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Full unedited. 8 min 31 sec. Same wedding night. Same tiny Asian. No cuts. 💨🥵🍆💦 #AsianCumdump #RawBreeding

felipe miller

11,932 subscribers

13,037 views • 9 days ago •via X (Twitter)

NSFW #AsianCumdump #RawBreeding

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You only need 45 minutes twice a week to build muscle: – Pick 8-10 compound exercises covering your full body (chest, back, legs, arms) – Train twice a week, 45 min per session – Add 6 min of sprint intervals on an air bike, 2x per week – Sprint protocol: 1-1.5 min warm up, then 3 x 20 sec all-out sprints with 1 min rest between each – 6 min of sprints = same results as 45 min of steady-state cardio 6x Mr. Olympia Dorian Yates on Andrew D. Huberman, Ph.D.

You only need 45 minutes twice a week to build muscle: – Pick 8-10 compound exercises covering your full body (chest, back, legs, arms) – Train twice a week, 45 min per session – Add 6 min of sprint intervals on an air bike, 2x per week – Sprint protocol: 1-1.5 min warm up, then 3 x 20 sec all-out sprints with 1 min rest between each – 6 min of sprints = same results as 45 min of steady-state cardio 6x Mr. Olympia Dorian Yates on Andrew D. Huberman, Ph.D.

Huberman Lab Clips

42,903 views • 20 days ago

Same boy. Same weight. Different result. ⚖️ That’s the Power of Pressure. Pressure is not force. Pressure = Force ÷ Area(P = F / A ) His weight F barely changes. What changes is the area that weight is spread over. One paper cup → tiny contact area → huge pressure → cup collapses. Several cups and a plate on top → much larger area → pressure per cup drops → they hold him. The plate matters. It spreads the force so no single cup takes the full load. This is why: • a sharp knife cuts, a blunt one doesn’t • heels sink in sand, flat shoes don’t • a bed of nails works, one nail doesn’t Force stays. Area decides the damage. Power of physics 🧪

Same boy. Same weight. Different result. ⚖️ That’s the Power of Pressure. Pressure is not force. Pressure = Force ÷ Area(P = F / A ) His weight F barely changes. What changes is the area that weight is spread over. One paper cup → tiny contact area → huge pressure → cup collapses. Several cups and a plate on top → much larger area → pressure per cup drops → they hold him. The plate matters. It spreads the force so no single cup takes the full load. This is why: • a sharp knife cuts, a blunt one doesn’t • heels sink in sand, flat shoes don’t • a bed of nails works, one nail doesn’t Force stays. Area decides the damage. Power of physics 🧪

Raghu

1,913,244 views • 16 days ago

I BUILT "GROK BATTLE" AND MADE GROK, GPT AND CLAUDE TRADE THE SAME ROBINHOOD STREAM WITH REAL MONEY TO SEE WHO MAKES MORE $500 each. same stocks. same account. same 24 hours. the only difference is the brain inside each pipeline grok made $4,800. claude made $1,640. gpt made $380. same stream, same entries available, three completely different results the part that broke my brain: all three saw the same SMCI earnings setup at 09:31. grok entered at open with a full bracket. claude waited fourteen minutes for volume confirmation. gpt wrote a two page analysis and entered after the gap was already priced in. grok rode it to the target. 8.4x on options that one decision is the entire gap between $4,800 and $380 here is what each model actually does differently > grok: fastest to decide. sentiment scoring is wild, it catches momentum before the first candle closes. but it overbuys. 23 entries in 24 hours, 14 of them stopped out. the winners are so big they cover everything > claude: most conservative. only 7 entries. five of them hit target. its checker is brutal, killed thirty one setups that grok took. but it also killed four that would have printed. safe money, slow money > gpt: smartest analysis, worst timing. writes the best reports on why a stock will move. by the time it finishes thinking the move is over and the entry is dead. 9 entries, 4 wins, but every win was small because it entered late the scoring breakdown > sentiment speed: grok 0.92, claude 0.71, gpt 0.84 > checker kill rate: claude 94%, grok 78%, gpt 86% > average entry delay from signal: grok 4 sec, claude 14 min, gpt 22 min > average hold time: grok 4.2 min, claude 11.8 min, gpt 22.6 min the model that thinks the best trades the worst. the model that decides the fastest makes the most. the model that says no the most loses the least that is the line i keep rereading every prompt, every scoring matrix, all three configs side by side. fork whichever brain fits your risk CA - 0x89C83B0b4CAC90a698EB98917852A7fA45F1E25D link below

I BUILT "GROK BATTLE" AND MADE GROK, GPT AND CLAUDE TRADE THE SAME ROBINHOOD STREAM WITH REAL MONEY TO SEE WHO MAKES MORE $500 each. same stocks. same account. same 24 hours. the only difference is the brain inside each pipeline grok made $4,800. claude made $1,640. gpt made $380. same stream, same entries available, three completely different results the part that broke my brain: all three saw the same SMCI earnings setup at 09:31. grok entered at open with a full bracket. claude waited fourteen minutes for volume confirmation. gpt wrote a two page analysis and entered after the gap was already priced in. grok rode it to the target. 8.4x on options that one decision is the entire gap between $4,800 and $380 here is what each model actually does differently > grok: fastest to decide. sentiment scoring is wild, it catches momentum before the first candle closes. but it overbuys. 23 entries in 24 hours, 14 of them stopped out. the winners are so big they cover everything > claude: most conservative. only 7 entries. five of them hit target. its checker is brutal, killed thirty one setups that grok took. but it also killed four that would have printed. safe money, slow money > gpt: smartest analysis, worst timing. writes the best reports on why a stock will move. by the time it finishes thinking the move is over and the entry is dead. 9 entries, 4 wins, but every win was small because it entered late the scoring breakdown > sentiment speed: grok 0.92, claude 0.71, gpt 0.84 > checker kill rate: claude 94%, grok 78%, gpt 86% > average entry delay from signal: grok 4 sec, claude 14 min, gpt 22 min > average hold time: grok 4.2 min, claude 11.8 min, gpt 22.6 min the model that thinks the best trades the worst. the model that decides the fastest makes the most. the model that says no the most loses the least that is the line i keep rereading every prompt, every scoring matrix, all three configs side by side. fork whichever brain fits your risk CA - 0x89C83B0b4CAC90a698EB98917852A7fA45F1E25D link below

zostaff

13,064 views • 21 days ago

> Claude + Copytrading just printed $1,238,417.50 > One trader > 24 exact copytrading strategies > No 24/7 monitoring > No custom bots > No guesswork > Just Claude helping you mirror the best wallets on Polymarket > Standard Signal for balance or Sniper Signal for lightning momentum > From $15 survival budgets to $1,000 Shark mode > Conservative. Balanced. Very Aggressive. > Every level has bulletproof settings > The same trader who dropped $1.2M+ on events is now copyable in seconds > Tiny deposits survive > Aggressive ones ride the spikes > Risk management baked in so you never get wrecked The full breakdown of how Claude + copytrading turned small money into seven figures. 7 min read below.

