9553a646-702b-48a4-b018-e956af41235b
- Queued
- Jul 12, 2026, 02:10 PM
- Completed
- Jul 12, 2026, 02:19 PM
- Execution time
- 9m 7s
- Outputs
- 5 · 6.4 MB
- Inputs
- 8
- Cached nodes
- —
Outputs
5Click an image to view it full size.
Text prompts
6Style: photorealistic cinematic corporate drama, elegant and detailed, 35mm, shallow depth of field. A sleek modern high-rise boardroom at night, floor-to-ceiling windows behind them showing a glittering city skyline. On the LEFT, a confident Indian man in his 30s in a tailored navy-blue suit with a crisp white shirt, well-groomed short black hair, sits leaning back with fingers steepled. On the RIGHT, a poised Indian woman in her early 30s in a sharp black suit, dark hair pulled back, stands with arms crossed, a folder on the glass table between them. Warm rim light from a desk lamp mixes with the cool blue glow of the city; soft reflections on the polished table. Cinematic medium two-shot, shallow depth of field, high dynamic range, fine film grain, photorealistic. Sound design, subtle and diegetic: a low ambient hum of the air conditioning, faint muffled city traffic far below, the soft tick of a wall clock, papers rustling on the table. Underscore: a slow tense piano motif over a low sustained string drone, building quietly. A: Aap jaanti hain, yeh deal dono ke liye faydemand hai. B: Faydemand? Aapki shartein sirf aapke haq mein hain. A: Main sirf company ka bhala chahta hoon, iske alawa kuch nahi. B: Toh phir yeh kaagaz dobara likhein, warna baat yahin khatam. A: Theek hai... aapki jeet. Chaliye, naye sire se shuru karte hain.
horizontal 16:9 framing, portrait crop, double faces, extra legs, extra limbs, multiple faces, overacting, excessive crying, Bollywood melodrama, smiling woman, soft romantic expression, man looking angry, cartoon, fantasy lighting, random crowd, heavy camera shake, poor lip sync, music overpowering dialogue, advertisement look, blurry, distorted, inconsistent appearance, worst quality, no captions, floating text, unnecessary artifacts
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 Note: Do not include any floating text, captions 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.
2 other text fields— sigmas, filenames, and other non-prompt strings the logger swept up
node 52 · ManualSigmas · sigmas
1.0, 0.99375, 0.9875, 0.98125, 0.975, 0.909375, 0.725, 0.421875, 0.0
node 76 · ManualSigmas · sigmas
0.85, 0.7, 0.55, 0.4, 0.25, 0.12, 0.0
Input media
8Source images and video this run consumed.
tara-cropped.jpg
node 29 · 76 KB
Indian_businessman_crop.jpg
node 33 · 50 KB
white_bg.jfif
node 49 · 4.4 KB
generated_voice_00004.mp3
node 64 · 301 KB
grok-image-dfccef6b-c58b-4c42-a36a-ec711a354d44.jpg
node 101 · 193 KB
hindi_male_2min.wav
node 126 · 4.2 MB
hindi_female_2min.wav
node 127 · 4.0 MB
hindi_female_5s.wav
node 136 · 467 KB