Depth-aware light injection in VisionCamera This runs Depth- (DINOv2)... and Hand-detection (Apple VN) for 448x336 Frames in less than 25ms, then zero-copy renders lighting/shadows with react-native-webgpu - I felt like Tony Stark while moving the invisible light around 🦸🏻‍♂️show more

So apparently Apple has begun production of a variable... aperture camera for the iPhone 18 Pro Max. This would let the lens physically change its aperture depending on lighting, opening up in low light and narrowing in bright scenes. The result should be better exposure control and more natural depth of field. Korean publication ETNews reports that Sunny Optical has already started producing the tiny actuators responsible for this movement with full camera module assembly expected to kick off in early summer. It’s happening! Concept video by fpt./YouTubeshow more

Depth video workflows have been getting a lot of... attention lately, so I tested one myself. Combined with Seedance 2.0, it produced more natural motion-transfer results than using Kling Motion Control directly. Why use a depth video? 1. It removes the original character and scene details, reducing copyright and sensitive-content risks. 2. It preserves the original motion, timing, and spatial structure. This separates motion extraction from visual generation, allowing you to recreate the movement with better models and any reference character. We’ve also launched a free online tool that converts regular videos into depth videos—no local setup required: In the example below, we converted a dance video from Douyin into a depth video, then regenerated it with a reference character using Seedance 2.0. The original choreography and timing are preserved, while the lighting adapts naturally to the new character and scene.show more

✨ Every time the video models get better, the... try on model on Photo AI also becomes a lot more useful, as a large % of my customers now are e-commerce store And showing clothes in a video is nice for sales! With AI this means stores don't need to do expensive shoots flying a model and entire camera and light crew around the world They can just upload a few photos of their models, then upload the clothes, and describe the setting (like a beach in Thailand) and in less than 10 seconds it's generated, for a video in less than a minute! Below is the input: a dress laid flat, and output: a full video shootshow more

Grok Imagine doesn’t do basic. Hyper-detail. Light that breathes.... Motion so smooth it feels alive. Dreamy without trying too hard. Go on. Try your own. Prompt: Ultra-realistic cinematic fantasy portrait of a royal woman with soft glowing skin, wearing an ornate blue and gold gown with intricate embroidery and a jeweled crown She stands in a grand palace with tall arched windows and elegant blue-toned architecture, warm golden light pouring in from behind Several vivid blue butterflies gently flutter around her hands and shoulders Her long wavy hair subtly flows as if moved by a soft breeze She slowly raises her hands with graceful, delicate movements while watching the butterflies The butterflies land briefly on her fingers and lift off again, leaving faint glowing particles Soft magical mist curls in the background, adding depth and atmosphere Camera starts as a medium close-up and slowly pushes in toward her face Very subtle motion, like a living painting, calm and elegant Volumetric lighting, soft glow, cinematic depth of field, dreamy atmosphere Hyper-detailed, photorealistic, 8K, film-grade color, realistic skin texture Smooth motion, no cartoon, no illustration ethereal aura, soft light bloom, shimmering particles, divine feminine energyshow more

I created this video on Renoise GPT Image 2... + Seedance 2.0 Prompt for Storyboard Pixar-quality 3D animation, expressive character acting, cinematic realism, warm emotional storytelling, beautiful rain simulation, volumetric lighting, soft depth of field, highly detailed water physics, emotional sports-drama tone, light green cycling gear, cinematic camera movement, premium animated short-film quality. MAIN CHARACTER: A determined young female cyclist wearing a light green helmet, light green rain jacket, and light green face covering. Large expressive Pixar-style eyes, realistic wet textures, strong but relatable personality. SCENE 1 (0–2s) — "THE STORM" Extreme close-up on her eyes. Heavy rain pours down at night. Water runs across her face. Her eyes show determination but also uncertainty. A tiny red bike light reflects in her pupils. She takes a deep breath. Emotion: Fear → Courage SCENE 2 (2–4s) — "DON'T GIVE UP" Medium shot. She pedals hard through the storm. Rain and fog reduce visibility. Her front light flickers. The road ahead disappears into darkness. For a moment she slows, unsure. Then she grips the handlebars tighter and pushes forward. SCENE 3 (4–5s) — "THE CHALLENGE" #RenoiseCanvasshow more

