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(1) Image → (18) Angles → (1) Click. Weavy + Qwen Edit Multi-Angle. (Full workflow in thread) PROCESS: 01. Import Qwen Edit Multiview LORA from Replicate. 02. Add an input node. 03. Duplicate a bunch of Qwen nodes 04. Vary angles and perspectives. 05. Generate. #weavy #promptshare

35,623 Aufrufe • vor 8 Monaten •via X (Twitter)

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Nanobanana Pro Higgsfield AI 🧩 なるほどこれは便利!! いろんなショットを一発で出して、そこから選ぶ感じ 見事にアップスケールしてくれる プロンプトはリプ欄の元投稿を使わせていただきました ””” Analyze the entire composition of the input image. Identify ALL key subjects present (whether it's a single person, a group/couple, a vehicle, or a specific object) and their spatial relationship/interaction. Generate a cohesive 3x3 grid "Cinematic Contact Sheet" featuring 9 distinct camera shots of exactly these subjects in the same environment. You must adapt the standard cinematic shot types to fit the content (e.g., if a group, keep the group together; if an object, frame the whole object): **Row 1 (Establishing Context):** 1. **Extreme Long Shot (ELS):** The subject(s) are seen small within the vast environment. 2. **Long Shot (LS):** The complete subject(s) or group is visible from top to bottom (head to toe / wheels to roof). 3. **Medium Long Shot (American/3-4):** Framed from knees up (for people) or a 3/4 view (for objects). **Row 2 (The Core Coverage):** 4. **Medium Shot (MS):** Framed from the waist up (or the central core of the object). Focus on interaction/action. 5. **Medium Close-Up (MCU):** Framed from chest up. Intimate framing of the main subject(s). 6. **Close-Up (CU):** Tight framing on the face(s) or the "front" of the object. **Row 3 (Details & Angles):** 7. **Extreme Close-Up (ECU):** Macro detail focusing intensely on a key feature (eyes, hands, logo, texture). 8. **Low Angle Shot (Worm's Eye):** Looking up at the subject(s) from the ground (imposing/heroic). 9. **High Angle Shot (Bird's Eye):** Looking down on the subject(s) from above. Ensure strict consistency: The same people/objects, same clothes, and same lighting across all 9 panels. The depth of field should shift realistically (bokeh in close-ups). A professional 3x3 cinematic storyboard grid containing 9 panels. The grid showcases the specific subjects/scene from the input image in a comprehensive range of focal lengths. **Top Row:** Wide environmental shot, Full view, 3/4 cut. **Middle Row:** Waist-up view, Chest-up view, Face/Front close-up. **Bottom Row:** Macro detail, Low Angle, High Angle. All frames feature photorealistic textures, consistent cinematic color grading, and correct framing for the specific number of subjects or objects analyzed. """

yachimat - AI Short Anime

115,517 Aufrufe • vor 8 Monaten

Everyone's sleeping on image-to-3D AI models. They can make your app look incredibly unique, with just a little effort. Here's how. This is my calorie tracker, built in a week with nothing but prompting. Just Claude Code + a couple APIs. The visuals are all AI-generated. I'll be sharing the full workflow + all the crazy technical stuff Claude and I did to make this work, so nobody has to struggle through it like me. Deep dive coming soon! Till then, this is the high-level idea: 1. Get a clean image of the food (or whatever your asset is) - In my app, the user describes foods via text, or attaches images (or both) - If text, an LLM extracts the food description and formats it into a specific prompt I tuned for this design, and we generate an image using Z-Image Turbo through fal - If image, we do the same thing but with FLUX.2 [dev] to edit the user image into our reference design - Originally, both used Google Nano Banana, but switching to open models cut costs and latency a ton 2. Gaussian splatting (2D image → 3D model) - I tried various 2D-to-3D options on fal and ended up with TripoSplat as my preferred balance of speed, cost, latency; this turns an image into a 3D model that looks super high quality (link below) - The app displays the 2D image while our backend generates the 3D splat - We "groom" the splat to reduce size and load time by culling low-opacity/scale points 3. Render efficiently on device Originally, it looked great but ran at 10 FPS. Getting to 120 FPS was a crazy journey. TL;DR: - SwiftUI had to go; it forced us to render each asset in independent MTKViews, which wasn't workable - Instead, we composite every dish into one full-bleed CAMetalLayer using MetalSplatter (link below) - We had to make some optimizations within MetalSplatter's code too, to reduce the overhead of sorting points per render Then I added some finishing touches like the subtle rotation and parallax as they move around. I think it turned out pretty cool :) Overall, this took some effort, but we still got it done in less than a day. Hopefully your agent can follow in the footsteps of mine and do it much faster. Keep an eye out for the bigger writeup, which'll give your agent everything it needs. If you have any questions, drop em below!

