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Tamanna Bhatia 🩷 Created this by using a movement sheet as a reference image to animate the dance using Seedance 2.0 + ChatGPT image 2.0 GPT Image 2.0 Prompt: Dance Sequence Instruction Sheet [VISUAL STYLE] A composition featuring a highly detailed 3D-rendered female dancer. Designed like a professional choreography...

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🇨🇳 Another great Chinese Model, OmniHuman-1.5 from ByteDance Turns 1 image plus a voice track into expressive avatar video by pairing a System 1 and System 2 inspired planner with a Diffusion Transformer, Produces coherent motion for over 1 minute with moving camera and multi character scenes. Most avatar models move to the beat of the audio but miss meaning, so gestures feel generic and emotions feel shallow. The fix here is a Multimodal LLM planner that listens to the speech and drafts a structured plan describing intent, emotions, beats, and high level actions, which gives the motion engine clear semantic targets instead of only rhythm. The motion engine is a Multimodal Diffusion Transformer that fuses the plan with audio, the single reference image, and optional text prompts, then synthesizes continuous body, face, and head motion that matches both words and tone. A key trick is a Pseudo Last Frame, a synthetic target that summarizes the next expected state, which stabilizes fusion across modalities and keeps motion consistent over long spans. From just 1 image and speech, the system outputs speaking avatars with synchronized lips, context aware gestures, and continuous camera movement, and it also supports multi character interactions without manual choreography. Reported results show strong lip sync accuracy, high video quality, natural motion, and close match to text prompts, and the same setup works on nonhuman characters too.
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🇨🇳 Another great Chinese Model, OmniHuman-1.5 from ByteDance Turns 1 image plus a voice track into expressive avatar video by pairing a System 1 and System 2 inspired planner with a Diffusion Transformer, Produces coherent motion for over 1 minute with moving camera and multi character scenes. Most avatar models move to the beat of the audio but miss meaning, so gestures feel generic and emotions feel shallow. The fix here is a Multimodal LLM planner that listens to the speech and drafts a structured plan describing intent, emotions, beats, and high level actions, which gives the motion engine clear semantic targets instead of only rhythm. The motion engine is a Multimodal Diffusion Transformer that fuses the plan with audio, the single reference image, and optional text prompts, then synthesizes continuous body, face, and head motion that matches both words and tone. A key trick is a Pseudo Last Frame, a synthetic target that summarizes the next expected state, which stabilizes fusion across modalities and keeps motion consistent over long spans. From just 1 image and speech, the system outputs speaking avatars with synchronized lips, context aware gestures, and continuous camera movement, and it also supports multi character interactions without manual choreography. Reported results show strong lip sync accuracy, high video quality, natural motion, and close match to text prompts, and the same setup works on nonhuman characters too.

Rohan Paul

63,859 просмотров • 10 месяцев назад

Created this race using GPT Image 2 and Seedance 2.0 on TapNow Prompt Follow the storyboard strictly in exact order from Panel 1 to Panel 9. Do not skip, merge, or rearrange scenes. Keep the SAME female cyclist identity across the entire film. No face changes, no hairstyle changes, no helmet changes, no body proportion inconsistencies. Baby pink must remain the dominant apparel color throughout all cycling scenes. Avoid black wardrobe replacements. Preserve realistic nighttime lighting continuity between shots. Maintain the same cool blue tones and subtle red light reflections. Heavy rain intensity must stay visually consistent across all scenes. Water physics must look physically accurate: droplets, splashes, mist, wheel spray, and runoff should behave naturally. Avoid artificial AI motion. Camera movement should feel like real cinema rigs, FPV drones, mounted bike cameras, or stabilized tracking systems. Drone shots must maintain locked framing and smooth movement without random drifting or orbiting. Use subtle cinematic motion only — no excessive shaking or jitter. Keep realistic breathing, body fatigue, pedaling mechanics, and fabric reactions to wind and rain. Preserve shallow depth of field in macro shots and atmospheric haze in wide shots. Keep the environment dark, moody, and cinematic with strong contrast between wet reflections and darkness. Ensure all reflections on asphalt, water droplets, and bike components react naturally to changing light sources. Maintain premium commercial pacing: slow controlled preparation and macro shots transitioning into aggressive high-speed riding sequences. Final output should resemble a high-budget Nike / Rapha night cycling commercial shot during a real mountain storm. Ultra-realistic cinematic night cycling commercial about female endurance cyclists riding through an intense rainstorm in the mountains at night. Premium Nike / Rapha aesthetic with baby pink performance cycling apparel as the dominant accent color. Hyper-realistic documentary look, no stylization, no anime look, no beauty filters. Natural skin texture, realistic rain interaction, physically accurate water behavior, cinematic low-key lighting, cool blue night tones mixed with subtle red rear-light reflections. Heavy rain, fog, wet asphalt reflections, cinematic motion blur, high dynamic range, shallow depth of field, premium sports commercial quality. The film follows a strict 9-panel storyboard structure with seamless cinematic transitions and continuity preserved across every scene. The SAME female cyclist identity must remain consistent throughout the entire video: same face, helmet, glasses, body proportions, baby pink apparel, lighting style, and overall appearance. Maintain continuity of rain intensity, wetness, fog density, and environmental lighting between all shots. Panel 1: Extreme macro close-up of the female cyclist’s eyes and face in heavy rain at night. Focus on soaked eyelashes, wet skin texture, raindrops streaming across the face, baby pink helmet and baby pink face mask visible. Red rear bike light flickers dynamically across her eyes and skin while cool blue night tones dominate the scene. High contrast cinematic lighting, shallow depth of field, subtle breathing motion, intense determined expression. Panel 2: Cinematic medium close-up frontal shot of the cyclist riding aggressively through heavy rain at night. She pedals hard with strong effort and forward-leaning posture. Baby pink waterproof cycling jacket soaked with rainwater. Front bike light cuts through fog and rain with subtle flickering illumination. Wet asphalt reflects red and white lights. Smooth cinematic tracking shot with controlled stable motion and slight natural float. Panel 3: Ultra-realistic macro shot of large raindrops impacting wet asphalt at night. Crown-shaped splashes and overlapping ripples in slow motion. Rough wet asphalt texture, cool blue cinematic tones, subtle reflections from bike lights.
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Created this race using GPT Image 2 and Seedance 2.0 on TapNow Prompt Follow the storyboard strictly in exact order from Panel 1 to Panel 9. Do not skip, merge, or rearrange scenes. Keep the SAME female cyclist identity across the entire film. No face changes, no hairstyle changes, no helmet changes, no body proportion inconsistencies. Baby pink must remain the dominant apparel color throughout all cycling scenes. Avoid black wardrobe replacements. Preserve realistic nighttime lighting continuity between shots. Maintain the same cool blue tones and subtle red light reflections. Heavy rain intensity must stay visually consistent across all scenes. Water physics must look physically accurate: droplets, splashes, mist, wheel spray, and runoff should behave naturally. Avoid artificial AI motion. Camera movement should feel like real cinema rigs, FPV drones, mounted bike cameras, or stabilized tracking systems. Drone shots must maintain locked framing and smooth movement without random drifting or orbiting. Use subtle cinematic motion only — no excessive shaking or jitter. Keep realistic breathing, body fatigue, pedaling mechanics, and fabric reactions to wind and rain. Preserve shallow depth of field in macro shots and atmospheric haze in wide shots. Keep the environment dark, moody, and cinematic with strong contrast between wet reflections and darkness. Ensure all reflections on asphalt, water droplets, and bike components react naturally to changing light sources. Maintain premium commercial pacing: slow controlled preparation and macro shots transitioning into aggressive high-speed riding sequences. Final output should resemble a high-budget Nike / Rapha night cycling commercial shot during a real mountain storm. Ultra-realistic cinematic night cycling commercial about female endurance cyclists riding through an intense rainstorm in the mountains at night. Premium Nike / Rapha aesthetic with baby pink performance cycling apparel as the dominant accent color. Hyper-realistic documentary look, no stylization, no anime look, no beauty filters. Natural skin texture, realistic rain interaction, physically accurate water behavior, cinematic low-key lighting, cool blue night tones mixed with subtle red rear-light reflections. Heavy rain, fog, wet asphalt reflections, cinematic motion blur, high dynamic range, shallow depth of field, premium sports commercial quality. The film follows a strict 9-panel storyboard structure with seamless cinematic transitions and continuity preserved across every scene. The SAME female cyclist identity must remain consistent throughout the entire video: same face, helmet, glasses, body proportions, baby pink apparel, lighting style, and overall appearance. Maintain continuity of rain intensity, wetness, fog density, and environmental lighting between all shots. Panel 1: Extreme macro close-up of the female cyclist’s eyes and face in heavy rain at night. Focus on soaked eyelashes, wet skin texture, raindrops streaming across the face, baby pink helmet and baby pink face mask visible. Red rear bike light flickers dynamically across her eyes and skin while cool blue night tones dominate the scene. High contrast cinematic lighting, shallow depth of field, subtle breathing motion, intense determined expression. Panel 2: Cinematic medium close-up frontal shot of the cyclist riding aggressively through heavy rain at night. She pedals hard with strong effort and forward-leaning posture. Baby pink waterproof cycling jacket soaked with rainwater. Front bike light cuts through fog and rain with subtle flickering illumination. Wet asphalt reflects red and white lights. Smooth cinematic tracking shot with controlled stable motion and slight natural float. Panel 3: Ultra-realistic macro shot of large raindrops impacting wet asphalt at night. Crown-shaped splashes and overlapping ripples in slow motion. Rough wet asphalt texture, cool blue cinematic tones, subtle reflections from bike lights.

