Prompt de Transform the uploaded imagen into a high contrast monochrome…

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This template is for Transform the uploaded image into a high-contrast monochrome particle-render aes Confirm the input, output ratio, and publishing context before you generate.

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Output planning: video or motion output; aspect ratios: set by the tool.

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Transform the uploaded image into a high-contrast monochrome particle-render aesthetic. Subject reconstructed entirely from thousands of tiny glowing white dots and voxel-like particles on a pure black background. Use point-cloud dispersion, volumetric particles, halftone density gradients, and scattered noise trails to define the silhouette. Preserve the original subject composition and pose, but simplify details into clean geometric forms. Style should feel like futuristic AI architecture visualization mixed with experimental generative art. Visual characteristics: black background only white particle clusters forming the subject subtle floating debris and dissolving particles around edges sparse orange/red accent particles (very minimal) cinematic negative space ultra minimal soft bloom glow on dense particle areas depth created through particle density abstract but recognizable silhouette no realistic textures no colors besides black, white, and tiny orange accents brutalist futuristic design aesthetic clean composition vertical poster layout slight voxel / point-cloud rendering effect high contrast generative AI art style experimental architecture visualization aesthetic Typography treatment: small thin mono-space typography placed minimally on left and right sides, similar to futuristic design posters, white text only, subtle and secondary to the artwork Rendering style: octane render, point cloud simulation, particle system render, volumetric dispersion, procedural dots, cinematic lighting, ultra detailed, abstract minimalism Negative prompt: realistic shading, painterly textures, colorful backgrounds, low contrast, photorealism, messy composition, extra objects, blur, noisy artifacts, low resolution

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