> Claude + Copytrading just printed $1,238,417.50 > One trader > 24 exact copytrading strategies > No 24/7 monitoring > No custom bots > No guesswork > Just Claude helping you mirror the best wallets on Polymarket > Standard Signal for balance or Sniper Signal for lightning momentum > From $15 survival budgets to $1,000 Shark mode > Conservative. Balanced. Very Aggressive. > Every level has bulletproof settings > The same trader who dropped $1.2M+ on events is now copyable in seconds > Tiny deposits survive > Aggressive ones ride the spikes > Risk management baked in so you never get wrecked The full breakdown of how Claude + copytrading turned small money into seven figures. 7 min read below.

m|i|ster

24,290 views • 5 months ago

A Mac Mini M4 ran 3 hours 50 minutes on a pocket power bank. It idles at 1.5 watts. Light work pulls 3 to 5 watts. The same machine that once needed a wall outlet now sits on a desk as a full home server, drawing less power than a night light. An iPad becomes the wireless display. Touch works. Apple Pencil works. Then the Vision Pro takes over for a bigger screen. The tiny bank never dropped below critical. No wall plug. No UPS. Just the Mac Mini doing real work for almost 4 hours. That efficiency is why the M4 Mini is the new default for always-on home servers. Quiet. Tiny. Cheap to keep alive. The power bank still had charge left.

A Mac Mini M4 ran 3 hours 50 minutes on a pocket power bank. It idles at 1.5 watts. Light work pulls 3 to 5 watts. The same machine that once needed a wall outlet now sits on a desk as a full home server, drawing less power than a night light. An iPad becomes the wireless display. Touch works. Apple Pencil works. Then the Vision Pro takes over for a bigger screen. The tiny bank never dropped below critical. No wall plug. No UPS. Just the Mac Mini doing real work for almost 4 hours. That efficiency is why the M4 Mini is the new default for always-on home servers. Quiet. Tiny. Cheap to keep alive. The power bank still had charge left.

HodlReaper

12,887 views • 1 month ago

I MADE MY 3 CLAUDE BOTS COMPETE AGAINST EACH OTHER Same bankroll, different strategies, no overlap. Started at 7:17 PM, stopped 24 hours later. One fast, one patient, one reads patterns. MACD - 147 trades, hold time 8 min, sees volume spike and gets in before the crowd, win rate 61%, Sharpe 1.4, P&L: +$389 RSI + VWAP - 23 trades, hold time 4 hours, waited for extremum, RSI above 80 VWAP confirmed - entered against the crowd, win rate 74%, Sharpe 2.1, P&L: +$641 CVD - 31 trades, hold time 47 min, price goes up but money flows out - sells, price drops but money flows in - buys, win rate 58%, Sharpe 1.8, P&L: +$937 24 hours - +$1,967 Not a single trade overlapped, three bots one market three different answers. CVD won not because it's right more often but because when it's right it takes more. Correlation between them 0.12, when one loses the others don't lose with it. Diversification by logic.

I MADE MY 3 CLAUDE BOTS COMPETE AGAINST EACH OTHER Same bankroll, different strategies, no overlap. Started at 7:17 PM, stopped 24 hours later. One fast, one patient, one reads patterns. MACD - 147 trades, hold time 8 min, sees volume spike and gets in before the crowd, win rate 61%, Sharpe 1.4, P&L: +$389 RSI + VWAP - 23 trades, hold time 4 hours, waited for extremum, RSI above 80 VWAP confirmed - entered against the crowd, win rate 74%, Sharpe 2.1, P&L: +$641 CVD - 31 trades, hold time 47 min, price goes up but money flows out - sells, price drops but money flows in - buys, win rate 58%, Sharpe 1.8, P&L: +$937 24 hours - +$1,967 Not a single trade overlapped, three bots one market three different answers. CVD won not because it's right more often but because when it's right it takes more. Correlation between them 0.12, when one loses the others don't lose with it. Diversification by logic.

zostaff

639,378 views • 6 months ago

POV: you wanted a cute mirror selfie, but your dog wanted to be the main character Made with Seedance 2.5 Prompt ↓ REFERENCE & SUBJECT CONSISTENCY Use "@<image1" as the exact visual reference for the woman. Maintain identical identity, face, hairstyle, clothing, body proportions, skin texture, and natural appearance. Use exactly ONE small playful dog throughout the entire video. The dog must remain the same individual throughout. No duplicate animal and no other animal. FORMAT 30-second continuous vertical smartphone selfie video. The woman is standing in front of a full-length indoor mirror while holding the phone in one hand. The phone camera is the only camera. Natural window daylight enters from the side. Realistic mirror reflection. No cuts, no transition, no zoom. Natural handheld phone movement. --- 0–5 SEC — MIRROR SELFIE The woman is casually filming herself through the mirror. She adjusts a strand of hair while looking at the phone screen. The dog is initially lower in frame, partially beside her legs. She does not notice it immediately. The camera remains slightly imperfectly framed. --- 5–9 SEC — DOG APPEARS The dog slowly walks into the reflection behind her. She notices movement in the mirror. She turns her head. Her expression changes from neutral to amused surprise. She looks down toward the dog. The dog looks directly back at her. --- 9–14 SEC — FIRST JUMP The dog suddenly jumps upward toward her. She reacts with a surprised laugh. The phone hand moves upward instinctively. The mirror framing becomes slightly tilted. She tries to keep herself and the dog inside frame. The dog lands and immediately looks up again. --- 14–19 SEC — BLOCKING HER FACE The dog jumps again. Its head rises into the center of the mirror reflection and partially blocks her face. She laughs and tries moving sideways. The dog follows her movement. She says: "Can you move?" The dog stays directly in front of her. --- 19–24 SEC — SELFIE CHAOS She gently tries to guide the dog lower with one hand while keeping the phone raised. The dog keeps moving toward the phone. Her laughter becomes louder and less controlled. The phone shakes naturally. The reflection remains physically consistent. Her hair moves slightly as she turns. --- 24–27 SEC — DOG APPROACHES LENS The dog suddenly notices the phone itself. It moves directly toward the camera. Its nose approaches the lens. The woman's face remains visible behind it in the mirror. She laughs and pulls the phone slightly backward. The framing becomes tighter. --- 27–30 SEC — LENS BLOCK The dog reaches the phone. Its nose fills a large part of the frame. Whiskers and fur become sharply visible. The woman laughs behind the camera and starts saying: "You little—" She cuts herself off laughing. The phone dips slightly. The dog's nose remains close to the lens. The image briefly loses focus and then regains it. The clip ends naturally with the dog still trying to investigate the camera. AUDIO Natural room ambience only. Dog paws against floor, light collar movement if visible, clothing movement, woman's breathing, surprise reaction, genuine laughter and dialogue. No music. No voice-over. No subtitles. No text. No logo. No watermark. No artificial sound effects. STRICT CONSTRAINTS Exactly one woman. Exactly one dog. No other animal. No duplicate reflection. No duplicate woman. No impossible mirror behavior. No extra limbs. No face distortion. No cuts. No zoom. No camera operator. No cinematic effects. Maintain realistic mirror physics and continuous handheld phone movement from beginning to end.

