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Today's rigging tip: Use empty drive parameter to limit shoulder physics to achieve natural compatibility with extra arms poses #Live2D #VTubeStudio

maoxy🌸Live2D

1,187 subscribers

13,500 Aufrufe • vor 1 Monat •via X (Twitter)

#Live2D #VTubeStudio

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A rigging .cmo3 study file of this model's costume is available at my shop now! You can download it and study - 180° body angles - 2 sets of physics according to angles - Detailed layering and draw order to achieve a 3D-ish result #Live2D

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Normally, riggers try to avoid physics parameters hitting their limits during motion to prevent a jolting feel, but this characteristic can also be used intentionally to create movements that fit a retro electronic aesthetic. I also used blendshapes to control the visible range of different effects. Overall, this effect would be much easier to achieve with keyframe animation, but animation would never stop. What I found fun about rigging this part was actually achieving it through physics-driven behavior. #Live2D #Live2DWIP

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toma🍅 Live2D Artist| VGen Open

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Japanese accounts are using AI to generate images, portraying Chinese cyclists in Japan holding swans by their necks. Lo and behold, I went to Xiaohongshu to watch the original video, the cyclists were posing with empty air, and someone used AI to add the swans into their arms. Some Japanese would use every possible dirty tricks to lie about Chinese people visiting their country.

Japanese accounts are using AI to generate images, portraying Chinese cyclists in Japan holding swans by their necks. Lo and behold, I went to Xiaohongshu to watch the original video, the cyclists were posing with empty air, and someone used AI to add the swans into their arms. Some Japanese would use every possible dirty tricks to lie about Chinese people visiting their country.

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Modern robotic wrist joints often use timing belt differentials to achieve smooth, multi-axis movement within compact spaces. By distributing motion through synchronized belt systems, a single actuator can control multiple rotational outputs with high precision. This design reduces weight, minimizes backlash, and allows for more efficient force transmission compared to traditional gear-based systems. It is widely used in robotic arms where accuracy, responsiveness, and compactness are critical. The result is more natural, fluid motion-bringing robotic systems closer to human-like dexterity in industrial and automation applications.

Modern robotic wrist joints often use timing belt differentials to achieve smooth, multi-axis movement within compact spaces. By distributing motion through synchronized belt systems, a single actuator can control multiple rotational outputs with high precision. This design reduces weight, minimizes backlash, and allows for more efficient force transmission compared to traditional gear-based systems. It is widely used in robotic arms where accuracy, responsiveness, and compactness are critical. The result is more natural, fluid motion-bringing robotic systems closer to human-like dexterity in industrial and automation applications.

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𝗘𝗺𝗲𝗿𝗴𝗲𝗻𝗰𝘆 𝗰𝗼𝗺𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗼𝗽𝗲𝗻! I need to get my rent money in order after two commissioners canceled their orders. 💀 I have 24h time to get my rent money together. 😭 Live2D model for only 500 € I use paypal or kofi I have 3 slots limit for this and it's only for the next 24h: -Model is extra squishy -The Vtuber model comes with all the face and wiggle expressions you might need. -Rig and art -A toggle of choice for the expression. Any help is appreciated 🤍🤍🤍 Dm me if interested or any questions might come up.

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Rebecca Doodles

18,515 Aufrufe • vor 1 Jahr

➡️It's a little embarrassing to share, but I feel like it took me way to long to realize the better workflow with rigging. So here's a little #live2d tip for those beginner artists that clicked for me a while back! I used to rig all body, clothing, and accessories for one given area all at once, but I think it ended up being inconsistent to other parts of the model. My workflow was slower too. 😬 It's similar to the inconsistencies you'd get by not drawing the bone structures of your character drawing, and just trying to draw the clothes right away. Body parts can sometimes seem to not line up, especially as a newer artist. It's a small change, but rigging only the nude base in full and then slowly adding one clothing part at a time makes the entire rigging process easier.😄 I know it seems really obvious, but I actually didn't start doing this until early last year. Everything comes together much faster and much more consistently, so definitely give it a try! Hope you enjoy this #vtuber leg rigging ☺️

