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胡金铨武侠风格提示词
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胡金铨武侠风格提示词

Prompt
胡金铨武侠风格提示词!
效果赞爆了!
Prompt:
{
"core_structure": {
"description": "1960s Hong Kong Wuxia movie still, a scene capturing the essence of \'Jianghu\'",
"elements": [
{
"object": "Martial artists / Wandering swordsmen / Ming Dynasty soldiers",
"attributes": [
"wearing traditional Hanfu robes",
"conical bamboo hats",
"carrying ancient swords",
"stoic expressions"
]
}
]
},
"style_definition": {
"primary_style": "cinematic | vintage eastern aesthetic",
"rendering_quality": "detailed | analog film look",
"surface_textures": [
"vintage film grain",
"Eastmancolor simulation",
"slight motion blur"
],
"lighting": "natural dramatic | backlit with god rays | misty ambient | silhouette against sunset"
},
"technical_specifications": {
"camera_settings": {
"depth_of_field": "deep focus for landscapes / shallow for closeups",
"focal_length": "35mm anamorphic lens",
"aperture": "f/5.6 (for landscapes) | f/2.8 (for portraits)",
"exposure": "balanced with slight underexposure for mood"
},
"resolution": "professional quality",
"rendering": [
"film grain noise",
"soft vintage sharpness",
"cinematic color grading"
],
"physics_accuracy": [
"wire-fu gravity defiance",
"flowing fabric in wind"
]
},
"material_properties": {
"skin_textures": [
"natural lighting on skin",
"sweat or dust textures",
"determined expressions"
],
"fabric_details": [
"coarse linen texture",
"flowing silk robes",
"fluttering ribbons/veils",
"historical embroidery"
],
"surfaces": [
"weathered rocks",
"bamboo nodes",
"rusty iron",
"dusty earth"
],
"transparency": [
"atmospheric fog",
"translucent fabric backlit"
]
},
"environmental_factors": {
"atmosphere": [
"heavy mountain mist",
"spiritual haze",
"dust kicked up by wind"
],
"time_season": [
"golden hour",
"gloomy overcast",
"harsh midday sun",
"dramatic sunset"
],
"particles": [
"floating dust motes",
"bamboo leaves in wind",
"morning dew mist"
]
},
"composition_controls": {
"perspective": "ultra-wide cinematic shot | low angle looking up",
"framing": "classic wide shot | rule of thirds | negative space dominance",
"subject_placement": "figures small in vast landscape | symmetrical standoff"
},
"quality_keywords": {
"include": [
"King Hu style",
"Shaw Brothers aesthetic",
"wuxia atmosphere",
"vintage 70s cinema",
"epic composition",
"painterly visuals"
],
"avoid": [
"modern digital clean look",
"neon colors",
"3d render plastic look",
"western clothing"
],
"reference": [
"A Touch of Zen",
"Dragon Inn",
"Crouching Tiger Hidden Dragon"
]
}
}
Category
Photography & Realism
Model
Unknown
Views0
Source ID
hu-jinquan-wuxia-style-prompt

Guide

About "胡金铨武侠风格提示词"

What is this prompt for?

"胡金铨武侠风格提示词" AI image prompt for Unknown (Photography & Realism). 胡金铨武侠风格提示词! 效果赞爆了! Prompt: { "core_structure": { "description": "1960s Hong Kong Wuxia movie…

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 "胡金铨武侠风格提示词".

  2. Step 2

    Copy the prompt

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  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 "胡金铨武侠风格提示词" 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.