reapi

Outstanding realism with Seedance 2.0 at 4K. Image-to-video with Midjourney 8.2, and a much more detailed prompt.

Seedance 2.0 4K Prompt: Main subject from @ image1 - lock her completely. Face, hairstyle, body proportions, skin tone, outfit, accessories, and overall appearance must remain perfectly identical throughout the entire video. She is a sweet and naturally beautiful Indonesian girl, 18 years old, soft warm tan skin, expressive dark brown eyes, long black hair tied into a casual messy bun with loose bangs, youthful smile, minimal makeup, wearing a simple white oversized T-shirt, light blue denim jeans, white sneakers, and carrying a vintage brown canvas camera bag. Around her neck hangs a classic 35mm analog film camera. Theme: "A Day With My Camera" A relaxing weekend in 2026, following a girl who loves documenting ordinary moments with her analog camera. The video should feel authentic, nostalgic, and effortlessly beautiful. Everything takes place around modern Indonesia in 2026: quiet neighborhood streets, small coffee shops, city parks, bookstores, pedestrian sidewalks, and cozy residential areas. The entire video must look like it was filmed naturally by her best friend using a modern mirrorless camera. Absolutely no posing, no influencer behavior, no scripted acting. Every smile, glance, and movement feels spontaneous and real. Camera language is the highest priority. Natural handheld movement. Gentle camera sway. Occasional focus breathing. Real autofocus adjustments. Slight framing imperfections. Natural motion blur. Documentary-style tracking shots. Soft depth of field. Authentic available sunlight. Premium lifestyle vlog aesthetic. Sequence: She walks out of her house while adjusting the analog camera hanging around her neck, smiling softly as morning sunlight lights up her face. She stops beside a quiet street and photographs flowers, bicycles, passing people, and little everyday details with genuine curiosity. She enters a cozy camera store, happily choosing a fresh roll of 35mm film before carefully loading it into her camera. Walking through the city, she photographs random candid moments: children playing, street cats, trees moving in the breeze, reflections on café windows, and interesting architecture. She sits alone inside a cozy café reviewing her newly taken photos, smiling while enjoying an iced latte. Golden hour arrives. She slowly walks through a city park while continuing to shoot photographs, warm sunlight creating beautiful natural lens flares. She notices the person filming her, laughs shyly, lifts her analog camera toward the lens as if taking one final photo of the viewer. The camera gently lowers while she keeps smiling naturally. Recording suddenly cuts off mid-motion like a real weekend vlog ending. Lighting: Bright natural morning sunlight transitioning into warm golden hour. Color: Natural realistic skin tones. Soft warm colors. Subtle filmic contrast. No exaggerated grading. Audio is strictly natural. Birds. Footsteps. Camera shutter clicks. Film advance lever. Coffee shop ambience. Light wind. Distant traffic. People talking naturally. Leaves moving. No music. No narration. No subtitles. No logos. No watermark. Ultra-realistic. Looks exactly like a real lifestyle vlog filmed in 2026.

