(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 #promptshareshow more

By far the best way to generate images at... different angles is this 3D Camera Control node. Instead of describing angles with words, you just click the view you want. Simple UI, and the Qwen Image Edit 2511 multi-angle LoRA keeps things consistent across generations. Workflow below 👇show more

Ep 56 → Youtube Thumbnail Workflow. Elon vs Fast... Hours. (Full workflow in thread) PROCESS: 1. Create base characters 2. Composite characters. 3. Iterate Scenery 4. Add text + upscale/flatten. TOOLS: + Weavy: Workflow Creation + Midjourney: Character Gen + Nano Banana/SeedDream: Image Editing + Qwen: Changing perspective + Flux Fill/SD Content Aware: Inpainting + Rodin 3D: Text gen + placement + Bria: Background removal + Compositor: Canvasing + Kling 2.5: Video gen #weavy #promptshareshow more

The Making of a Coliseum Ship Battle. With Google... Earth + Weavy + Veo3 (With help from Runway/Flux/etc) PROCESS: 01. Screenshot Location on GE 02. Rexture + add details 03. Composite elements 04. Diagram Shot 05. Generate + iterate Used a lot of tools in this one. (More details in thread) #veo3 #promptshareshow more

MIDJOURNEY → Quality of life update. "Smart Select" now... is within Editor. PROCESS: 01. Open "Edit" 02. Upload an image 03. Choose "SELECT" 04. Highlight the area. 05. Select "Remove" or "Isolate" 06. Add prompt + generate #midjourneyshow more

Midjourney Video → Keyframes Released. It also works with... "extend." PROCESS: 01. Generate original image 02. Remove background. 03. Regenerate background. 04. Add both images as keyframes 05. Extend and continue. (More Details in thread) VIDEO PROMPT: Side profile tracking shot of a matte green Land Rover Defender driving from a [environment1] into a [environment2]. Smooth cinematic transition. [ENV1] blurs into a [ENV2]. Motion blur on car wheels. [LIGHTING1] replaces [LIGHTING2]. Steady camera on vehicle, looping seamless movement --motion high #midjourney #promptshareshow more

Here comes a really fast AI UGC content creator!... Here's a highly customizable workflow 1. Upload the Product Photo 2. Upload the Script 3. Click Run In a couple of mins, you have a vertical talking head video The best part is, it's cheap, fast and highly customizable! Photo → fal's Flux 2 Turbo Edit TTS → Qwen 3 TTS Video → LTX-2 Audio to Video In just a couple of mins, you'll have a video that you can share and batch out to promote your product for the next campaign! I'm sharing the workflow 👇🏽 so you can clone and edit as you wish!show more

AN AWS ENGINEER QUIETLY BUILT A 2 PETABYTE HOME... SERVER FOR $9/MONTH THAT KILLS A $3,400/MONTH CLOUD STORAGE BILL the lenovo thinkstation pgx ships nvidia's gb10 grace blackwell superchip and 128gb of unified memory in a box the size of a mac mini at 1.2kg it runs an 80b qwen3 coder model at 25 to 40 tokens per second and a 196b step-3.5-flash moe model at 20 tokens per second locally the gb10 packs 6,144 cuda cores, 192 fifth-generation tensor cores and rates at 1 petaflop of fp4 with sparsity from a single 240 watt usb-c power supply fine tuning qwen 2.5 7b with lora took 18 minutes and 41gb of unified memory while the gpu pulled 65 watts and peaked at 77 degrees the box pulls a docker container from nvidia's registry and serves a frontier model on your local network with tool calling and zero data leaving your desk bookmark this and read the article belowshow more

Midjourney + Kling + Sora. Testing new workflows. Process:... 01. Midjourney for base images 02. Kling Elements to combine 03. Sora Blend MJ Prompt 1: cinematic still, showing the moment a conscious creator designs humanity --ar 16:9 --q 2 --p --s 650 MJ Prompt 2: cinematic still, Mayan shaman wearing intricate ceremonial attire, ancient ritual, light rays and shadows, smoke interacting with light --ar 16:9 --q 2 --p --s 650 Kling Elements Prompt: A cinematic tracking shot follows behind man conducting sorcery in a dark cave as he summons an ancient mayan spirt through a portal. The camera pushes in on the portal passing the mans hand from a low angle as he is conjuring a teal-green portal. Suddenly, an ancient mayan spirit emerges from the center of the portal-exploding onto the scene with an cinematic flair adorned in ritualistic attire and a massive headdress - showing his full body - as he enters the scene with presence and awe. Natural smoky textures billow and pulsate. Shot in cinematic 4k. #midjourney #kling #promptshare Kling AIshow more