Sharon Riley

72,716 просмотров • 2 месяцев назад

The simplest way to create an AI influencer using workflow (3 steps): Nano Banana → Veo 3 → Arcads AI Workflow Step 1: Build your character with a JSON prompt (Nano Banana Workflow) → Use a structured JSON prompt instead of writing random text → Define the look clearly: character, outfit, lighting, camera style, background → Add negative constraints like: no logos, no text, no extra fingers, no CGI skin, no warped mirror This makes the output more stable and reusable. You’re not just prompting. You’re building a repeatable image system Step 2: Turn image → video (Veo 3 Workflow) → Connect the Nano Banana output directly into Veo 3 → Add a simple motion prompt: slight body movement, natural head turn, subtle phone movement → Keep it minimal so it feels more real Workflow removes the manual back-and-forth. Step 3: Add script + voice (Arcads AI Workflow) → Feed the generated video into Arcads AI → Add a short script, usually 10–20 seconds → Generate voice + lipsync that matches the character vibe Now the character becomes actual content. Why workflow matters: Prompt → Image → Video → Voice No messy manual process. No repeating the same setup every time. Just a clean pipeline you can scale. Nano Banana + Veo 3 + Arcads AI + workflow feature = simple AI influencer factory
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The simplest way to create an AI influencer using workflow (3 steps): Nano Banana → Veo 3 → Arcads AI Workflow Step 1: Build your character with a JSON prompt (Nano Banana Workflow) → Use a structured JSON prompt instead of writing random text → Define the look clearly: character, outfit, lighting, camera style, background → Add negative constraints like: no logos, no text, no extra fingers, no CGI skin, no warped mirror This makes the output more stable and reusable. You’re not just prompting. You’re building a repeatable image system Step 2: Turn image → video (Veo 3 Workflow) → Connect the Nano Banana output directly into Veo 3 → Add a simple motion prompt: slight body movement, natural head turn, subtle phone movement → Keep it minimal so it feels more real Workflow removes the manual back-and-forth. Step 3: Add script + voice (Arcads AI Workflow) → Feed the generated video into Arcads AI → Add a short script, usually 10–20 seconds → Generate voice + lipsync that matches the character vibe Now the character becomes actual content. Why workflow matters: Prompt → Image → Video → Voice No messy manual process. No repeating the same setup every time. Just a clean pipeline you can scale. Nano Banana + Veo 3 + Arcads AI + workflow feature = simple AI influencer factory

Alex Nguyen

35,544 просмотров • 3 месяцев назад

PROMPT DROP 🚨 for Creators & NFT Collectors. 🎨 Minting the Self: Genesis of the Living Canvas🪽 The prompt is optimised to inherit the style, colour palette, and personality of your character. 💀 Drop your creations below 🌐 Keen to see what you mint 👀 🚨PROMPT👇🏼 Use the provided PFP/NFT character as the primary reference. The character must remain fully recognizable and true to its original design—preserve exact facial features, proportions, textures, materials, color palette, accessories, and overall personality. All elements in the scene must adapt to and harmonize with the character’s unique visual style—whether that is cartoon, anime, voxel, hyper-realistic, or stylized 3D. Create a hyper-detailed fine art studio scene where the character stands before a massive canvas. The painting on the canvas is a fully completed, master-level version of the same character, rendered in a refined, elevated interpretation of its original style. The character’s signature identity feature (mask, face, helmet, eyes, or defining trait) must be 100% complete, sharp, and highly detailed—serving as the focal anchor of the composition. They hold a paintbrush dripping with material true to their world (oil paint, neon energy, pixels, liquid chrome, etc.), and the colors precisely match their original palette—visually linking the act of painting to the formation of their body. The studio environment subtly inherits the character’s aesthetic and personality: Color grading aligns with the character’s palette (dark, vibrant, pastel, neon, etc.) Props and materials reflect their universe (futuristic, street, fantasy, minimal, luxury) Lighting style matches their mood (soft cinematic, harsh contrast, neon glow, ethereal light) A large window casts natural or stylized light consistent with the character’s world, enhancing texture, depth, and atmosphere. Paint or material drips from both the canvas and the character, seamlessly blending creator and creation, reality and artwork. Style Output: ultra-detailed, cinematic composition, faithful to the character’s original art direction, enhanced with fine art realism and high-end 3D rendering, 8K resolution, museum-quality lighting, rich textures, depth of field, and tactile detail.
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PROMPT DROP 🚨 for Creators & NFT Collectors. 🎨 Minting the Self: Genesis of the Living Canvas🪽 The prompt is optimised to inherit the style, colour palette, and personality of your character. 💀 Drop your creations below 🌐 Keen to see what you mint 👀 🚨PROMPT👇🏼 Use the provided PFP/NFT character as the primary reference. The character must remain fully recognizable and true to its original design—preserve exact facial features, proportions, textures, materials, color palette, accessories, and overall personality. All elements in the scene must adapt to and harmonize with the character’s unique visual style—whether that is cartoon, anime, voxel, hyper-realistic, or stylized 3D. Create a hyper-detailed fine art studio scene where the character stands before a massive canvas. The painting on the canvas is a fully completed, master-level version of the same character, rendered in a refined, elevated interpretation of its original style. The character’s signature identity feature (mask, face, helmet, eyes, or defining trait) must be 100% complete, sharp, and highly detailed—serving as the focal anchor of the composition. They hold a paintbrush dripping with material true to their world (oil paint, neon energy, pixels, liquid chrome, etc.), and the colors precisely match their original palette—visually linking the act of painting to the formation of their body. The studio environment subtly inherits the character’s aesthetic and personality: Color grading aligns with the character’s palette (dark, vibrant, pastel, neon, etc.) Props and materials reflect their universe (futuristic, street, fantasy, minimal, luxury) Lighting style matches their mood (soft cinematic, harsh contrast, neon glow, ethereal light) A large window casts natural or stylized light consistent with the character’s world, enhancing texture, depth, and atmosphere. Paint or material drips from both the canvas and the character, seamlessly blending creator and creation, reality and artwork. Style Output: ultra-detailed, cinematic composition, faithful to the character’s original art direction, enhanced with fine art realism and high-end 3D rendering, 8K resolution, museum-quality lighting, rich textures, depth of field, and tactile detail.

BiBi

11,129 просмотров • 3 месяцев назад

🎬 Want to create cinematic AI videos in seconds? Here’s exactly how I do it using Seedance 2.0 on Yapper: Most people get this wrong… your results depend on how well you *direct* the AI. Here’s the workflow 👇 ✅ Step 1: Open Yapper Go to Create → Video ✅ Step 2: Choose your model Select Seedance 2.0 This model delivers smooth motion, dynamic camera angles, realistic lighting, and strong scene consistency. ✅ Step 3: Write a strong prompt Your prompt is your director. Be specific: Camera movement (pan, zoom, tracking shot) Lighting (golden hour, neon, soft shadows) Environment (city, desert, luxury interior) ✅ Step 4: Add a reference image (optional) Use this to guide style, composition, or subject for more control and consistency. ✅ Step 5: Hit Generate In seconds, your idea turns into a cinematic sequence. 🚀 Pro tip: If it’s not perfect, tweak your prompt — small changes = big difference. From idea → cinematic video in seconds.
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🎬 Want to create cinematic AI videos in seconds? Here’s exactly how I do it using Seedance 2.0 on Yapper: Most people get this wrong… your results depend on how well you *direct* the AI. Here’s the workflow 👇 ✅ Step 1: Open Yapper Go to Create → Video ✅ Step 2: Choose your model Select Seedance 2.0 This model delivers smooth motion, dynamic camera angles, realistic lighting, and strong scene consistency. ✅ Step 3: Write a strong prompt Your prompt is your director. Be specific: Camera movement (pan, zoom, tracking shot) Lighting (golden hour, neon, soft shadows) Environment (city, desert, luxury interior) ✅ Step 4: Add a reference image (optional) Use this to guide style, composition, or subject for more control and consistency. ✅ Step 5: Hit Generate In seconds, your idea turns into a cinematic sequence. 🚀 Pro tip: If it’s not perfect, tweak your prompt — small changes = big difference. From idea → cinematic video in seconds.

Kuria | AI

43,685 просмотров • 2 месяцев назад

One shirt. 10 outfits. Infinite possibilities. Which look are you wearing first? 👀👇 Made with Seedance 2.0 on BudgetPixel AI Prompt: > Create a trendy, ultra-realistic Instagram fashion reel featuring a stylish Gen Z female influencer showing **10 ways to style the same oversized pastel yellow button-up shirt**. No dialogue, only upbeat viral pop music with clean animated text labels for each look. Vertical 9:16. > > Open with the influencer holding the shirt on a hanger in a bright, minimalist apartment. She smiles at the camera and tosses the shirt forward as the text **"1 Shirt 🤍 10 Ways to Style"** appears. > > Fast-paced fashion montage with smooth whip pans, spin transitions, jump cuts, and snap transitions. > > Show these looks: > > 1. Casual Chic – open over a white crop top with wide-leg jeans. > 2. Front Knot – tied at the waist with denim. > 3. Off Shoulder – relaxed styling with sunglasses. > 4. Tucked In – tucked into tailored white trousers with a belt. > 5. Open with Denim Shorts – casual summer look with an iced coffee. > 6. Belted Chic – fully buttoned with a slim belt and black tailored trousers. > 7. Layered Dress – worn open over a fitted white midi dress. > 8. French Tuck – half-buttoned with rolled sleeves and relaxed jeans. > 9. Effortless Layers – draped over the shoulders with white linen trousers and a black tank. > 10. Monochrome Minimal – buttoned with cream wide-leg trousers for a clean luxury look. > > Throughout the video, show the influencer confidently walking, posing, spinning, adjusting the collar and sleeves, fixing sunglasses, holding a coffee, checking herself in a mirror, and smiling naturally. Mix full-body shots, medium shots, close-ups of fabric, accessories, and outfit details. > > Bright natural daylight, warm minimalist interiors, luxury Pinterest aesthetic, cinematic handheld camera movement, shallow depth of field, realistic fabric physics, premium editorial fashion photography, smooth transitions, ultra-realistic 4K HDR. > > End with a quick collage of all 10 looks surrounding the final outfit and the text: **"10 Looks. 1 Shirt. 🤍 Which one's your favorite?"**
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One shirt. 10 outfits. Infinite possibilities. Which look are you wearing first? 👀👇 Made with Seedance 2.0 on BudgetPixel AI Prompt: > Create a trendy, ultra-realistic Instagram fashion reel featuring a stylish Gen Z female influencer showing **10 ways to style the same oversized pastel yellow button-up shirt**. No dialogue, only upbeat viral pop music with clean animated text labels for each look. Vertical 9:16. > > Open with the influencer holding the shirt on a hanger in a bright, minimalist apartment. She smiles at the camera and tosses the shirt forward as the text **"1 Shirt 🤍 10 Ways to Style"** appears. > > Fast-paced fashion montage with smooth whip pans, spin transitions, jump cuts, and snap transitions. > > Show these looks: > > 1. Casual Chic – open over a white crop top with wide-leg jeans. > 2. Front Knot – tied at the waist with denim. > 3. Off Shoulder – relaxed styling with sunglasses. > 4. Tucked In – tucked into tailored white trousers with a belt. > 5. Open with Denim Shorts – casual summer look with an iced coffee. > 6. Belted Chic – fully buttoned with a slim belt and black tailored trousers. > 7. Layered Dress – worn open over a fitted white midi dress. > 8. French Tuck – half-buttoned with rolled sleeves and relaxed jeans. > 9. Effortless Layers – draped over the shoulders with white linen trousers and a black tank. > 10. Monochrome Minimal – buttoned with cream wide-leg trousers for a clean luxury look. > > Throughout the video, show the influencer confidently walking, posing, spinning, adjusting the collar and sleeves, fixing sunglasses, holding a coffee, checking herself in a mirror, and smiling naturally. Mix full-body shots, medium shots, close-ups of fabric, accessories, and outfit details. > > Bright natural daylight, warm minimalist interiors, luxury Pinterest aesthetic, cinematic handheld camera movement, shallow depth of field, realistic fabric physics, premium editorial fashion photography, smooth transitions, ultra-realistic 4K HDR. > > End with a quick collage of all 10 looks surrounding the final outfit and the text: **"10 Looks. 1 Shirt. 🤍 Which one's your favorite?"**

