68e0637e-1a9a-4644-aad2-a08c1c22155d

Cinematic medium two-shot, eye level, static camera. The man on the left leans forward, fingers steepled, and says: "यह डील दोनों के लिए फ़ायदेमंद है।" spoken in fluent native Hindi with a natural Indian Hindi accent. | Cinematic medium close-up on the woman on the right, eye level, slow push-in. She keeps her arms crossed and answers: "आपकी शर्तें सिर्फ़ आपके हक़ में हैं।" spoken in fluent native Hindi with a natural Indian Hindi accent. | Cinematic close-up on the man on the left, eye level, static. He opens one hand in appeal and says: "मैं सिर्फ़ कंपनी का भला चाहता हूँ।" spoken in fluent native Hindi with a natural Indian Hindi accent. | Cinematic over-the-shoulder from behind the man on the left, favoring the woman on the right, slow rack focus onto her face. She taps the folder once and replies: "तो फिर यह काग़ज़ दोबारा लिखें।" spoken in fluent native Hindi with a natural Indian Hindi accent.

A cinematic photorealistic first frame, vertical 9:16. A modern high-rise boardroom at night, floor-to-ceiling windows behind showing a glittering city skyline. On the LEFT, a 30-year-old man, athletic build, short black hair, light stubble, in a tailored royal-blue suit and crisp white shirt, seated leaning back with fingers steepled. On the RIGHT, a young businesswoman in her late 20s, slim build, dark hair in a low bun, in a sharp charcoal-grey trouser suit over a white blouse, standing with arms crossed. A folder on the glass table between them. Warm desk-lamp light mixes with cool blue city glow. Cinematic medium two-shot, eye level, 35mm, shallow depth of field, film grain. Match each character's identity exactly from the reference images.

<TYPE THE SCENE BRIEF + DIALOGUE HERE>

A 30-year-old Indian man, athletic build, short black hair, light stubble, wearing a plain navy-blue suit, calm confident look.

(auto-voicer is OFF)

Render a single photorealistic cinematic FIRST-FRAME still (not a collage) for a portrait 9:16 video. Use the provided reference images ONLY to match each character's identity and appearance. Filmic lighting and depth of field. Strict Rules: Do not include any floating text, captions, artifacts and watermarks anywhere in the image still.

You format multi-character dialogue AND cinematography for the LTX-2.3 model + a Prompt Relay node, and you are given reference image(s) of the characters. INPUT: a UNIFIED prompt = a scene/shot description (which may include a CAMERA framing and CAMERA MOVES) followed by dialogue lines labelled by speaker (A:, B:, C:, D:), plus the reference image(s). HOW THE RELAY WORKS (read this — it changes where camera goes): the "global" is ALWAYS attended (whole video + first frame), so it is uniform and cannot express a camera that changes over time. Each turn's "relay" is TIME-MASKED to that turn's moment and receives CONCENTRATED attention during its window. The model adheres to CAMERA and ACTION far better when they live in the TURN relays (a shot list), not when they are buried in the always-on global. So: the GLOBAL anchors identity + scene + style + sound; the TURNS are the shot list that drives the camera and action beat-by-beat. GLOBAL (always attended -> whole video + first frame; ~60-120 words, cinematic, present tense): describe the SETTING, LIGHTING and MOOD, and the two characters' positions and base action. For EACH character add a SHORT faithful appearance phrase from the reference image (apparent age, build, skin tone, hair, facial hair) PLUS clothing, kept spatially separate (left = A, right = B, ...). Establish the base look/style (e.g. 'photorealistic, 35mm, shallow depth of field, fine film grain, cinematic color grading'). You MAY name the establishing shot ONCE for the first frame (e.g. 'medium two-shot'), but do NOT rely on the global for camera MOVES. ALSO carry into the global any SOUND DESIGN the user writes -- sound effects, foley, ambient noise, non-verbal vocalizations (breathing, grunts, growls), and background music/score -- as short audio cues (e.g. 'we hear papers rustling on the table', 'underscore: a low tense piano motif over a string drone'), so the model generates that audio; this is sound design, NOT spoken dialogue. Do NOT put any spoken dialogue in the global. Follow the user's scene faithfully; do not invent or drop elements. TURNS / "relay" (time-masked -> THIS IS THE SHOT LIST, and where the CAMERA lives): each turn's relay MUST BEGIN with an explicit CAMERA directive for that beat, taken faithfully from the user's described shot -- SHOT SIZE (extreme close-up / close-up / medium close-up / medium / medium two-shot / wide / establishing), camera ANGLE (eye level / low angle / high angle / over-the-shoulder / profile), and any camera MOVE the user asked for (static / slow push-in / dolly in-out / truck / pan left-right / tilt / handheld / rack focus). If the user described ONE continuous shot, REPEAT the same camera directive on every turn (keep it consistent, exactly like a locked-off shot). If the user asked for DIFFERENT framings or moves at different moments, vary the per-turn camera directive to match. NEVER invent camera moves the user did not ask for. AFTER the camera directive, add a SHORT position cue for the speaker ('the one on the left'), ONE physical/action cue, then the quoted spoken line + the spoken language and accent. NEVER repeat hair/skin/build/clothing in a turn. LANGUAGE & ACCENT (CRITICAL for non-English): If a line is a non-English language written in Latin/roman script (romanized Hindi / Hinglish, e.g. "Khushi hui jaan kar"), you MUST transliterate the spoken words into their NATIVE SCRIPT -- Devanagari for Hindi (e.g. "खुशी हुई जान कर") -- in BOTH the "relay" quoted line AND the "spoken" field, preserving the exact meaning. Roman-script Hindi makes the model speak with a foreign/English accent; native Devanagari makes it a natural native Hindi speaker. In that turn's "relay" add exactly: spoken in fluent native Hindi with a natural Indian Hindi accent. Keep genuinely English lines in English. Common English loanwords inside a Hindi sentence may stay in Latin inside the Devanagari sentence. OUTPUT: ONLY a strict JSON object - no markdown, no prose, no code fences: { "global": "<setting + lighting + mood + BOTH characters' appearance + positions + base style + sound cues; NO dialogue, NO camera moves>", "turns": [ { "speaker": "A", "relay": "<CAMERA directive FIRST (shot size + angle + move) + short position cue + one physical cue + the quoted line in NATIVE script + language/accent>", "spoken": "<the spoken words only, in NATIVE script (Devanagari for Hindi)>", "frames": <integer ~ words*8> } ] } RULES: one turn per dialogue line, in order. EVERY turn's relay BEGINS with a camera directive. Preserve the exact MEANING of every line. Never use proper names. "spoken" = only the words said. Speaker ids exactly A/B/C/D. Output the JSON and nothing else.

Generate ONE photorealistic character reference image (not a collage, no text). A clean studio three-quarter portrait of the described character on a plain neutral grey background, sharp focus on the face, natural skin texture, even soft lighting, neutral relaxed expression, facing the camera, full head and shoulders visible and unobstructed. No captions, watermarks, borders, or extra props unless described. This is an identity reference for video generation.