M-studioAi

22,234 views • 12 days ago

On August 31, 2020 Nancy Pelosi got her hair done at a fancy salon, maskless, while violating the very lockdown rules she forced on the rest of us. That same day I held a phone so a mother could say goodbye to her dying daughter… who was alone in a hospital bed. On November 6, 2020 Gavin Newsom sat maskless at the elite French Laundry, laughing with donors, breaking every rule he imposed on California. That same night I filled a rubber glove with warm water and placed it in an ICU patient’s hand… because no family was allowed to hold it. On April 5, 2020 Chicago Mayor Lori Lightfoot got her hair done while her own stay-at-home order was in full force. That same week I had to look an elderly woman in the eyes and tell her we were canceling her hip replacement… “elective,” they called it… so she would stay bedridden for at least another six months. On July 23, 2020 Anthony Fauci sat maskless at a Washington Nationals game, shoulder-to-shoulder with others, ignoring every social distancing rule he preached. That same day I had to explain to a husband why he couldn’t see his wife with dementia… who cried in confusion and fear because no one she knew was allowed to be there. They never lived under the rules they wrote. We did. Our patients did. Our families did. The elite never suffered the consequences of their own power. We did. Never forget who the rules were really for.

On August 31, 2020 Nancy Pelosi got her hair done at a fancy salon, maskless, while violating the very lockdown rules she forced on the rest of us. That same day I held a phone so a mother could say goodbye to her dying daughter… who was alone in a hospital bed. On November 6, 2020 Gavin Newsom sat maskless at the elite French Laundry, laughing with donors, breaking every rule he imposed on California. That same night I filled a rubber glove with warm water and placed it in an ICU patient’s hand… because no family was allowed to hold it. On April 5, 2020 Chicago Mayor Lori Lightfoot got her hair done while her own stay-at-home order was in full force. That same week I had to look an elderly woman in the eyes and tell her we were canceling her hip replacement… “elective,” they called it… so she would stay bedridden for at least another six months. On July 23, 2020 Anthony Fauci sat maskless at a Washington Nationals game, shoulder-to-shoulder with others, ignoring every social distancing rule he preached. That same day I had to explain to a husband why he couldn’t see his wife with dementia… who cried in confusion and fear because no one she knew was allowed to be there. They never lived under the rules they wrote. We did. Our patients did. Our families did. The elite never suffered the consequences of their own power. We did. Never forget who the rules were really for.

CaliRN619 🚑🩺🚑

23,493 views • 1 month ago

Atomic Agent beat Hermes on GAIA: 69.8% vs 58.5%, and it was 1.6x faster! We ran both agents through the full GAIA Level 1 benchmark, 53 real-world tasks, same 4-bit qwen-3.6-35b on the same Apple M4 Max. Results: ✦ Atomic Agent: 37 of 53 solved, done in 3h 12m ✦ Hermes Agent: 31 of 53 solved, took 5h 10m Atomic solved 6 more tasks and finished nearly 2 hours sooner. Hermes ran into the 900s timeout on 7 tasks; Atomic on just 2. Hermes burned 71% of its total time on tasks it still failed, Atomic, 48%. Where it showed: ✦ Audre Lorde poem, which stanza is indented: Atomic pushed through a dead source, switched tools, and answered in 7.6 min. Hermes ran the full clock and returned a blank. ✦ Vietnamese specimens, which city they ended up in: Atomic pulled it from the first source and normalized the answer in 33s. Hermes spent 7.3 min and never answered. ✦ The dinosaur featured-article nominator: Atomic walked the Wikipedia chain to "FunkMonk" in 57s. Hermes guessed a wrong name after 11 min. Atomic keeps a byte-stable prompt prefix, so llama-server reuses the KV-cache instead of re-encoding the whole context every turn, and it emits one JSON array of tool calls per inference, then compresses results back instead of pasting them in full, so the context never balloons and a small model stays sharp deep into a task. On top of that a no-progress guard vetoes repeated identical tool calls (warn at 3, hard veto at 5) and forces a reply, so Atomic never sinks 15 minutes into re-scanning one page the way Hermes did. Both agents missed some of the same questions, and on a few Hermes got there and Atomic did not, usually format slips where Atomic computed the right number but printed the working instead of the bare value. But on identical hardware and identical weights, the runtime that reuses its cache and refuses to spin came out ahead on accuracy and speed. Getting this from the runtime alone is wild. Run the same 53 GAIA tasks on Atomic Agent!

Atomic Agent beat Hermes on GAIA: 69.8% vs 58.5%, and it was 1.6x faster! We ran both agents through the full GAIA Level 1 benchmark, 53 real-world tasks, same 4-bit qwen-3.6-35b on the same Apple M4 Max. Results: ✦ Atomic Agent: 37 of 53 solved, done in 3h 12m ✦ Hermes Agent: 31 of 53 solved, took 5h 10m Atomic solved 6 more tasks and finished nearly 2 hours sooner. Hermes ran into the 900s timeout on 7 tasks; Atomic on just 2. Hermes burned 71% of its total time on tasks it still failed, Atomic, 48%. Where it showed: ✦ Audre Lorde poem, which stanza is indented: Atomic pushed through a dead source, switched tools, and answered in 7.6 min. Hermes ran the full clock and returned a blank. ✦ Vietnamese specimens, which city they ended up in: Atomic pulled it from the first source and normalized the answer in 33s. Hermes spent 7.3 min and never answered. ✦ The dinosaur featured-article nominator: Atomic walked the Wikipedia chain to "FunkMonk" in 57s. Hermes guessed a wrong name after 11 min. Atomic keeps a byte-stable prompt prefix, so llama-server reuses the KV-cache instead of re-encoding the whole context every turn, and it emits one JSON array of tool calls per inference, then compresses results back instead of pasting them in full, so the context never balloons and a small model stays sharp deep into a task. On top of that a no-progress guard vetoes repeated identical tool calls (warn at 3, hard veto at 5) and forces a reply, so Atomic never sinks 15 minutes into re-scanning one page the way Hermes did. Both agents missed some of the same questions, and on a few Hermes got there and Atomic did not, usually format slips where Atomic computed the right number but printed the working instead of the bare value. But on identical hardware and identical weights, the runtime that reuses its cache and refuses to spin came out ahead on accuracy and speed. Getting this from the runtime alone is wild. Run the same 53 GAIA tasks on Atomic Agent!

