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255M views on a 3D Short by Zack D. Films i tried to rebuild his style with ONE Claude prompt, then ran it on Opus 5.5 and Fable 5.2 (they did NOT make the same Short) the full prompt is below ↓ paste it into Claude Code in an empty folder and answer its 2 questions. it shows u the script and waits for ur go. u need Blender + its free MPFB add-on and a graphics card. give it a few hours (the prompt is minus one optional paid-voice line) Ask me 2 things, then wait: 1. The story in one line: a strange TRUE event where one person did one odd physical thing ("He tied 42 weather balloons to a lawn chair."). If I say "you pick", pitch 3 with one source link each and take the first unless I choose. 2. The voice. Default: Kokoro (free, runs on my computer), a calm, warm male narrator. Then tell me everything else is free: Blender (find my install, or tell me the one download), its free MPFB extension for human bodies (ask me before you install it) and into this folder a Python venv with FFmpeg (imageio-ffmpeg), kokoro-onnx + its model files (kokoro-v1.0.onnx and voices-v1.0.bin from the kokoro-onnx GitHub releases), faster-whisper (small.en), numpy and Pillow. It needs no API key or account and renders on my graphics card with EEVEE. The look: a clean, realistic 3D world, like a good game cutscene. Bright, saturated, a little filmic. - People: realistic bodies with generic faces and big readable expressions (shock, a smirk, a scream). Plain clothes, no logos. Never a real person's likeness: for a real person keep the face out of close-ups (hands, back, side, distance, straight top-down). - CALM shots only. Bodies in fast action or contact (running, jumping, fighting, falling) look stiff, so tell the story with frozen moments under a slowly moving camera, macro inserts of hands and objects, rooms, vehicles, the sky, top-down views and the aftermath. - One new picture for every caption chunk (2-4 words, about 1-1.5 s): a new framing, a new action or a camera move. Nothing ever holds still: every shot drifts, pushes in or orbits. - The shot kit: macro insert (extreme close-up of the key object or hands, very shallow depth of field), hero low angle (wide lens at waist height), god's-eye top-down with a slow rotate, tracked object, over the shoulder, smash zoom on the word that matters, whip pan between beats, glow highlight (the named object glows orange with a rim, then fades), a big 3D number lying in the scene, a thought bubble (a cloud ring showing what he hoped for), a TV in the scene replaying the event. - Light: a bright warm sun, blue sky with clouds, soft shadows. Night scenes use hard lamps and a dark sky. Wide lens up close, depth of field on every shot, motion blur on every fast camera move. - Captions: 2-4 words at a time, white bold rounded sans, about 64 px on a 1080 px-wide frame, centred, 78% down the frame, soft dark shadow, no box. Each chunk replaces the last on the same frame as its picture. - Banned: real footage, photos, downloaded textures or 3D models, logos, AI images or AI video, downloaded music, gore. 38-50 s, 100-140 words, 150-180 words a minute. The voice starts at 0.0 s. - Line 1: the most surprising physical act, in past tense, opening with "He" (or "She"). No name, date or setup. Frame 1 shows that act. - Then a cause-and-effect chain: every sentence starts with a hinge word (Then, Suddenly, So, Because, But, Later) and is ONE visible action. - The context arrives late, after "You see,". - A reveal: someone looks closer and the story turns. - The last line is the consequence. No call to action, no question. - Names are rare: use one only when it pays off. Title = "He ..." or "The Man Who ...". The cover is the first frame. Save every stage to disk so a crash never costs more than one stage. - sources.md: every fact with its link