AI slop looks generated. Realism feels remembered.
Made with Seedance 2.5
Create a 30-second, 1080p, 16:9 ultra-realistic live-action home video of a naturally beautiful adult Korean woman in her early 20s spending a warm late-summer afternoon with her friend in an older Seoul neighborhood.
The video should feel like a genuine early-2000s consumer DV recording—not a commercial, music video, or staged production. Keep everything simple, attractive, spontaneous, and believable.
MAIN SUBJECT & CONTINUITY
Long dark-brown hair worn down with a soft natural wave, minimal makeup, realistic skin texture, relaxed expressions. She wears a fitted white short-sleeve top, light-blue straight-leg jeans, white sneakers, a small dark-brown shoulder bag, and a delicate silver necklace. Keep her face, hairstyle, outfit, accessories, body proportions, and the same bottled drink perfectly consistent throughout.
LOCATION
A quiet older Seoul residential neighborhood: narrow concrete streets, small apartment buildings, brick walls, potted plants, parked bicycles, utility poles, overhead wires, a tiny convenience shop, and shaded walkways. No landmarks, recognizable brands, advertisements, or commercial activity.
VISUAL STYLE
Authentic handheld DV footage with natural camera shake, imperfect framing, autofocus breathing, occasional exposure changes, soft digital detail, faded colors, mild video noise, natural motion blur, and occasional accidental zooms. The friend filming should react naturally. No stabilization, drone shots, gimbal movement, slow motion, beauty filters, or polished cinematic look.
STORY — 30 SECONDS
- 00:00–00:05: She leaves her apartment, adjusts her bag, notices the camera, and smiles. Her friend follows casually.
- 00:05–00:10: She buys a cold bottled drink, presses it against her cheek, laughs at a camera zoom, and says, “It's so hot today.”
- 00:10–00:15: They walk down a quieter street. A bicycle passes, she steps aside, then smiles back at the camera as a breeze moves her hair.
- 00:15–00:20: She sits on a low wall beside an apartment garden. Her friend points out a tiny leaf in her hair. She removes it and laughs.
- 00:20–00:25: They walk again. She briefly takes the drink from her friend, takes a sip, gives it back, and smiles toward the camera.
- 00:25–00:30: At her apartment entrance, she waves and says, “See you tomorrow.” She walks inside. The friend keeps filming for one second as the door closes, then the footage abruptly cuts to black.
AUDIO
Natural location audio only: footsteps, distant traffic, bicycles, summer insects, apartment ambience, shop refrigerator hum, bottle movement, leaves, and quiet neighborhood voices. Natural dialogue only. No music, narration, artificial sound effects, subtitles, captions, logos, watermarks, or random text.
REALISM
Natural walking, sitting, drinking, hair movement, and hand gestures. No exaggerated acting, identity drift, outfit changes, distorted hands, extra fingers, duplicated people, teleportation, CGI appearance, or impossible physics.
FINAL FEEL
Simple, pretty, and real. Like a random personal video discovered years later nothing dramatic happened, but it somehow feels like a real memory.
The best Top 5 frontier level local models you can now run at your home.
1. Qwen3.8-27B : best local default.
Dense 27B, vision, 256K, SWE-Pro 61.7. Fits 16–24GB at Q4.
- https://t.co/5aCOXzSIm4
2. Qwen3.8-Flash-Next : best if you have 75–128GB.
125B & 51B n-gram, 6B active, Stronger agents than 27B. Needs fat RAM.
- https://t.co/1ceCNH99I7
3. GLM-5.3-Flash : home frontier coding.
320B/18B active, MIT, multimodal, Heavier than Flash-Next.
- https://t.co/DDGUC9efzn
4. Ornith-1.5-35B-A3B : fast local agents
35B total/ 3B active, Tool-calling + coding, Fits 16–24GB mid-quant.