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The body movements of Anime characters in Seedance doesn’t has to be always rigid and constrained. They can be as expressive as the real anime too. Here’s a quick tips on how to achieve the cartoony acting style for your anime characters: Special shoutout to Ameilo for sharing the prompt that unlocked this acting style. This tips sharing is made possible by Try ArtCraft Add this Key Prompt above your prompt: Emphasize snappy animation with lively energy, pose-to-pose, strong anticipation, overshoot, squash and stretch, quick switches in facial expressions, and follow-through on hair and sleeves. Give the movements a distinctive rhythm with variation in pacing: Hold still poses firmly for a split second, then transition to the next movement with a quick, bouncy snap. Make it comical and well-timed, but keep the actions easy to read. Movements follow: "stillness → preparatory action → sudden acceleration → large overshoot → sharp stop → hair and sleeves sway delayed." Facial changes are exaggerated and comical. Poses are clear in silhouette, with a solid hold of 0.1–0.2 seconds at the end of each action. Use cartoonish squash & stretch, motion blur, short afterimages, dramatic smear frames and speed lines sparingly. Physics are slightly exaggerated beyond reality, but the character's footing and center of gravity don't break.

SujiPop

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Sneak peek from the lab. Work in progress of the real-time face tracking, via iPhone, Clone v2 cinematic rig. Simple viewport capture, no lighting or shading. Effective expression capture is key for conveying emotions accurately with your Clones. Our new cinematic rig has been constructed with flexibility in mind. We've carefully refined the 52 blend shapes that drive the facial expressions, and the face controls themselves, to achieve a more natural look. We have more iteration cycles to go through before we hit our target but you can already see a great difference from v1. This upgrade opens up a world of possibilities, from high-fidelity dynamic VRMs adaptable to various platforms to virtual production capabilities and V-Tubing with improved face filters. Our goal is simple: To help eliminate technical barriers and provide a more seamless and inclusive utility for all of our community, all while ensuring quality remains at the core of everything we do.

Sneak peek from the lab. Work in progress of the real-time face tracking, via iPhone, Clone v2 cinematic rig. Simple viewport capture, no lighting or shading. Effective expression capture is key for conveying emotions accurately with your Clones. Our new cinematic rig has been constructed with flexibility in mind. We've carefully refined the 52 blend shapes that drive the facial expressions, and the face controls themselves, to achieve a more natural look. We have more iteration cycles to go through before we hit our target but you can already see a great difference from v1. This upgrade opens up a world of possibilities, from high-fidelity dynamic VRMs adaptable to various platforms to virtual production capabilities and V-Tubing with improved face filters. Our goal is simple: To help eliminate technical barriers and provide a more seamless and inclusive utility for all of our community, all while ensuring quality remains at the core of everything we do.

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49,892 Aufrufe • vor 2 Jahren

🌟 "SHOULD I BUY AN IPHONE FOR TRACKING?" 🌟 tl;dr at bottom I've been using a facecam and Nvidia tracking for a long time and upgrading to a used iphone 13 combined with vbridger, the difference is HUGE. Here is my take on it! Why is Facecam > iPhone? ✅️ More affordable, esp for those using android phones ✅️ More convenient. If you launch Vtubestudio, there's a setting where your webcam automatically turns on, which is great. ✅️ Can track pretty well in the dark IF you already have a good webcam for night tracking. ❌️❌️ Stiff tracking at times ❌️ Not good at tracking specific mouth movement Why iPhone > Facecam? ✅️✅️ You can make the most of your model, since movement along the X and Y axes are a lot more accurate and wider. Also tracks eyes and overall face better. ✅️ More EXPRESSIONS. If your rigging allows for it, things like cheek puff, and tongue are able to be tracked. As far as I know, I cannot do this on facecam. ❌️❌️ WAY more expensive or requires that you have an iPhone already. Needs more set-up (need phone stand right in front of you, need to hook your phone up to a charger at all times, phone could possibly overheat as well if it's old, so you might need a cooler). TL;DR For me, if you have an extra 200 to spare for WAY better tracking, I would 1000% recommend buying a used iPhone on Amazon. iPhone X is the BARE minumum, I would recommend 12/13 so that your phone does not overheat. I do not need to use a cooler for my used iPhone 13. Being able to use my rigging to its fullest makes the model feel so so so different (in a good way). Feel free to reply with any questions, I will try to answer them!