Maria

33,673 просмотров • 11 дней назад

Created with GPT Image 2 + Omni Flash / Seedance 2.0 Prompt: Create a clean, premium storyboard infographic for a product ASMR unboxing video. Design specifications: Background: White background with a modern, minimalist layout. Title at the top: STORYBOARD Product name in bold dark blue: HAN RIVER WET & DRY 2 IN 1 STEAM IRON Subtitle: ASMR UNBOXING (POV HAND) Information boxes below the title: Duration: 30 Seconds (3 Parts) Style: POV Hand, ASMR, Premium Product Commercial Audience: Home Users, Housewife, Young Adults Voiceover: No Voiceover (Pure ASMR) Audio Suggestion: Tapping, Crinkle, Cardboard, Click, Steam, Water Pouring Layout: Create 12 storyboard panels arranged in a 4 column × 3 row grid, divided into three horizontal blocks labeled PART 1 (0 to 10s), PART 2 (10 to 20s), and PART 3 (20 to 30s). Each panel should contain: A numbered dark blue badge (1 to 12) with its respective timestamp. A realistic cinematic image showing the scene. Handwritten white and orange doodle text sketched over the image. Four text sections below every image: VISUAL: ACTION: DOODLE: AUDIO: Aesthetic Style: Premium lifestyle commercial advertising style. Realistic product photography, light wood or beige table, soft warm studio lighting, shallow depth of field, POV hands only with no face visible. The product is a sleek, cream colored handheld steam iron with a gold rimmed ceramic base. Storyboard sequence: PART 1 (0 to 10s) 1 (0 to 2.5s) Visual: Product box placed flat on a wooden table. Action: Hands enter frame and tap the sides of the box. Doodle: NEW! Audio: Cardboard tapping. 2 (2.5 to 5s) Visual: Close up of the box lid, focusing on the brand logo. Action: Fingers gently trace the printed logo and illustration. Doodle: LET'S OPEN! Audio: Finger scratching on cardboard. 3 (5 to 7.5s) Visual: A box cutter slicing the sealing tape. Action: Blade slowly cuts through the adhesive tape. Doodle: SLICE... Audio: Tape cutting. 4 (7.5 to 10s) Visual: The box flaps are opened, revealing the wrapped product and manual inside. Action: Hands open the main flaps wide. Doodle: WOW! Audio: Box opening. PART 2 (10 to 20s) 5 (10 to 12.5s) Visual: Instruction manual being held up. Action: Hands flip through the pages of the manual. Doodle: MANUAL Audio: Paper flipping. 6 (12.5 to 15s) Visual: The iron is lifted out, still wrapped in its protective plastic sheet. Action: Pulling the wrapped unit completely out of the box. Doodle: CRINKLE~ Audio: Plastic crinkling. 7 (15 to 17.5s) Visual: Peeling away the protective plastic cover to reveal the premium body. Action: Hands slowly unwrap and twist the iron to inspect it. Doodle: SO CLEAN! Audio: Plastic removal. 8 (17.5 to 20s) Visual: Ultra close up of the pristine ceramic soleplate. Action: A single finger smoothly glides down the center of the soleplate. Doodle: SMOOTH Audio: Finger glide on ceramic. PART 3 (20 to 30s) 9 (20 to 22.5s) Visual: Rotating the ergonomic handle. Action: Hand twists the handle 180 degrees until it locks into place. Doodle: 180° Audio: Handle rotation click. 10 (22.5 to 25s) Visual: Water being added to the built in tank. Action: Pouring clean water slowly into the small inlet using a measuring cup. Doodle: FILL Audio: Water pouring. 11 (25 to 27.5s) Visual: The steam button being pressed. Action: Thumb presses the button, and a powerful burst of steam erupts from the base. Doodle: PSSSH~ Audio: Steam release blast. 12 (27.5 to 30s) Visual: Final hero shot of the steam iron standing upright next to its box and measuring cup. Action: Hand enters frame to give a confident thumbs up. Doodle: READY! Audio: Light tap on the table. Footer Infographic Sections: WHAT'S IN THE BOX: Small grid icons showing Steam Iron, Instruction Manual, Measuring Cup, and Power Cord. KEY FEATURES: Checkmarks for Wet & Dry 2 in 1 180° Swivel Handle 150ml Water Tank Ceramic Soleplate Powerful Steam WARRANTY: A prominent 2 YEARS WARRANTY shield badge. IDEAL FOR / WHY CHOOSE IT: Minimalist icons for Home Use, Travel, Small Spaces Bullet points: Lightweight Easy to Use Fast Heating Safe Metadata Text Line: Total Duration: 30 Seconds Format: Vertical (9:16) Style: POV Hand, ASMR, Premium Product Commercial Typography should resemble a professional creative agency storyboard layout featuring neat spacing, sharp dark blue accents, thin gray grid boundaries, and a highly polished presentation structure perfect for a client pitch.
0:27

Created with GPT Image 2 + Omni Flash / Seedance 2.0 Prompt: Create a clean, premium storyboard infographic for a product ASMR unboxing video. Design specifications: Background: White background with a modern, minimalist layout. Title at the top: STORYBOARD Product name in bold dark blue: HAN RIVER WET & DRY 2 IN 1 STEAM IRON Subtitle: ASMR UNBOXING (POV HAND) Information boxes below the title: Duration: 30 Seconds (3 Parts) Style: POV Hand, ASMR, Premium Product Commercial Audience: Home Users, Housewife, Young Adults Voiceover: No Voiceover (Pure ASMR) Audio Suggestion: Tapping, Crinkle, Cardboard, Click, Steam, Water Pouring Layout: Create 12 storyboard panels arranged in a 4 column × 3 row grid, divided into three horizontal blocks labeled PART 1 (0 to 10s), PART 2 (10 to 20s), and PART 3 (20 to 30s). Each panel should contain: A numbered dark blue badge (1 to 12) with its respective timestamp. A realistic cinematic image showing the scene. Handwritten white and orange doodle text sketched over the image. Four text sections below every image: VISUAL: ACTION: DOODLE: AUDIO: Aesthetic Style: Premium lifestyle commercial advertising style. Realistic product photography, light wood or beige table, soft warm studio lighting, shallow depth of field, POV hands only with no face visible. The product is a sleek, cream colored handheld steam iron with a gold rimmed ceramic base. Storyboard sequence: PART 1 (0 to 10s) 1 (0 to 2.5s) Visual: Product box placed flat on a wooden table. Action: Hands enter frame and tap the sides of the box. Doodle: NEW! Audio: Cardboard tapping. 2 (2.5 to 5s) Visual: Close up of the box lid, focusing on the brand logo. Action: Fingers gently trace the printed logo and illustration. Doodle: LET'S OPEN! Audio: Finger scratching on cardboard. 3 (5 to 7.5s) Visual: A box cutter slicing the sealing tape. Action: Blade slowly cuts through the adhesive tape. Doodle: SLICE... Audio: Tape cutting. 4 (7.5 to 10s) Visual: The box flaps are opened, revealing the wrapped product and manual inside. Action: Hands open the main flaps wide. Doodle: WOW! Audio: Box opening. PART 2 (10 to 20s) 5 (10 to 12.5s) Visual: Instruction manual being held up. Action: Hands flip through the pages of the manual. Doodle: MANUAL Audio: Paper flipping. 6 (12.5 to 15s) Visual: The iron is lifted out, still wrapped in its protective plastic sheet. Action: Pulling the wrapped unit completely out of the box. Doodle: CRINKLE~ Audio: Plastic crinkling. 7 (15 to 17.5s) Visual: Peeling away the protective plastic cover to reveal the premium body. Action: Hands slowly unwrap and twist the iron to inspect it. Doodle: SO CLEAN! Audio: Plastic removal. 8 (17.5 to 20s) Visual: Ultra close up of the pristine ceramic soleplate. Action: A single finger smoothly glides down the center of the soleplate. Doodle: SMOOTH Audio: Finger glide on ceramic. PART 3 (20 to 30s) 9 (20 to 22.5s) Visual: Rotating the ergonomic handle. Action: Hand twists the handle 180 degrees until it locks into place. Doodle: 180° Audio: Handle rotation click. 10 (22.5 to 25s) Visual: Water being added to the built in tank. Action: Pouring clean water slowly into the small inlet using a measuring cup. Doodle: FILL Audio: Water pouring. 11 (25 to 27.5s) Visual: The steam button being pressed. Action: Thumb presses the button, and a powerful burst of steam erupts from the base. Doodle: PSSSH~ Audio: Steam release blast. 12 (27.5 to 30s) Visual: Final hero shot of the steam iron standing upright next to its box and measuring cup. Action: Hand enters frame to give a confident thumbs up. Doodle: READY! Audio: Light tap on the table. Footer Infographic Sections: WHAT'S IN THE BOX: Small grid icons showing Steam Iron, Instruction Manual, Measuring Cup, and Power Cord. KEY FEATURES: Checkmarks for Wet & Dry 2 in 1 180° Swivel Handle 150ml Water Tank Ceramic Soleplate Powerful Steam WARRANTY: A prominent 2 YEARS WARRANTY shield badge. IDEAL FOR / WHY CHOOSE IT: Minimalist icons for Home Use, Travel, Small Spaces Bullet points: Lightweight Easy to Use Fast Heating Safe Metadata Text Line: Total Duration: 30 Seconds Format: Vertical (9:16) Style: POV Hand, ASMR, Premium Product Commercial Typography should resemble a professional creative agency storyboard layout featuring neat spacing, sharp dark blue accents, thin gray grid boundaries, and a highly polished presentation structure perfect for a client pitch.