The best look is one that feels natural. Smiles... create moments worth remembering.😊 ▫️Photos & Video Made With AI (Gemini Nano Banana Flash 3.6) ▫️Light Edit in InShot ▫️Prompted & Edited By Me. Here's the full prompt I used: "Create a photorealistic indoor lifestyle portrait of a young woman relaxing in a cozy, elegant living space. 1. Subject description, hair, skin, expression & pose: A young woman with fair, naturally textured skin and subtle freckles. Long auburn-red hair styled in a high ponytail, with loose wavy strands framing both sides of her face. Natural eyebrows, light-colored eyes, soft facial features, and realistic skin texture. She has a warm, genuine smile and a relaxed, friendly expression while looking directly at the camera. She is seated comfortably in the center of a large beige upholstered armchair, with her legs positioned naturally in a relaxed cross-legged sitting pose. Her hands rest casually beside her on the chair, creating an authentic, spontaneous lifestyle-photo feeling. Keep her anatomy and proportions natural and realistic, with no exaggerated features. 2. Clothing & accessories: A simple cream-colored fitted sleeveless top with narrow shoulder straps and clean minimalist styling. High-waisted light-wash denim jeans with realistic stitching, seams, belt loops, and subtle fabric texture. Minimal accessories, such as a delicate necklace or small understated earrings. Natural, polished appearance without excessive makeup or distracting accessories. 3. Environment & lighting: Warm, sophisticated living room with a large textured beige armchair and a neutral stone or plaster-textured wall behind her. Soft, warm indoor illumination creates gentle highlights across her face and hair. Add subtle ambient shadows around the chair and background for depth. Neutral beige, cream, and warm-brown tones throughout the room create a calm, comfortable atmosphere. The environment should feel clean, contemporary, intimate, and naturally lived-in without appearing overly staged. 4. Camera & visual style: Professional lifestyle portrait photography, photographed on an 85mm lens at approximately f/2.8. Eye-level camera perspective with a carefully balanced vertical composition. Shallow depth of field while keeping the woman's face and clothing sharply detailed. Soft diffused key light, gentle fill light, realistic shadows, natural skin tones. High dynamic range, subtle cinematic color grading, realistic fabric textures, detailed individual hair strands, authentic skin texture, crisp focus, and natural depth. Premium editorial photography aesthetic, photorealistic quality, realistic proportions, high detail, and a warm cinematic atmosphere."show more

“Then Jesus spoke to them again, saying, "I am... the light of the world. He who follows Me shall not walk in darkness, but have the light of life." - John 8:12 In John 8:12, Jesus declares, "I am the Light of the world. Whoever follows me will never walk in darkness, but will have the light of life." This profound statement reveals the identity of Christ and His role in our lives. In the ancient world, light symbolized knowledge, goodness, and divine revelation. Jesus, as the Light of the world, guides us through the darkness of sin and confusion. When we choose to follow Him, we step out of the shadows and into clarity, purpose, and truth. This choice transforms our identity. No longer are we lost wanderers, but children of light, reflecting. His glory. Christian living calls us to walk in this light daily. It means aligning our actions and decisions with His teachings. It involves seeking His presence through prayer, scripture, and fellowship. As we do this, His light shines through us, impacting those around us and drawing them to Him. In the 21st century, distractions abound. The digital age presents us with endless streams of information, often leading to confusion and a loss of direction. Yet, amidst this noise, Jesus offers a clear path. Following Him doesn't mean life will be devoid of challenges. But it assures us we'll never face them alone or in darkness. Reflect on your spiritual growth. Are you walking in His light? When faced with decisions, do you seek His guidance first? Consider how you can let His light shine through you to bless others. As you reflect, ask yourself: How can I more fully embrace my identity in Christ and allow His light to guide my everyday choices? Seek His wisdom and let His light illuminate your path. Let us pray: Heavenly Father, I come before You with a heart open to embodying the teachings of Your Son, Jesus Christ. As I journey through the Beatitudes, the Fruits of the Spirit, and the call to walk in faith, I ask for Your guidance and wisdom. Help me to practice forgiveness as Jesus did. To embrace the community of believers, and to live with the purpose You have designed for me. May my life reflect the love and grace of Christ in all I do. Lord, as I reflect on my journey, strengthen my commitment to follow Jesus wholeheartedly. Let my actions and words be a testament to His love and teachings. In the Almighty name of the Lord of Lords and King of Kings Jesus Christ, I pray. Amen.show more

