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GLOBAL LOCK: 9:16 vertical tutorial Reel, one young adult male presenter in a dark studio setup speaking to camera from the lower or side portion of the frame, with warm key light on his face and deep blue-black curtain background, alternating with screen-recorded workflow panels and a photoreal subway-platform character scene. The key generated character is a young white male with short dark hair, angular face, athletic build, wearing a red collared shirt, standing in a silver subway car with a hooded man behind him. Visual system contrasts documentary-like public transit realism with clean creator tutorial UI, then expands into Higgsfield-based generation, dialogue, and animation steps. Keep strong identity consistency for the subway character, the red shirt, the hooded secondary figure, and the subway interior.

00:00-00:06
Open with the subway scene as the top visual: a young man in a red shirt stands inside a subway carriage while a hooded figure appears behind him, red arrows and captions emphasize the surprising character moment, framing feels like a candid train-platform or interior grab, cool fluorescent transit lighting, metallic poles and gray train walls visible, while the presenter below reacts and introduces the tutorial with high curiosity energy.

00:06-00:12
Cut between the same subway still and the presenter in his dark studio, the presenter points and speaks directly to camera under warm lamp-like lighting, then the subway frame returns with tighter crops on the face and hooded companion, emphasizing how the image can become the seed for an AI-driven video character workflow.

00:12-00:18
Move into early interface screens showing upload areas and image-chat style panels, then back to the presenter counting steps with his fingers, dark UI with rounded cards and purple-accented controls, the tutorial tone is methodical, introducing step-by-step processing from still image to generated story prompt.

00:18-00:25
Show a large text-generation or prompt panel filled with dense copy, then a title card for step 02, followed by examples of movie-like reference stills and selection menus, suggesting the workflow uses a cinematic reference or style-transfer stage before animation, the presenter stays centered, crisp mic audio, strong teaching cadence.

00:25-00:32
Display parameter settings, toggles, and highlighted controls, then a clean portrait version of the same male subway character on a neutral background, followed by a step 03 card and animation-focused screens, visual message is that the character identity is being formalized, restyled, and prepared for motion.

00:32-00:38
Continue with prompt-generation cards asking what the image says or what the generated character should do, then show code-like text or configuration blocks and more UI settings, the presenter explains how to convert the static photo into a fully controllable scene with dialogue and motion, maintaining tutorial authority and precise gesture timing.

00:38-00:44
Finish with Higgsfield-branded mobile-preview frames and a direct CTA to comment “AI,” while the presenter points upward and the generated portrait fills the preview area, the final message is that this exact subway-character-to-video pipeline is available as a tutorial for creators who want the same result.

NEGATIVE PROMPT: face drift between subway still and portrait outputs, broken subway geometry, warped poles, duplicate hooded figures, plastic skin, incorrect red-shirt color, soft unreadable UI text, muddy fluorescent lighting, broken hands during presenter gestures, inconsistent studio background, fake microphone shape, low-detail train interior, random passengers appearing, lip-sync mismatch, overexposed face light, caption glitches, unstable preview render.

SHOT PROMPTS:
1. Subway-car character reveal with hooded figure behind and red-shirt lead in sharp focus.
2. Warm-lit studio presenter talking directly to camera with finger-counting gestures.
3. Upload card and image-chat workflow screens.
4. Dense prompt-generation panel and step-card explanation.
5. Cinematic reference stills and style-selection interface.
6. Neutral-background portrait of the subway character for identity locking.
7. Animation and parameter setting screens.
8. Higgsfield mobile preview with comment-AI CTA.

SPEECH PACK:
Single male tutorial voice, medium-fast pace, direct social-teacher cadence, close-mic home-studio sound, clear articulation, persuasive emphasis on each numbered step. Core meaning across the reel: this strange subway image can be turned into an AI video character, here is step one, here is the prompt and style stage, here is the animation setup, and comment AI if you want the full tutorial. Presenter lips are visible in most studio shots and should sync tightly with hand-counting emphasis and CTA beats.