🌟 "SHOULD I BUY AN IPHONE FOR TRACKING?" 🌟 tl;dr at bottom I've been using a facecam and Nvidia tracking for a long time and upgrading to a used iphone 13 combined with vbridger, the difference is HUGE. Here is my take on it! Why is Facecam > iPhone? ✅️ More affordable, esp for those using android phones ✅️ More convenient. If you launch Vtubestudio, there's a setting where your webcam automatically turns on, which is great. ✅️ Can track pretty well in the dark IF you already have a good webcam for night tracking. ❌️❌️ Stiff tracking at times ❌️ Not good at tracking specific mouth movement Why iPhone > Facecam? ✅️✅️ You can make the most of your model, since movement along the X and Y axes are a lot more accurate and wider. Also tracks eyes and overall face better. ✅️ More EXPRESSIONS. If your rigging allows for it, things like cheek puff, and tongue are able to be tracked. As far as I know, I cannot do this on facecam. ❌️❌️ WAY more expensive or requires that you have an iPhone already. Needs more set-up (need phone stand right in front of you, need to hook your phone up to a charger at all times, phone could possibly overheat as well if it's old, so you might need a cooler). TL;DR For me, if you have an extra 200 to spare for WAY better tracking, I would 1000% recommend buying a used iPhone on Amazon. iPhone X is the BARE minumum, I would recommend 12/13 so that your phone does not overheat. I do not need to use a cooler for my used iPhone 13. Being able to use my rigging to its fullest makes the model feel so so so different (in a good way). Feel free to reply with any questions, I will try to answer them!

Minori 🎀🍰💢 || bakaneko vampire :3

309,952 Aufrufe • vor 2 Jahren

AI VIDEO HAS OFFICIALLY CRACKED COMPLEX NATURAL MOVEMENTS AND NATURAL TEXTURE COHERENCE A radiant ginger haired creator in an off the shoulder red ruffled crop top and a fitted light beige mini skirt poses gracefully outdoors, making soft, rhythmic dancing gestures with both hands. Her long, sleek red hair cascades straight down her shoulders and chest, framing a gentle, confident smile as she glances directly toward the lens. She wears gold layered necklaces with a heart pendant, silver hoop earrings, a wrist cuff on one arm, and a beaded bracelet on the other, all in a completely unposed, natural outdoor posture. She moves and sways slightly toward the camera, gesturing natural arm and hand movements in front of her torso against a rustic wooden door and entryway in the background. None of this video footage happened in reality: not the fine, natural grain and imperfections on the textured wooden paneling, not the delicate, pleated ruffles running along her off the shoulder sleeves and top, not the slight natural creases and micro folds on her fitted light skirt, nor the soft, natural outdoor sunlight catching her jewelry and highlights on her hair as she moves. Rendering subtle, active finger and hand movements close to a moving human body with layered textures has long been a notorious failure point for video diffusion models. Dynamic gestures typically collapse skeletal and anatomical fidelity: fingers and hands frequently fuse directly into clothing, the shape of jewelry degrades during rapid shifting, and the intricate fabric folds or hair strands they pass in front of dissolve into blurred, unnatural artifacts. Adding a multi layered outfit with delicate accessories and off the shoulder sleeves introduces a secondary stress test, demanding precise spatial depth calculation and authentic contact shadows between her moving fingers, her hair, her jewelry, and the changing folds of her clothing as she sways. In this generation, spatial coherence remains completely anchored: the skirt’s waistband and tiny seams stay razor sharp, the fingers move with anatomical precision without merging, and the gold heart pendant and wrist accessories stay perfectly grounded against her body without temporal jitter. Generative neural networks have officially surpassed sterile studio setups, flawlessly capturing authentic, unscripted natural realism and complex, subtle motion that passes every visual test.