Come with all your shame, come with your swollen... heart. I have never seen anything more beautiful than you. Bring the scars that sting and the nights that felt too long. Bring the trembling hands and the tears that fell in silence. Every broken piece is a note in a song only you could sing, Every quiet fear is a light waiting to be seen. Do not hide, do not apologize, do not shrink. I will meet you here, where the world does not judge Where your weight is not a burden but a testament, to the depth you carry and the strength you cannot yet name. Come as you are, raw and unafraid, for in your presence I find a beauty that has no mirror.show more

Turn your imagination into motion on Grok. How? Prompt:... A mysterious beautiful woman sits calmly on a throne made of stars floating in deep space. Galaxies slowly swirl around her like a crown and her dress is made of nebula fabric that gently moves like cosmic smoke. Soft glowing cosmic rim light illuminates her face and detailed realistic skin texture is visible. After a moment she slowly rises from the throne and begins a graceful slow ballet movement in zero gravity. As she stands, the star throne dissolves into thousands of glowing particles and orbiting lights. She performs a soft elegant spin and extends her arms, and her motion causes surrounding galaxies and stardust to follow her movement as if she controls gravity. Her hair flows naturally in weightlessness. No fast dancing — slow, serene ballet, quiet power. The background is deep black space with colorful nebulae and distant suns. Cinematic camera with a slow floating push-in at the beginning, then a gentle orbit around her during the ballet spin, shallow depth of field, smooth motion, no shaking. Scene timing: 0-3 seconds she sits on the star throne with galaxies slowly moving, 3-6 seconds she stands and the throne dissolves into particles, 6-10 seconds she performs a slow ballet spin in zero gravity while galaxies react to her motion. Her movements subtly bend space around her as gravity responds to her presence. Realistic physics, volumetric particles, detailed fabric simulation, no distortion, no extra limbs, no flickering. 4K cinematic quality, 24fps film look, slow motion, calm graceful movement like underwater.show more

