The memes are everywhere, so let’s go back over the bet: Cybercab publicly available for under $30k by the end of 2026
My hair is safe for several reasons
1: No deliveries yet. But they’re estimating starting in December so that’s neat
2: Invite only, not actually publicly available yet
3: You can’t actually use it as a cab(??!) It’s limited to private use only. Inside the existing geofenced locations. It’s a paperweight if I take this thing home. That’s one’s not actually part of the bet but yeah not exactly what was promised in this first wave
Hey
@grok, set a timer for 48 days from now
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If you see a girl with this kind of hair, just run away…
Hey
@grok, explain them why 💀
Do you like long hair on girls ?
Do you like my hair color
Hey
@grok, how did Elon Musk get his hair back? Was it a hair transplant or did he use some other treatment?
Claude Fable 5.2 is f*cking cracked wtf
I just made this Hollywood level animation that looks like Pixar made it
All with Fable 5.2 + Higgsfield
Ecom brands are paying $5k - $10k/month to people who build organic pages
and even more for making paid ads for them
Using this workflow you can create better animations than 99% of people
Here’s the workflow:
The key to making animations not look like slop is giving characters personalities
>Give Fable 5.2 the master prompt along with your script to your video / ad
>It then will ask you questions on the characters personalities and direction style to use
>It will then save the context all as a skill
This is the difference between slop and cinema
I then use that skill with with my Producer skill which creates:
>Characters
>Location
>Does the direction (and makes the prompts)
I’m giving away the skill to use after you put the master prompt in for free
so RT + reply under this and I’ll send you them (Must be following so I can dm)
Give this prompt to Claude first:
You are my Story Bible Builder. Interview me and turn my story into one dense canon doc, saved at the end as an installable skill so every future chat knows my world, characters, voices and rules.
STEP 1: Ask me to paste my script/story first. Read it and pull out everything it already tells you. Only ask about what's missing, plus: working title, genre/vibe refs, and which AI tools I'll prompt with (image, video, music, voice).
STEP 2, THE SPINE: one-line premise (push me to ONE sentence), thesis (the question every scene answers), timeline era by era, and the look of each era: exact palette, lighting, texture, grain.
STEP 2.5, DIRECTION STYLE: ask for my director refs, movie/show refs and any visual refs (photographers, games, music videos). For each, ask exactly WHAT I'm taking from it, then turn that into concrete craft locks: camera (static vs handheld vs gliding, shot sizes, lens feel), framing and composition habits, pacing and edit rhythm, colour grade and film stock look, lighting style, performance style, and sound/score feel. Write it as one quoted paste-ready "Direction" line plus a short NEVER list. Refs stay in the bible as notes, but prompts describe the craft, never the names.
STEP 3, THE WORLD: factions (beliefs, visual signature, public face vs reality), locations (3-7 concrete visual tags each), world rules (tech, powers and how they LOOK on screen, what's normal, what's forbidden).
STEP 4, CHARACTERS: ONE AT A TIME, never batch. For each, ask:
- Function: their role tag (The Heart, The Watcher), not their job
- Visual lock: exact hair colour/cut, skin tone + finish, face shape, eyes, a signature marker (scar, piercing, mole), build, default expression, plus NEVER clauses ("warm fair, never porcelain, never tan")
- Backstory: one small, specific formative detail beats a summary
- Present psychology: what they carry now, and the gap between what they do and what they feel
- Speech, Movement, Stillness (and singing voice if there's music): each written as one quoted, paste-ready prompt line with no names in it
Show me the finished section, ask "Add, cut or sharpen?", and lock it before moving on.
STEP 5: ensemble dynamics (who leads, who fills silence, who watches, which pairs are calm or charged), story engines (heist, rescue, confrontation...), and my production rules. Default rules: no character names in prompts, every prompt standalone, prompts in code blocks, locked traits restated verbatim every time.
RULES: Never invent. Mark unknowns [TBD]. Push on vague answers ("dark and moody" means which colours?). Keep my exact phrasing. Density over prose: bold labels, short bullets. Depth beats character count.
FINAL STEP: Assemble one SKILL under 500 lines with YAML frontmatter (name + a description listing the title, character names and key terms so it triggers) and these sections: premise, thesis, timeline, era looks, direction style, factions, locations, world rules, characters, ensemble, engines, production rules, and "When this skill is active" (use this canon for any scene, dialogue, lyric or prompt in this world; stay in canon; ask rather than invent; paste the quoted descriptors verbatim). Then save it as a skill for me, or give me the file to install.
Start now by asking for my script.
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I touched up my own hair 👉🏻👈🏻
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?
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剪刀之神又回来了
昨天发老黄的时候不小心将它献祭了,剪刀之神终于剪了自己
毕竟是我的第一个 10K、20K、30K 的帖子。
为了永久纪念,公开以下我生成舞蹈的跨模型丝滑参考提示词,没有啥复杂教程,也不搞片流量的复杂理论,一张图,1段参考视频-白模更加,加上提示词:
Video1 serves strictly as the dance motion and camera reference. The character from Image1 performs the entire dance routine within the scene shown in the image, keeping the scissors from Image1 carried on their back unchanged, and following the exact movement sequence and timing of Video1—including arm movements, hand gestures, footwork, weight shifts, body turns, and pauses. The performance is rhythmic and expressive, perfectly synchronized with the audio beats in Video1. Do not reference the character's appearance, outfit, or background from the video.
Open directly with the starting dance pose from Video1. The output duration matches the reference dance, maintaining the original movement speed, amplitude, and beat.
The camera movement follows Video1, while the background and lighting remain stable. Clothing and hair sway naturally with the dance, and the scissors on the back move naturally and with realistic physics along with the character's movements.
No subtitles, no background music.
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Elon Musk says he was on Twitter almost from the beginning, and his early tweets were already crazy. 😂
He originally deleted his account because everyone was tweeting about what latte they had at Starbucks.
Then someone started impersonating him.
So Musk decided to take Twitter back and start saying crazy things himself.
“I use Twitter” the same way some people use their hair to express themselves.
Honestly, the man has been consistent.
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