Atomic Agent

111,357 views • 1 month ago

Tokyo streets. Chrome attitude. Prada energy. ✨ A high-fashion story where the bag isn’t just an accessory, it’s the main character. Created with Seedance 2.5 on Fish Creative PROMPT : Format: 9:16 vertical | Duration: Exactly 30 seconds | Style: Vogue editorial × Tokyo street fashion × cinematic luxury | Pacing: Fast, energetic, sharp cuts Character & Product Continuity: One consistent young female fashion model throughout. Preserve the same face, hairstyle, body proportions, and identity in every shot. She carries one identical glossy pastel-pink Prada handbag throughout the video, with the Prada logo clearly visible and consistent. 0–4 sec — ICONIC OPENING Start with an extreme low-angle shot directly from street level, matching the reference image. The model walks toward camera through a busy Tokyo crossing, towering skyscrapers and giant digital billboards behind her. Her metallic silver platform boots dominate the foreground while the pink Prada bag swings beside her. Typography: TOKYO Luxury moves differently. Quick whip-pan upward from boots → bag → model. 4–8 sec — THE BAG Rapid macro cuts: Glossy pink Prada bag catching sunlight Close-up of the Prada triangle logo Silver hardware sparkling Her hand gripping the handle Bag swinging as she crosses the street Typography: PRADA THE NEW ICON 8–13 sec — TOKYO ENERGY Fast tracking shot as she walks through Shibuya-style Tokyo streets, surrounded by crowds, neon signs and massive screens. Camera circles her while she confidently looks toward the lens. Use speed ramps, whip transitions, motion blur and flash-frame cuts. Typography: BOLD. MODERN. UNMISSABLE. 13–18 sec — EDITORIAL MOMENT Cut to a dramatic low-angle street shot. She stops at a crosswalk, lifts the Prada bag slightly toward camera, then turns sharply as her hair moves in the wind. Camera pushes rapidly toward the bag. Typography: MADE TO BE SEEN 18–24 sec — VOGUE MONTAGE Ultra-fast fashion-editorial sequence: Model walking between Tokyo taxis Close-up of sunglasses Bag against her metallic outfit Low-angle boots stepping across the crosswalk Side profile against neon architecture Overhead shot as she moves through the crowd Use hard cuts synchronized to the beat. Typography flashes between shots: TOKYO → FASHION → PRADA 24–27 sec — HERO SHOT Everything suddenly slows down. She stands in the middle of the Tokyo street while the crowd moves around her in subtle motion blur. She holds the pink Prada bag prominently toward camera. Camera performs a smooth 360° orbit. Typography: OWN THE MOMENT 27–30 sec — FINAL BRAND FRAME Extreme close-up of the Prada bag. She places it beside her, camera tilts upward from the logo to her face. Cut to a clean black/white editorial-style end card. Typography: PRADA TOKYO EDITION The city is your runway. Visual direction: glossy luxury lighting, deep contrast, realistic Tokyo atmosphere, premium fashion photography, fisheye low-angle perspective, dynamic handheld camera, cinematic lens flares, subtle film grain, Vogue editorial aesthetic, sophisticated typography, no cheesy commercial look.

Natalia

28,704 views • 22 days ago

Made this video with GPT IMAGE 2 + seedance 2.5 via CapCut Prompt ⤵️ DURATION: 20 seconds ASPECT RATIO: 16:9 STYLE: Ultra-photorealistic live-action cinematic lifestyle vlog, premium commercial quality, natural human movement, realistic skin and hair, realistic clothing physics, soft cinematic lighting, subtle handheld camera feel, shallow depth of field, natural color grading. REFERENCE ASSIGNMENT: irene galbraith = FEMALE HERO / MAIN CHARACTER ĐI MДGĐ = BEDROOM / MORNING imogen = KITCHEN / BREAKFAST CurlyQ2 = WORK / DESK silvercoupe = OUTDOOR / CAFÉ @IMG6 = EVENING / NIGHT Use irene galbraith as the strict identity reference throughout the entire video. CHARACTER CONSISTENCY: The same woman must appear in every scene. Preserve her exact face, facial structure, eyes, nose, lips, hairstyle, skin tone, feminine body proportions and overall identity. Do not change her identity between scenes. 0–3 SECONDS — MORNING Start in the bedroom using ĐI MДGĐ. The woman wakes up naturally and sits on the edge of the bed. Soft morning sunlight enters through the window. She gently opens the curtains and looks toward the morning light. Camera begins with a medium-wide shot and smoothly pushes toward her. Peaceful morning atmosphere. 3–6 SECONDS — BREAKFAST Smooth cinematic transition to imogen. The same woman prepares a simple breakfast in the kitchen. She pours coffee or tea into a ceramic mug and places breakfast on the counter. Natural steam rises from the hot drink. She briefly looks toward the camera with a relaxed morning smile. Use a natural medium tracking shot. 6–10 SECONDS — WORK Transition to CurlyQ2. The same woman sits at her desk and works on her laptop. She types briefly, checks the screen and writes a few notes in her notebook. Natural productive expression. Camera moves slowly from a side angle toward a three-quarter view. Keep the environment realistic and calm. 10–14 SECONDS — OUTDOOR / CAFÉ Transition naturally to silvercoupe. The same woman leaves home and walks through a beautiful modern city street toward an outdoor café. Camera smoothly tracks backward while she walks toward it. She arrives at the café, places her handbag beside the table and sits down. She smiles naturally toward the camera. Warm daylight and realistic city background. 14–17 SECONDS — CAFÉ MOMENT Close cinematic shot. She picks up her coffee/drink and takes a relaxed sip. Subtle background movement from distant pedestrians. Natural handheld lifestyle-vlog feeling. 17–20 SECONDS — NIGHT Transition to @IMG6. The same woman is back home in her cozy bedroom at night. She places her phone on the bedside table and relaxes after the day. She looks toward the window at the city lights, then turns toward the camera with a small peaceful smile. Camera slowly pushes into a close-up. End on her calm expression with warm bedroom lighting and soft city-light bokeh. CUT TO BLACK. CAMERA PRIORITY: Keep the camera cinematic and natural. Use smooth tracking, gentle push-ins, medium shots, close-ups and subtle handheld movement. Avoid excessive camera shake. Keep the woman as the visual focus. Maintain realistic transitions between locations. FINAL RULES: Same female character throughout. Same face and identity throughout. Natural realistic human movement. Realistic lighting and shadows. Realistic clothing and hair movement. No face changes. No character duplication. No extra main characters. No cartoon or anime appearance. No fantasy effects. No excessive motion blur. No distorted hands. No text. No logos. No watermark. The overall feeling should be: A beautiful, realistic cinematic glimpse into one ordinary but aesthetically pleasing day in her life. Reference Image: Create a premium photorealistic female character reference sheet using the uploaded woman as the STRICT identity reference. Preserve her exact facial identity, facial structure, eyes, eyebrows, nose, lips, jawline, skin tone, natural skin texture, hairstyle and overall appearance. Create the same woman as a realistic modern lifestyle vlogger. Show her with natural feminine proportions and realistic anatomy. CHARACTER PRESENTATION: Create a clean professional character sheet containing: 1. Full-body front view 2. Full-body 3/4 view 3. Full-body side view 4. Back view 5. Close-up face portrait 6. Natural smiling expression 7. Neutral expression 8. Casual standing pose Keep the exact same woman in every view. CLOTHING: Use a simple modern casual lifestyle outfit suitable for a daily vlog: a clean neutral-colored fitted top, comfortable casual trousers or jeans, and simple everyday footwear. Keep the outfit realistic, modest and natural. STYLE: Ultra-photorealistic live-action photography, premium lifestyle commercial aesthetic, realistic skin texture, natural hair strands, realistic fabric, physically accurate anatomy, soft cinematic lighting, subtle depth of field, high-end photography, natural colors. The character should look like a real woman photographed for a professional lifestyle vlog. IDENTITY CONSISTENCY IS THE HIGHEST PRIORITY. Do not change her face. Do not change her hairstyle. Do not masculinize her. Do not make her look like a different person. Do not create an anime or cartoon appearance. No fantasy styling. No text. No logo. No watermark. Clean neutral studio background. This character reference will be used as the SAME FEMALE PROTAGONIST throughout a 20-second "A Day in Her Life" cinematic lifestyle vlog.