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. """show more

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!show more

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 improvisationshow more

Claude Cowork Sub-Agents are f*cking cracked 🤯 One prompt... → 50 competitor ads analyzed, hooks extracted, and a full creative brief generated. 10 AI agents running in parallel, under 5 minutes. All inside Claude Cowork. Perfect for DTC brands and agencies who are still doing creative research and ad production one task at a time inside Claude. If you're analyzing competitor ads one by one, copying hooks into a spreadsheet manually, writing brief after brief from scratch, and watching Claude's output quality fall off a cliff after the 15th variation because the context window is completely bloated... Sub-agents eliminate the entire bottleneck: → Drop in a spreadsheet of 50 competitor ads and spin up 10 parallel sub-agents → Each sub-agent analyzes 5 ads simultaneously — hooks, angles, CTAs, emotional tone, creative format → They report structured summaries back to the main agent without bloating the context → The main agent synthesizes patterns across all 50 ads into a competitive intel brief → Then spin up another round of sub-agents to generate 30 ad copy variations across 10 personas → Each sub-agent writes for 1-2 personas in a fresh context — so variation 30 is as sharp as variation 1 No analyzing ads one at a time. No context window blowing up halfway through. No copy quality degrading after the first dozen variations. What this gives you: → 50 competitor ads broken down in minutes — hooks, angles, CTAs, formats, all structured → Pattern analysis across the full dataset that you'd miss reviewing ads individually → 30+ ad copy variations with persona-specific messaging that actually stays sharp → A workflow you can save as reusable skills and trigger with one command next time → The same output quality on the last task as the first Built 100% inside Claude Cowork with sub-agents. I put together a full DTC playbook: 5 bulk workflows with copy-paste prompts, the exact sub-agent prompting pattern, batching guidelines, and an honest breakdown of when this setup is worth it vs. when a simpler approach is the better move. Want it for free? > Like this post > Comment "AGENTS" And I'll send it over (must be following so I can DM)show more

NASA ARTEMIS II MISSION UPDATE: DAY 7 The crew... and the Orion spacecraft are approximately 57,157 km (35,518 mi) from the Moon. They are also about 380,631 km (236,512 mi) from Earth and are traveling at around 2,029 km/h (1,261 mph). The mission is currently 62.3% completed. Yesterday was a very big day for the mission as this culminated in the Lunar Flyby, which included the closest approach to the Moon at a distance of 4,067 km (6,545 mi), occurring at 11:02 UTC (MET+5/00:25). Following this, a record was set for the furthest distance humans had ever traveled from Earth, at a distance of 406,771 km (252,756 mi), which occurred at 23:02 UTC (MET+5/00:27). The crew also witnessed an Earthrise and solar eclipse during this time, before the lunar observation period concluded. Moving on to today's expected events, first up we have the crew wakeup, which is expected to occur at 15:35 UTC (MET+5/17:00). Following this, Orion will exit the lunar sphere of influence, which is expected to occur at 17:25 UTC (MET+5/18:50). Then, after that, will be the Crew Daily Planning Conference (PDC), which will occur at 18:05 UTC (MET+5/19:30). Moving on to the next event after that is PAO: Orion to ISS crew call (audio only), which is expected to happen at 18:40 UTC (MET+5/20:05). Then, following that, will be the Post Lunar flyby science debrief, which will occur at 19:00 UTC (MET+5/20:25). This will then be followed by a crew off-duty period that will start at 19:30 UTC (MET+5/20:55) and will last until 22:20 UTC (MET+5/23:45). Then, after that, will be the Return Trajectory Correction burn #1 (if needed) at 01:03 UTC (MET+6/02:28). And following that will be crew pre sleep at 04:35 UTC (MET+6/06:00), followed by the sleep period at 07:05 UTC (MET+6/08:30). And don't forget, you can tune into our Artemis II Real-Time Tracking 24/7 stream to watch the rest of the mission! NSF Artemis II Real Time Tracking 24/7 | NSF - NASASpaceflight.comshow more