AI VIDEO HAS OFFICIALLY CRACKED COMPLEX NATURAL MOVEMENTS AND NATURAL TEXTURE COHERENCE A radiant ginger haired creator in an off the shoulder red ruffled crop top and a fitted light beige mini skirt poses gracefully outdoors, making soft, rhythmic dancing gestures with both hands. Her long, sleek red hair cascades straight down her shoulders and chest, framing a gentle, confident smile as she glances directly toward the lens. She wears gold layered necklaces with a heart pendant, silver hoop earrings, a wrist cuff on one arm, and a beaded bracelet on the other, all in a completely unposed, natural outdoor posture. She moves and sways slightly toward the camera, gesturing natural arm and hand movements in front of her torso against a rustic wooden door and entryway in the background. None of this video footage happened in reality: not the fine, natural grain and imperfections on the textured wooden paneling, not the delicate, pleated ruffles running along her off the shoulder sleeves and top, not the slight natural creases and micro folds on her fitted light skirt, nor the soft, natural outdoor sunlight catching her jewelry and highlights on her hair as she moves. Rendering subtle, active finger and hand movements close to a moving human body with layered textures has long been a notorious failure point for video diffusion models. Dynamic gestures typically collapse skeletal and anatomical fidelity: fingers and hands frequently fuse directly into clothing, the shape of jewelry degrades during rapid shifting, and the intricate fabric folds or hair strands they pass in front of dissolve into blurred, unnatural artifacts. Adding a multi layered outfit with delicate accessories and off the shoulder sleeves introduces a secondary stress test, demanding precise spatial depth calculation and authentic contact shadows between her moving fingers, her hair, her jewelry, and the changing folds of her clothing as she sways. In this generation, spatial coherence remains completely anchored: the skirt’s waistband and tiny seams stay razor sharp, the fingers move with anatomical precision without merging, and the gold heart pendant and wrist accessories stay perfectly grounded against her body without temporal jitter. Generative neural networks have officially surpassed sterile studio setups, flawlessly capturing authentic, unscripted natural realism and complex, subtle motion that passes every visual test.

aitifa uncut

24,618 Aufrufe • vor 13 Tagen

Depth를 활용한 틱톡 비디오 레퍼런스 만들기 모든 영상이 똑같은 포즈를 취하면 너무 AI같잖아? 하나의 Depth를 응용하면 자연스러운 포즈를 레퍼런스 삼아서 여러 개 생성할 수 있음! Depth를 레퍼런스로 넣고 프롬프트만 조정해도 됨! leads this shot — keep its framing, camera distance, trajectory and timing all the way through: the far walk-in, the stop, the fast full spin, the step closer, the final pose. Her poses do not need to match the silhouette exactly; she improvises freely in the same spirit, playful lookbook poses layered on top of 's flow — such as a crisp two-finger salute flicked off her brow with a wink mid-sequence, or leaning toward the lens in the final pose with both hands clasped behind her back, head tilted, bright grin. One body, two arms, five clean natural fingers on each hand.

Depth를 활용한 틱톡 비디오 레퍼런스 만들기 모든 영상이 똑같은 포즈를 취하면 너무 AI같잖아? 하나의 Depth를 응용하면 자연스러운 포즈를 레퍼런스 삼아서 여러 개 생성할 수 있음! Depth를 레퍼런스로 넣고 프롬프트만 조정해도 됨! leads this shot — keep its framing, camera distance, trajectory and timing all the way through: the far walk-in, the stop, the fast full spin, the step closer, the final pose. Her poses do not need to match the silhouette exactly; she improvises freely in the same spirit, playful lookbook poses layered on top of 's flow — such as a crisp two-finger salute flicked off her brow with a wink mid-sequence, or leaning toward the lens in the final pose with both hands clasped behind her back, head tilted, bright grin. One body, two arms, five clean natural fingers on each hand.