One woman. Nine cinematic worlds. Made by using Seedance... 2.0 on Picsart AI Playground: Scene Breakdown — Cinematic Color Grading Series One Western woman, nine moods — a study in color grading, cinematography, and visual storytelling Character Consistency: A beautiful Western woman in her late 20s with long wavy blonde hair, natural features, expressive eyes, elegant yet effortless style. She remains the exact same person across all nine scenes, maintaining identical facial structure, hairstyle, and identity while changing only the mood, lighting, wardrobe details, and cinematic environment. Scene 1 — "Golden Path" Tone: Warm, nostalgic, tender Lighting: Natural golden hour light diffused through thin clouds, soft directional sunlight, cinematic naturalism Camera & Lens: 35mm format, 50mm f/1.4 prime lens, shallow depth of field Scene: The blonde woman walks along a quiet countryside path, gentle breeze moving through her wavy hair, wearing a soft linen dress and a peaceful expression. Warm nostalgic color grading with golden highlights and soft shadows. Scene 2 — "Neon Crossing" Tone: Sleek, mysterious, cinematic-noir Lighting: Urban neon street lighting, wet pavement reflections, dramatic rim lighting, cinematic noir lighting Camera & Lens: Anamorphic cinema lens, 35mm equivalent, shallow depth of field, anamorphic flares Scene: The same blonde woman stands at a rainy city intersection at night, wearing a stylish dark coat, neon colors reflecting across her face, mysterious confident expression, cinematic noir atmosphere. Scene 3 — "Glass Plaza" Tone: Calm, minimalist, composed Lighting: Overcast daylight, subtle negative fill, soft gradual light fall-off Camera & Lens: Medium format aesthetic (Phase One-style), 85mm f/2.8 lens, sharp focus Scene: The woman stands inside a modern glass plaza wearing a minimalist neutral outfit. Her wavy blonde hair frames her face, calm posture, clean architectural background, refined editorial photography style. Scene 4 — "Bright Street" Tone: Energetic, vibrant, confident Lighting: Mixed ambient and natural commercial lighting, bright and inviting, perfect exposure Camera & Lens: High-end digital mirrorless, 70-200mm zoom, compressed perspective, corner-to-corner sharpness Scene: The blonde woman walks through a lively city street, wearing fashionable casual western-inspired clothing, smiling confidently, vibrant colors, luxury lifestyle campaign aesthetic. Scene 5 — "Night Market" Tone: Chaotic, spontaneous, raw Lighting: Direct on-camera hard flash, pitch-black background, harsh specular highlights Camera & Lens: Point-and-shoot digital aesthetic, 24mm wide-angle lens, slight distortion Scene: The woman explores a crowded night market, candid expression, holding street food, messy movement, flash photography style, realistic imperfections, raw documentary feeling. Scene 6 — "Greenhouse Bloom" Tone: Dreamy, delicate, joyful Lighting: Bright overcast natural lighting, backlit ethereal glow, no harsh shadows Camera & Lens: 50mm f/1.2 prime lens, extremely shallow depth of field, soft optical focus Scene: The blonde woman stands among flowers inside a greenhouse, wearing a flowing pastel dress, sunlight glowing through plants, dreamy romantic atmosphere, soft focus beauty. Scene 7 — "Rooftop Dusk" Tone: Dramatic, contemplative, powerful Lighting: Directional dusk light, dramatic chiaroscuro, atmospheric haze Camera & Lens: 35mm f/1.4 prime lens, sharp subject isolation, deep background depth of field Scene: The woman stands on a rooftop overlooking the city at sunset, wearing a structured jacket, wind moving through her blonde waves, powerful cinematic portrait with emotional depth. Scene 8 — "Pastel Spin" Tone: Carefree, nostalgic, playful Lighting: Direct harsh sunlight backlighting, heavy lens flare, hazy atmosphere Camera & Lens: 35mm consumer film camera aesthetic, soft focus lens, light leaks Scene: The blonde woman spins through a colorful outdoor setting, wearing a vintage-inspired outfit, laughing naturally, nostalgic summer film photography style. Scene 9 — "Quiet Café" Tone: Introspective, peaceful, warm Lighting: Overcast soft diffused lighting, gentle window light Camera & Lens: Medium format film aesthetic, soft vintage lens, shallow depth of field Scene: The same woman sits alone in a cozy café near a window, wavy blonde hair softly illuminated, holding coffee, thoughtful expression, warm vintage cinematic mood. Final Instruction: Create one continuous character across nine distinct cinematic color grading styles. Maintain the exact same Western woman with wavy blonde hair, facial identity, and natural beauty throughout all scenes. Ultra-realistic photography, cinematic composition, high detail, professional color grading, 8K realism.show more