Anshu

19,931 Aufrufe • vor 1 Monat

Instead of GRWM, let's cook with me. Cooked on GPT Image 2 + Happy Horse on BudgetPixel AI Prompt Create a 10-second cinematic food-commercial video following a STRICT 9-panel storyboard sequence. The AI MUST follow the storyboard EXACTLY in order with smooth cinematic continuity between every shot. Do NOT skip panels, merge scenes, change camera angles randomly, or alter the cooking process. STRICT VIDEO RULES EXACTLY 9 sequential scenes Maintain the SAME young Western blonde woman throughout the entire video Same wardrobe, hairstyle, kitchen environment, props, and food consistency in every shot Keep realistic Indonesian bubur ayam preparation accurate Smooth transitions between scenes Realistic live-action cinematography ONLY No animation, no cartoon style, no surreal visuals Professional food-commercial pacing Every scene should feel connected like a luxury Netflix food documentary VISUAL STYLE Ultra realistic cinematic food videography Warm morning lighting Indonesian street-food atmosphere blended with modern cozy kitchen aesthetic Rich golden tones Soft steam atmosphere Shallow depth of field Smooth cinematic motion blur Macro food photography look Premium commercial composition 24fps cinematic motion 4K ultra realism Natural cooking ambience audio Steam and glossy textures highly visible STRICT 9-PANEL VIDEO STORYBOARD PANEL 1 — “Morning Preparation” (0:00–0:01) Wide cinematic establishing shot. Young blonde Western woman enters a cozy Indonesian-inspired kitchen carrying fresh ingredients toward a wooden counter. Warm sunrise light enters through the window. Slow handheld cinematic camera movement. PANEL 2 — “The Bubur Pot” (0:01–0:02) Extreme close-up of a large steaming pot of thick bubur ayam. The woman slowly stirs the porridge with a metal ladle. Heavy steam rises dramatically into warm light. Macro cinematic food detail. PANEL 3 — “Careful Seasoning” (0:02–0:03) Close-up of the woman sprinkling spices and seasoning into the bubbling porridge. Focused expression. Shallow depth of field with cinematic hand movement. PANEL 4 — “Pouring the Porridge” (0:03–0:04) Slow-motion macro shot of thick glossy porridge being poured from ladle into a white ceramic bowl. Steam rises beautifully. Camera follows the pouring motion smoothly. PANEL 5 — “Preparing Toppings” (0:04–0:05) Fast cinematic montage of toppings being prepared: shredded chicken, chopped scallions, fried shallots, soybeans, crackers. Quick macro cuts with elegant food styling. PANEL 6 — “Topping Assembly” (0:05–0:06) Dynamic slow-motion shot of toppings dropping into the bowl one by one. Floating crumbs and steam visible. Luxury commercial close-up angles. PANEL 7 — “Golden Broth Finish” (0:06–0:07) Golden chicken broth poured over the porridge creating rich ripples. Sambal carefully added on the side. Camera slowly rotates around the bowl. PANEL 8 — “Final Food Presentation” (0:07–0:08.5) Completed bubur ayam placed on a warm wooden table. The woman adjusts the bowl presentation gently. Steam rises naturally. Crispy toppings highly detailed. PANEL 9 — “Hero Shot” (0:08.5–0:10) Final cinematic hero frame. The blonde Western woman sits beside the finished bubur ayam smiling softly toward camera in warm morning light. Slow cinematic push-in camera movement. Shallow depth of field. Elegant premium food-commercial ending with cinematic focus pull. TECHNICAL NOTES Smooth cinematic transitions only Keep camera movement elegant and controlled Avoid fast chaotic edits Maintain realistic physics and food textures Steam must remain visible in most scenes Food should always look fresh, glossy, warm, and appetizing Cinematic luxury advertisement quality throughout The AI MUST strictly follow all 9 storyboard panels in exact order without improvisation