and the date you read it. Anything you can't verify stays out. - script.json: the lines and the caption chunks cut by hand (2-4 words, one picture each), each chunk with its shot: the set, the camera, what moves. - Kokoro reads the whole script in one take (speed 1.0-1.1) and pauses are squeezed to 0.35 s at most; faster-whisper times every word (pass it a 16 kHz numpy array, not a path); write chunks.json with each chunk's start and end. A picture and its caption switch together on frame round(start*30)+1. - blender/: Python scripts run headless (blender -b -P). makes one .blend with the sets, the cast, the props and every shot baked with a key on every frame. sets EEVEE with ray tracing, the AgX view with the Punchy look, motion blur, depth of field and bloom in the compositor. Bodies come from MPFB or are built by you; clothes, hair, props and sets are built in code. - Stills first: one half-size still per shot as a contact sheet. Look at every tile and fix what's off before any full render. Time one full-size frame and tell me the estimate. - Render 1080x1920 at 30 fps to PNG frames, skipping frames already on disk. - numpy only: a light music bed, a sound on every action (a whoosh on each whip pan, hits, wind, room tone), ducked under the voice, mastered to -14 LUFS on the whole stereo mix. - burn the captions in from chunks.json. Encode out/_9x16.mp4 (1080x1920, 30 fps, TV-range yuv420p) and out/_x_7x8.mp4 (1008x1152, under 10 MB, 2-pass): a crop of the 9:16 frame that keeps the subject and the caption. - Blender paths: pass absolute output paths (a relative one lands on the drive root). - MPFB headless: enable it with addon_utils.enable("bl_ext.user_default.mpfb"). Bake a body's shape keys before you pose it: the rig is fitted to the baked shape. - Clothes: cut them from the body mesh and push them 7-16 mm out along the normals; keep two rings of body faces under every hem. - Nothing coplanar: keep every resting object 1 cm off its neighbour and draw ground markings into the texture, or they flicker. - Hair: EEVEE draws hair only from a Curves object, hair type STRIP. Use a Principled BSDF on it (the Hair BSDF renders black). - Skin: keep subsurface weight near 0.2 (more turns faces black in EEVEE) and add a soft fill light from below under a noon sun. - Hands: a curled hand reads as a claw from the palm side, so shoot a grip from behind the knuckles. - Motion blur: shutter position START, a key on every frame, plus a key half a frame after each shot's last frame, so blur never reaches across a cut. - Check: run a black-frame and one-frame-flicker check on the render. Make a contact sheet (a frame every 0.5 s) and look at every tile: the act reads in the first 2 s, faces are lit, nothing clips through anything, captions stay off faces and key objects. Then step through the first 2 s, the middle and the end frame by frame. Fix, render only the changed shots again. Pitch (or take my story), then show me the script with the word count, the caption chunks with their seconds and the shot list with what the first frame shows. Build nothing until I say go. how the two runs went: one run each on the same PC, so it's one sample, not a ranking. both took under 3 hours on one shared 8 GB graphics card. the story for both: a man who tied 42 weather balloons to a lawn chair in 1982 where they split: -> Opus opened wide on the balloons over the yard. Fable opened on the man kneeling at the chair with his Jeep behind him -> Opus put 5 big 3D numbers in its scenes, Fable 2 -> Fable followed the caption spec (white text, soft shadow). Opus went ALL CAPS with a thick outline -> Fable pulled the Smithsonian's own record and ended on the chair in the museum. Opus ended on the $1,500 fine -> a few Opus shots are hazy and one opens on a blank grey frame save this for ur next Short. who did it better, Opus or Fable?