🎨Welcome to CANVAS REIMAGINED🎨 Thursday QT CHALLENGE Theme: Painterly... Art What is Painterly Art? Painterly art celebrates the visible, expressive brushwork and textured surface of traditional painting. It emphasises the artist’s hand, thick impasto strokes, blended edges, and the tactile quality of paint rather than smooth, photorealistic finishes. Rooted in movements like Impressionism, Post-Impressionism, and Romanticism, it captures mood, light, and emotion through loose, dynamic brushstrokes that make the medium itself part of the beauty. Challenge: Create your own painterly inspired piece! Capture the rich texture, visible strokes, and artistic energy of classical oil or acrylic painting. Let the brushwork tell the story. Use elements like: • Thick, expressive impasto brushstrokes with visible texture and direction • Soft, blended edges mixed with bold, energetic marks • Rich, layered colours with subtle variations and harmonious palettes • Dramatic light and shadow play, atmospheric depth, and emotional mood • Loose, gestural forms that feel alive and handmade rather than perfectly rendered Here’s a basic template you can try: [main subject], painterly style, expressive brushstrokes, thick impasto texture, visible oil painting marks, loose and gestural, rich colour layering, soft blended edges with bold accents, atmospheric lighting, emotional depth, textured canvas surface, masterpiece, traditional fine art aesthetic, in the style of John Singer Sargent, Vincent van Gogh, or Claude Monet 🎨QT or Share your art. Let’s celebrate the joy of visible brushwork and the soul of painterly expression—most of all, have fun!🎨 #CRTHEMESshow more

One thing that’s been helping my image generations a... lot lately is using environment distribution prompts, kinda like the color distribution ones I shared a couple days ago. Instead of only describing objects, I structure scenes almost like cinematic set design. Basic structure: Foreground → what exists close to camera to create depth Midground → the main focal area / primary environment Background → distant scenery or atmospheric storytelling Lighting → where light comes from + warm/cool contrast Color distribution → where accent colors are concentrated Camera placement → how the viewer sees the environment Visual hierarchy → what the eye notices first Simple formula you can follow: Foreground contains [close-up framing elements]. Midground contains [main environment and focal area]. Background reveals [distant scenery or atmosphere]. Main light source comes from [direction/source]. Accent colors concentrated around [important areas]. Camera positioned [angle/composition]. Environment should feel [mood/emotion]. Example: Ultra-detailed realistic cozy room interior captured from the high upper corner of the room during daytime heavy rain, clean but lived-in aesthetic, cinematic architectural photography with strong environmental storytelling and calming atmosphere. Foreground contains softly blurred hanging plants, warm lamp glow, subtle reflections on glass, ceramic cups, and leafy greenery partially framing the edges of the image to create natural depth without clutter. Midground focuses on a clean realistic workspace and sleeping area with light wood furniture, soft neutral bedding, ergonomic desk chair, dual monitors, subtle ambient lighting, carefully placed décor, small plants, candles, and minimal cozy accessories. A sleeping cat curled up comfortably on the bed adds warmth and life to the scene. Background dominated by massive floor-to-ceiling windows revealing dense green trees outside during a windy rainstorm. Lighting should feel realistic and cinematic with cool diffused storm daylight entering through the windows while warm practical lights softly illuminate the interior. Dominant palette consists of soft beige, warm cream, pale oak wood, muted forest greens, foggy gray-blue shadows, and restrained warm amber lighting accents. Environment should feel peaceful, immersive, cozy during bad weather, and emotionally comforting.show more

THE DEPTH MAP TRICK THAT FIXED DANCE ACCURACY IN... SEEDANCE 2.0 Feed the model a video of someone dancing and it tries to interpret everything- the person, the clothes, the lighting, the room, and somewhere in there, the movement. Feed it a depth map and there's nothing left to interpret but the motion. Most creators trying to transfer a dance to a character reference the source footage directly, then wonder why the choreography drifts. The problem isn't the model - it's that you handed it ten variables when you only wanted one. Here's the workflow 1. Lock the character reference in GPT Image 2 first -face, build, costume, so identity holds independently of whatever motion gets applied to it 2. Convert the source dance footage into a depth map instead of using the raw video -this strips out the original performer's appearance, clothing, and environment entirely 3. Feed the depth map as the motion reference and the character sheet as the identity reference- two separate inputs doing two separate jobs, not one input trying to do both 5. Let the depth map carry only spatial movement -the model receives body position and momentum with no competing information about who's moving or what they look like 6. Keep the character and motion inputs isolated throughout - the moment you mix appearance data into the motion reference, the model starts negotiating between two identities Why this works • Raw footage passes the model everything at once- performer, wardrobe, room, lighting -and the choreography competes with all of it for attention • A depth map is pure spatial information, so the only thing left to transfer is movement • Separating identity from motion means the character can stay locked while the dance stays accurate - normally you're trading one for the other • The accuracy gain isn't the model getting better, it's the model getting fewer decisions to make Use cases: ⁃ Dance and choreography transfer onto original characters ⁃ Motion capture-style workflows without motion capture ⁃ Any sequence where a specific movement needs to survive intact ⁃ Character showcase content built on existing performance footage The character sheet answers who's dancing. The depth map answers how - and keeping those two questions separate is the whole trick.show more