Sharon Riley

20,727 Aufrufe • vor 2 Monaten

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Mike Futia

50,099 Aufrufe • vor 4 Monaten

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Jake (Max-Q) 🏴󠁧󠁢󠁷󠁬󠁳󠁿

23,025 Aufrufe • vor 3 Monaten

GPT Image 2 + Seedance 2.0 on OpenArt Prompt: Create a professional production storyboard sheet for a cinematic Japanese cooking video. Format: A wide horizontal storyboard layout, 16:9 aspect ratio, arranged in a clean 3x3 grid with 9 panels total. Thin black borders separating each frame. Warm parchment/off-white background like a printed production board. At the top center, add the title: JAPANESE BEEF BOWL — Production Storyboard Each panel should have a small white label box in the top-left corner with the panel number in brackets: [1], [2], [3], etc. Under each panel, add a short italic serif caption starting with a two-digit number and an em dash. Visual style: High-end cinematic food photography, warm rustic Japanese kitchen, moody amber lighting, shallow depth of field, steam, dark wooden table, handmade ceramic bowls, old kitchen tools in the background, realistic textures, glossy sauce, appetizing food details, premium commercial cooking video look. Storyboard panels: [1] Close-up of hands slicing raw beef into thick bite-sized pieces on a worn wooden cutting board with a large chef's knife. Caption: 01 — Slice beef into bite-sized pieces. [2] Close-up of beef pieces searing in a black cast-iron pan, caramelized golden-brown edges, sizzling oil, steam rising, chopsticks turning one piece. Caption: 02 — Sear beef until browned. [3] Close-up of soy sauce being poured from a small ceramic cup into the hot pan, dark sauce bubbling around the beef, steam filling the frame. Caption: 03 — Add soy sauce to the pan. [4] Beef pieces simmering in a thick glossy sauce, chopsticks lifting a glazed piece, sauce bubbling heavily in the pan. Caption: 04 — Simmer beef in the sauce. [5] A wooden rice paddle scooping freshly steamed white rice into a large handmade ceramic bowl. Caption: 05 — Scoop steamed rice into bowl. [6] Thick Japanese-style savory sauce being poured over the mound of white rice in the ceramic bowl, glossy dark sauce spreading over the rice. Caption: 06 — Drizzle sauce over rice. [7] Glazed beef slices being placed carefully over the rice with chopsticks, close-up, rich caramelized shine. Caption: 07 — Arrange glazed beef over rice. [8] Finished bowl being assembled with green onions, soft-boiled egg halves, pickled ginger, sesame seeds, and fresh vegetables around the beef. Caption: 08 — Add vegetables, egg, and garnish. [9] Final hero shot of the completed Japanese beef bowl on a rustic wooden table, glossy beef, golden egg yolks, steam rising, hands resting near the bowl, cinematic food commercial look. Caption: 09 — Completed beef bowl, hero shot. Make the entire storyboard feel like a polished production planning sheet for a premium Japanese beef bowl commercial. Keep every panel realistic, cinematic, warm, detailed, and consistent in lighting, color palette, kitchen environment, and bowl design. Video Prompt: CRITICAL INSTRUCTION: The reference image contains a 9-step chronological cooking storyboard for a Japanese Beef Bowl. Animate the chef seamlessly through these exact 9 steps in order. Start at Step 1 (Slice raw beef into bite-sized pieces), flow into Step 2 (Sear beef until browned), then Step 3 (Add soy sauce to the pan). Continue through Step 4 (Simmer beef in the sauce), Step 5 (Scoop steamed rice into bowl), Step 6 (Drizzle sauce over rice), Step 7 (Arrange glazed beef over rice), Step 8 (Add vegetables, egg, and garnish), finishing on Step 9 (Completed beef bowl hero shot). Prioritize the strict sequence of actions. No music. No subtitles. Location: Traditional Japanese kitchen. 15 seconds, 16:9, realistic, cinematic, appetizing, natural camera movement. Warm moody lighting, shallow depth of field, rich steam, glossy sauce, premium food commercial quality.