MOIRÉ

26,882 Aufrufe • vor 2 Monaten

What if workouts were generated like this? Built a dumbbell routine as a motion sheet with GPT Image 2 Then turned it into a video with Seedance 2.0 I tested 4 exercises in 15s, it works, but 2–3 exercises would probably give the best output. Motion sheet: Monochrome grayscale technical illustration, biomechanically accurate fitness instruction sheet, clean 3D anatomical character, scientific diagram aesthetic, minimalistic, no artistic exaggeration 2x4 grid layout (8 panels total), perfectly aligned cells, equal spacing, thin black borders, numbered from 1 to 8 Neutral athletic human body (gender-neutral), proportional anatomy, consistent character across all panels Dumbbell workout sequence (key positions only): 1. Dumbbell curl (start position) 2. Dumbbell curl (top contraction) 3. Shoulder press (start at shoulder level) 4. Shoulder press (overhead lockout) 5. Dumbbell lateral raise (arms down) 6. Lateral raise (arms at shoulder height) 7. Dumbbell squat (standing start) 8. Squat (bottom position) Top-left: bold number + exercise name (English) Center: full-body pose (clear joint positions) Bottom-left: short technical explanation (2–3 lines, correct form cues) Overlay: directional arrows showing movement path (up/down/arc) Correct joint alignment, neutral spine, proper elbow and knee positioning, realistic weight distribution, no exaggerated motion Highly detailed grayscale shading, soft studio lighting, subtle shadows, clean linework, medical / sports science diagram quality Pure white background No colors, no background environment, no extra elements, no stylization, no blur

What if workouts were generated like this? Built a dumbbell routine as a motion sheet with GPT Image 2 Then turned it into a video with Seedance 2.0 I tested 4 exercises in 15s, it works, but 2–3 exercises would probably give the best output. Motion sheet: Monochrome grayscale technical illustration, biomechanically accurate fitness instruction sheet, clean 3D anatomical character, scientific diagram aesthetic, minimalistic, no artistic exaggeration 2x4 grid layout (8 panels total), perfectly aligned cells, equal spacing, thin black borders, numbered from 1 to 8 Neutral athletic human body (gender-neutral), proportional anatomy, consistent character across all panels Dumbbell workout sequence (key positions only): 1. Dumbbell curl (start position) 2. Dumbbell curl (top contraction) 3. Shoulder press (start at shoulder level) 4. Shoulder press (overhead lockout) 5. Dumbbell lateral raise (arms down) 6. Lateral raise (arms at shoulder height) 7. Dumbbell squat (standing start) 8. Squat (bottom position) Top-left: bold number + exercise name (English) Center: full-body pose (clear joint positions) Bottom-left: short technical explanation (2–3 lines, correct form cues) Overlay: directional arrows showing movement path (up/down/arc) Correct joint alignment, neutral spine, proper elbow and knee positioning, realistic weight distribution, no exaggerated motion Highly detailed grayscale shading, soft studio lighting, subtle shadows, clean linework, medical / sports science diagram quality Pure white background No colors, no background environment, no extra elements, no stylization, no blur

Ege

99,122 Aufrufe • vor 5 Monaten

I created a dance movement sheet by using a reference image to animate every 16 panels from the reference image I provided. GPT Image 2 + See Dance 2.0 on Yapper Tutorial Below Prompt Here’s every step with the text under each heading: 1. Basic Stance Stand with your feet shoulder-width apart. Relax your knees. Keep your upper body relaxed. Get ready. 2. Step to the Right Step to the right. Move your body in the direction of the step. Keep your knees soft. Keep your gaze forward. 3. Step to the Left Step to the left. Move your body in the direction of the step. Keep your knees soft. Return to the starting position. 4. Two Steps Take two steps in sequence. Step to the right first. Then step to the left. Connect smoothly. 5. Body Wave Start the wave from your chest. Move through your ribs and hips. Finish with your lower body. Make the motion smooth like a wave. 6. Hip Sway Move your hips side to side. Shift your weight with the motion. Use your body naturally. Keep your upper body relaxed. 7. Arm Swing Swing your arms wide. Step to beat with your feet. Coordinate your arms and steps. Return your arms to center. 8. Turn Preparation Prepare for a turn in place. Cross one foot over the other. Use your core to maintain balance. Spot in the direction of the turn. 9. Right Turn Turn to the right. Keep your core engaged. Pivot on the ball of your foot. Spot forward after the turn. 10. Left Turn Turn to the left. Keep your core engaged. Pivot quickly. Keep your posture upright. 11. Jump Up Bend your knees and jump up. Reach your arms overhead. Land softly on your feet. Connect to the next move. 12. Kick Pose Kick your leg forward. Keep your supporting leg stable. Engage your core for balance. Control your landing. 13. Side Lunge Step wide to one side. Bend one knee and lower your body. Keep the other leg straight. Show the direction of your strength. 14. Freeze Pose Hit a strong pose on the beat. Freeze your body momentarily. Create a powerful shape. Show your presence. 15. Finishing Pose Finish the dance gracefully. Keep your balance. Show your confidence. End with a clean, sharp pose. 16. Whole Flow Connect from the basic stance to the finishing pose. The steps, waves, and turns flow naturally together. Express your own style.

