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Anonymous1762825719
11-11 02:03
Model Name
school student 3d model
Tags
character
rendering
realistic
Input
Prompt
🧠 Prompt: Ultra-Detailed 3D Character Generation from a Student Image Create a high-fidelity, production-ready 3D model of a school student, using the provided image as the primary visual reference. The final output should be a clean, rig-ready, and PBR-textured model optimized for both real-time rendering (Unreal Engine, Unity) and offline rendering (V-Ray, Blender Cycles). Maintain the likeness, proportions, and key visual identity of the original student while translating it into a realistic 3D representation suitable for scalable use in multiple platforms. 🎨 Artistic Direction & Stylization Aim for photorealistic fidelity with subtle stylization — slightly idealized skin smoothness and enhanced lighting response, while preserving unique facial structure, hairstyle, and uniform details. Ensure accurate age representation: proportions, posture, and facial maturity consistent with a secondary or high school student. Incorporate soft ambient subsurface scattering on skin, balanced with micro-detail normal maps for pores and fine imperfections. Preserve the natural color palette and tone from the reference, adjusting for consistent scene lighting. Avoid over-stylization (e.g., cartoonish or low-poly), but maintain optimized topology for deformation and animation. 🧩 Geometry and Topology Generate a clean, all-quad topology mesh with approximately 35k–75k polygons for real-time performance. Maintain even polygon density, with increased resolution around facial features (eyes, lips, ears) and joint areas (knees, elbows). Include separate UV islands for head, body, clothing, shoes, and accessories; ensure UVs are non-overlapping and uniformly scaled. Provide a neutral A-pose or T-pose configuration suitable for rigging and retargeting. Ensure that mesh intersections (shirt-to-pants, collar-to-neck) are cleanly merged or properly layered depending on desired render use. 🧥 Clothing & Accessories Recreate the exact school uniform from the image with accurate cloth simulation-ready topology — pleats, seams, stitching, buttons, zippers, and fabric folds should be modeled or mapped into high-resolution normal and displacement maps. Assign physically accurate materials: cotton, polyester, or wool blends based on visual inspection of the photo. Add microfiber detail maps for cloth realism (e.g., thread direction, subtle wear). Include student accessories if visible (e.g., backpack straps, ID lanyard, school shoes, wristwatch, or hair tie). 👤 Face, Hair & Anatomy Reconstruct the facial structure using accurate photogrammetry-style referencing from the given image. Ensure natural expressions, proportionate symmetry, and realism in skin deformation zones (mouth corners, nasolabial folds, eyelids). Hair should be generated as 3D geometry or groomed strand-based hair, not as a flat texture. Preserve the student’s hairstyle, color, and volume. Add fine surface details: subtle facial fuzz, eyelashes, eyebrows with individual hair clumping variation. Skin should include multi-layer PBR textures (base color, roughness, specular, subsurface, normal, displacement). 🎛️ Textures & Materials Use 4K–8K resolution textures for all main materials (skin, clothing, shoes, hair). Include Albedo/Base Color, Roughness, Metallic, Normal, AO, Height/Displacement, and Subsurface Scattering (SSS) maps. Utilize physically-based shaders compatible with major engines (Unreal, Unity HDRP, Blender Principled BSDF). Ensure that skin tone is realistic under neutral white lighting and remains consistent across multiple HDR environments. ⚙️ Rigging & Scalability Provide a human IK-compatible rig, with facial bones or blendshape setup for expression control. Maintain a scalable skeleton hierarchy compatible with standard humanoid rigs (e.g., Mixamo, Unreal Mannequin, or Rigify). Joints should be accurately placed for realistic deformation: shoulders, wrists, knees, hips, neck, and jaw. The final rig should support animation retargeting and real-time lip-sync capability for speech applications. 💡 Lighting, Rendering & Presentation Present the model in a neutral three-point lighting setup with HDRI environment reflections. Include one turntable render with orthographic and perspective views. Add AO and wireframe overlays to verify mesh cleanliness and UV consistency. Provide a reference render at 4K resolution under studio lighting, as well as one in a natural classroom or outdoor setting for contextual realism. 🧱 Technical Output Requirements Deliver files in multiple formats: .FBX, .OBJ, and .GLB for broad compatibility. Ensure all textures are PNG or EXR (non-compressed). Scene must be real-world scaled (height ≈ 1.5–1.7 meters for average student). Origin pivot should be at ground level between the feet. File should be clean, named logically, and ready for direct import into standard 3D pipelines. 🧠 Extra Enhancements (Optional) Create LOD versions (Level of Detail): LOD0 (full res), LOD1 (mid), LOD2 (low) for game optimization. Include a blendshape pack for basic emotions (smile, frown, blink, jaw open). Add dynamic cloth simulation tags (if supported) for skirt, shirt tails, or accessories. Generate basic motion test animation (walk cycle or idle breathing loop) to validate rig behavior. 🔍 Prompt Summary (Short Form for AI Input) Ultra-detailed photorealistic 3D model of a school student from a single reference image. Maintain accurate proportions, realistic materials, clean topology, rig-ready geometry, 8K PBR textures, physically accurate clothing, and strand-based hair. Optimize for Unreal/Unity/Blender. Include UV maps, LODs, and neutral A-pose. Ensure the model is scalable, animatable, and faithful to the original image likeness.
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