Shore Lyn

22,382 просмотров • 2 дней назад

一番最後の[Prompt for original image]の部分に画像生成に使用したPromptを入れると一貫性が増します。不要な場合は3行削ってしまっても大丈夫です。 --- Extreme wide-angle perspective and dynamic pose remix edit. This is an EDIT of the original image, not a new character. Use the original image as a strict reference for: – the person’s identity, hairstyle, and overall fashion style, – the general type of background and location (same street, same room, same beach, same kind of architecture, etc.). You are allowed to completely change the camera position, angle, and pose, but you must keep the scene in the SAME location and keep the SAME person and outfit design. Camera and perspective: – Use an ultra wide-angle or fisheye feeling lens (around 12–18mm full-frame look). – The camera angle MUST change significantly from the original: use dramatic angles such as • worm’s-eye view from directly below looking up, • bird’s-eye view from directly above looking down, • very low angle from the ground, • high angle from above, • tilted Dutch angles. – Always create strong foreshortening: body parts close to the lens look huge, while the rest of the body falls away in perspective. – The final result must look like a bold fashion or street photo, fully photorealistic, not illustration or anime. Background consistency: – Keep the same location as the original image: same street, same bridge, same room, same studio, same beach, same general structures and materials. – Do NOT replace the background with a completely different place. – Because the camera angle changes, it is allowed and expected that different parts of the environment become visible. – When new areas appear, extend the original environment logically (same buildings, fences, road markings, walls, colors, materials, lighting style), as if the camera moved within the same place. Body parts near the lens (1–2 parts, sometimes 3): – In each edit, choose ONE or TWO main body parts to be extremely close to the lens (sometimes even THREE in more complex poses). – Vary them from image to image, do NOT always use the same body part. – Allowed near-the-lens parts include: • one or both hands / fingers reaching toward the camera, • one or both feet / shoes / boots near the lens, • knees or thighs, • face very close to the lens, • shoulders or chest close to the lens in a leaning pose. – The chosen body parts should come extremely close to the lens, almost touching it, with visible skin texture, fabric texture, and realistic wide-angle distortion. Pose and overall body (complex and varied): – Create strong, cool, dynamic poses that match the extreme perspective. – Randomly use different pose types, including: • standing with one leg or one arm reaching toward the camera, • crouching or squatting low to the ground, • sitting on the floor or on objects, • lying on the ground with legs or feet toward the lens, • leaning forward aggressively toward the camera, • twisting the body, crossing legs, or arching the back for more dynamic lines. – Allow complex poses where: • both hands are near the lens forming shapes (peace signs, triangles, frames, pointing toward the viewer), • both feet are toward the lens, • one hand and one foot are both large in the foreground, • the face is close to the lens while hands or feet are also visible in perspective. – Maintain believable anatomy even with extreme foreshortening. Angle and attitude (randomized): – Randomize camera angle and orientation (up, down, side, Dutch tilt) while keeping the composition visually balanced and powerful. – Keep the vibe cool, confident, and fashion/editorial or street style, depending on the original outfit. – Facial expressions can vary (serious, playful, confident, mysterious), but must still look like the same person. Lighting and rendering: – Keep the general time of day and lighting mood similar to the original (night vs day, indoor vs outdoor, soft vs hard light), but you may enhance contrast and color to make the image punchy and dramatic. – Maintain realistic shadows and contact points with the ground or floor. – High-resolution, sharp details with clear skin texture, fabric weave, and material highlights. Variation and randomness: – Each edit should look noticeably different from the original image and from other edits, with different: • camera angles, • pose types, • which body parts are closest to the lens, • orientation (straight, tilted, from above, from below). – Avoid repeating the exact same single-foot-close-up composition; produce a wide variety of dynamic poses and angles. Strict rules: – Do NOT change the person into someone else. – Do NOT change the outfit type; only restyle it through pose, perspective, and small natural movement of clothing. – Do NOT move the scene to a completely different location; always stay in a plausible extension of the original place. – Do NOT add text, logos, watermarks, or graphic design elements. – Do NOT switch to painting, illustration, or anime style; keep it photorealistic. Overall: Transform the original photo into a dramatic, photorealistic, ultra wide-angle shot with an extreme camera angle (including views from directly below or above), where one or more body parts are right next to the lens and look huge, the rest of the body recedes in perspective, and the same person strikes a stylish, complex, powerful pose in a consistent, expanded version of the original environment. Also, below is the prompt for generating the original image. Please use it as a reference. [Prompt for original image] #nanobanana2
0:20

一番最後の[Prompt for original image]の部分に画像生成に使用したPromptを入れると一貫性が増します。不要な場合は3行削ってしまっても大丈夫です。 --- Extreme wide-angle perspective and dynamic pose remix edit. This is an EDIT of the original image, not a new character. Use the original image as a strict reference for: – the person’s identity, hairstyle, and overall fashion style, – the general type of background and location (same street, same room, same beach, same kind of architecture, etc.). You are allowed to completely change the camera position, angle, and pose, but you must keep the scene in the SAME location and keep the SAME person and outfit design. Camera and perspective: – Use an ultra wide-angle or fisheye feeling lens (around 12–18mm full-frame look). – The camera angle MUST change significantly from the original: use dramatic angles such as • worm’s-eye view from directly below looking up, • bird’s-eye view from directly above looking down, • very low angle from the ground, • high angle from above, • tilted Dutch angles. – Always create strong foreshortening: body parts close to the lens look huge, while the rest of the body falls away in perspective. – The final result must look like a bold fashion or street photo, fully photorealistic, not illustration or anime. Background consistency: – Keep the same location as the original image: same street, same bridge, same room, same studio, same beach, same general structures and materials. – Do NOT replace the background with a completely different place. – Because the camera angle changes, it is allowed and expected that different parts of the environment become visible. – When new areas appear, extend the original environment logically (same buildings, fences, road markings, walls, colors, materials, lighting style), as if the camera moved within the same place. Body parts near the lens (1–2 parts, sometimes 3): – In each edit, choose ONE or TWO main body parts to be extremely close to the lens (sometimes even THREE in more complex poses). – Vary them from image to image, do NOT always use the same body part. – Allowed near-the-lens parts include: • one or both hands / fingers reaching toward the camera, • one or both feet / shoes / boots near the lens, • knees or thighs, • face very close to the lens, • shoulders or chest close to the lens in a leaning pose. – The chosen body parts should come extremely close to the lens, almost touching it, with visible skin texture, fabric texture, and realistic wide-angle distortion. Pose and overall body (complex and varied): – Create strong, cool, dynamic poses that match the extreme perspective. – Randomly use different pose types, including: • standing with one leg or one arm reaching toward the camera, • crouching or squatting low to the ground, • sitting on the floor or on objects, • lying on the ground with legs or feet toward the lens, • leaning forward aggressively toward the camera, • twisting the body, crossing legs, or arching the back for more dynamic lines. – Allow complex poses where: • both hands are near the lens forming shapes (peace signs, triangles, frames, pointing toward the viewer), • both feet are toward the lens, • one hand and one foot are both large in the foreground, • the face is close to the lens while hands or feet are also visible in perspective. – Maintain believable anatomy even with extreme foreshortening. Angle and attitude (randomized): – Randomize camera angle and orientation (up, down, side, Dutch tilt) while keeping the composition visually balanced and powerful. – Keep the vibe cool, confident, and fashion/editorial or street style, depending on the original outfit. – Facial expressions can vary (serious, playful, confident, mysterious), but must still look like the same person. Lighting and rendering: – Keep the general time of day and lighting mood similar to the original (night vs day, indoor vs outdoor, soft vs hard light), but you may enhance contrast and color to make the image punchy and dramatic. – Maintain realistic shadows and contact points with the ground or floor. – High-resolution, sharp details with clear skin texture, fabric weave, and material highlights. Variation and randomness: – Each edit should look noticeably different from the original image and from other edits, with different: • camera angles, • pose types, • which body parts are closest to the lens, • orientation (straight, tilted, from above, from below). – Avoid repeating the exact same single-foot-close-up composition; produce a wide variety of dynamic poses and angles. Strict rules: – Do NOT change the person into someone else. – Do NOT change the outfit type; only restyle it through pose, perspective, and small natural movement of clothing. – Do NOT move the scene to a completely different location; always stay in a plausible extension of the original place. – Do NOT add text, logos, watermarks, or graphic design elements. – Do NOT switch to painting, illustration, or anime style; keep it photorealistic. Overall: Transform the original photo into a dramatic, photorealistic, ultra wide-angle shot with an extreme camera angle (including views from directly below or above), where one or more body parts are right next to the lens and look huge, the rest of the body recedes in perspective, and the same person strikes a stylish, complex, powerful pose in a consistent, expanded version of the original environment. Also, below is the prompt for generating the original image. Please use it as a reference. [Prompt for original image] #nanobanana2

AI Girl's Photo Studio

20,684 просмотров • 7 месяцев назад

Wow Sora is so amazing, I wanted to really push it to the limits and see how it would handle a very complex prompt: “A 45-45-90 right triangle divides in half within itself repeatedly to create an organized fractal structure with self similarity, increasing in size from small at the top left to large at the bottom right, the whole structure is gradually growing from the top left point as the origin to create a seamless loop over 8 seconds, the individual triangles form platforms like a staircase descending downwards and have small rounded corners, as they move towards the bottom of the screen they each divide in half and one half moves downwards slightly to create another step and then the halves should divide in half again and one moves downwards to create one more step, after the second division curved cut-outs inside the triangles emerge upwards in a mechanical motion to form a continuous winding curved path towards the top of the structure, the edges of the path cutouts should be visible in the floor before they emerge so the viewer can anticipate the path being formed, after the path pieces move into place three Adélie penguins hop upwards along the path chasing a bright turquoise butterfly, the penguins should be hopping like the penguins in the following videos [ and should be progressing up the path while staying visually centered onscreen, the animation of the triangle platforms dividing and path forming and penguins hopping should be visually clear from top to bottom and arranged in such a way that you can look anywhere in the image to focus on a certain part of the story yet also be able to follow along from top to bottom to watch how the story unfolds throughout the image, the platforms should all be made of an elegant slightly reflective light wooden floor and white walls like a contemporary art museum, as each path segment moves upwards into place it is revealed that it is built on reflective chrome columns, lighting in the room is dark except for a single spotlight following the penguins and thin neon tube lighting around the edge of each triangle platform placed just below the floor level so that when the platforms divide and descend it reveals the neon light from the platform behind it which lights up the edges of the newly formed triangles and makes their form clear to the viewer's eye, some more neon lights inside the edge of the gap left by the path segments rising to form the path, the large dark triangle that makes up the upper right corner should be divided repeatedly by subtly glowing lines in a similar structure to the main layout but moving in the opposite direction as if to suggest that the 45-45-90 triangle on which the whole structure is based is being gradually disintegrated over time into a series of smaller identical triangles and emotionally relatable architecture as a frame for the penguins at the center to make them seem like the protagonist of the piece even though the true protagonist is the triangle itself, in the style of shapiro500, isometric 3d, beautiful lighting, best quality, masterpiece, hyperdetailed 4k, octane render” but I don't have Sora access so I made it by hand with Cinema 4D instead
0:24

Wow Sora is so amazing, I wanted to really push it to the limits and see how it would handle a very complex prompt: “A 45-45-90 right triangle divides in half within itself repeatedly to create an organized fractal structure with self similarity, increasing in size from small at the top left to large at the bottom right, the whole structure is gradually growing from the top left point as the origin to create a seamless loop over 8 seconds, the individual triangles form platforms like a staircase descending downwards and have small rounded corners, as they move towards the bottom of the screen they each divide in half and one half moves downwards slightly to create another step and then the halves should divide in half again and one moves downwards to create one more step, after the second division curved cut-outs inside the triangles emerge upwards in a mechanical motion to form a continuous winding curved path towards the top of the structure, the edges of the path cutouts should be visible in the floor before they emerge so the viewer can anticipate the path being formed, after the path pieces move into place three Adélie penguins hop upwards along the path chasing a bright turquoise butterfly, the penguins should be hopping like the penguins in the following videos [ and should be progressing up the path while staying visually centered onscreen, the animation of the triangle platforms dividing and path forming and penguins hopping should be visually clear from top to bottom and arranged in such a way that you can look anywhere in the image to focus on a certain part of the story yet also be able to follow along from top to bottom to watch how the story unfolds throughout the image, the platforms should all be made of an elegant slightly reflective light wooden floor and white walls like a contemporary art museum, as each path segment moves upwards into place it is revealed that it is built on reflective chrome columns, lighting in the room is dark except for a single spotlight following the penguins and thin neon tube lighting around the edge of each triangle platform placed just below the floor level so that when the platforms divide and descend it reveals the neon light from the platform behind it which lights up the edges of the newly formed triangles and makes their form clear to the viewer's eye, some more neon lights inside the edge of the gap left by the path segments rising to form the path, the large dark triangle that makes up the upper right corner should be divided repeatedly by subtly glowing lines in a similar structure to the main layout but moving in the opposite direction as if to suggest that the 45-45-90 triangle on which the whole structure is based is being gradually disintegrated over time into a series of smaller identical triangles and emotionally relatable architecture as a frame for the penguins at the center to make them seem like the protagonist of the piece even though the true protagonist is the triangle itself, in the style of shapiro500, isometric 3d, beautiful lighting, best quality, masterpiece, hyperdetailed 4k, octane render” but I don't have Sora access so I made it by hand with Cinema 4D instead