THE DEPTH MAP TRICK THAT FIXED DANCE ACCURACY IN... SEEDANCE 2.0 Feed the model a video of someone dancing and it tries to interpret everything- the person, the clothes, the lighting, the room, and somewhere in there, the movement. Feed it a depth map and there's nothing left to interpret but the motion. Most creators trying to transfer a dance to a character reference the source footage directly, then wonder why the choreography drifts. The problem isn't the model - it's that you handed it ten variables when you only wanted one. Here's the workflow 1. Lock the character reference in GPT Image 2 first -face, build, costume, so identity holds independently of whatever motion gets applied to it 2. Convert the source dance footage into a depth map instead of using the raw video -this strips out the original performer's appearance, clothing, and environment entirely 3. Feed the depth map as the motion reference and the character sheet as the identity reference- two separate inputs doing two separate jobs, not one input trying to do both 5. Let the depth map carry only spatial movement -the model receives body position and momentum with no competing information about who's moving or what they look like 6. Keep the character and motion inputs isolated throughout - the moment you mix appearance data into the motion reference, the model starts negotiating between two identities Why this works • Raw footage passes the model everything at once- performer, wardrobe, room, lighting -and the choreography competes with all of it for attention • A depth map is pure spatial information, so the only thing left to transfer is movement • Separating identity from motion means the character can stay locked while the dance stays accurate - normally you're trading one for the other • The accuracy gain isn't the model getting better, it's the model getting fewer decisions to make Use cases: ⁃ Dance and choreography transfer onto original characters ⁃ Motion capture-style workflows without motion capture ⁃ Any sequence where a specific movement needs to survive intact ⁃ Character showcase content built on existing performance footage The character sheet answers who's dancing. The depth map answers how - and keeping those two questions separate is the whole trick.show more

Video diffusion models have strong implicit representations of 3D... shape, material, and lighting, but controlling them with language is cumbersome, and control is critical for artists and animators. GenLit connects these implicit representations with a continuous 5D control signal describing the direction and intensity of a point light source. This enables single-image near-field relighting of an image using a video diffusion model. We use a ControlNet-like approach and show that, with a small amount of synthetic data, GenLit generalizes to complex real-world images. Given a single image and the 5D lighting signal, GenLit creates a video of a moving light source that is inside the scene. It moves around and behind scene objects, producing effects such as shading, cast shadows, secularities, and interreflections with a realism that is hard to obtain with traditional inverse rendering methods. GenLit shows that it is possible to get continuous control over implicit physical processes within a video model. I think this is just the beginning and promises to make such models much more practical for creators. Shrisha Bharadwaj will present today at SIGGRAPH Asia Room: S423/S424, Level 4 @ 13:50 on 15 of Dec.show more

I give you an example video here, this is... not Tamilnadu, look at the fan how she behaving and look at the guy behind with coolers who i try to calm down.. AK sir love his fans unconditionally, but he never wanted to be treated like a show piece or like an entertainment property, he is working there so he want no disturbance during that time, he clearly gives time for fans, never run away!! Fans make the mistake and try to put him in a bad light when he react, and he never come out with bouncers who toss people around like parotta.. He never sugar coat anything!show more