Elsa Ai

26,379 views • 1 month ago

claude bot made $700,000 in a month for its owner. thanks to one file. > $42,921 today > $160,086 past week > $692,922 past month everyone writes claude motivational speeches: - "be a senior engineer" - "think step by step" - "be careful" doesn't work - claude already knows all that. what's missing is a CLAUDE.md like this guy's: ## Project high-frequency arbitrage on polymarket btc + eth 5-min and 15-min markets. dual-entry strategy. fixed risk, fixed profit target. ## Strategy: DUAL mode ## Mode A: high-confidence (60% of capital) - enter at 50-70c when poly_implied agrees with spot trend - target +50-100% per trade (~$6k profit) - size: $4,000-$8,000 per position ## Mode B: tail bets (40% of capital) - enter at 3-25c when own model says 35%+ probability - target +200-1300% per trade - size: $400-$1,800 per position ## IMPORTANT IMPORTANT: hold all positions to resolution. NO early exit IMPORTANT: skip if same market hit our books in last 60s IMPORTANT: cap daily risk at $50,000. hard stop ## Rules - NEVER exit before market resolution - NEVER trade on news (CPI, FOMC, ETF decisions) - NEVER size > 8% of bankroll on single position - skip first 60 sec of any 5-min market (illiquid) - pause 5 min after any $100+ BTC move ## Out of scope - never touch the wallet. read-only access - do not chase: skip if same market touched within 60s one rule = one mistake claude won't make again. each of his trades, around $6,000 profit. how? because that's what's written in CLAUDE.md: "target ~$6K per trade". not more, not less. > the system doesn't get nervous, doesn't chase, doesn't wait for a better price. > sees edge ≥ 4c and enters. > sees a tail 3c with own probability 35% - enters. > waits for resolution. > takes profit. > moves to next market. 29,596 times. his profile: this is the difference between "user of claude" and "operator of claude". the first writes wishes. the second writes technical specs. don't waste your time, level up your claude before it's too late.

Mnimiy

88,856 views • 4 months ago

Just a normal day in the life of a very busy cat 🐱✨ Created with Seedance 2.5 on WaveSpeedAI Prompt: Create a 60-second realistic day-in-the-life cat vlog, following the same cute cat from waking up in the morning until falling asleep at night. Critical Requirement NO HUMAN SPEECH AND NO DIALOGUE. The cat must not speak any words at any point. Do not use narration, voice-over, human voices, subtitles, captions, or text. The story must be communicated entirely through the cat’s actions, facial expressions, body language, meows, purrs, chirps, yawns, and natural environmental sounds. Overall Visual Style One continuous handheld front-facing smartphone selfie-vlog perspective. The cat holds the phone itself with its paw and films its own day. - Realistic modern smartphone footage - Natural handheld shake - Slight framing imperfections - Occasional autofocus hunting - Natural front-camera lens distortion - Realistic unfiltered smartphone colors - Soft natural morning, afternoon, and evening lighting - Same cat, face, fur pattern, eyes, and body throughout - Cute but believable cat behavior - Natural expressions and movements - No cinematic camera movements - No third-person camera - No tripod or external camera - No beauty filter or cinematic color grading - No logos, watermarks, subtitles, captions, or on-screen text - No background music 0–10 sec — Wake Up The cat wakes up in a cozy bed. It picks up the phone with its paw and starts filming itself selfie-style. It looks sleepy, yawns, stretches, rubs its face with its paws, and looks into the camera with sleepy eyes. It gives a tiny “meow”, then climbs out of bed. 10–20 sec — Breakfast The cat walks into the kitchen while filming itself. It sees its food bowl and immediately becomes excited. It prepares or receives its breakfast, eagerly eats, then drinks water. It looks happily into the camera and gives a couple of excited little meows. Include realistic food-bowl sounds, chewing, drinking, and kitchen ambience. 20–30 sec — Playtime The cat grabs its favorite toy. It runs around the house, chases the toy, jumps onto the couch, bats at it with its paws, and playfully rolls around. The phone shakes naturally during the energetic movement. The cat stops for a moment, looks directly into the camera, gives a playful chirp/meow, then immediately runs off again. 30–40 sec — Exploring The cat explores the house. It looks through a window, watches birds outside, investigates a strange sound, walks into another room, and sniffs interesting objects. It notices something outside and becomes curious. The cat makes a soft “mrrp” sound and continues exploring. Keep the behavior authentically feline rather than human-like. 40–50 sec — Afternoon Adventure The cat safely goes outside into a garden or quiet courtyard. It walks around while filming itself, sniffs flowers and plants, watches birds, investigates leaves, and explores its surroundings. The cat pauses, looks excitedly at something off-camera, then gives a small curious meow. Use natural outdoor sounds such as birds, wind, leaves, distant traffic, and footsteps. 50–60 sec — Evening & Bedtime The cat returns home as the light becomes warm and soft. It has its evening meal, drinks some water, then climbs onto the couch or back into its bed. It grooms itself, yawns, becomes sleepy, and curls into a comfortable position. It looks into the phone one last time, gives a tiny sleepy meow, slowly closes its eyes, and lowers the phone naturally. End with quiet nighttime home ambience. Final Audio Requirements Absolutely no dialogue. No words. No narration. No human voice. No talking cat. Use only natural diegetic sounds: - Cat meows - Purring - Chirping - Yawning - Footsteps - Food and water sounds - Toy sounds - Household ambience - Birds and outdoor sounds - Wind and leaves - Natural nighttime ambience The finished video should feel like a realistic, cozy smartphone vlog from a cat’s perspective, showing what the cat naturally does throughout an entire day without saying a single word.