Gavin Shapiro 🐧

176,839 просмотров • 2 лет назад

Most of my video work is heavily rely on character sheets. Originally my character sheets were pretty simple, just 3 views made in Nano Banana. But I wanted something neater that actually feels like a proper production character sheet. So here's how I do it now in LovartAI Step 1: Create the base image of your character in Nano Banana. It can be anything. I just describe mine conversationally, something like "create a Thai high school student." That's enough to get started. Step 2: Once you have the base image, feed it into the template below. I run this in GPT o2 Image because the detail output is really good. And that's genuinely it. The template below is fully adjustable. Make it yours. And please note that everything happens conversationally with LovartAI which the best part 😉 + + + Prompt Example: [STYLE]: cinematic realism, Wong Kar-Wai atmosphere, high contrast, film grain, warm humid haze, 35mm anamorphic feel [LAYOUT]: single unified MASTER CHARACTER REFERENCE SHEET, two-page-spread feel, neutral off-white background, sections clearly separated with bold headers [CHARACTER]: - Name: Mira - Alias / role: The Woman - Age descriptor: young adult - Build: slender, natural proportions - Face: warm brown skin, natural beauty, no makeup, subtle imperfections, sweat sheen, half-lidded eyes, slightly parted lips - Hair: messy ponytail, tortoiseshell claw clip - Wardrobe: faded sage-green T-shirt, clinging, damp at collarbone, casual shorts - Props: none - Distinguishing features: sweat on temples and neck, natural skin texture - Personality (drives micro-expressions): intensely seductive, confident, teasing, deliberate [LEFT PAGE]: [SECTION 1 — TITLE + INFO BLOCK, top-left]: large character name header + 6 short stat lines (Name / Alias / Height / Build / Role / Archetype). Sans-serif, each line under 20 words. [SECTION 2 — MAIN IDENTITY + SCALE, dominant left column]: full-body front view, neutral pose, even lighting. THIS PANEL DOMINATES. [SECTION 3 — VIEWS, top-right]: 3/4 angle and full side view, two figures side by side, identical outfit/lighting [SECTION 4 — WARDROBE & ACCESSORIES, mid-left]: each item on flat surface with short label [SECTION 5 — COLOR PALETTE, bottom-left]: 6 horizontal swatches — skin / hair / shirt / shorts / clip / accent — each with short label [RIGHT PAGE]: [SECTION 6 — EXPRESSION PROGRESSION, top row]: 8 head shots — neutral / warm smile / laugh / sad / angry / surprised / determined / vulnerable. Single-word emotion tags. [SECTION 7 — MICRO EXPRESSIONS, second row]: 5 head shots showing subtle muscle changes — slight eye tension / jaw clench / subtle brow tightening / lower eyelid tension / lip compression [SECTION 8 — HEAD DETAIL, third row left]: one large close-up, chest up. Most detailed shot. [SECTION 9 — POSTURE VARIATIONS, third row right]: 4 small full-body in characteristic postures — standing relaxed, seated alert, mid-action, walking with intent [SECTION 10 — NOTES PANEL, fourth row left]: short text block (max 3 lines, each under 20 words) describing behavior [SECTION 11 — HAND GESTURES, fourth row center]: 3 close-ups of hands in characteristic poses [SECTION 12 — SILHOUETTE GUIDE, fourth row right]: 2 black silhouettes side by side — NEUTRAL and ACTION, pure black on white [CONSTRAINTS]: same character, face, outfit pieces, proportions across all sections. MAIN IDENTITY + SCALE must dominate. Final image should look like a premium production visual bible matching the selected style. [CONSTRAINTS]: no watermark, no extra unspecified text, natural realistic body proportions, identical body shape across all panels.
0:28

Most of my video work is heavily rely on character sheets. Originally my character sheets were pretty simple, just 3 views made in Nano Banana. But I wanted something neater that actually feels like a proper production character sheet. So here's how I do it now in LovartAI Step 1: Create the base image of your character in Nano Banana. It can be anything. I just describe mine conversationally, something like "create a Thai high school student." That's enough to get started. Step 2: Once you have the base image, feed it into the template below. I run this in GPT o2 Image because the detail output is really good. And that's genuinely it. The template below is fully adjustable. Make it yours. And please note that everything happens conversationally with LovartAI which the best part 😉 + + + Prompt Example: [STYLE]: cinematic realism, Wong Kar-Wai atmosphere, high contrast, film grain, warm humid haze, 35mm anamorphic feel [LAYOUT]: single unified MASTER CHARACTER REFERENCE SHEET, two-page-spread feel, neutral off-white background, sections clearly separated with bold headers [CHARACTER]: - Name: Mira - Alias / role: The Woman - Age descriptor: young adult - Build: slender, natural proportions - Face: warm brown skin, natural beauty, no makeup, subtle imperfections, sweat sheen, half-lidded eyes, slightly parted lips - Hair: messy ponytail, tortoiseshell claw clip - Wardrobe: faded sage-green T-shirt, clinging, damp at collarbone, casual shorts - Props: none - Distinguishing features: sweat on temples and neck, natural skin texture - Personality (drives micro-expressions): intensely seductive, confident, teasing, deliberate [LEFT PAGE]: [SECTION 1 — TITLE + INFO BLOCK, top-left]: large character name header + 6 short stat lines (Name / Alias / Height / Build / Role / Archetype). Sans-serif, each line under 20 words. [SECTION 2 — MAIN IDENTITY + SCALE, dominant left column]: full-body front view, neutral pose, even lighting. THIS PANEL DOMINATES. [SECTION 3 — VIEWS, top-right]: 3/4 angle and full side view, two figures side by side, identical outfit/lighting [SECTION 4 — WARDROBE & ACCESSORIES, mid-left]: each item on flat surface with short label [SECTION 5 — COLOR PALETTE, bottom-left]: 6 horizontal swatches — skin / hair / shirt / shorts / clip / accent — each with short label [RIGHT PAGE]: [SECTION 6 — EXPRESSION PROGRESSION, top row]: 8 head shots — neutral / warm smile / laugh / sad / angry / surprised / determined / vulnerable. Single-word emotion tags. [SECTION 7 — MICRO EXPRESSIONS, second row]: 5 head shots showing subtle muscle changes — slight eye tension / jaw clench / subtle brow tightening / lower eyelid tension / lip compression [SECTION 8 — HEAD DETAIL, third row left]: one large close-up, chest up. Most detailed shot. [SECTION 9 — POSTURE VARIATIONS, third row right]: 4 small full-body in characteristic postures — standing relaxed, seated alert, mid-action, walking with intent [SECTION 10 — NOTES PANEL, fourth row left]: short text block (max 3 lines, each under 20 words) describing behavior [SECTION 11 — HAND GESTURES, fourth row center]: 3 close-ups of hands in characteristic poses [SECTION 12 — SILHOUETTE GUIDE, fourth row right]: 2 black silhouettes side by side — NEUTRAL and ACTION, pure black on white [CONSTRAINTS]: same character, face, outfit pieces, proportions across all sections. MAIN IDENTITY + SCALE must dominate. Final image should look like a premium production visual bible matching the selected style. [CONSTRAINTS]: no watermark, no extra unspecified text, natural realistic body proportions, identical body shape across all panels.

DAN · MXVDXN

30,013 просмотров • 1 месяц назад

I vibe coded and built a sprite animation pipeline 🛠️ (Day 22 of making the engine+game) ⬇️ Watch the video if you don't wanna read the wall of text - it directly shows what I do. Shoutout to Jidé ✨ for showing me a paper on black/white combination to get alpha, it's the cleanest method yet, and to Cursor for enabling this entire journey. If you prefer the wall of text here you go: The hardest part of using general image models for 2D sprites isn’t getting a nice-looking frame, it’s getting consistent motion across a whole sprite sheet. You can fake a sheet, but frames won’t align, timing drifts, and you end up with weird artifacts. Even if you manually cut frames + interpolate, the animation often looks “off” because each frame is basically a new interpretation, not the same character evolving over time. This is especially noticeable with public API models like gpt-image-1.5 and Nano Banana. Some custom LoRAs for open models exist, but this is intended for less techy folks. My workaround: use a video model first, then post-process into a sprite sheet. Render the animation over a solid background (white/black/magenta/green), then chroma-key it out (my engine tool supports this). If the motion stays inside the silhouette, this works surprisingly well. You can do this in almost any video editing software too! The catch: keying almost always leaves an “aura” (edge spill). My best results come from interpolating the keyed animation with a clean base sprite, so you keep crisp edges and only “borrow” motion/detail where needed. If the animation extends outside the silhouette (tree branches, hair wisps, foliage), I usually skip “true sprite animation” and do it with shaders instead. Keying can’t fully remove halos there, no matter how much feathering/tuning you do. Another annoying issue: pixel corruption. AI rarely generates a perfectly flat background (pure #000000 or #FF00FF). That tiny noise breaks clean extraction and creates crawling garbage pixels around the subject. For clean base sprites (and even PBR maps), a useful trick is generating the same asset on white + black backgrounds and deriving alpha from the difference. This is basically a matte workflow: white = opaque, black = transparent. It fixes aura… but you’d need it per-frame to fix animation, which is still hard. For simple pixel art (single-digit frames), you can sometimes generate a sprite sheet, then ask the model to recreate it on black/white while preserving alignment… but it’s still manual-heavy. Honestly, at this point, for some projects it’s easier to go 3D → 2D and render clean sprites/maps directly. But I still love pushing “pure 2D” and seeing how far we can take it. Thanks for reading! Follow/bookmark/repost if interested in this kind of content!
3:33

I vibe coded and built a sprite animation pipeline 🛠️ (Day 22 of making the engine+game) ⬇️ Watch the video if you don't wanna read the wall of text - it directly shows what I do. Shoutout to Jidé ✨ for showing me a paper on black/white combination to get alpha, it's the cleanest method yet, and to Cursor for enabling this entire journey. If you prefer the wall of text here you go: The hardest part of using general image models for 2D sprites isn’t getting a nice-looking frame, it’s getting consistent motion across a whole sprite sheet. You can fake a sheet, but frames won’t align, timing drifts, and you end up with weird artifacts. Even if you manually cut frames + interpolate, the animation often looks “off” because each frame is basically a new interpretation, not the same character evolving over time. This is especially noticeable with public API models like gpt-image-1.5 and Nano Banana. Some custom LoRAs for open models exist, but this is intended for less techy folks. My workaround: use a video model first, then post-process into a sprite sheet. Render the animation over a solid background (white/black/magenta/green), then chroma-key it out (my engine tool supports this). If the motion stays inside the silhouette, this works surprisingly well. You can do this in almost any video editing software too! The catch: keying almost always leaves an “aura” (edge spill). My best results come from interpolating the keyed animation with a clean base sprite, so you keep crisp edges and only “borrow” motion/detail where needed. If the animation extends outside the silhouette (tree branches, hair wisps, foliage), I usually skip “true sprite animation” and do it with shaders instead. Keying can’t fully remove halos there, no matter how much feathering/tuning you do. Another annoying issue: pixel corruption. AI rarely generates a perfectly flat background (pure #000000 or #FF00FF). That tiny noise breaks clean extraction and creates crawling garbage pixels around the subject. For clean base sprites (and even PBR maps), a useful trick is generating the same asset on white + black backgrounds and deriving alpha from the difference. This is basically a matte workflow: white = opaque, black = transparent. It fixes aura… but you’d need it per-frame to fix animation, which is still hard. For simple pixel art (single-digit frames), you can sometimes generate a sprite sheet, then ask the model to recreate it on black/white while preserving alignment… but it’s still manual-heavy. Honestly, at this point, for some projects it’s easier to go 3D → 2D and render clean sprites/maps directly. But I still love pushing “pure 2D” and seeing how far we can take it. Thanks for reading! Follow/bookmark/repost if interested in this kind of content!