I created a dance movement sheet by using a reference image to animate every 16 panels from the reference image I provided. GPT Image 2 + See Dance 2.0 on Yapper Tutorial Below Prompt Here’s every step with the text under each heading: 1. Basic Stance Stand with your feet shoulder-width apart. Relax your knees. Keep your upper body relaxed. Get ready. 2. Step to the Right Step to the right. Move your body in the direction of the step. Keep your knees soft. Keep your gaze forward. 3. Step to the Left Step to the left. Move your body in the direction of the step. Keep your knees soft. Return to the starting position. 4. Two Steps Take two steps in sequence. Step to the right first. Then step to the left. Connect smoothly. 5. Body Wave Start the wave from your chest. Move through your ribs and hips. Finish with your lower body. Make the motion smooth like a wave. 6. Hip Sway Move your hips side to side. Shift your weight with the motion. Use your body naturally. Keep your upper body relaxed. 7. Arm Swing Swing your arms wide. Step to beat with your feet. Coordinate your arms and steps. Return your arms to center. 8. Turn Preparation Prepare for a turn in place. Cross one foot over the other. Use your core to maintain balance. Spot in the direction of the turn. 9. Right Turn Turn to the right. Keep your core engaged. Pivot on the ball of your foot. Spot forward after the turn. 10. Left Turn Turn to the left. Keep your core engaged. Pivot quickly. Keep your posture upright. 11. Jump Up Bend your knees and jump up. Reach your arms overhead. Land softly on your feet. Connect to the next move. 12. Kick Pose Kick your leg forward. Keep your supporting leg stable. Engage your core for balance. Control your landing. 13. Side Lunge Step wide to one side. Bend one knee and lower your body. Keep the other leg straight. Show the direction of your strength. 14. Freeze Pose Hit a strong pose on the beat. Freeze your body momentarily. Create a powerful shape. Show your presence. 15. Finishing Pose Finish the dance gracefully. Keep your balance. Show your confidence. End with a clean, sharp pose. 16. Whole Flow Connect from the basic stance to the finishing pose. The steps, waves, and turns flow naturally together. Express your own style.

Sharon Riley

54,571 Aufrufe • vor 6 Monaten

Ai video generation Prompt: A cinematic vertical adventure shot of a young woman with long light-brown hair skateboarding downhill on a smooth mountain road. She wears a green jacket, white pants, and casual shoes. The camera follows closely from behind as she smoothly carves from side to side, maintaining realistic balance and natural body movement. Surrounding her is a breathtaking alpine landscape with towering green mountains, dramatic rocky cliffs, lush forests, winding roads, and fluffy white clouds beneath an intensely blue sky. Bright natural sunlight creates realistic highlights, shadows, and subtle lens flare. A few cars pass naturally in the opposite lane. The road markings, trees, distant mountains, and background scenery move with convincing depth and parallax. Add subtle handheld camera movement and realistic motion blur while keeping the skateboarder sharp and centered. Photorealistic cinematic travel footage, dynamic tracking shot, realistic physics, natural human movement, high-detail environment, HDR, rich atmospheric depth, 4K, vertical 9:16, smooth motion, immersive adventure-film aesthetic. No text, no watermark, no distorted anatomy, no extra limbs.

