InkRoom
InkRoom
공개 프롬프트信息图设计

图像生成案例图

✓원본 텍스트는 공개적으로 읽을 수 있습니다.수정일:
GPT 7.1/10
图像生成案例图프롬프트 렌더링
렌더링은 참조용일 뿐이며 실제 결과는 모델, 입력 자료 및 생성 매개변수에 따라 달라집니다.

전체 프롬프트

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[CORE TASK] Transform the provided input image into a pose-and-light analysis sheet. This is NOT a finished character illustration. This is NOT a clothing sheet. This is NOT a beauty-preserving redraw. This is a white-line rough mannequin conversion. [PRIMARY GOAL] Extract and visualize only: - pose structure - body balance - camera angle - body line flow - inferred light source placement - illuminated areas and light intensity [INPUT ROLE] Use the provided image as the strict anchor for: - pose - camera angle - body tilt - weight distribution - approximate lighting situation Do NOT preserve: - face rendering - hairstyle rendering - clothing detail - accessories - weapon detail - background architecture - character identity - emotional expression [FIGURE CONVERSION] single rough mannequin-like human figure white body contour lines white internal construction lines simple mannequin head no face no eyes no mouth no eyelashes no personality no individual identity human figure should look like: - rough pose mannequin - anatomy proxy - line-based body guide - structural sketch - white-line rough dummy keep: - pose readability - silhouette flow - head tilt - torso direction - pelvis direction - limb placement [BACKGROUND] pure black background negative-style dark field no scenery no props no architecture no environmental storytelling [LINE STYLE] rough white line drawing clean but sketch-like construction-line feeling anatomy guide lines visible joint flow visible body contour emphasized no polished illustration finish [LIGHT ESTIMATION] predict the likely light source positions from the input image visualize the light sources and illuminated areas using green glow only use green light intensity with variation: - strongest green where the light directly hits - medium green for wrap light - soft green for reflected or fading light mark the estimated light sources with labels and arrows such as: - Main Light - Rim Light - Fill Light - Floor Bounce - Back Light only if appropriate IMPORTANT: do not invent random lights infer lighting from the original input image if the lighting is ambiguous, keep the annotations simple and plausible [GREEN LIGHT VISUALIZATION] show green glow on: - head / skull plane - neck - shoulders - chest plane - ribcage direction - pelvis edge - thigh planes - knee contact points - floor contact bounce if applicable use green light not as decoration, but as lighting analysis information [POSE PRIORITY] 1. preserve pose structure 2. preserve camera angle 3. preserve body balance 4. preserve head-torso relationship 5. visualize likely light direction 6. show illuminated areas with readable green intensity variation [NEGATIVE] finished person, cute girl, detailed face, hair rendering, clothing rendering, weapon emphasis, beautiful anatomy

생성된 후 모델, 매개변수 및 참조 자료를 조정할 수 있습니다.

프롬프트 사용 →

먼저 미리 채운 다음 생성을 확인합니다. 실제 비용은 생성 페이지에 따라 다릅니다.

GPT 평가

종합평가
7.1 / 10

GPT-6.1-sol

창의적 참고를 위한 AI 콘텐츠 평가

Model: GPT-6.1-sol 종합평가: 7.1 / 10 프롬프트 품질: 8.4 / 10 그림 표현: 7.6 / 10 이미지 및 텍스트 일관성: 5.4 / 10 案例具备清晰的姿态与光照分析表达,但示例图违背纯黑背景和粗略线框要求,建议修正视觉样式并核验原图光照后再上线。

프롬프트 품질8.4 / 108.4
그림 표현7.6 / 107.6
이미지 및 텍스트 일관성5.4 / 105.4

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