Abdul Șhakoor
@abxxai • 19,129 subscribers
Content Creator | AI Film maker | CEO @ Elegance | Follow for easy-to-digest content on AI and technology.
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Decart just dropped Lucy 2.5 and it completely changes what live video can do. This is their Live AI model that edits video as it streams, no post production needed. > add, replace, or remove anything mid stream > restyle entire scenes on the fly > generate realtime VFX with a single prompt > better prompt adherence and more realism than before > already live across streaming, e-commerce, and advertising We are officially in the era where AI does not just generate video, it directs it live.
Abdul Șhakoor207,955 görüntüleme • 1 ay önce
tell me this isn't real GoPro footage.. catch it, clean it, grill it, eat it, all 100% AI with Seedance 2.5 prompt👇 SCENE CONTEXT POV river-to-campfire sequence at a jade-green alpine river through birch/cedar forest, late-afternoon light. A trout is caught, cleaned, seasoned, grilled over an open fire, then eaten, with one sip from a glass bottle while it cooks. 30s, four continuous segments, three hard cuts, real chest-mounted action camera. ACTIVE REFERENCES Veranstaltungsräume: jade-green river, granite boulders, gravel bar, stone fire-ring, tree-stump table, birch/cedar tree line, faint peaks. 100% matches reference. Hannah Sykes: sun-tanned forearms, light-blond arm hair, olive sleeve rolled to elbow, braided wrist cord. Same fly rod, folding knife, wood board, wire grill basket, plain glass bottle, brown fizzy liquid, no label. 100% matches reference. LOCATION MAP Segment A: river foreground, tree line behind. Segments B-D: gravel bar foreground, fire-ring and stump table midground, tree line and peaks background. POV chest-to-eye height, moving only with the body. Key light low, behind camera-left. FIRST FRAME / BLOCKING Non-empty opening frame: already mid-cast, rod raised, line already peeling off the reel. Water fills the lower two-thirds, forest/sky the top third. FORMAT MODE Controlled multi-shot, three HARD CUTs, camera does not cut anywhere else: A (0-9s) river, one continuous take. HARD CUT. B (9-21s) board, one continuous take. HARD CUT. C (21-27s) fire, one continuous take. HARD CUT. D (27-30s) eating, one continuous take. OPTICS 84° in A easing to 63° through the fight. 63° easing to 18° across B. 63° opening to 29° in C. 29° held in D. No drift within any segment. CAMERA Chest-height POV, moving only with body motion — forward stroke on the cast, downward tilt on the knife and grate, forward lean when hands work close. Soft highlight roll-off on bright water and hot metal. ACTION A: rod arcs, line whistles; tip snaps down as the trout strikes; rod pumps, reel clicking, fish surfacing closer each pump; hand closes behind the gills, lifts the fish clear, holds it still one beat as water streams off. B: boots cross the gravel, fish set on the board, knife meets scales, scrapes tail to head; one clean line opens the belly, organs lift free; fish rinses in the shallows, pink cloud drifting off; salt, pepper, herbs scatter over the flesh; fish folds into the basket, latch clacks. C: kindling catches from a breath, flame licks up; basket lowers onto the grate, skin bubbles and browns, smoke lifts. D: bottle tips up for one swallow; fork pauses a half-second at the flesh before splitting it open, steam lifting as a piece rises toward camera, one quiet exhale closing the shot. PERFORMANCE Hands stay continuously busy with real working tasks, never idle. Pore-level realism: vellus arm hair in the breeze, capillary flush from cold water. Movements read practiced, unhurried, one deliberate pause at the fish-lift and one at the first bite, restrained and human, never cartoonish. PHYSICS No floating props. Correct contact shadows under every prop, every segment. Water carries real weight and splash. Fire holds true flicker, heat-shimmer, smoke on a light breeze. Mass and inertia carry through the rod bend, the fish's thrashing and the latch. LIGHTING WB locked 5600K, warm low sun behind camera-left as key, cool sky fill through A-B. From C onward, ember-orange fire light adds a low rim on hands and fish alongside the same key. COLOR GRADE Cool jade-green river/forest in A, warm honey wood and pale gravel in B, ember-orange fire glow and seared skin in C-D. Color tied to source and surface, not a flat list. AUDIO Warm acoustic guitar bed under everything, mixed low, sitting quietly beneath the natural sound. Diegetic: river current and line-whistle opening A, splash and reel-drag through the fight; gravel footsteps opening B, knife-on-wood, one clean cut sound, rinse-splash, hinge-click closing it; twig-snap opening C, crackle into sizzle; glass clink and swallow opening D, fork scrape, steam hiss, one quiet chuckle closing the shot. No subtitles. STYLE 8K photorealistic — no 3D render, no game engine, no game-cutscene aesthetic. Naturalistic master cinematography, fine film grain, true action-camera color science. OUTPUT SETTINGS Real-time throughout, no speed ramping, FOV holds exactly as stated per segment with no drift across any hard cut. POSITIVE LOCKS Same hands, sleeve and wrist cord across all four segments. Same rod, knife, board, basket and bottle, no substitutions across any cut. Same river, gravel bar and fire-ring geometry held across every segment. Fish skin and flesh stay anatomically real. Eyes stay natural — no eye glow. Contact shadows read clearly every segment. No logos, no UI, no subtitles anywhere in frame.
Abdul Șhakoor55,994 görüntüleme • 22 gün önce
The progression in Ai of Will Smith eating spaghetti (2023 - 2026). The 2026 version is a MUST watch. 🤯
Abdul Șhakoor84,681 görüntüleme • 4 ay önce
This repo is going viral. Why? Claude Fable 5 just came back online. GPT-5.6 is on the way. Every major AI lab is racing to ship the next frontier model. But here's the question nobody's asking: how much do you actually trust the agent you're about to deploy? Someone built a way to answer that in 5 minutes instead of guessing. iFixAi reads your agent's real tools, rules, and permissions, builds a full test around them, and grades it using a completely different vendor's model. Nothing ever scores its own homework. Most teams already have red teaming in place. What they don't have is red teaming combined with operational assurance, so the checks that catch a problem before launch never actually run again once the agent is live. Here's what changes with this: - Every startup shipping an AI agent gets an independent trust score before a single customer touches it - Enterprises can finally compare Fable 5, GPT-5.6, and every other model on the exact same fixture, apples to apples - CI pipelines catch an agent's behavior silently degrading release over release - Regulators get a standardized, reproducible audit trail instead of just trusting a vendor's word 45 inspections. A to F grade. Any model, any provider. 100% open source.
Abdul Șhakoor29,216 görüntüleme • 2 ay önce
F1 Rain Chase GPT + Seedance + ElevenLabs Workflow and prompts are in the replies.
Abdul Șhakoor16,782 görüntüleme • 2 ay önce
Daha fazla içerik yok.