]
},
{
"title": "カラーパレット",
"position": "bottom-center",
"count": 8,
"labels": ["真田赤", "濃紺", "金", "白", "茶", "茶褐色", "肌色", "銀"]
},
{
"title": "世界観",
"position": "bottom-center-right",
"content": "paragraph of text describing the setting"
}
]
}
}复制后,可参考下方“建议替换”项目改成你的主题;带【方括号】的内容请优先替换。
PROVENANCE / 来源与验证
它从哪里来,是否完成实测?
灵感来源于 awesome-gpt-image-2 案例 123;当前提示词与效果图由 Fastgoing 使用 GPT Image 2 实测重新制作。
GPT Image 2 · 2026-08-19 实测HOW TO USE
不用学提示词工程,也能改成自己的。
建议替换
01【"正面", "側面", "背面"】02【"通常", "微笑み", "真剣", "怒り",】03【"胸当て", "肩当て", "腕甲(籠手)", 】04【"真田赤", "濃紺", "金", "白", "】使用小贴士
先只替换变量跑一次,观察最不符合预期的部分;第二轮只补充那一项约束,通常比一次塞进很多要求更稳定。