Startracker 🔺

20,181 просмотров • 5 месяцев назад

What you’re seeing in this video is something no other smartphone can currently replicate besides Samsung, including the iPhone. Samsung Galaxy S26 Ultra, 4K 60fps HDR, fully handheld, with a smooth zoom transition from 1x to 2.9x. This is probably the closest thing to a professional camcorder-style zoom system on a smartphone today. Even the iPhone struggles to achieve this level of ultra slow, precise, and stable zoom movement. Most smartphones still rely on your finger movement to control zoom speed. The moment your finger slightly shifts, the zoom speed changes as well. Samsung’s approach is different. You simply hold your finger at a fixed position, and the phone continues zooming at a perfectly constant speed. It can move incredibly slowly, creating a much more linear and stable transition. The underlying logic is actually related to Samsung’s AI slow-motion technology. The core idea is real-time control over motion trajectory, speed variation, and frame-to-frame transition consistency. This is far beyond simply enlarging the image. The goal is to make the zoom feel continuous, smooth, and controllable throughout the entire movement. Right now, the only thing slightly interrupting the experience is the 3x telephoto switching point. When moving from 1x toward 5x, the lens transition breaks part of that seamless feeling. If the Galaxy S27 Ultra eventually removes the 3x telephoto camera, Samsung could potentially deliver a fully continuous and ultra smooth zoom transition from 1x all the way to 5x. For casual users, it may simply look “smoother.” For video creators, this is the kind of detail that creates a truly professional shooting experience.
0:32

What you’re seeing in this video is something no other smartphone can currently replicate besides Samsung, including the iPhone. Samsung Galaxy S26 Ultra, 4K 60fps HDR, fully handheld, with a smooth zoom transition from 1x to 2.9x. This is probably the closest thing to a professional camcorder-style zoom system on a smartphone today. Even the iPhone struggles to achieve this level of ultra slow, precise, and stable zoom movement. Most smartphones still rely on your finger movement to control zoom speed. The moment your finger slightly shifts, the zoom speed changes as well. Samsung’s approach is different. You simply hold your finger at a fixed position, and the phone continues zooming at a perfectly constant speed. It can move incredibly slowly, creating a much more linear and stable transition. The underlying logic is actually related to Samsung’s AI slow-motion technology. The core idea is real-time control over motion trajectory, speed variation, and frame-to-frame transition consistency. This is far beyond simply enlarging the image. The goal is to make the zoom feel continuous, smooth, and controllable throughout the entire movement. Right now, the only thing slightly interrupting the experience is the 3x telephoto switching point. When moving from 1x toward 5x, the lens transition breaks part of that seamless feeling. If the Galaxy S27 Ultra eventually removes the 3x telephoto camera, Samsung could potentially deliver a fully continuous and ultra smooth zoom transition from 1x all the way to 5x. For casual users, it may simply look “smoother.” For video creators, this is the kind of detail that creates a truly professional shooting experience.

Ice Universe

49,138 просмотров • 2 месяцев назад

Crafted with GPT image 2 + Gemini Omni/ Seedance 2.0 Prompt: Create a clean, premium storyboard infographic for a product ASMR unboxing video. Design specifications: White background with a modern, minimalist layout. Title at the top: STORYBOARD Product name in bold green (replace with: [PRODUCT NAME]) Subtitle: ASMR UNBOXING Include four information boxes below the title: Duration: 30 Seconds Style: POV Hands, ASMR Audience: 18–35 years old Audio Suggestion: Soft ASMR • Crinkles • Tapping • Pouring Create 12 storyboard panels arranged in a 3-column × 4-row grid. Each panel should contain: A numbered green badge (1–12) Timestamp (0–2.5s, 2.5–5s, etc.) A realistic cinematic image showing the scene Handwritten white doodle text like: TA-DA! POP! WOW! PICK! CRINKLE~ TEAR! POUR~ HOT WATER STIR~ SMOOTH! BEST! Three text sections below every image: VISUAL: ACTION: DIALOGUE: Use realistic product photography, warm wooden table, soft natural lighting, shallow depth of field, POV hands only (no face visible), premium commercial advertising style. Storyboard sequence: 1 (0–2.5s) Visual: Product box on wooden table. Action: Hands enter frame and point to the box. Dialogue: "Have you tried this before?" 2 (2.5–5s) Visual: Opening the box. Action: Lift the top flap slowly. Dialogue: "Let's unbox it together." 3 (5–7.5s) Visual: Multiple individual sachets neatly arranged. Action: Fully reveal the inside. Dialogue: "Wow, look how many!" 4 (7.5–10s) Visual: Pick up one sachet. Action: Remove a single stick pack. Dialogue: "Let's start with one." 5 (10–12.5s) Visual: Close-up of sachet. Action: Hold and gently crinkle it. Dialogue: "That crinkle sound is satisfying." 6 (12.5–15s) Visual: Tear open the top. Action: Slow ASMR tearing. Dialogue: "Just a small tear." 7 (15–17.5s) Visual: Powder visible inside. Action: Show the powder close-up. Dialogue: "Looks delicious." 8 (17.5–20s) Visual: Pour powder into mug. Action: Slow pouring. Dialogue: "Pour everything in." 9 (20–22.5s) Visual: Hot water being poured. Action: Steam visible. Dialogue: "Add hot water." 10 (22.5–25s) Visual: Stir drink. Action: Slow circular stirring. Dialogue: "Mix it well." 11 (25–27.5s) Visual: Finished drink. Action: Show creamy texture from above. Dialogue: "Looks smooth and creamy." 12 (27.5–30s) Visual: Product box beside finished drink with thumbs up. Action: Hand gives thumbs up. Dialogue: "Easy, delicious, and ready!" Footer: Total Duration: 30 Seconds Format: Vertical (9:16) Style: POV Hands, ASMR Unboxing Typography should resemble a professional creative agency storyboard, with clean spacing, green accents, rounded panel borders, and high-end presentation suitable for client pitches.
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Crafted with GPT image 2 + Gemini Omni/ Seedance 2.0 Prompt: Create a clean, premium storyboard infographic for a product ASMR unboxing video. Design specifications: White background with a modern, minimalist layout. Title at the top: STORYBOARD Product name in bold green (replace with: [PRODUCT NAME]) Subtitle: ASMR UNBOXING Include four information boxes below the title: Duration: 30 Seconds Style: POV Hands, ASMR Audience: 18–35 years old Audio Suggestion: Soft ASMR • Crinkles • Tapping • Pouring Create 12 storyboard panels arranged in a 3-column × 4-row grid. Each panel should contain: A numbered green badge (1–12) Timestamp (0–2.5s, 2.5–5s, etc.) A realistic cinematic image showing the scene Handwritten white doodle text like: TA-DA! POP! WOW! PICK! CRINKLE~ TEAR! POUR~ HOT WATER STIR~ SMOOTH! BEST! Three text sections below every image: VISUAL: ACTION: DIALOGUE: Use realistic product photography, warm wooden table, soft natural lighting, shallow depth of field, POV hands only (no face visible), premium commercial advertising style. Storyboard sequence: 1 (0–2.5s) Visual: Product box on wooden table. Action: Hands enter frame and point to the box. Dialogue: "Have you tried this before?" 2 (2.5–5s) Visual: Opening the box. Action: Lift the top flap slowly. Dialogue: "Let's unbox it together." 3 (5–7.5s) Visual: Multiple individual sachets neatly arranged. Action: Fully reveal the inside. Dialogue: "Wow, look how many!" 4 (7.5–10s) Visual: Pick up one sachet. Action: Remove a single stick pack. Dialogue: "Let's start with one." 5 (10–12.5s) Visual: Close-up of sachet. Action: Hold and gently crinkle it. Dialogue: "That crinkle sound is satisfying." 6 (12.5–15s) Visual: Tear open the top. Action: Slow ASMR tearing. Dialogue: "Just a small tear." 7 (15–17.5s) Visual: Powder visible inside. Action: Show the powder close-up. Dialogue: "Looks delicious." 8 (17.5–20s) Visual: Pour powder into mug. Action: Slow pouring. Dialogue: "Pour everything in." 9 (20–22.5s) Visual: Hot water being poured. Action: Steam visible. Dialogue: "Add hot water." 10 (22.5–25s) Visual: Stir drink. Action: Slow circular stirring. Dialogue: "Mix it well." 11 (25–27.5s) Visual: Finished drink. Action: Show creamy texture from above. Dialogue: "Looks smooth and creamy." 12 (27.5–30s) Visual: Product box beside finished drink with thumbs up. Action: Hand gives thumbs up. Dialogue: "Easy, delicious, and ready!" Footer: Total Duration: 30 Seconds Format: Vertical (9:16) Style: POV Hands, ASMR Unboxing Typography should resemble a professional creative agency storyboard, with clean spacing, green accents, rounded panel borders, and high-end presentation suitable for client pitches.

