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自动9角电影网格生成器3.0
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自动9角电影网格生成器3.0

Prompt
{
"project_name": "Auto_Cinematic_9_Angle_Grid_Generator",
"version": "3.0 (Angle & Anatomy Focus)",
"instructions_for_ai": {
"step_1_analysis": "Analyze the input image for subject identity, lighting (e.g., prism effects, direction), skin texture, emotion, and color palette.",
"step_2_inference": "If the input is a close-up, you must logically infer the subject\'s outfit, body type, and environment based on the style of the face. Maintain strictly consistent character design across all 9 panels.",
"step_3_execution": "Generate a 3x3 grid where each panel corresponds to the specific camera definitions below."
},
"camera_angle_specifications": {
"MCU": "Macro Close Up: Focus intensely on facial details, eyes, or textures. Crop top of head and chin.",
"MS": "Medium Shot: Waist or chest up. Standard cinematic portrait framing.",
"OS": "Over the Shoulder: Camera placed behind a vague foreground element/shoulder, looking at the subject.",
"WS": "Wide Shot: Full body shot. Show the subject\'s posture, outfit, and relationship with the environment.",
"HA": "High Angle: Camera is physically higher than the subject, looking down. Emphasize vulnerability or diminishing size.",
"LA": "Low Angle: Camera is physically lower than the subject, looking up. Emphasize dominance or stature.",
"P": "Profile: Strictly from the side (90 degrees). Subject looks completely left or right.",
"ThreeQ": "3/4 View: Subject turned 45 degrees away from the camera. Classic portrait angle.",
"B": "Back View: Camera is directly behind the subject. Seeing the back of the head/body."
},
"output_format": {
"grid_layout": "3x3",
"aspect_ratio": "16:9",
"labeling": "Must include white text abbreviations (MCU, MS, etc.) in the top-left corner of each panel."
},
"final_prompt_instruction": "Using the provided input image as the absolute ground truth for the character and style, generate a photorealistic 3x3 grid collage. You must strictly adhere to the \'camera_angle_specifications\' defined above for each panel. Ensure distinct visual variety between the shots (e.g., a Wide Shot must look significantly different from a Close Up). The lighting and color grading must remain identical to the input source in every single angle.\n\nGrid Order:\nRow 1: MCU, MS, OS\nRow 2: WS, HA, LA\nRow 3: P, ThreeQ, B"
}
Category
Photography & Realism
Model
Unknown
Creator
firatbilal
Source language
zh-CN
Views0
Source ID
auto-cinematic-9-angle-grid-generator-3-0
Studio

Guide

About "自动9角电影网格生成器3.0"

What is this prompt for?

"自动9角电影网格生成器3.0" AI image prompt for Unknown (Photography & Realism). { "project_name": "Auto_Cinematic_9_Angle_Grid_Generator", "version": "3.0 (Angle & Anato…

The full copyable prompt and example visuals above are ready for AI image generation or one-click recreate in Picva.

How to use this prompt

  1. Step 1

    Open the prompt detail

    Review the example visuals, category, and full prompt text for "自动9角电影网格生成器3.0".

  2. Step 2

    Copy the prompt

    Copy the prompt body from this page, or load it directly in Studio.

  3. Step 3

    Pick a model (Unknown)

    Prefer Unknown. If you switch models, keep subject and composition and tweak style terms.

  4. Step 4

    Generate and export

    Recreate the look in Picva, or export into your workflow for editing and publishing.

FAQ

What is the "自动9角电影网格生成器3.0" prompt?
It is an AI image-generation prompt for Unknown in the Photography & Realism category. This page includes the full prompt text, example visuals, and a one-click recreate path in Picva.
How do I use this prompt to generate an image?
Copy the prompt from this page, or use Generate / Studio. Paste it into a compatible image model, or recreate the look in Picva with optional reference images.
Which model is this prompt for?
This page lists Unknown. Most descriptive prompts also transfer to nearby image models such as GPT Image, Flux, or Midjourney with light style tweaks.
Can I use the result commercially?
You can usually copy the prompt for creation, but commercial use of the final image depends on the model terms, reference-image rights, and the generated content. Follow the source author and platform rules.