Just a normal day in the life of a very busy cat 🐱✨ Created with Seedance 2.5 on WaveSpeedAI Prompt: Create a 60-second realistic day-in-the-life cat vlog, following the same cute cat from waking up in the morning until falling asleep at night. Critical Requirement NO HUMAN SPEECH AND NO DIALOGUE. The cat must not speak any words at any point. Do not use narration, voice-over, human voices, subtitles, captions, or text. The story must be communicated entirely through the cat’s actions, facial expressions, body language, meows, purrs, chirps, yawns, and natural environmental sounds. Overall Visual Style One continuous handheld front-facing smartphone selfie-vlog perspective. The cat holds the phone itself with its paw and films its own day. - Realistic modern smartphone footage - Natural handheld shake - Slight framing imperfections - Occasional autofocus hunting - Natural front-camera lens distortion - Realistic unfiltered smartphone colors - Soft natural morning, afternoon, and evening lighting - Same cat, face, fur pattern, eyes, and body throughout - Cute but believable cat behavior - Natural expressions and movements - No cinematic camera movements - No third-person camera - No tripod or external camera - No beauty filter or cinematic color grading - No logos, watermarks, subtitles, captions, or on-screen text - No background music 0–10 sec — Wake Up The cat wakes up in a cozy bed. It picks up the phone with its paw and starts filming itself selfie-style. It looks sleepy, yawns, stretches, rubs its face with its paws, and looks into the camera with sleepy eyes. It gives a tiny “meow”, then climbs out of bed. 10–20 sec — Breakfast The cat walks into the kitchen while filming itself. It sees its food bowl and immediately becomes excited. It prepares or receives its breakfast, eagerly eats, then drinks water. It looks happily into the camera and gives a couple of excited little meows. Include realistic food-bowl sounds, chewing, drinking, and kitchen ambience. 20–30 sec — Playtime The cat grabs its favorite toy. It runs around the house, chases the toy, jumps onto the couch, bats at it with its paws, and playfully rolls around. The phone shakes naturally during the energetic movement. The cat stops for a moment, looks directly into the camera, gives a playful chirp/meow, then immediately runs off again. 30–40 sec — Exploring The cat explores the house. It looks through a window, watches birds outside, investigates a strange sound, walks into another room, and sniffs interesting objects. It notices something outside and becomes curious. The cat makes a soft “mrrp” sound and continues exploring. Keep the behavior authentically feline rather than human-like. 40–50 sec — Afternoon Adventure The cat safely goes outside into a garden or quiet courtyard. It walks around while filming itself, sniffs flowers and plants, watches birds, investigates leaves, and explores its surroundings. The cat pauses, looks excitedly at something off-camera, then gives a small curious meow. Use natural outdoor sounds such as birds, wind, leaves, distant traffic, and footsteps. 50–60 sec — Evening & Bedtime The cat returns home as the light becomes warm and soft. It has its evening meal, drinks some water, then climbs onto the couch or back into its bed. It grooms itself, yawns, becomes sleepy, and curls into a comfortable position. It looks into the phone one last time, gives a tiny sleepy meow, slowly closes its eyes, and lowers the phone naturally. End with quiet nighttime home ambience. Final Audio Requirements Absolutely no dialogue. No words. No narration. No human voice. No talking cat. Use only natural diegetic sounds: - Cat meows - Purring - Chirping - Yawning - Footsteps - Food and water sounds - Toy sounds - Household ambience - Birds and outdoor sounds - Wind and leaves - Natural nighttime ambience The finished video should feel like a realistic, cozy smartphone vlog from a cat’s perspective, showing what the cat naturally does throughout an entire day without saying a single word.

Zara

24,608 views • 1 month ago

🚀 Sol-H3 on DGX Spark: 768p in Under a Minute 🤩 Monday: 8×B300, 5s 768p in 1.65s — faster than playback. Today: the same stack on one desktop Spark — about 56s hot E2E. Five seconds of 1344×768 video at 24 FPS with stereo audio, on a single NVIDIA DGX Spark (GB10). Two-stage, not the datacenter profile: 384p H3 draft → latent ×2 → H3-to-LTX VAE adapter → 768p LTX refine → VAE decode No decode/re-encode between stages. Stage 2 is conditioned on the draft latent, so Gemma stays off the box. Quantized weights stay resident; sparse attention cuts the rest. Stage 1 takes any MiniMax-H3 few-step LoRA. Timing is hot E2E (encode → both stages → video/audio VAE); cold start and MP4 mux are separate. Apache 2.0. Server was realtime. Edge is one box, under a minute. 🔗 Amazing team effort—full credits in the blog. Haopeng Li Junsong_Chen yitong li LoveSy ,Jingyu Xin, Haocheng Xi Song Han