Ciri

268,167 просмотров • 3 дней назад

if you want to create an AI channel with guaranteed views do this: this is the 2nd channel i see in less than a week that has done the same thing🚨 1. identify a channel that is already successful 2. take screenshots and send them to Gemini, 3. ask it “for a prompt that imitates that visual style” 4. use it every time you generate an image 5. Veo 3.1 or Kling 2.1/2.5 turbo for image to video 6. basic editing for example, this is the visual style i would use at Calliopelabs: { "channel_visual_style": { "aesthetic": "High-End 3D CGI Documentary", "tone": "Dark Tech, Investigative, Cinematic, Mystery", "render_style": "Octane Render, Ultra-realistic textures, 8k, Ray-tracing", "core_elements": { "characters": { "type": "Featureless Mannequins", "material": "Polished gray-white metal, smooth, reflective, seamless", "features": "No face, no eyes, no mouth, abstract representation of humans" }, "environment": { "style": "Minimalist 3D stages, clean abstract voids", "background": "Slightly blurred (Bokeh), uncluttered, focus on subject" }, "lighting": { "mood": "Cinematic & Dramatic", "palette": "Cool tones (Deep Blues, Cyans, Emerald Greens), Neon accents, High Contrast", "technique": "Volumetric lighting, Rim lights, Studio setup" }, "camera": { "style": "Macro photography feel, shallow depth of field, cinematic angles", "movement": "Slow, deliberate, floating, dolly-in" } } } } paste it into the Visual Style, create a template (voice over, music, effects etc..) and automate video the generation download the video and review it, create a thumbnail with Nano Banana Pro imitating that channel mercilessly - upload the video - get views - repeat until one channel explodes if you want me to better explain how to do this with my tool ask for it in a comment and i’ll write you ⬇️
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if you want to create an AI channel with guaranteed views do this: this is the 2nd channel i see in less than a week that has done the same thing🚨 1. identify a channel that is already successful 2. take screenshots and send them to Gemini, 3. ask it “for a prompt that imitates that visual style” 4. use it every time you generate an image 5. Veo 3.1 or Kling 2.1/2.5 turbo for image to video 6. basic editing for example, this is the visual style i would use at Calliopelabs: { "channel_visual_style": { "aesthetic": "High-End 3D CGI Documentary", "tone": "Dark Tech, Investigative, Cinematic, Mystery", "render_style": "Octane Render, Ultra-realistic textures, 8k, Ray-tracing", "core_elements": { "characters": { "type": "Featureless Mannequins", "material": "Polished gray-white metal, smooth, reflective, seamless", "features": "No face, no eyes, no mouth, abstract representation of humans" }, "environment": { "style": "Minimalist 3D stages, clean abstract voids", "background": "Slightly blurred (Bokeh), uncluttered, focus on subject" }, "lighting": { "mood": "Cinematic & Dramatic", "palette": "Cool tones (Deep Blues, Cyans, Emerald Greens), Neon accents, High Contrast", "technique": "Volumetric lighting, Rim lights, Studio setup" }, "camera": { "style": "Macro photography feel, shallow depth of field, cinematic angles", "movement": "Slow, deliberate, floating, dolly-in" } } } } paste it into the Visual Style, create a template (voice over, music, effects etc..) and automate video the generation download the video and review it, create a thumbnail with Nano Banana Pro imitating that channel mercilessly - upload the video - get views - repeat until one channel explodes if you want me to better explain how to do this with my tool ask for it in a comment and i’ll write you ⬇️

Sergio Gil

50,450 просмотров • 5 месяцев назад

Crafted with Seedance 2.0 + GPT Image 2/ Nano Banana Prompt: Create a professional advertising agency storyboard for a 30-second luxury ASMR unboxing commercial of a premium perfume called GATSBY WHITE UP. Use a clean white presentation board with a modern editorial layout, navy and black typography, thin gray dividers, and a premium pitch-deck aesthetic. Organize the storyboard into 12 numbered frames (3 rows × 4 columns) with timestamps, grouped into Part 1 (0–10s), Part 2 (10–20s), and Part 3 (20–30s). At the top include: Title: GATSBY WHITE UP – ASMR UNBOXING Storyboard: 30 Seconds (3 Parts) Four info cards with icons: Style: POV Hand, ASMR, Premium Luxury Commercial Audience: Male, 16–35 Voiceover: None (Pure ASMR) Audio: Tapping, Leather, Zipper, Glass, Spray, Ambient Each storyboard frame should feature: Premium product photo Frame number and timestamp Handwritten doodle text (e.g., "NEW!", "SOFT~", "ZIP...", "WOW!", "CLICK!", "PSSST", "FRESH", "LUXURY") Three short captions: Visual, Action, and Audio The sequence should show: 1. Case placed on table 2. Leather texture close-up 3. Zipper opening 4. Case reveal 5. Bottle removed 6. Bottle beauty shot 7. Cap removed 8. Spray nozzle pressed 9. Perfume mist 10. Bottle returned to case 11. Case zipped closed 12. Hero product shot with bottle and case At the bottom, add four infographic sections: Product Key Features (reusable vegan leather case, premium zipper, refillable bottle) Includes (bottle, refill bottle, funnel) Perfect For (daily use, travel, work, gym, gifting) How to Refill (3 simple icon steps)
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Crafted with Seedance 2.0 + GPT Image 2/ Nano Banana Prompt: Create a professional advertising agency storyboard for a 30-second luxury ASMR unboxing commercial of a premium perfume called GATSBY WHITE UP. Use a clean white presentation board with a modern editorial layout, navy and black typography, thin gray dividers, and a premium pitch-deck aesthetic. Organize the storyboard into 12 numbered frames (3 rows × 4 columns) with timestamps, grouped into Part 1 (0–10s), Part 2 (10–20s), and Part 3 (20–30s). At the top include: Title: GATSBY WHITE UP – ASMR UNBOXING Storyboard: 30 Seconds (3 Parts) Four info cards with icons: Style: POV Hand, ASMR, Premium Luxury Commercial Audience: Male, 16–35 Voiceover: None (Pure ASMR) Audio: Tapping, Leather, Zipper, Glass, Spray, Ambient Each storyboard frame should feature: Premium product photo Frame number and timestamp Handwritten doodle text (e.g., "NEW!", "SOFT~", "ZIP...", "WOW!", "CLICK!", "PSSST", "FRESH", "LUXURY") Three short captions: Visual, Action, and Audio The sequence should show: 1. Case placed on table 2. Leather texture close-up 3. Zipper opening 4. Case reveal 5. Bottle removed 6. Bottle beauty shot 7. Cap removed 8. Spray nozzle pressed 9. Perfume mist 10. Bottle returned to case 11. Case zipped closed 12. Hero product shot with bottle and case At the bottom, add four infographic sections: Product Key Features (reusable vegan leather case, premium zipper, refillable bottle) Includes (bottle, refill bottle, funnel) Perfect For (daily use, travel, work, gym, gifting) How to Refill (3 simple icon steps)

Ciri

12,499 просмотров • 2 дней назад

Claude Code can ship a 45-second animated explainer ad in 30 minutes. No video editor needed, just CC + skills. Here's how I made this video for Soteri Skin 👇 1. /plan Concept Brief (Claude Code) I handwrite a concept brief, then chat with the agent to iterate on it. The agent gathers any raw materials we might need - context about the brand, product images, end card, etc. The concept brief details the concept, characters, visual style, script, etc 2. /prepare a moodboard (CC + GPT Image 2 + ElevenLabs) After reviewing the script, generate: - character reference images - voiceover samples for the characters / narrator - the storyboard (scene by scene grid) - a few keyframe scenes 3. /generate Keyframes for each scene (CC uses Nano Banana or GPT Image 2) Uses the character references from the previous step to generate keyframes for each scene. I probably should have done a round of iteration at this step – there's some character drift and the pH meter representation could have been better. 4. /animate Keyframe → Animated Clip (CC uses Fal Seedance) Generate 2-4 representative scenes first to see a preview. If it looks good, then generate everything. 5. /stitch (CC + ffmpeg + ElevenLabs) - Stitch clips together with hard cut - Add a music score + SFX - Sync clips to the VO - Add captions - Review and edit timing / pacing issues 6. /watch the final cut and review it - as a video editor for technical errors (mismatched voiceover and visuals, AI hallucinations, etc) - as a viewer (ICP). I delegate most of the review to the agent because it catches more things and keeps me out of the loop as much as possible. It also fixes any issues found in the review. That's it. This video took me 30 minutes because I have already created skills for everything I described above. Some day, this will be < 5 minutes. I just review and chat to provide direction and feedback. The skills do all the technical work. 7. /learn Extracts learnings and updates the skills. This final step is really important. It turns this process into a closed loop system that makes the next video much easier to create because all the learnings from the human-in-the-loop process get encoded into code. Skills are code too. If you want access to the skill, drop a comment, and I'll DM it to you (must be following). If you want to make AI video ads like this, DM me.
0:45

Claude Code can ship a 45-second animated explainer ad in 30 minutes. No video editor needed, just CC + skills. Here's how I made this video for Soteri Skin 👇 1. /plan Concept Brief (Claude Code) I handwrite a concept brief, then chat with the agent to iterate on it. The agent gathers any raw materials we might need - context about the brand, product images, end card, etc. The concept brief details the concept, characters, visual style, script, etc 2. /prepare a moodboard (CC + GPT Image 2 + ElevenLabs) After reviewing the script, generate: - character reference images - voiceover samples for the characters / narrator - the storyboard (scene by scene grid) - a few keyframe scenes 3. /generate Keyframes for each scene (CC uses Nano Banana or GPT Image 2) Uses the character references from the previous step to generate keyframes for each scene. I probably should have done a round of iteration at this step – there's some character drift and the pH meter representation could have been better. 4. /animate Keyframe → Animated Clip (CC uses Fal Seedance) Generate 2-4 representative scenes first to see a preview. If it looks good, then generate everything. 5. /stitch (CC + ffmpeg + ElevenLabs) - Stitch clips together with hard cut - Add a music score + SFX - Sync clips to the VO - Add captions - Review and edit timing / pacing issues 6. /watch the final cut and review it - as a video editor for technical errors (mismatched voiceover and visuals, AI hallucinations, etc) - as a viewer (ICP). I delegate most of the review to the agent because it catches more things and keeps me out of the loop as much as possible. It also fixes any issues found in the review. That's it. This video took me 30 minutes because I have already created skills for everything I described above. Some day, this will be < 5 minutes. I just review and chat to provide direction and feedback. The skills do all the technical work. 7. /learn Extracts learnings and updates the skills. This final step is really important. It turns this process into a closed loop system that makes the next video much easier to create because all the learnings from the human-in-the-loop process get encoded into code. Skills are code too. If you want access to the skill, drop a comment, and I'll DM it to you (must be following). If you want to make AI video ads like this, DM me.

