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This is hypnotizing 😵 Great anatomy study using Zbrush from Character Director at Santa Monica Studio, Glauco Longhi! Source: #agorastudio #framebyframe #animation #animator #reference #resource #anatomy

18,399 görüntüleme • 1 yıl önce •via X (Twitter)

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Created with Google Flow Character Sheet Prompt : Create a professional, ultra-photorealistic CHARACTER CONSISTENCY SHEET using the uploaded reference image as the ONLY source for the character's identity. IMPORTANT — IDENTITY LOCK: The uploaded reference image is the definitive identity reference. Reproduce the EXACT SAME PERSON throughout the entire character sheet. Do NOT redesign, beautify, reinterpret, or replace the character. Preserve with maximum accuracy: - exact facial identity - facial structure and proportions - eyes, eye shape and iris color - eyebrows and natural brow shape - nose shape and proportions - lips, mouth shape and fullness - cheeks, jawline and chin - skin tone and natural skin texture - age appearance - hairline - exact hair color, length, texture and hairstyle - body proportions and physique - distinctive facial characteristics CHARACTER SHEET LAYOUT: Create one clean, professional reference-board image containing: 1. LARGE FRONT PORTRAIT / FACE CLOSE-UP 2. FRONT VIEW 3. 3/4 LEFT VIEW 4. 3/4 RIGHT VIEW 5. LEFT PROFILE 6. RIGHT PROFILE 7. BACK VIEW 8. FULL-BODY FRONT VIEW 9. FULL-BODY 3/4 VIEW 10. FULL-BODY SIDE VIEW 11. FULL-BODY BACK VIEW 12. NEUTRAL EXPRESSION 13. NATURAL SMILE 14. SOFT SMILE 15. LOOKING LEFT 16. LOOKING RIGHT 17. EYE CLOSE-UP 18. EYEBROW CLOSE-UP 19. NOSE CLOSE-UP 20. LIPS CLOSE-UP 21. HAIR CLOSE-UP 22. ACCESSORIES CLOSE-UP 23. OUTFIT / CLOTHING REFERENCE 24. COLOR PALETTE / SKIN-TONE REFERENCE CONSISTENCY: Every panel must show the SAME person. Keep facial identity, proportions, hairstyle, skin tone and physical characteristics consistent across every angle, pose and expression. For views not clearly visible in the reference, intelligently reconstruct the character while staying strictly faithful to the visible reference. Do not invent major distinguishing features. PRESENTATION: Premium professional film-production character bible / modeling reference sheet. Clean editorial layout. Neutral studio background. Soft realistic studio lighting. Sharp facial details. Natural skin pores and texture. Individual hair strands. Realistic fabric and accessories. Accurate human anatomy. Consistent camera perspective. Clean thin borders between panels. Professional labels underneath each view. Minimal elegant typography. High-end fashion/model reference aesthetic. PHOTOREALISM: Ultra-photorealistic. Real human appearance. Natural skin texture. Realistic eyes. Physically accurate hair. Natural shadows. Realistic proportions. No CGI appearance. No plastic skin. No doll-like face. No artificial beauty-face replacement. NEGATIVE PROMPT: different person, different face, face morphing, identity drift, altered facial structure, different eyes, different nose, different lips, different jawline, different skin tone, different hairstyle, inconsistent body proportions, duplicate person, distorted anatomy, asymmetrical face, plastic skin, waxy skin, CGI, 3D render, cartoon, anime, illustration, over-beautification, excessive makeup, unrealistic eyes, blurry face, low detail, extra fingers, missing fingers, malformed hands, bad anatomy. OUTPUT: One complete, highly detailed professional CHARACTER CONSISTENCY SHEET in a single image, suitable as a master reference for generating consistent images and videos of this character.

M. Asif

77,680 görüntüleme • 5 gün önce

📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.

Zentrix⌚️

14,015 görüntüleme • 2 ay önce

THE DEPTH MAP TRICK THAT FIXED DANCE ACCURACY IN SEEDANCE 2.0 Feed the model a video of someone dancing and it tries to interpret everything- the person, the clothes, the lighting, the room, and somewhere in there, the movement. Feed it a depth map and there's nothing left to interpret but the motion. Most creators trying to transfer a dance to a character reference the source footage directly, then wonder why the choreography drifts. The problem isn't the model - it's that you handed it ten variables when you only wanted one. Here's the workflow 1. Lock the character reference in GPT Image 2 first -face, build, costume, so identity holds independently of whatever motion gets applied to it 2. Convert the source dance footage into a depth map instead of using the raw video -this strips out the original performer's appearance, clothing, and environment entirely 3. Feed the depth map as the motion reference and the character sheet as the identity reference- two separate inputs doing two separate jobs, not one input trying to do both 5. Let the depth map carry only spatial movement -the model receives body position and momentum with no competing information about who's moving or what they look like 6. Keep the character and motion inputs isolated throughout - the moment you mix appearance data into the motion reference, the model starts negotiating between two identities Why this works • Raw footage passes the model everything at once- performer, wardrobe, room, lighting -and the choreography competes with all of it for attention • A depth map is pure spatial information, so the only thing left to transfer is movement • Separating identity from motion means the character can stay locked while the dance stays accurate - normally you're trading one for the other • The accuracy gain isn't the model getting better, it's the model getting fewer decisions to make Use cases: ⁃ Dance and choreography transfer onto original characters ⁃ Motion capture-style workflows without motion capture ⁃ Any sequence where a specific movement needs to survive intact ⁃ Character showcase content built on existing performance footage The character sheet answers who's dancing. The depth map answers how - and keeping those two questions separate is the whole trick.

Nexlow

85,895 görüntüleme • 2 ay önce