Ai video generation Prompt: A cinematic vertical adventure shot of a young woman with long light-brown hair skateboarding downhill on a smooth mountain road. She wears a green jacket, white pants, and casual shoes. The camera follows closely from behind as she smoothly carves from side to side, maintaining realistic balance and natural body movement. Surrounding her is a breathtaking alpine landscape with towering green mountains, dramatic rocky cliffs, lush forests, winding roads, and fluffy white clouds beneath an intensely blue sky. Bright natural sunlight creates realistic highlights, shadows, and subtle lens flare. A few cars pass naturally in the opposite lane. The road markings, trees, distant mountains, and background scenery move with convincing depth and parallax. Add subtle handheld camera movement and realistic motion blur while keeping the skateboarder sharp and centered. Photorealistic cinematic travel footage, dynamic tracking shot, realistic physics, natural human movement, high-detail environment, HDR, rich atmospheric depth, 4K, vertical 9:16, smooth motion, immersive adventure-film aesthetic. No text, no watermark, no distorted anatomy, no extra limbs.

AI_with_qamar

97,200 Aufrufe • vor 28 Tagen

Ditch the chemicals or super expensive natural mouthwashes and just make this at home! 👇 Why I make this: 👏 Cloves: Natural antibacterial to fight plaque and freshens breath 👏 Cinnamon: Reduces inflammation and adds a warm, fresh flavor 👏 Coconut Oil: Known for its detoxifying and antimicrobial properties 👏 To stop the funding of chemical productions being labeled as healthy products 😉 Empty large mason jars are expensive for no reason so just reuse a jar you already have, but wash it out *really good* first otherwise you’ll have salsa flavored mouthwash ;) jk but not jking Ingredients: 💦Warm water ✨Two sticks of cinnamon (do NOT use ground cinnamon, mi amor) ✨Two TBSP of cloves (honestly you can use however much you want, it’s just gonna be a stronger flavor and more powerful) 🥥Coconut oil Mix warm water with cloves and cinnamon and let sit for an hour, then add in the coconut oil, shake it up or double boil it if the water is not warm enough for the coconut oil to melt through Use it, enjoy it, fight against expensive medical mouthwashes that destroy your good bacteria.

Ditch the chemicals or super expensive natural mouthwashes and just make this at home! 👇 Why I make this: 👏 Cloves: Natural antibacterial to fight plaque and freshens breath 👏 Cinnamon: Reduces inflammation and adds a warm, fresh flavor 👏 Coconut Oil: Known for its detoxifying and antimicrobial properties 👏 To stop the funding of chemical productions being labeled as healthy products 😉 Empty large mason jars are expensive for no reason so just reuse a jar you already have, but wash it out really good first otherwise you’ll have salsa flavored mouthwash ;) jk but not jking Ingredients: 💦Warm water ✨Two sticks of cinnamon (do NOT use ground cinnamon, mi amor) ✨Two TBSP of cloves (honestly you can use however much you want, it’s just gonna be a stronger flavor and more powerful) 🥥Coconut oil Mix warm water with cloves and cinnamon and let sit for an hour, then add in the coconut oil, shake it up or double boil it if the water is not warm enough for the coconut oil to melt through Use it, enjoy it, fight against expensive medical mouthwashes that destroy your good bacteria.

Barbara Oneill

261,140 Aufrufe • vor 1 Jahr

Turning a chaotic classroom into a cinematic AI scene.Realistic motion, natural emotions, and stunning details. Created on seedance 2.0 Prompt: 15-second cinematic video prompt: A realistic young Korean schoolgirl stands in the center of a messy classroom, wearing a white short-sleeve school uniform shirt with a red ribbon tie and a dark gray pleated skirt, while several students sit and move around behind her. Books, papers, notebooks, and classroom objects are scattered and flying through the air, creating a chaotic but realistic atmosphere. She slowly walks forward toward the camera with a serious, calm expression while the background students react naturally to the sudden chaos. The camera tracks backward smoothly, keeping her centered in a vertical 9:16 composition with realistic handheld movement. Papers and objects continue falling around her with believable gravity, motion blur, and natural physics. Around the middle of the video, she raises one hand slightly while continuing to approach the camera, maintaining the same face, hairstyle, uniform, and body proportions. In the final seconds, the camera moves closer to her face as she gently brushes her hair away from her eyes, looking directly into the lens with a subtle emotional expression. Use natural classroom lighting, realistic skin texture, detailed fabric, authentic shadows, cinematic depth of field, and photorealistic visuals throughout, with smooth continuous motion and no cuts.