Shiv

11,608 просмотров • 1 месяц назад

GPT image 2 for storyboard and Seedence 2.0 for video on OpenArt In a village consumed by fear hope arrived with a sword. Prompt: Create a cinematic anime short film in a unified Demon Slayer / Jujutsu Kaisen inspired art style — apply this exact same visual style consistently to ALL characters and scenes without exception. Character Design (maintain throughout ALL scenes): Hero: Young male swordsman, late teens, athletic build, dark hair, determined eyes, traditional Japanese warrior outfit, katana at waist Child: Small baby girl, 2–3 years old, round face, big innocent eyes, simple village dress, same anime art style as the hero — no style deviation Story Structure: Opening — Close-up on hero's face receiving urgent message. Camera: low angle looking up at hero. Dramatic lighting. Journey — Hero running through dense forest and rocky mountains. Camera: dynamic tracking shot from side, then bird's eye view. Motion blur on feet. Village in Crisis — Wide establishing shot of burning village. Cut to medium shot of terrified villagers. Camera slowly pushes in. Monster threatening child — Monster looms over baby girl. Camera: monster POV looking down at child, then child POV looking up at monster. High contrast lighting. Hero Arrival — Hero leaps into frame from above. Slow motion sword strike. Camera: 360-degree rotating shot around hero. Battle Sequence — Intense fight, multiple camera angles: close-up on clashing sword, wide shot of full battle, low angle hero power move. Fluid motion, no flickering. Resolution — Monster defeated. Hero kneels down to baby girl's level. Soft warm lighting. Camera: gentle zoom out showing hero and child together, villagers in background. Ending — Hero sheathes sword, walks away. Camera: back shot of hero walking into sunset, villagers watching. Visual Rules (strict): One unified anime art style across ALL shots — hero and baby girl must look like they belong in the same animation Camera angle must change every scene — no repeated angles No slideshow transitions — use cinematic cuts and motion Warm golden lighting for resolution, cool blue for battle Pippit watermark visible in final composition Style: Epic fantasy anime, Demon Slayer quality, emotional storytelling, professional cinematic pacing
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GPT image 2 for storyboard and Seedence 2.0 for video on OpenArt In a village consumed by fear hope arrived with a sword. Prompt: Create a cinematic anime short film in a unified Demon Slayer / Jujutsu Kaisen inspired art style — apply this exact same visual style consistently to ALL characters and scenes without exception. Character Design (maintain throughout ALL scenes): Hero: Young male swordsman, late teens, athletic build, dark hair, determined eyes, traditional Japanese warrior outfit, katana at waist Child: Small baby girl, 2–3 years old, round face, big innocent eyes, simple village dress, same anime art style as the hero — no style deviation Story Structure: Opening — Close-up on hero's face receiving urgent message. Camera: low angle looking up at hero. Dramatic lighting. Journey — Hero running through dense forest and rocky mountains. Camera: dynamic tracking shot from side, then bird's eye view. Motion blur on feet. Village in Crisis — Wide establishing shot of burning village. Cut to medium shot of terrified villagers. Camera slowly pushes in. Monster threatening child — Monster looms over baby girl. Camera: monster POV looking down at child, then child POV looking up at monster. High contrast lighting. Hero Arrival — Hero leaps into frame from above. Slow motion sword strike. Camera: 360-degree rotating shot around hero. Battle Sequence — Intense fight, multiple camera angles: close-up on clashing sword, wide shot of full battle, low angle hero power move. Fluid motion, no flickering. Resolution — Monster defeated. Hero kneels down to baby girl's level. Soft warm lighting. Camera: gentle zoom out showing hero and child together, villagers in background. Ending — Hero sheathes sword, walks away. Camera: back shot of hero walking into sunset, villagers watching. Visual Rules (strict): One unified anime art style across ALL shots — hero and baby girl must look like they belong in the same animation Camera angle must change every scene — no repeated angles No slideshow transitions — use cinematic cuts and motion Warm golden lighting for resolution, cool blue for battle Pippit watermark visible in final composition Style: Epic fantasy anime, Demon Slayer quality, emotional storytelling, professional cinematic pacing

𝗦𝗮𝗻𝗶𝗮

13,712 просмотров • 1 месяц назад

Honestly, I hate that I even have to say this, but seeing people use one single fancam to claim Sana “can’t dance” is genuinely ridiculous. Y’all, for everyone dragging Sana because of one video from the 73rd THIS IS FOR tour show, I think it’s important to look at the full context before judging her dancing ability. First of all, Sana had been dealing with a cold, flu, and cough for over a month at that point, which can definitely affect stamina and performance consistency during a 2–3 hour concert. There are also several factors that can make the dancing look less smooth in that particular fancam: 1. Outfit If you’ve watched other fancams from this black outfit era, Sana was adjusting her outfit quite often on stage because it seemed to shift, slip, or sit unevenly at times. An uncomfortable outfit can naturally affect movement and make a performer more cautious. 2. Camera tracking The camera appears to follow her movements slightly late. Even a small delay can make smooth transitions look jerky or abrupt when viewed on video. 3. Awkward zoom distance The fancam isn’t zoomed out enough to show the full choreography, but it’s also not close enough to focus on facial expressions. Because of that, viewers end up focusing mostly on body transitions and posture, which can make movements look harsher than they actually are. 4. Phone camera limitations High-energy movements recorded on a phone can suffer from motion blur, stabilization issues, and frame-rate limitations. Sharp movements that look clean in person can appear choppy or less fluid on video. 5.Stamina This was already the 73rd show of the tour. Performing the same demanding choreography for dozens of concerts while dealing with illness can affect anyone’s energy level. And if this one clip is enough to convince you that Sana “can’t dance,” then I encourage you to watch other performances of Right Hand Girl from different angles and different outfits. Looking at a performer’s overall body of work will always give a more accurate picture than judging them from a single fancam. One fancam does not erase years of consistently solid performances.
0:29

Honestly, I hate that I even have to say this, but seeing people use one single fancam to claim Sana “can’t dance” is genuinely ridiculous. Y’all, for everyone dragging Sana because of one video from the 73rd THIS IS FOR tour show, I think it’s important to look at the full context before judging her dancing ability. First of all, Sana had been dealing with a cold, flu, and cough for over a month at that point, which can definitely affect stamina and performance consistency during a 2–3 hour concert. There are also several factors that can make the dancing look less smooth in that particular fancam: 1. Outfit If you’ve watched other fancams from this black outfit era, Sana was adjusting her outfit quite often on stage because it seemed to shift, slip, or sit unevenly at times. An uncomfortable outfit can naturally affect movement and make a performer more cautious. 2. Camera tracking The camera appears to follow her movements slightly late. Even a small delay can make smooth transitions look jerky or abrupt when viewed on video. 3. Awkward zoom distance The fancam isn’t zoomed out enough to show the full choreography, but it’s also not close enough to focus on facial expressions. Because of that, viewers end up focusing mostly on body transitions and posture, which can make movements look harsher than they actually are. 4. Phone camera limitations High-energy movements recorded on a phone can suffer from motion blur, stabilization issues, and frame-rate limitations. Sharp movements that look clean in person can appear choppy or less fluid on video. 5.Stamina This was already the 73rd show of the tour. Performing the same demanding choreography for dozens of concerts while dealing with illness can affect anyone’s energy level. And if this one clip is enough to convince you that Sana “can’t dance,” then I encourage you to watch other performances of Right Hand Girl from different angles and different outfits. Looking at a performer’s overall body of work will always give a more accurate picture than judging them from a single fancam. One fancam does not erase years of consistently solid performances.

puteri🍉

38,216 просмотров • 1 месяц назад

Gemini 2.5 Flash demolishes my Galton Board test, I could not get 4omini, 4o mini high, or 03 to produce this. I found that Gemini 2.5 Flash understands my intents almost instantly, code produced is tight and neat. The prompt is a merging of various steps. It took me 5 steps to achieve this in Gemini 2.5 Flash, I gave up on OpenAI models after about half an hour. My iterations are obviously not exact. But people can test with this one prompt for more objective comparison. Please try this prompt on your end to confirm: -------------------------------------------------- Create a self-contained HTML file for a Galton board simulation using client-side JavaScript and a 2D physics engine (like Matter.js, included via CDN). The simulation should be rendered on an HTML5 canvas and meet the following criteria: 1. **Single File:** All necessary HTML, CSS, and JavaScript code must be within this single `.html` file. 2. **Canvas Size:** The overall simulation area (canvas) should be reasonably sized to fit on a standard screen without requiring extensive scrolling or zooming (e.g., around 500x700 pixels). 3. **Physics:** Utilize a 2D rigid body physics engine for realistic ball-peg and ball-wall interactions. 4. **Obstacles (Pegs):** Create static, circular pegs arranged in full-width horizontal rows extending across the usable width of the board (not just a triangle). The pegs should be small enough and spaced appropriately for balls to navigate and bounce between them. 5. **Containment:** * Include static, sufficiently thick side walls and a ground at the bottom to contain the balls within the board. * Implement *physical* static dividers between the collection bins at the bottom. These dividers must be thick enough to prevent balls from passing through them, ensuring accurate accumulation in each bin. 6. **Ball Dropping:** Balls should be dropped from a controlled, narrow area near the horizontal center at the top of the board to ensure they enter the peg field consistently. 7. **Bins:** The collection area at the bottom should be divided into distinct bins by the physical dividers. The height of the bins should be sufficient to clearly visualize the accumulation of balls. 8. **Visualization:** Use a high-contrast color scheme to clearly distinguish between elements. Specifically, use yellow for the structural elements (walls, top guides, physical bin dividers, ground), a contrasting color (like red) for the pegs, and a highly contrasting color (like dark grey or black) for the balls. 9. **Demonstration:** The simulation should visually demonstrate the formation of the normal (or binomial) distribution as multiple balls fall through the pegs and collect in the bins. Ensure the physics parameters (restitution, friction, density) and ball drop rate are tuned for a smooth and clear demonstration of the distribution. #OpenAI Sam Altman Greg Brockman AshutoshShrivastava Aidan McLaughlin
0:44

Gemini 2.5 Flash demolishes my Galton Board test, I could not get 4omini, 4o mini high, or 03 to produce this. I found that Gemini 2.5 Flash understands my intents almost instantly, code produced is tight and neat. The prompt is a merging of various steps. It took me 5 steps to achieve this in Gemini 2.5 Flash, I gave up on OpenAI models after about half an hour. My iterations are obviously not exact. But people can test with this one prompt for more objective comparison. Please try this prompt on your end to confirm: -------------------------------------------------- Create a self-contained HTML file for a Galton board simulation using client-side JavaScript and a 2D physics engine (like Matter.js, included via CDN). The simulation should be rendered on an HTML5 canvas and meet the following criteria: 1. **Single File:** All necessary HTML, CSS, and JavaScript code must be within this single `.html` file. 2. **Canvas Size:** The overall simulation area (canvas) should be reasonably sized to fit on a standard screen without requiring extensive scrolling or zooming (e.g., around 500x700 pixels). 3. **Physics:** Utilize a 2D rigid body physics engine for realistic ball-peg and ball-wall interactions. 4. **Obstacles (Pegs):** Create static, circular pegs arranged in full-width horizontal rows extending across the usable width of the board (not just a triangle). The pegs should be small enough and spaced appropriately for balls to navigate and bounce between them. 5. **Containment:** * Include static, sufficiently thick side walls and a ground at the bottom to contain the balls within the board. * Implement *physical* static dividers between the collection bins at the bottom. These dividers must be thick enough to prevent balls from passing through them, ensuring accurate accumulation in each bin. 6. **Ball Dropping:** Balls should be dropped from a controlled, narrow area near the horizontal center at the top of the board to ensure they enter the peg field consistently. 7. **Bins:** The collection area at the bottom should be divided into distinct bins by the physical dividers. The height of the bins should be sufficient to clearly visualize the accumulation of balls. 8. **Visualization:** Use a high-contrast color scheme to clearly distinguish between elements. Specifically, use yellow for the structural elements (walls, top guides, physical bin dividers, ground), a contrasting color (like red) for the pegs, and a highly contrasting color (like dark grey or black) for the balls. 9. **Demonstration:** The simulation should visually demonstrate the formation of the normal (or binomial) distribution as multiple balls fall through the pegs and collect in the bins. Ensure the physics parameters (restitution, friction, density) and ball drop rate are tuned for a smooth and clear demonstration of the distribution. #OpenAI Sam Altman Greg Brockman AshutoshShrivastava Aidan McLaughlin

RameshR

247,923 просмотров • 1 год назад