THIS IS GENUINELY THE MOST TERRIFYING THING I'VE EVER WATCHED they took the full wiring of a fruit fly, 166,700 neurons, and plugged it into an android hanging from the ceiling the fly it came from has been dead for years 1,000 artificial muscles, a skeleton, no face the fly brain was built for six legs and two wings this body has two legs, two arms and nothing to fly with nobody told it > minute 1, a twitch in the fingers > minute 4, the toes start curling like it's testing what it's attached to > minute 9, the knees lift one after the other, it's trying to walk on air > minute 20, someone walks underneath it and the kicking speeds up, you can hear the cables creak > minute 31, the lights go off and every muscle locks at once it found the rhythm a fly walks with and forced it onto human legs and when the lights went off, it did exactly what a fly does when a shadow passes over it, it froze and got ready to launch then came the part that made the room go quiet > it brought both hands up to its chest > started rubbing them together > slowly, over and over > the way a fly cleans itself there is no code in that body that tells it to do that it's 166,700 neurons doing what they've done for millions of years, inside a body they were never meant to have right now the cables are the only thing holding it up it learned to walk in one afternoon nobody wants to find out what it learns in a month and the next brain they're mapping is a mouse, 70 million neurons, about 400 times bigger than this one

PROMPT SHARE: The biggest AI breakthrough isn’t realism. It’s presence. #AIVideo# #Marketing# #Advertising# The people, movement, noise and unpredictability give the world a sense of life beyond the camera. That’s when generation starts becoming experience. ➜ Image Prompt: Photography & Cinematography Create an ultra-realistic nighttime street portrait with the raw, spontaneous look of early-2000s nightlife photography. Direct on-camera flash illuminates the subject sharply against a much darker city background, with natural grain, slight highlight blowout, deep shadows, imperfect exposure and authentic point-and-shoot character. No fake or plastic skin, no beauty filtering, no CGI or animated appearance. Character & Pose A striking young man with rugged, high-fashion model features, lean athletic build, sharply defined jawline and cheekbones, strong brows, full lips and short dark hair styled wet and tousled with loose curls falling onto his forehead. Natural pores, subtle facial texture and realistic imperfections. He sits casually on the edge of a city curb at night, legs spread asymmetrically, one knee raised toward the camera. One forearm rests loosely across the raised knee while his other hand reaches down beside him toward a small shaggy brown dog partially entering the bottom of the frame. He looks directly into the camera with a serious, confident expression. Outfit Fitted black long-sleeve turtleneck, faded distressed gray-blue jeans with worn areas and small rips, and a black leather belt. Silver pendant necklace, small hoop earring, chunky silver cuff bracelet, dark oversized wristwatch, and a thin bracelet. Styling feels slightly rebellious, understated and naturally lived-in rather than polished. Environment A busy urban nightlife street after dark. Several casually dressed people walk behind him, cropped naturally by the frame, while parked and passing cars create scattered headlights and small pools of distant light. The pavement is gritty and imperfect with curbs, cracks and ordinary street details visible. Keep the background activity believable and incidental—the image should feel like a real moment caught outside a club or late-night gathering, not a staged fashion shoot. Wide horizontal composition, intimate close-range flash photography, authentic real-world energy.

Seedance 2.0 via dola. Prompt : 15-second vertical 9:16 Japanese 2D anime short, satisfying cleaning transformation. Hand-drawn cel animation look, clean black ink outlines, vivid colors, soft cel shading, manga-style editing with speed lines, halftone screentone dots, sparkle effects and white impact flashes. Studio-quality anime production, smooth motion, 24fps. Subject: a worn, dirty shoe insole (brown-gold stains, footprint imprint) lying on a brushed stainless steel counter, shot from directly above. An anime-style hand (no face, no body, only hand and forearm visible) holds a small black spray bottle with a green cap. Cool silver background with soft window light and tiny water droplets. Shot 1: Locked top-down shot, 3 seconds. The dirty insole lies on the steel counter, a hand presses it flat. Dust motes float, subtle halftone vignette at the corners, thin speed lines drift in from the edges. Shot 2: Close top-down shot, 3 seconds. The spray bottle sprays a fine mist onto the insole, thick white foam bursts outward and spreads across the surface, bubbles catching sparkles. A one-frame white impact flash with radial ink lines on the first burst of foam. Shot 3: Tight overhead shot, 3 seconds. The hand rubs the foam in circular motions, the brown-gold dirt dissolves into the white foam and streams toward the edge in curling ink-like swirls. Dynamic motion lines follow the hand. Shot 4: Overhead shot, 3 seconds. A rinse of clear water washes the foam away, the insole is flipped over in one quick whip motion, revealing a bright clean white surface. Glittering sparkles and shine streaks pop across it. Shot 5: Slow push-in from above, 3 seconds. The spotless white insole gleams on the steel counter, the hand sets the bottle down at the corner. Final sparkle burst, soft glowing light, manga-style screentone vignette, held for the last beat like a manga cover panel. Audio: crisp spray hiss, fizzing foam crackle, rhythmic scrubbing, flowing water, a bright sparkle chime on each shine effect, soft upbeat Japanese lo-fi beat underneath. No speech, no singing. Avoid: faces, realistic live-action look, 3D render, text, subtitles, logos, brand names, extra fingers, deformed hands, flicker. 15-second vertical 9:16 Japanese 2D anime, satisfying cleaning transformation, top-down shot. An anime-style hand (no face) sprays foam onto a dirty brown shoe insole on a stainless steel counter, scrubs the foam in circles, rinses it, and the insole turns bright clean white with sparkle effects. Manga-style speed lines, halftone dots, and a white impact flash on the first foam burst. Audio: spray hiss, foam crackle, scrubbing, water, light sparkle chimes, soft lo-fi beat. No faces, no text, no logos.

之前经常用 TUN 模式，由于劫持了所有域名的 DNS，有时会导致一些奇怪的应用出问题（例如直接用 IP 访问的），而且 ping 域名的时候看不到真实 IP 也不方便调试。 所以我做了个 tunless，在 socket 层面上拦截 TCP/UDP 连接，并做转发。这样 ping google 看到的就是真实的 IP，curl 也是通的。目前我自己用了快一个月了，也修了不少 bug，现在开源出来。

10. 增强版curl，完美模拟真实浏览器指纹。你的请求看起来就像真人用Chrome。 那些昂贵爬虫API背地里用的小把戏，现在免费给你。有公司为这个月付2000块。