Turning a chaotic classroom into a cinematic AI scene.Realistic motion, natural emotions, and stunning details. Created on seedance 2.0 Prompt: 15-second cinematic video prompt: A realistic young Korean schoolgirl stands in the center of a messy classroom, wearing a white short-sleeve school uniform shirt with a red ribbon tie and a dark gray pleated skirt, while several students sit and move around behind her. Books, papers, notebooks, and classroom objects are scattered and flying through the air, creating a chaotic but realistic atmosphere. She slowly walks forward toward the camera with a serious, calm expression while the background students react naturally to the sudden chaos. The camera tracks backward smoothly, keeping her centered in a vertical 9:16 composition with realistic handheld movement. Papers and objects continue falling around her with believable gravity, motion blur, and natural physics. Around the middle of the video, she raises one hand slightly while continuing to approach the camera, maintaining the same face, hairstyle, uniform, and body proportions. In the final seconds, the camera moves closer to her face as she gently brushes her hair away from her eyes, looking directly into the lens with a subtle emotional expression. Use natural classroom lighting, realistic skin texture, detailed fabric, authentic shadows, cinematic depth of field, and photorealistic visuals throughout, with smooth continuous motion and no cuts.

Maha

21,631 Aufrufe • vor 1 Monat

Seedance 2.0 Takeshi's Castle (Roller Game version) prompt 🎎 Authentic 1980s Japanese television game show broadcast footage, realistic recreation of original Takeshi's Castle ENG camera footage, natural handheld camera with subtle shake and tracking, broadcast video noise, analog grain, limited dynamic range and color saturation of the era, slight color bleeding on highlights, chaotic energetic atmosphere of the original show. No reference images provided. Generate the entire scene from the text description. 0-3s: [Wide handheld tracking shot from the side] A determined young Japanese male contestant in his mid-20s, short black hair, wearing a bright orange tracksuit with white stripes, white sneakers and a white headband, sprints confidently from the wooden starting platform onto the first of several large spinning cylindrical logs floating over a murky pond. He runs with pumping arms and focused expression as the log begins to rotate slowly beneath his feet, causing his body to wobble slightly. Water ripples and splashes lightly around the base of the logs. 3-6s: [Dynamic medium tracking shot moving alongside] He leaps to the second spinning log at a slightly higher level, landing with bent knees to absorb the impact. The faster-rotating drum spins his feet out from under him; he flails his arms dramatically to regain balance, torso leaning left then right, face shifting from concentration to surprise. The log's wet surface glistens as he struggles to stay upright. 6-9s: [Closer side profile action shot with motion blur] Pushing forward to the third log, his right foot slips on the spinning wet wood. He lurches forward violently, arms windmilling, body twisting as he tries to recover by crouching low. His left leg dips into the water creating a splash, but he pulls it out and continues with desperate momentum, the rotating cylinder throwing off his rhythm. 9-12s: [Dynamic tracking shot from a three-quarter angle] He attempts a running jump to the next log but the combined spin and his forward speed causes him to lose all balance. His body tilts backward sharply, legs kicking in the air, arms reaching out for nothing as he begins to fall off the side of the log. 12-15s: [Impact focused shot with water dynamics] The contestant falls backward off the spinning log into the pond with a huge explosive splash, water shooting up around his body. He submerges briefly, then resurfaces gasping and flailing, completely soaked, as the logs continue their relentless spinning in the background. His expression is one of shocked defeat mixed with the show's signature comedic failure. High fidelity recreation of 1980s analog broadcast video, visible natural grain and broadcast noise, realistic motion characteristics of old ENG cameras, coherent but slightly imperfect physics and movement as seen in original Takeshi's Castle episodes, era-accurate color response and limited dynamic range, stable character with the natural imperfections of analog footage, no modern digital sharpness or artifacts.

TechHalla

138,188 Aufrufe • vor 3 Monaten