39f9c0ab-c853-41e7-8e76-092c55910038
- Queued
- Jul 12, 2026, 04:49 PM
- Completed
- Jul 12, 2026, 04:53 PM
- Execution time
- 3m 52s
- Outputs
- 5 · 6.3 MB
- Inputs
- 8
- Cached nodes
- 27
Outputs
5Click an image to view it full size.
Text prompts
8Style: photorealistic cinematic corporate drama, 35mm, shallow depth of field, fine film grain, cool-blue and warm-amber color grading, vertical 9:16 framing. The same modern high-rise boardroom at dusk, city skyline deepening to indigo behind them. On the LEFT, a 30-year-old man, athletic build, short black hair, light stubble, wearing a tailored royal-blue suit with a crisp white shirt and no tie, now sitting forward, jaw tight. On the RIGHT, a young businesswoman in her late 20s, slim build, dark hair pulled back in a low bun, wearing a sharp charcoal-grey trouser suit over a white blouse, one hand flat on the open folder. Warm desk-lamp rim light mixes with the cool blue dusk; soft reflections on the polished glass. Sound design, subtle and diegetic: a low HVAC hum, a page turning, a pen tapping once on glass, distant muffled traffic. Underscore: the tense piano motif tightening, low strings swelling. B: [medium close-up on the one on the right, eye level, slow push-in] "Your last three investments failed for the same reason. You bought the product, not the person." A: [close-up on the one on the left, eye level, subtle handheld] "Careful. That's my track record you're describing." B: [over-the-shoulder from behind the one on the left, favoring the one on the right, static] "It's also why you're still listening." A: [tight medium two-shot, eye level, slow pan left to right] "Sit down. You just earned your four minutes back."
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 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.
4 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
node 134 · ShowText · displayed_text
```json { "global": "A modern high-rise boardroom at dusk, with floor-to-ceiling windows behind them showing a hazy city skyline going gold. Warm desk-lamp rim light mixes with the cool blue dusk from the windows, casting soft reflections on the polished glass, creating a tense corporate drama mood. On the left, a 30-year-old man, athletic build, short black hair, light stubble, wearing a tailored royal-blue suit with a crisp white shirt and no tie, is seated and leaning back with fingers steepled. On the right, a young businesswoman in her late 20s, slim build, dark hair pulled back in a low bun, wearing a sharp charcoal-grey trouser suit over a white blouse, is standing beside a glass table with a closed folder on it. The scene is photorealistic cinematic corporate drama, 35mm, shallow depth of field, fine film grain, cool-blue and warm-amber color grading, with vertical 9:16 framing. We hear a low HVAC hum, faint muffled traffic far below, and the soft tick of a wall clock. Underscore: a sparse tense piano motif over a low sustained string drone.", "turns": [ { "speaker": "B", "relay": "tight medium two-shot, eye level, static: the one on the right, standing and gesturing towards the table, says, \"I'm not asking you to believe me. Just look at the numbers.\"", "spoken": "I'm not asking you to believe me. Just look at the numbers.", "frames": 104 }, { "speaker": "A", "relay": "close-up on the one on the left, eye level, slow push-in: the one on the left, slightly shifting his gaze, says, \"I've seen numbers like these before. They don't survive contact with the market.\"", "spoken": "I've seen numbers like these before. They don't survive contact with the market.", "frames": 152 }, { "speaker": "B", "relay": "over-the-shoulder from behind the one on the left, favoring the one on the right: the one on the right, tapping the closed folder on the table, says, \"Then let me show you the one thing they all missed.\"", "spoken": "Then let me show you the one thing they all missed.", "frames": 104 }, { "speaker": "A", "relay": "medium close-up on the one on the left, low angle, static: the one on the left, nodding subtly, says, \"You have four minutes.\"", "spoken": "You have four minutes.", "frames": 32 } ] } ```
node 135 · ShowText · displayed_text
A modern high-rise boardroom at dusk, with floor-to-ceiling windows behind them showing a hazy city skyline going gold. Warm desk-lamp rim light mixes with the cool blue dusk from the windows, casting soft reflections on the polished glass, creating a tense corporate drama mood. On the left, a 30-year-old man, athletic build, short black hair, light stubble, wearing a tailored royal-blue suit with a crisp white shirt and no tie, is seated and leaning back with fingers steepled. On the right, a young businesswoman in her late 20s, slim build, dark hair pulled back in a low bun, wearing a sharp charcoal-grey trouser suit over a white blouse, is standing beside a glass table with a closed folder on it. The scene is photorealistic cinematic corporate drama, 35mm, shallow depth of field, fine film grain, cool-blue and warm-amber color grading, with vertical 9:16 framing. We hear a low HVAC hum, faint muffled traffic far below, and the soft tick of a wall clock. Underscore: a sparse tense piano motif over a low sustained string drone.
Input media
8Source images and video this run consumed.