Zara

19,876 Aufrufe • vor 27 Tagen

Seedance 2.0 on FlovaAI =================== Prompt: [Reference Identity Lock] Image 1 is ONLY the main female protagonist. Her face, hairstyle, body type, and outfit must match Image 1 exactly and stay consistent for the entire video. Image 2 is ONLY a uniform reference. All four opponents wear the school uniform shown in Image 2. Never swap, merge, duplicate, or blend identities. The protagonist's identity comes ONLY from Image 1. The four opponents have NO reference images. They are defined by the text descriptions below. The four opponents must not resemble the protagonist, and they must not resemble each other. All five characters must remain clearly distinct and recognizable until the end. [Priority Order] 1. Preserve the protagonist's identity from Image 1. 2. Keep the four opponents visually distinct from her and from each other. 3. Maintain one continuous shot with no cuts. 4. Keep the classroom layout spatially consistent. 5. Make the action fast but readable and physically connected. 6. Keep the tone as a Korean school action drama, stylish but grounded. Korean school action drama classroom fight scene — 15 seconds, ONE CONTINUOUS SHOT, NO CUTS. A single uninterrupted handheld shot. No cuts, no scene transitions, no montage. The camera should feel handheld, with micro-jitters, slight rolling shutter, and raw unstable realism. The camera must physically travel through the same classroom space. Every transition must be motivated by camera movement, not editing. Whip pans are allowed, but they must not hide a cut. Do not teleport the camera or characters. The classroom layout and character positions must remain spatially consistent. Audio: No music. Only realistic school and classroom ambient sounds: old fluorescent light hum, distant hallway noise, ceiling fan, shoes scraping the floor, desks dragging, chair legs screeching, cloth friction, dull body impacts, and breathing that gradually becomes heavier. Breathing continues throughout the scene and keeps building. Lighting: Late afternoon in a Korean high school classroom. Mixed cool fluorescent light and warm sunlight through the windows. Dust floating in the sunlight. Soft fan shadows moving across desks and school uniforms. Main character: The Korean female high school student from Image 1, age 17–18. Cold, emotionless, calm, and intimidating. She barely speaks and does not scream during the fight. She remains composed from beginning to end. Her movements are efficient, explosive, and precise. Even if her frame is not large, she dominates through speed, timing, and accuracy. Main outfit: Exactly the outfit shown in Image 1. Do not change its colors, design, or details. Her jacket or outer layer is either removed and hanging on a chair, or worn in a slightly messy way. The action must be non-sexualized and combat-focused. Fabric movement, dust, sweat, wrinkles, and impact response should feel realistic. Opponent rules: Four Korean female high school students, all wearing the Hanlim Multi Art School uniform shown in Image 2. They have no reference images. Define them strictly by these descriptions and keep each one consistent: Opponent A: short black bob with straight bangs, medium build, round face. Opponent B: long straight hair tied in a high ponytail, tall and lean, sharp jawline. Opponent C: shoulder-length hair with side-swept bangs, slim build, narrow face. Opponent D: long wavy hair worn loose, slightly stocky and broad-shouldered. A, B, C, and D must each keep clearly different faces, hairstyles, body shapes, and silhouettes. They must not resemble the protagonist, and they must not resemble each other. No face duplication, no face merging, no identity confusion. Environment: An empty classroom at Hanlim Multi Art School, a Korean performing arts high school in Seoul. Green chalkboard, chalk tray, worn wooden desks, plastic chairs, classroom clock, class schedule poster, discipline/life-guidance posters, cleaning tools, blinds or curtains, wall study materials, and a slightly scuffed floor. Desks and chairs should react naturally to impacts, sliding, shaking, and collapsing when hit. Camera framing rules: Even during kicks, framing should stay around chest-level or eye-level. No low-angle shots under the skirt. Do not focus on legs, thighs, underwear, or fetish-like details. All action framing must prioritize faces, upper-body motion, impact, and spatial choreography. Continuous action and camera choreography: From 0 to 15 seconds, the fight continues without any cuts. The action should be stylish but readable, and every movement must be physically connected. 0–3s: The camera starts behind the protagonist at a slightly low handheld angle, drifting left through the classroom aisle. Opponent A grabs the protagonist's shoulder roughly and says in Korean: "야, 너 지금 뭐 하자는 거야?" The protagonist silently turns and lands one hard straight punch to A's face. At impact, use a very brief 15% slow motion: cheek ripple, dust particles, deep thud. A falls sideways into a desk. The camera dips slightly from the shock, then whip-pans right without cutting. 3–6s: Opponent B charges in from the right. The protagonist steps forward instead of retreating. A short body shot to the stomach. Immediate uppercut to the chin. Without pausing, she drives forward into a flying knee to B's chest. B is thrown backward across or into a desk. The camera follows the forward motion low, then rebounds upward with the impact. 6–9s: Opponent D attacks with two fast punches. The protagonist deflects both strikes with her arms, then flows into a turning backfist to D's face. As D staggers, she continues the same rotation into a spinning back elbow that lands hard on D's jaw or temple. D crashes sideways into two or three desks. The camera arcs around her shoulder and jitters slightly at each impact. No cuts. 9–12s: Opponent C rushes in from the chalkboard side. The protagonist clearly grabs C's collar with her left hand. C's face must be fully visible from the front and clearly different from the protagonist. The protagonist lands one short, hard punch to C's face, then immediately throws a powerful high kick or flying high kick into C's chest. The force sends C backward into the green chalkboard. The protagonist remains in the foreground and never touches the board. The protagonist's face should be side-profile or partially obscured. C's face should be clearly visible from the front at the moment of impact. Their faces must never overlap in frame. Use a very brief 20% slow motion at the chalkboard impact: chalk dust bursts outward, and C slides down the board. The camera pushes up with the impact, then tilts down as C slides. 12–15s: Through the chalk dust, the camera hard-pans right. D makes one final charge. The protagonist sidesteps and lands a tight uppercut to D's chin, followed immediately by a cross. D crashes into a row of desks, causing a chain reaction of collapsing desks and chairs. The camera drifts forward slowly. The protagonist adjusts her loose tie or ribbon and brushes chalk dust off her shoulder. Her expression stays cold and serious. She walks past the camera and exits the frame. Dust floats in the sunlight. Natural ending. =================== Made with Flova #FlovaAI #FlovaCPP