卧槽，Fable 5真的逆天啊，真的太牛逼了， 它写的提示词竟然能让Grok生成堪比seedance 2.5效果和质感，成本低6倍！ Prompt： 主要角色：年轻韩国女性，二十五岁左右，精致的自然日常妆容，戴着宽檐米色草帽（帽檐有深棕色宽条纹），穿着浅绿色露肩交叉褶皱连衣裙，戴珍珠耳环和细金手链，深棕色长发在草帽下自然垂落或轻盘，温暖而亲切的个性。在整个视频中保持一致的身份、服装、发型和外貌。逼真的皮肤纹理，淡妆。 地点：明媚的午后时分，真实的东bourne网球锦标赛观众席。绿色的草地球场在前景，木质与塑料座椅，背景中有其他穿着浅色西装和夏日休闲服装的观众。强烈的自然阳光从上方照射，偶尔云层移动带来光影和曝光变化，温暖而轻松的体育赛事氛围。焦点始终在她的自然反应与个人时刻上。 视觉风格：超现实主义纪录片真实感。真实的即兴行为。自然的肢体语言。无剧本的日常生活片段感。强烈的环境真实性。丰富的现实世界细节和可信的人类动作。 摄像风格：2000年代初消费级DV摄像机的美学。朋友随意记录日常生活瞬间。强烈的手持抖动，不完美的构图，频繁的自动对焦搜索，镜头呼吸，在阳光和阴影间移动时的曝光波动，偶尔的运动模糊，轻微的滚动快门，中等数字压缩伪影，褪色的色彩，柔和的对比度，轻微的传感器噪点。没有稳定。没有电影化的摄像机移动。没有现代色彩分级。 00:00–00:02 她在观众席绿色座椅上，右手轻扶草帽帽檐，微笑地看着前方球场方向。一阵微风吹动帽檐边缘和发丝。她自然地微笑，而摄像机努力保持焦点在她的脸上，手持明显抖动。 00:02–00:04 摄像机从侧面跟随她，她微微侧身观看比赛，注意到精彩瞬间，表情生动。构图偏离中心，因为操作者试图跟上她的反应。自动对焦反复在她的脸部和远处的球场之间切换。 00:04–00:06 近距离捕捉她温暖的笑容，她似乎被场上的一个好球逗乐，肩膀轻颤。阳光透过草帽在她脸上投下移动的柔和阴影。镜头有自然的呼吸和轻微曝光波动。 00:06–00:08 稍宽的构图，她舒适地坐在座位上，身体放松，左手放在腿上，继续观察比赛。偶尔用手拨弄耳边头发或调整裙摆。手持镜头带有自然的漂移，云层移动时光线发生变化。 00:08–00:10 侧脸近距离轮廓。她注意到摄像机（朋友），转过身来，露出真诚温暖的微笑，轻轻举手致意或调整帽子。摄像机稍晚捕捉到这一刻，然后自然结束录制。 音频：仅自然环境音——轻柔的风声、远处网球拍击球的清脆声、观众席微弱的低语和偶尔掌声、座椅轻微的吱嘎声、草地或周围旗帜的沙沙声。细微的赛事氛围。没有音乐。没有音效设计。没有旁白。 目标：捕捉真实的网球赛事观众的温暖生活片段，仿佛一段被遗忘的2000年代初家庭录像——即兴、不完美、真实、温暖且极具说服力。

📖 MOST CREATORS PROMPT SEEDANCE 2.0 WRONG — HERE'S THE JSON METHOD THAT FIXES IT This workflow takes about 12 minutes and most creators are still skipping it. Here's the exact pipeline: Generate the base frame in ChatGPT Image — keep the prompt specific: subject, lighting, camera distance, mood Drop that image into Seedance 2.0 as the reference frame Use a structured JSON prompt instead of a plain text description — Seedance reads structured data far more consistently than freeform sentences Define camera movement, duration, and motion intensity as separate fields, not buried in a paragraph Example JSON prompt: { "scene": "vast sky realm with floating stone islands and waterfalls pouring into clouds below", "subject": "lone hooded figure in weathered cloak and armor, standing on a cliff edge", "action": "raises both arms to open a glowing circular portal etched with ancient symbols", "camera_movement": "slow push in, low angle tilting up toward the portal", "duration": "6s", "motion_intensity": "medium", "environment": "floating islands suspended in golden haze, twin waterfalls cascading into a sea of clouds", "lighting": "warm backlit sun, golden hour haze, glowing rim light on the figure", "effects": "swirling energy ring, light particles streaming upward, faint lens flare", "color_palette": "teal sky, amber light, desaturated stone tones", "mood": "epic, mystical, ancient power awakening" } Feed that JSON straight into Seedance 2.0's prompt field Render and review — if motion feels off, adjust motion_intensity first, that field controls most of the result Stack 3-4 clips with matching lighting fields for a consistent short sequence The reason JSON beats plain text here: each field is isolated, so the model doesn't have to guess which word controls what. Camera behavior becomes predictable instead of random. This is also where the monetization angle gets interesting — brands paying for short cinematic ads care less about the prompt method and more about consistency across multiple clips. JSON prompting is what makes that consistency repeatable at scale. ~ The video was created by Aastha ~ 📥Tomorrow I will reveal something so underrated it almost did not make it into a post. 🔖Every step of this workflow is documented in the pinned article below.

Seedance 2.0 + cinematic tutorial below 👇