- https://t.co/b5osF14Qwk
5. Qwen3.5-9B/Gemma 4 12B : 8GB daily for simple tasks. runs well on RX 570 + 16GB RAM.
- https://t.co/nvIMoo42BN
- https://t.co/V03A1hwthr
If you have 8–24GB, grab Qwen3.8-27B.
If you have 128GB, then talk Flash.
Excited to announce that Lucebox engine now serves Qwen3.8-27B on a single AMD Radeon AI PRO R9700 (32 GB, RDNA4) with the DFlash2 block-diffusion drafter from z-lab:
- up to 227 tok/s on code
- 208 tok/s HumanEval average
- math at 133 tok/s
on an off-the-shelf quant that matches an 8-bit reference on HumanEval and GSM8K.
And it is lossless: greedy verification commits only tokens the model itself would produce, so the drafter changes how fast you get the answer, never what the answer is.
Full breakdown in the article below👇
Qwen3.8-Flash can now be run locally! 🔥
The 125B MoE model outperforms Claude-Opus-4.6 (Max).
Run on 75GB RAM via Unsloth GGUFs.
Qwen3.8-Flash-Next enables CPU RAM / unified mem setups to deliver near VRAM speeds.
Guide: https://t.co/LLMclyJTeL
GGUF: https://t.co/vXkjO3W0fj
This is the best Seedance hack ever.
You can convert any 16:9 video to 9:16 with just one prompt.
Meaning you can repurpose all your horizontal videos as vertical IG Reels, YouTube Shorts, or TikToks 🤯
Prompt below 👇
I DON'T UNDERSTAND WHY PEOPLE DON'T USE GROK FOR CRYPTO.
MOST TRADERS ARE LOOKING AT CHARTS FROM 3 MONTHS AGO.
GROK ANALYZES REAL-TIME SENTIMENT ON X TO ANTICIPATE TOMORROW.
HERE ARE 8 PROMPTS TO FIND THE NEXT 10X GEM:
To keep a character consistent in AI video, you need a character sheet of the face. If the face is too small in the character sheet, the AI starts drifting and changing the face during video generation. So I built this prompt to generate close-up head shots only, no full body, so the model gets maximum facial detail to lock onto.
Prompt:
Using the attached photo(s) as the exact identity and outfit reference, create a single high-resolution character reference sheet image on a seamless plain light-grey studio background, arranged as a clean grid of six panels in two rows, all panels evenly lit with soft neutral studio light and no shadows on the background.
TOP ROW — three full-body outfit panels of the same person's body and clothing, shown WITHOUT the head: the neck and everything above it smoothly faded out into the background so only the outfit and body are visible. Panel 1: straight front view, head-to-shoe, arms relaxed at the sides, every garment detail visible exactly as in the reference — fabric, color, stitching, buttons, collar, sleeves, cuffs, trouser and footwear, plus any watch, rings or accessories. Panel 2: straight back view, head-to-shoe, same outfit from behind, showing the back cut of the garments and footwear heels. Panel 3: side profile view, head-to-shoe, showing the side drape and fit of the outfit.
BOTTOM ROW — three close-up head-and-shoulders portraits of the same real person's face, identical facial identity in all three, matching the reference photo exactly — same skin tone and texture, same hairstyle and hair color, same facial hair, same eye color, same facial marks. Panel 4: straight front view, neutral calm expression, eyes to camera. Panel 5: three-quarter left view, soft natural expression. Panel 6: right side profile view, neutral expression.
All six panels photorealistic studio photographs of the same single person, consistent scale within each row, sharp focus throughout, natural skin and fabric texture, shot on a full-frame camera with an 85mm lens, even softbox lighting, crisp and clean like a professional film production wardrobe and casting reference.
🚨BREAKING: ChatGPT can now fix your photos so well people will think you hired a pro.
It keeps your face and your identity the same.