TSUBAKI

17,869 Aufrufe • vor 14 Tagen

What if one drink could shrink you into a magical adventure? GPT image 2 & Seedance 2.0 on WaveSpeedAI 🎁Exclusive GIVEAWAY 🏆$10 credits × 10 Winners Requirements: ✅ Follow WaveSpeedAI & WaveSpeedAI CPP ✅ RT and WaveSpeedAI Prompt:- Step 1: Generate storyboard with GPT Image 2 Create a wide 9-panel cinematic storyboard infographic in a clean 3x3 grid layout. Use realistic photography, cinematic realism, and warm golden-hour color grading. Each panel must be clearly numbered (01–09), include a bold scene title, and 2–3 short bullet points describing the action. Design it like a professional film-production storyboard used by directors and cinematographers. STORY TITLE: "THE COKE DAYDREAM" MAIN CHARACTER: Beautiful adult Western woman, shoulder-length blonde hair, blue eyes, stylish red-and-black uniform, confident and playful personality. VISUAL STYLE: Photorealistic, cinematic storytelling, Unreal Engine quality, warm sunlight, shallow depth of field, realistic skin textures, beautiful bokeh, lens flares, filmic composition, professional storyboard presentation. LAYOUT: Wide horizontal storyboard sheet. 3 rows × 3 columns. Each panel separated by thin black borders. Large panel numbers in top-left corner. Bold panel titles. Short bullet-point descriptions. Consistent character appearance across all panels. PANEL 01 — "A SUMMER BREAK" • Blonde woman relaxes in a sunny park. • Holds an ice-cold Coca-Cola bottle. • Warm golden sunlight through trees. PANEL 02 — "THE FIRST SIP" • Cinematic close-up of Coke bottle. • Sparkling condensation and reflections. • She takes a refreshing sip. PANEL 03 — "THE MAGIC BEGINS" • Strange dreamy feeling appears. • World starts changing scale. • Magical atmosphere fills the park. PANEL 04 — "SHRUNK!" • Tiny woman standing on giant tree branch. • Massive leaves and grass surround her. • Discovers she has become miniature. PANEL 05 — "GIANT PICNIC WORLD" • Exploring a picnic table. • Huge apples, cakes, juice bottles. • Giant Coca-Cola can towers above. PANEL 06 — "BUMBLEBEE RIDE" • Friendly giant bumblebee arrives. • She climbs onto its back. • Adventure flight begins. PANEL 07 — "SKY ADVENTURE" • Flying through clouds and sunlight. • Hair blowing dramatically in the wind. • Epic fantasy journey. PANEL 08 — "CHAOTIC FUN" • Bee races through splash fountains. • Water droplets explode around them. • Exciting high-energy action sequence. PANEL 09 — "BACK TO REALITY" • Normal size again on grassy hill. • Drinking Coca-Cola peacefully. • Smiles toward camera as sunset glows. DESIGN NOTES: Professional movie-previsualization storyboard. Consistent warm cinematic color palette. Clear visual progression from reality → fantasy adventure → peaceful resolution. High-end film production quality. Magazine-quality infographic design. Readable typography. Balanced composition in every frame. Masterpiece, ultra-detailed, realistic photography.