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.show more

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.show more

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.show more

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 3show more

California VLOG, mostly LA :) Prompt: 15-second high-energy California... travel vlog starring an extremely beautiful playful sensual Japanese girl. Fast-paced multi-shot edit, trendy Gen-Z travel influencer aesthetic, cinematic handheld vlog energy, vibrant California sunlight, youthful chaotic fun, premium TikTok/Reels editing style. IMPORTANT: Keep her appearance and outfits consistent with the reference images: • long black hair • slim curvy body • soft natural makeup • playful bright smile • youthful sensual energy MAIN OUTFITS (consistent across scenes): LOOK 1: black triangle bikini top, oversized loose white button-up shirt worn open, light blue denim shorts, delicate necklace, casual California beach aesthetic LOOK 2: white cropped tank top, light gray high-waisted leggings, sporty influencer vibe LOOK 3: white strapless tube top with loose white sweatpants and black sunglasses VIDEO STYLE: • fast cuts every 1–2 seconds • no slow motion • energetic handheld camera • realistic vlog movement • natural hair physics and clothing movement • authentic sunlight and shadows • playful travel influencer behavior • dynamic camera whip transitions • high-vibes summer energy • realistic environment physics • subtle lens flares • social-media luxury aesthetic AUDIO: Upbeat female-fronted indie rock song with driving drums and electric guitar. Ambient California city sounds underneath. Opening includes soft ASMR whisper close to microphone. OPENING HOOK (0:00–0:02): Extreme close-up selfie angle while walking on Hollywood Walk of Fame. She leans close to camera and whispers softly in ASMR: “California with me today?” She smiles mischievously and immediately pulls camera away into fast transition. SHOT SEQUENCE: 0:02–0:04 Hollywood sign overlook. Wearing white crop top and gray leggings. Wind blowing through her hair naturally while she turns toward the camera smiling. 0:04–0:05 Fast rollercoaster POV shot. Wearing black bikini top and open white shirt. Laughing wildly as wind hits her face. 0:05–0:07 Disneyland castle background. She spins playfully while holding the edges of her oversized white shirt. Bright sunlight, energetic tourists around her. 0:07–0:09 Walking through Beverly Hills in denim shorts and fitted white crop top. Sunglasses on. Confident influencer walk. Quick hair flip toward camera. 0:09–0:11 Venice Beach palms and sand. She pauses, smiles at the ocean breeze, shirt flowing naturally in the wind. 0:11–0:13 Golden Gate Bridge overlook. Wearing sporty white crop top and gray leggings. Camera circles around her as she leans on railing looking at the water. 0:13–0:15 Santa Monica Pier at sunset. She walks toward camera laughing, grabs the camera playfully with one hand, then final fast whip-pan ending on palm-tree-lined California street. COLOR & LOOK: Golden California sunlight, vibrant blue skies, dreamy summer glow, cinematic travel vlog grading, social-media luxury aesthetic, realistic skin texture, natural body motion, energetic editing rhythm. NEGATIVE: No slow motion, no stiff movement, no duplicate people, no unrealistic physics, no floating hair, no uncanny facial animation, no anime style.show more

Made with Seednace 2 prompt: Idol dressing room at... an MV filming studio, midday. In a brief lull while preparing for a fan meeting, a female idol @ image is left alone, filming a behind-the-scenes vlog on her own phone. Bright, bubbly idol energy — genuine smiles, playful expressions, eye contact with the lens, small laughs. Handheld from start to finish, quick and lively, alternating between selfie and mirrorless shots, capturing small moments of the prep process. Eight short cuts flow together, bouncy, within one continuous space and time. Each cut follows the rhythm of a vlog: greeting → introducing the gift bags → putting on a hairpin → detail insert → practicing fan-service poses → a member's voice on a phone call → laughing → excitedly exiting at a staff call. A light ending: excitement as she heads off to meet her fans. Characters CHASE — a Korean idol in her 20s. Long straight black hair (past her chest), elegant yet lovely Korean features, dewy glass skin, coral pink lips, big eyes. Slim yet curvy proportions at 33C-26-34. Wearing a light pink slip dress (thin shoulder straps, V-neckline, shirred waist). Pearl-silver drop earrings. The bright, bubbly star of the vlog, filming herself facing the lens. Storyboard Fan Meeting Prep Vlog (midday, indoors, handheld) The idol dressing room at an MV filming studio. On camera left, a small table stacked with gift bags sent by fans, behind it a rolling garment rack with covered costumes, on the right her phone and hair accessories on a vanity. Above, a door leading to a bright studio hallway. She's alone, hair and makeup done, preparing for the fan meeting while filming a vlog on her phone. Quick, cheerful handheld. (Cut 1 · ~2 sec · front-facing selfie, arm's length) She leans in close to the lens with a bright smile and a quick hand-heart. CHASE: "Morning, everyone — getting ready for the fan meeting!" (Cut 2 · ~2 sec · quick whip pan, handheld POV) Phone swings from the table of gift bags → to the garment rack → to the vanity, then snaps back to her face. CHASE (off-screen, playful): "These are all gifts from you guys!" (Cut 3 · ~2 sec · medium handheld, in front of the vanity) She picks up a ribbon-shaped hairpin from the vanity and clips it into her fringe, tilting her head as she checks the mirror. CHASE: "What do you think, cute?" (Cut 4 · ~1.5 sec · macro insert, tight close-up, shallow depth of field) Detail shot: fingers adjusting the hairpin's position, the pearl-silver earrings swaying in the light. No dialogue — just the soft rustle of fabric. (Cut 5 · ~2 sec · medium handheld, phone tracking her) She practices fan-service poses, making finger hearts at a few different angles, laughing at herself. CHASE: "I think this angle works!" (Cut 6 · ~2 sec · snappy cut, close handheld on the sofa) She sits on the sofa, her phone rings, she answers on speaker, and bursts out laughing at a member's voice. CHASE (laughing): "Hey, I was literally filming right now!" (Cut 7 · ~1.5 sec · quick punch-in, tight selfie) Still on the call, she shoots a playful side-eye at the lens and pouts. CHASE: "Why is she like this—" (Cut 8 · ~2 sec · arm's-length selfie finish) An off-screen staff knock — her eyes widen with excitement. A quick wave, a big wink with both hands making heart shapes, then she jumps out of frame — the camera lingers on the vanity for half a beat. CHASE (shouting as she jumps up): "Off to meet my fans — bye~!"show more