Here are the 5 prompts:👇
사용한 모델: Nano Banana Pro
[프롬프트]
Create a photorealistic three-panel character reference sheet based strictly on the uploaded reference image. The uploaded image is the single source of truth for identity, age, facial structure, hairstyle, body proportions, skin tone, clothing design, fabric, colors, and accessories. Do not redesign or reinterpret.
LAYOUT — Horizontal landscape composition, read left to right, arranged as three vertical panel areas of equal height and equal width. All three panel areas must have exactly the same width, each occupying one third of the total image width. The first two panels are full-body views, and the third is a face / upper-body close-up. The three panel areas must form one continuous, seamless composition with no visible divider lines, borders, frames, gutters, gaps, spacing, or changes in the background between panels.
PANEL 1 — FULL-BODY FRONT VIEW (HEAD OMITTED)
Standing straight in a neutral pose, arms naturally at the sides, facing directly toward the camera. The outfit is fully visible from the neckline down to the footwear. First establish the figure at exactly the same full-body scale and framing as in Panel 2, then omit only the head area above the neckline, leaving normal empty space where the head would have been. No decapitation effect, no wound, no severed neck, no surrealism, and no anatomical damage — a clean character-design presentation in which the head information has been intentionally removed. Never enlarge, zoom, reframe, shift, or re-crop the body to compensate for the missing head.
PANEL 2 — FULL-BODY REAR VIEW
The exact same character seen from directly behind, in the same neutral pose, arms at the sides. Clearly show the back silhouette, the hairstyle from behind, the garment construction and seams, the lower-body garment, and the footwear, exactly as in the reference.
PANELS 1 & 2 — SCALE-LOCKED
Shot consecutively as if from a tripod that never moved: identical focal length, camera height, camera distance, subject scale, and lighting. Identical on-screen shoulder width, torso length, leg length, shoe size, shoulders-to-floor distance, and side margins. Both figures share one identical horizontal ground baseline and one identical horizontal shoulder line, and each figure occupies the same percentage of the panel height. No zoom, crop, vertical shift, or difference in body size between them. Near-orthographic, technical feel with minimal perspective distortion.
PANEL 3 — FACE / UPPER-BODY CLOSE-UP
Head-and-shoulders portrait of the exact same character, cropped from the upper chest upward. Turn the head slightly to the subject’s right, creating a subtle three-quarter angle while keeping the face mostly toward the camera. The subject’s left cheek and left side of the face must be visibly more exposed than the right side, with the nose pointing slightly toward the subject’s right rather than straight at the camera. Keep both eyes clearly visible and maintain direct eye contact with the camera. Do not use a perfectly frontal, symmetrical face angle. Maintain a serious neutral expression. Keep the entire head, hairstyle, chin, and hair outline fully inside the frame with a small amount of space above the hair. Preserve the exact identity, age, facial structure, hairstyle, skin texture, wrinkles, and natural asymmetry of the reference.
CONSISTENCY
Identical character identity, age, skin tone, hairstyle, body proportions, wardrobe (every garment, its cut, and all accessories exactly as in the reference), fabrics, colors, lighting, and color grading across all three panels. This is a technical visual reference / costume documentation sheet, not a creative reinterpretation.
BACKGROUND
Neutral mid-grey (#808080) seamless background extending continuously across the entire image without any interruption or panel separation. Identical background color and brightness across all three panel areas.
LIGHTING & RENDER
Clean soft even lighting, large diffused key light with gentle fill, soft natural shadows, no harsh highlights, true-to-life skin tones, neutral white balance, minimalist high-fashion editorial look, polished modern professional model-sheet aesthetic, shot on a full-frame camera with an 85mm lens, deep controlled depth of field with the entire figure in focus, crisp tack-sharp detail, high dynamic range.
NEGATIVE
No text, labels, typography, logos, measurements, props, furniture, environmental objects, decorative graphic design, divider lines, borders, frames, gutters, panel gaps, or visible seams between panels. No unequal panel widths, and no panel wider or narrower than the others. No rim light, colored lighting, harsh spotlight, or theatrical lighting.