Sharon Riley

33,292 Aufrufe • vor 2 Monaten

This looks so neat and clean Created by using GPT Image 2 + Seedance 2.0 on TapNow Prompt Ultra-luxury cinematic fashion construction film. STRICTLY follow all 12 storyboard panels sequentially without skipping, merging, shortening, reordering, or improvising any panel. Every shot must transition smoothly into the next in exact numerical order from Panel 1 through Panel 12. Total runtime exactly 155 seconds. Maintain absolute continuity in lighting, material behavior, camera language, scale progression, and object identity throughout the entire film. Only ONE shoe exists during the entire video — never show a pair under any circumstance. Visual format: 65mm IMAX film aesthetic, macro-capable Panavision anamorphic lens, ultra-sharp macro detail, shallow cinematic depth of field, fine editorial film grain throughout, subtle horizontal anamorphic lens flares ONLY from thread highlights and suede edge speculars. Infinity cyclorama studio environment with seamless pale grey-to-white gradient background where the floor curves upward into the wall with no visible horizon line. Warm-neutral soft key light from above camera-left creating one consistent clean shadow falling back-right in every shot. Lighting inspired by Loewe / Hermès luxury editorial campaigns — soft but directional, warm and premium, never harsh, never blue, never high contrast, never crushed blacks. Stable cinematography only. No jitter, no AI morphing, no flicker, no ghosting. The entire narrative is a meditative material-transformation journey where a single deep crimson liquid droplet gradually evolves into a handcrafted suede slingback heel through couture construction and hidden comfort engineering. Every material interaction obeys realistic physics. Diegetic sound only — no music, no score. PANEL 1 — THE VOID (00:00–00:10) Wide locked-off cinematic shot of an empty infinity cyclorama studio with pale grey-to-white seamless gradient background. Atmospheric dust floating slowly in warm studio light. Exposure breathing subtly. Silence and soft room tone dominate. After several seconds, one tiny deep crimson droplet slowly falls into frame from above in near weightless slow motion, rotating slightly while catching warm highlights. The droplet lands center frame on the polished cyclorama floor with realistic liquid surface tension physics. It briefly holds spherical form before gently flattening outward. One soft shadow falls back-right. Sound: low room tone, elegant bell-like tick on impact, delicate reverb decay. PANEL 2 — SURFACE TENSION (00:10–00:22) Cut to macro floor-level close-up. Camera slowly orbits around the flattened crimson liquid pool. Surface tension creates organic rounded edges and subtle thickness variation. Warm key light reflects softly like satin lacquer. Tiny ripples propagate outward and gradually settle. Floating dust visible in the beam of light. The liquid slowly begins thickening microscopically as if memory is forming beneath the surface. Edges transition from glossy wetness toward velvety softness. Sound: soft viscous liquid movement, faint atmospheric resonance. PANEL 3 — THE FIRST FIBERS (00:22–00:36) Extreme macro push-in across the crimson surface. Thousands of microscopic suede nap fibers begin extruding upward organically in rhythmic waves. Individual fibers catch warm highlights differently depending on density and angle. The transformation moves naturally across the surface like wind through grass. Matte suede texture gradually replaces liquid gloss entirely. Camera glides slowly across the newly forming velvet landscape. Sound: microscopic fiber rustling, delicate textile friction. PANEL 4 — MATERIAL MEMORY (00:36–00:50) Macro tracking shot across fully formed crimson suede terrain. Every velvet strand visible in extreme detail. Invisible pressure waves beneath the suede subtly shift the nap direction, creating tonal changes across the material surface. Warm light rolls gently over the velvet texture. The material gradually lifts upward from the floor, beginning to imply the sculptural shape of a pointed shoe toe. Sound: soft velvet brushing, low warm resonance. PANEL 5 — THE THREAD ARRIVES (00:50–01:06) Extreme-extreme macro couture construction sequence. One single crimson thread enters frame illuminated by warm directional light. FPV-style camera flies beside the advancing thread as it stitches into the suede surface. Thread fibers visibly twist under tension. The thread enters the suede, disappears beneath the surface, emerges again at the next stitch peak, pulls taut, and repeats rhythmically. Camera passes over every stitch mountain in sequence. Each stitch slightly reshapes surrounding suede. Sound: couture stitching ticks, thread tension tightening, soft textile compression. PANEL 6 — CONSTRUCTION OF FORM (01:06–01:20) Transition from macro to medium scale. Behind the advancing stitch line, the shoe body begins solidifying into recognizable structure. Pointed toe box forms first, then elegant sidewalls rise upward with sculptural precision. The slingback silhouette slowly emerges from previously flat suede terrain. Camera performs a slow floating cinematic arc around the forming structure. Matte crimson suede texture remains perfectly consistent. Sound: restrained structural textile movement, distant stitching continuation. PANEL 7 — THE INTERIOR (01:20–01:34) Macro cutaway revealing the inside of the forming shoe. Cream-colored lambskin lining flows organically into place beneath the crimson suede shell. The lining smooths itself naturally against elegant internal curves. Strong visual contrast between warm cream lambskin and deep crimson suede under soft editorial lighting. Materials appear tactile and luxurious. Sound: soft leather settling, delicate tactile friction. PANEL 8 — ENGINEERED COMFORT (01:34–01:48) Macro cross-sectional engineering sequence. Internal comfort layers assemble one by one with realistic material physics. Dense foam base layer forms first with subtle porous texture. Softer memory foam settles gently above and compresses naturally under its own weight. Cream lambskin velvet seals the upper layer. The completed cushion compresses once slowly and rebounds naturally, demonstrating softness and resilience. Camera glides across microscopic velvet interior texture. Sound: soft pneumatic settling, muted resonance, cushion compression. PANEL 9 — THE HEEL SCULPTURE (01:48–02:02) Macro cinematic focus on the kitten heel gradually forming from the same crimson suede structure beneath the shoe body. Elegant curvature emerges slowly and becomes refined and balanced. Camera tracks upward along the heel contour toward the slingback strap. Warm highlights skim softly across suede edges. Sound: low structural resonance, faint textile shaping. PANEL 10 — FINAL REFINEMENT (02:02–02:18) Medium macro editorial beauty detailing. Camera slowly explores completed craftsmanship: stitch consistency, velvet nap direction, edge finishing, cream lambskin softness, seamless slingback geometry. Tiny dust particles drift through warm studio light. The shoe settles microscopically as if materials are naturally relaxing into final form. Sound: quiet room tone, soft textile creaks, near silence. PANEL 11 — HERO EMERGENCE (02:18–02:32) Slow cinematic pullback from macro detail into full product reveal. The fully completed deep crimson suede slingback heel stands alone centered on the infinity cyclorama floor. Same warm-neutral key light from above camera-left and same single clean shadow falling back-right for continuity with Panel 1. Camera movement extremely slow and controlled. Every material reads clearly: deep crimson suede upper, cream lambskin interior, sculpted kitten heel, elegant slingback strap. Sound: deep low resonant tone gradually fading into room tone. PANEL 12 — THE FINAL HOLD (02:32–02:35) Locked-off front three-quarter hero composition. The single crimson suede slingback heel remains perfectly still at center frame on the seamless infinity cyclorama. Velvet nap subtly catches warm light with natural tonal variation. Silence gradually overtakes the room tone. Hold on pure luxury restraint. No text. No logo. No end card. Global Constraints: Only ONE shoe visible at all times. Never show a pair. No hardware, buckles, laces, or metallic elements. No logos, subtitles, typography, branding, or watermarks. No lighting changes between shots. Maintain consistent deep crimson suede color. Preserve ultra-sharp macro clarity and stable cinematography. No morphing artifacts, no flicker, no surreal deformation. Realistic liquid surface tension. Realistic suede microfiber extrusion. Visible thread twist and accurate stitch tension. Natural foam compression and rebound physics. Consistent matte velvet nap behavior. Diegetic sound only — liquid, textile, stitching, room resonance. No music. No soundtrack.