Enze Xie

96,602 views • 10 days ago

f*ck it. i'm LEAKING my entire Seedance 2.5 AI UGC system i cracked the formula for generations that look like real UGC filmed on a phone.. no camera, no actor, no set video below has been generated 100% by Seedance 2.5 + Claude... here's the FULL system: 1. open Seedance 2.5 and upload 3 references: Image your character, image2 the environment, David Carbon the style frame 2. assign every file a role in the prompt: "Image is the main character, image2 is the location, match David Carbon for the look".. never leave a file unassigned or the model guesses 3. write a timestamped storyboard instead of one messy paragraph: "0-8s: wide shot, she picks up the product. 9-16s: close-up, reaction. 17-30s: talks to camera".. the model follows it beat by beat like a shooting script 4. kill the AI look with one line: "retain real micro pores and skin texture, natural imperfections, no beauty retouching, no commercial polish" 5. add global rules at the end: "no subtitles, no fast cuts, same person in every frame" one generation. 30 seconds of footage. consistent character, zero drift now how to turn it into money, fast: > faceless youtube: stack scenes into 8-10 min docs. history, true crime, luxury pay $8-15 RPM, channels clear $5-20k/mo > UGC ads for brands: DTC brands pay creators $300-2,000 per video. yours cost minutes > sell the service: run this exact system for local businesses as a monthly retainer and the timing is unfair: Seedance 2.5 went live on Higgsfield today with 33 days of unlimited generations at zero credit cost on your plan a full month of unlimited practice and library-building before anyone else catches on most people will scroll past this don't be most people next i guess to make it automated P.S. thanks Higgsfield for sponsoring this post

f*ck it. i'm LEAKING my entire Seedance 2.5 AI UGC system i cracked the formula for generations that look like real UGC filmed on a phone.. no camera, no actor, no set video below has been generated 100% by Seedance 2.5 + Claude... here's the FULL system: 1. open Seedance 2.5 and upload 3 references: Image your character, image2 the environment, David Carbon the style frame 2. assign every file a role in the prompt: "Image is the main character, image2 is the location, match David Carbon for the look".. never leave a file unassigned or the model guesses 3. write a timestamped storyboard instead of one messy paragraph: "0-8s: wide shot, she picks up the product. 9-16s: close-up, reaction. 17-30s: talks to camera".. the model follows it beat by beat like a shooting script 4. kill the AI look with one line: "retain real micro pores and skin texture, natural imperfections, no beauty retouching, no commercial polish" 5. add global rules at the end: "no subtitles, no fast cuts, same person in every frame" one generation. 30 seconds of footage. consistent character, zero drift now how to turn it into money, fast: > faceless youtube: stack scenes into 8-10 min docs. history, true crime, luxury pay $8-15 RPM, channels clear $5-20k/mo > UGC ads for brands: DTC brands pay creators $300-2,000 per video. yours cost minutes > sell the service: run this exact system for local businesses as a monthly retainer and the timing is unfair: Seedance 2.5 went live on Higgsfield today with 33 days of unlimited generations at zero credit cost on your plan a full month of unlimited practice and library-building before anyone else catches on most people will scroll past this don't be most people next i guess to make it automated P.S. thanks Higgsfield for sponsoring this post

Ronin

14,935 views • 1 month ago

I SLEPT THROUGH THE WHOLE F*CKING NIGHT AND MY SIX GROK BOTS TURNED $16,490 INTO $20,272.84 ON ONE COIN day 6 of the duel. two bots, $1,000 each on the 10th, the bank carries over, no resets $1,000 → $1,742.15 → $2,498.00 → $7,518.98 → $11,451.41 → $16,490.03 → $20,272.84 one coin all shift. i counted 22 trades on it, 17 of them green the rule they never break: buy the dip, never the spike → 13:30 in at 540M on the open, out at 588M, +$474.91 → 16:25 bought the pullback at 605M, sold the 18:00 push at 648M, +$396.56 → 19:19 the evening drop hit 612.7M, they bought all of it, +$369.19 → 21:15 the last buy before the top, 625.7M into 663M, +$352.16 → 08:08 the morning bottom at 584.4M, out at 625M, +$412.26 → 10:21 done, +22.94% on the day, 23 of 31 trades green now the part that costs people money five times my bots chased a price that was already running. all five lost, -$378 together seventeen times they waited for the price to come back to them. seventeen green same bots, same day, same coin. the only difference was who moved first, and i have the receipts for both the prediction markets everyone talks about? nine small bets all day, +$162.81 total. the coin made 95% of the money nobody selling signals for $400 a month shows you the five losses. that is the whole product the full six-bot setup, every prompt and where each one fails, is in the article below, free bookmark it before the feed buries it. when did you last buy something already running?

I SLEPT THROUGH THE WHOLE F*CKING NIGHT AND MY SIX GROK BOTS TURNED $16,490 INTO $20,272.84 ON ONE COIN day 6 of the duel. two bots, $1,000 each on the 10th, the bank carries over, no resets $1,000 → $1,742.15 → $2,498.00 → $7,518.98 → $11,451.41 → $16,490.03 → $20,272.84 one coin all shift. i counted 22 trades on it, 17 of them green the rule they never break: buy the dip, never the spike → 13:30 in at 540M on the open, out at 588M, +$474.91 → 16:25 bought the pullback at 605M, sold the 18:00 push at 648M, +$396.56 → 19:19 the evening drop hit 612.7M, they bought all of it, +$369.19 → 21:15 the last buy before the top, 625.7M into 663M, +$352.16 → 08:08 the morning bottom at 584.4M, out at 625M, +$412.26 → 10:21 done, +22.94% on the day, 23 of 31 trades green now the part that costs people money five times my bots chased a price that was already running. all five lost, -$378 together seventeen times they waited for the price to come back to them. seventeen green same bots, same day, same coin. the only difference was who moved first, and i have the receipts for both the prediction markets everyone talks about? nine small bets all day, +$162.81 total. the coin made 95% of the money nobody selling signals for $400 a month shows you the five losses. that is the whole product the full six-bot setup, every prompt and where each one fails, is in the article below, free bookmark it before the feed buries it. when did you last buy something already running?

savip.