Made this premium FILA style fashion ad using Seedance... 2.0. No voiceover,just cinematic visuals, studio lighting, and clean transitions. ✨ PROMPT: Create a 15-second high energy luxury fashion commercial featuring a stylish young woman wearing a white, black, and red color block FILA puffer jacket with a high stand collar, front zipper, quilted padding, and iconic chest logo. Film inside a premium fashion studio with a clean white seamless backdrop, professional softbox lighting, dramatic rim lights, and subtle haze for cinematic depth. Shot on ARRI Alexa 35, Cooke Anamorphic lenses, ultra-realistic 4K HDR, 120fps slow motion for selected moments, crisp editorial color grading, shallow depth of field, premium sportswear campaign aesthetic. Sequence 0–2 sec Rapid macro cuts of the jacket: Close-up of the FILA logo Zipper being pulled up Puffy quilted texture Sleeve color blocking Light gliding across the fabric 2–5 sec The model throws the jacket onto her shoulders in one fluid motion, then quickly zips it up. Fast dolly push-in with dynamic lighting transitions. 5–8 sec Confident runway walk toward the camera. Quick alternating shots: Full-body tracking shot Low-angle hero shot Side profile Close-up of the jacket moving naturally 8–12 sec Quick fashion poses: Adjusting the collar Hands in pockets Looking over the shoulder Half spin Slow-motion hair movement Camera circles around the model 12–15 sec Hero ending. The model stops in the center of the studio, confidently facing the camera. Slow push-in as the jacket fills the frame. End with a clean luxury brand reveal and space for the FILA logo. Style Luxury sportswear campaign, modern streetwear fashion, premium studio production, Vogue editorial, energetic editing, fast-paced cuts every 0.5–1 second, cinematic lighting, ultra-realistic fabric texture, dramatic highlights, smooth gimbal movement, subtle handheld energy, premium commercial quality, stylish, youthful, confident, visually striking. Audio Modern upbeat electronic instrumental with cinematic bass and rhythmic beats. No voiceover. No dialogue. No ambient sounds. No subtitles. Music synchronized with every fast cut for maximum impact.show more

Created with Gpt Image 2 + Seedance 2.0 on... Yapper Prompt: Create a high-quality 4K cinematic romantic couple storyboard layout with EXACTLY 8 PANELS ONLY (no more, no less), with soft golden lighting, dreamy atmosphere, and a film-style aesthetic. The scene feels like a romantic movie with gentle background music mood (visual only, no text or lyrics). No text anywhere. The storyboard must include exactly these 8 scenes: Morning scene—couple waking up softly in warm sunlight, peaceful expressions Close-up—smiling at each other, natural eye contact, soft emotions Walking together outdoors (street, park, or beach), relaxed and happy Playful moment—laughing, light teasing, holding hands while walking Dancing together slowly (indoors or under sunset), intimate and calm Close romantic moment—forehead touch or gentle hug Kiss scene—soft, emotional, cinematic lighting (tasteful, non-explicit) Final frame—quiet embrace or walking away together, warm peaceful ending Use cinematic camera angles (wide, close-up, over-shoulder), shallow depth of field, soft glow, and natural expressions. Focus on love, warmth, and emotional connection, like a romantic film scene. Strict rule: only 8 panels, no repetition, no extra framesshow more

这个太好玩了！ 我也玩了一个 GPT image2 + Seedance2.0 face 提示词： Ultra-realistic... sports broadcast still of a glamorous woman sitting in a packed football stadium crowd during a night match, wearing a dark brown sleeveless high-neck satin top and black square earrings, shoulder-length light brown/blonde hair styled in soft waves. She is casually drinking from a tall blue aluminum can while holding a half-eaten cheeseburger in the other hand. Around her are fans in bright yellow and blue football jerseys and scarves, creating strong team-color contrast. The scene feels candid and cinematic, captured mid-game from a TV broadcast camera angle with shallow depth of field. Include realistic stadium seating, crowded audience atmosphere, broadcast overlay graphics in the top-left corner showing a live football score and match timer, and a sports network watermark in the top-right. Natural arena lighting, detailed skin texture, sharp focus on the woman, slightly blurred background crowd, authentic live sports broadcast aesthetic, 16:9 composition. 出图后，生成视频show more