Aaliya

33,224 Aufrufe • vor 2 Monaten

Boom! Grok Tasks Make It One Of The Most POWERFUL Real-Time AI Systems In The World. — My How to Use Grok Tasks With Hidden Tools For Powerful Daily Output. Grok Tasks are customizable AI workflows that integrate a variety of tools to streamline daily activities, from research and analysis to creative planning and problem-solving. I have been using them for quite sometime and because of the vital heartbeat of news and first person data on X, it is the most powerful AI platform available. By combining Tasks with tools like web searches, X platform interactions, code execution, and media viewers, you can build efficient, automated processes. These tasks work by prompting Grok with a clear description of what you want to achieve, and Grok will intelligently call the necessary tools in sequence or parallel to deliver results. Here's a step-by-step guide to creating and using Grok Tasks: Step 1: Define Your Task Start by clearly outlining the daily activity or goal. Consider what inputs you have (e.g., a URL, a query, or an attachment) and what output you need (e.g., a summary, calculation, or visual analysis). Break it down into subtasks to identify tool needs. For example, if your task involves researching current events, note that you'll need search and browsing capabilities. Step 2: Review Available Tools Familiarize yourself with the tools Grok can access. Here's a quick overview: - Code Execution: Run Python code for calculations, data processing, or simulations using libraries like numpy, pandas, or sympy. - Browse Page: Fetch and summarize content from any website URL with custom instructions. - Web Search: Perform general internet searches, returning results with optional operators like site:. - Web Search With Snippets: Get quick, detailed excerpts from search results for fact-checking. - X Keyword Search: Advanced search for X posts using operators like from:, since:, or filter:. - X Semantic Search: Find semantically related X posts based on a query, with filters for dates or users. - X User Search: Locate X users by name or handle. - X Thread Fetch: Retrieve a full X post thread, including context like replies and parents. - View Image: Analyze an image from a URL or conversation ID. - View X Video: Extract frames and subtitles from an X-hosted video. - Search PDF Attachment: Query a PDF file for relevant pages using keyword or regex modes. - Browse PDF Attachment: View specific pages of a PDF with text and screenshots. Select tools that align with your task. Aim for a mix to handle data gathering, processing, and visualization. Step 3: Craft Your Prompt Write a detailed prompt to Grok describing the task. Include: - The overall goal. - Specific steps or subtasks. - References to tools if you want to guide the process (e.g., "Use web_search to find sources, then code_execution to analyze data"). - Any constraints, like dates or limits. Example prompt: "Create a Grok Task for my morning routine: Search recent X posts about tech news using x_keyword_search, fetch a key thread with x_thread_fetch, and summarize with browse_page on linked articles." Step 4: Submit and Interact Send your prompt to Grok. It will process the task by calling tools as needed, often in parallel for efficiency. Review the output and refine with follow-up prompts if required (e.g., "Expand on that using view_image for visuals"). Iterate to fine-tune the workflow for reuse. Step 5: Save and Reuse Once refined, note the prompt as a template for future use. You can adapt it for similar tasks, making Grok Tasks a habitual part of your day. Finding Grok Tasks To discover existing Grok Tasks or inspiration for new ones, use X searches with tools like x_keyword_search or x_semantic_search (e.g., query: "Grok Tasks examples" with mode: Latest). Browse community-shared threads via x_thread_fetch, or web_search for tutorials on xAI features. Prompt Grok directly: "Show me popular Grok Tasks for productivity." 1 of 3