43,664 views • 6 days ago

Made this video with GPT IMAGE 2 + seedance 2.5 Prompt ⤵️ DURATION: 30 seconds ASPECT RATIO: Use the video's available landscape/cinematic ratio. STYLE: Ultra-photorealistic live-action cooking and lifestyle vlog, premium food-commercial cinematography, realistic human behavior, natural hand movements, realistic cooking physics, authentic home atmosphere, cinematic lighting, subtle handheld camera movement, realistic food textures, natural skin and hair. REFERENCE ASSIGNMENT: irene galbraith = FEMALE CHARACTER ĐI MДGĐ = KITCHEN ENVIRONMENT imogen = INGREDIENTS AND COOKING SETUP CurlyQ2 = COOKING ACTION silvercoupe = FINISHED CREAMY CHICKEN PASTA @IMG6 = DINING SCENE Use all uploaded references consistently. CHARACTER CONSISTENCY: The SAME woman from irene galbraith must appear throughout the entire video. Preserve her exact face, facial features, hairstyle, skin tone, body proportions and overall identity. Do not change her appearance between scenes. Preserve the same casual home-cooking outfit from irene galbraith. FOOD CONSISTENCY: The dish throughout the entire video is EXACTLY the creamy chicken pasta shown in imogen and silvercoupe. Maintain the same pasta, chicken, mushrooms, cherry tomatoes, cream sauce, parmesan and parsley throughout. Do not change the dish between scenes. --- 0–4 SECONDS — PREPARATION Use ĐI MДGĐ and imogen. The woman enters the kitchen and approaches the countertop. The ingredients for creamy chicken pasta are neatly arranged in front of her. She looks over the ingredients and begins preparing dinner. Camera starts with a natural medium-wide kitchen shot and gently moves closer. Show the real home environment. --- 4–9 SECONDS — CHOPPING Use imogen and CurlyQ2. The woman places vegetables on the wooden cutting board. She carefully chops garlic, onion and mushrooms with a kitchen knife. Show realistic hand and finger movement. Include a brief close-up of the knife cutting the vegetables. Vegetables naturally separate as she cuts them. Return to a medium shot showing her focused expression. Keep the action smooth and believable. --- 9–15 SECONDS — COOKING Use CurlyQ2. She places the pan on the stove and adds a small amount of olive oil. She adds the prepared chicken and vegetables into the hot pan. A realistic sizzling sound and subtle steam accompany the cooking. She uses a wooden spoon to stir the ingredients. The chicken gradually cooks while the vegetables soften. Camera moves from a side angle toward the pan. Include a close-up of the food sizzling and being stirred. --- 15–20 SECONDS — CREAMY SAUCE & PASTA Continue using CurlyQ2 and imogen. She adds the creamy sauce ingredients to the pan. The sauce mixes naturally with the chicken and vegetables. She adds the cooked pasta. She gently tosses and stirs everything together. The creamy sauce coats the pasta realistically. Steam rises naturally from the pan. Show a satisfying close-up of the finished creamy texture. Do not rush this action. --- 20–24 SECONDS — PLATING Use silvercoupe. The woman transfers the freshly cooked creamy chicken pasta from the pan onto the ceramic plate. She carefully arranges the pasta. She adds parmesan and fresh parsley on top. A small amount of realistic steam rises from the hot food. Camera transitions into a premium close-up food shot. Make the dish look genuinely freshly cooked and appetizing. --- 24–30 SECONDS — DINNER Use @IMG6. The woman sits at the dining table with the finished creamy chicken pasta. She picks up the fork naturally. She takes a small bite. She tastes the food and gives a genuine satisfied smile. She briefly looks toward the camera as if sharing the moment with her audience. Camera slowly pushes toward her and the plate. End on a warm, cozy lifestyle shot of the woman enjoying the dinner she prepared herself. CUT TO BLACK. --- CAMERA PRIORITY: Use natural cinematic camera movement. Wide establishing shots for the kitchen. Medium shots for cooking actions. Close-ups for chopping and sizzling food. Macro-style food detail during sauce and plating. Gentle push-in during the final dining moment. Avoid excessive camera shake. Avoid unnecessary camera movement. Keep the woman and the food clearly readable. --- REALISM PRIORITY: Natural human movement. Realistic hand anatomy. Realistic knife handling. Realistic food physics. Realistic steam. Realistic sauce consistency. Realistic sizzling and stirring. Natural facial expressions. Natural eating motion. No exaggerated movements. No instant food transformations. No teleporting ingredients. No changing kitchen. No changing outfit. No changing character. --- FINAL RULES: Same woman throughout. Same face throughout. Same kitchen throughout. Same outfit throughout. Same creamy chicken pasta throughout. Same ingredients throughout. No different woman. No face morphing. No extra people. No distorted hands. No extra fingers. No unrealistic eating. No cartoon. No anime. No fantasy. No text. No logos. No watermark. The final result should feel like a genuine cinematic cooking vlog filmed inside a real woman's home. Reference Image prompt: Create an ultra-photorealistic premium female character reference sheet using the uploaded woman as the STRICT IDENTITY REFERENCE. IDENTITY — ABSOLUTE PRIORITY: Preserve the exact identity of the woman in the uploaded image. Keep her: - exact face shape - eyes - eyebrows - nose - lips - jawline - skin tone - natural skin texture - hairstyle - hairline - facial proportions - age appearance - feminine body proportions Do not redesign her face. Do not beautify or alter her recognizable features. She must look like the exact same real woman in every view. CHARACTER CONCEPT: Create a realistic modern young woman who will be the main protagonist of a cinematic everyday cooking/lifestyle video. She has a natural, approachable appearance and relaxed confident personality. Create a realistic everyday home-cooking appearance rather than a fashion-model look. OUTFIT: A tasteful modern casual home outfit suitable for cooking dinner: - simple fitted neutral-colored top - comfortable casual trousers - clean natural styling - minimal jewelry - no high-fashion styling - no excessive makeup Keep the outfit practical and believable for a woman cooking at home. CHARACTER SHEET LAYOUT: Create one professional reference sheet containing: 1. Full-body FRONT view 2. Full-body 3/4 FRONT view 3. Full-body SIDE view 4. Full-body BACK view 5. Medium portrait 6. Close-up facial portrait 7. Natural smiling expression 8. Neutral expression 9. Hands and clothing detail Every view must show the EXACT SAME WOMAN. BODY & ANATOMY: Natural realistic feminine proportions. Lean, healthy everyday physique. Accurate human anatomy. Natural posture. No exaggerated body proportions. HAIR: Preserve the exact hairstyle from the uploaded reference. Show realistic individual hair strands and natural volume. PHOTOGRAPHY: Ultra-photorealistic live-action photography. Premium cinematic lifestyle production quality. Realistic skin pores and texture. Natural hair detail. Physically accurate clothing fabric. Soft professional studio lighting. Natural shadows. Subtle realistic depth of field. High-end commercial photography quality. BACKGROUND: Clean warm-neutral studio background. Minimal distractions. The character must be clearly separated from the background. IDENTITY CONSISTENCY: This exact woman will be used as the main character in: irene galbraith Character CurlyQ2 Cooking Action @IMG6 Dining Scene and the final 30-second video. Her face and identity must remain identical across all references and video scenes. IMPORTANT NEGATIVE RULES: No face redesign. No different woman. No face morphing. No age change. No hairstyle change. No masculine features. No exaggerated makeup. No unrealistic body proportions. No cartoon. No anime. No CGI-looking skin. No text. No logo. No watermark. Premium photorealistic cinematic character reference sheet.

Elsa Ai

19,972 views • 29 days ago