Brian Roemmele

152,242 Aufrufe • vor 6 Monaten

I love that Higgsfield is making its best AI commercial workflows completely open-source. Seedance 2.0 on Higgsfield AI Full open-sourced prompts & assets below. Prompts : Style: 8K IMAX. Photorealistic — no 3D render, no game engine, no game-cutscene aesthetic. Cinematography: Emmanuel Lubezki × Roger Deakins. Lighting: Natural light only — contre-jour backlight, camera on shadow side, atmospheric haze throughout. Key light from sky and windows only. Color: 60:30:10 — dominant / secondary / accent. Camera: Physical cine lens. 180° shutter motion blur. Skin: Pore-level realism — vellus hair, asymmetric moles, capillary flush, pore-shadow matching on-set light. Acting: Hollywood — micro-pauses before reactions, precise eye-line, wet living eyes with catch-lights, visible breath and chest rise. Physics: Gravity and inertia respected — mass has real weight, correct contact shadows. No floating props. Composition: Rule of thirds + golden ratio. Every person moving from frame one. Continuity: Characters, props, environment identical across every cut. No identity drift. Technical: 24fps smooth motion. 8K detail. No jitter. Audio: Environmental SFX only. No music. No subtitles. SUBJECT — >>, character matches input 100%, >> can in right hand. By end fully transformed into >> — armor assembled mid-air in real-time, >> matches input 100%. WB 6500K. MULTISHOT — fast cinematic cutting, escalating energy across the full 15s. LOCATION — >> is a STYLE REFERENCE ONLY, not a fixed keyframe. Use it for the look, mood, architecture and lighting of the environment — a deserted NYC-type avenue in hard midday sun. Seedance should freely generate and extend the world: new buildings, new stretches of avenue, fresh camera angles. The character TRAVELS through space across the shots — he is NOT pinned to the exact spot or framing of the input image. Do not reproduce the reference frame 1:1. ACTION — SHOT 1 (0:00–0:02) — EXTREME CLOSE, chin to forehead. >> raises >> to lips, deep pull. Adam's apple descends then rises twice. Hard cut. SHOT 2 (0:02–0:04) — Same close framing. Can lowers fast. Eyes snap open, sharp and alert (natural skin and iris detail, no glow). Zygomaticus major fires — wide genuine grin builds in under a second, 2mm to 8mm at mouth corners. Sternum rises with a full deep inhale. He is electric. Hard cut. SHOT 3 (0:04–0:06) — WIDE, low. >> EXPLODES forward into a sprint at 30 km/h, continuing in the SAME direction he was already facing — straight ahead down the avenue, NOT turning around. First strides — sneakers slam cracked asphalt, dust puffs eject 10cm. Hard cut. SHOT 4 (0:06–0:08) — Tracking the sprint. Arms drive at 90°, track jacket trails 15cm, grin held, brow raised, jaw relaxed open. Stride extends, ground contacts shorten. Building speed. Hard cut. SHOT 5 (0:08–0:10) — Final two strides, knees compress to 110°. Right foot drives into asphalt — surface fractures 20cm radius. He LAUNCHES upward at 65 km/h. Hard cut. SHOT 6 (0:10–0:13) — Mid-air in the >> building canyon, 24fps FULL SPEED, NO slow-motion. He is NOT frozen — his whole body keeps moving through the jump: torso rotates, legs cycle and tuck, arms swing out and reach, head turns to track the incoming armor. As he flies and twists through the air, armor pieces rip in from the city geometry and converge onto his moving body — chest plate LOCKS mid-rotation, pauldrons CLAMP as his shoulders swing, gauntlets SNAP onto forearms while his arms extend, shin plates clamp onto cycling legs, helmet descends and visor SLAMS shut as his head turns forward — one violent fluid sequence, body in constant motion throughout. Sharp metallic CRACK at visor seal. Hard cut. SHOT 7 (0:13–0:15) — >> SLAMS into >> in a hard crouch, both armored feet hit asphalt simultaneously, dust ring erupts 80cm. He rises, snaps gauntleted fists open and shut — left then right — glances down at the chest plate. Muffled laugh from behind the sealed visor. Hard cut to black. CAMERA — SUPER-DYNAMIC HANDHELD, never static, never locked off. Strong aggressive operator shake on every shot — 4–8cm bounce, organic human jitter, no stabilization. Pronounced DUTCH ANGLE throughout — frame canted 12–20° and shifting between shots, tilting harder as energy builds. SHOT 1: FOV 18° extreme close, hard dutch 15°, violent micro-shake. SHOT 2: FOV 18°, dutch flips to opposite side ~18°, jittery. SHOT 3: FOV 84° low, dutch 12°, whip into the sprint. SHOT 4: FOV 84°, camera physically chasing the run, dutch 16°, heavy stride bounce, motion blur on pans. SHOT 5: FOV 63°, dutch 20°, snap-tilt up tracking the launch. SHOT 6: FOV 63°, AGGRESSIVE HANDHELD CAMERA MOVEMENT — operator arcs and swings around the airborne body, 6–8cm bounce, fast reframes chasing each armor piece as it locks onto his moving form, strong DUTCH ANGLE swinging 18°→8°, no slow-mo. SHOT 7: FOV 63°, hard jolt on landing impact, dutch 14°, camera recoils 8cm then keeps breathing on the suit inspection. STYLE — Dominant: bleached asphalt grey and building canyon 60%. Secondary: navy/cream outfit transitioning to chrome armor 30%. Accent: grin, dust, chrome flash and visor LED blue on landing 10%. WB 6500K. NO glowing eyes — eyes lit by natural sunlight only. CONSTRAINTS — Cut to black at end. 16:9. MULTISHOT with hard cuts per the timecodes above. NO slow-motion anywhere — everything 24fps full speed, especially the transformation. Camera always handheld with strong shake and dutch angle — NEVER static or locked. NO eye glow. >> is a reference for style only — do NOT lock to the input frame or keep him in the same spot; the world extends and he moves through it. Grin must be fully established before the sprint begins.

yopiwhs

11,680 Aufrufe • vor 14 Tagen