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How to generate 3D miniature city models and animate them using Kling AI? This visual effect can be created with Kling O1, and then rotated in 3D using Image to Video. The image prompt used for generation is as follows: Present a clear, 45° top-down isometric miniature 3D cartoon...

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Kling AI

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34,303 次观看 • 7 个月前 •via X (Twitter)

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Have you ever imagined your city turning into a Lego world? With Kling O1, that fantasy becomes real! Tools: Kling IMAGE O1, Kling Image to Video Use this image-generation prompt: Present a clear, 45° top-down isometric miniature Lego-style 3D cartoon scene of New York built entirely from plastic bricks. Recreate the city’s most iconic landmarks and architectural elements using distinctive Lego block geometry. Use clean, glossy brick textures with subtle PBR reflections and soft, playful lighting and shadows. Keep the composition minimalistic with a soft, solid-colored background. Feeling inspired? Just change the city name and watch a whole new Lego universe come to life!
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Have you ever imagined your city turning into a Lego world? With Kling O1, that fantasy becomes real! Tools: Kling IMAGE O1, Kling Image to Video Use this image-generation prompt: Present a clear, 45° top-down isometric miniature Lego-style 3D cartoon scene of New York built entirely from plastic bricks. Recreate the city’s most iconic landmarks and architectural elements using distinctive Lego block geometry. Use clean, glossy brick textures with subtle PBR reflections and soft, playful lighting and shadows. Keep the composition minimalistic with a soft, solid-colored background. Feeling inspired? Just change the city name and watch a whole new Lego universe come to life!

Kling AI

38,391 次观看 • 7 个月前

Create your city inside LovartAI ✨ Just change the names in the prompt and watch Nano Banana 2 make it real. 👀 🚨 Prompt Drop ⤵️ A street-style printed map of [ YOUR CITY ] placed on a clean light wood table, with a photorealistic miniature version of [ YOUR CITY ] emerging from it, featuring [ INSERT THE MAIN TOURIST ATTRACTIONS AND ANY CUSTOM ELEMENTS YOU WANT TO ADD ]. All elements rise organically from the map surface, forming a highly detailed 3D urban diorama. Buildings align precisely with the printed streets. Studio soft lighting, cinematic depth of field, ultra-realistic textures, clean atmosphere, premium travel photography aesthetic.
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Create your city inside LovartAI ✨ Just change the names in the prompt and watch Nano Banana 2 make it real. 👀 🚨 Prompt Drop ⤵️ A street-style printed map of [ YOUR CITY ] placed on a clean light wood table, with a photorealistic miniature version of [ YOUR CITY ] emerging from it, featuring [ INSERT THE MAIN TOURIST ATTRACTIONS AND ANY CUSTOM ELEMENTS YOU WANT TO ADD ]. All elements rise organically from the map surface, forming a highly detailed 3D urban diorama. Buildings align precisely with the printed streets. Studio soft lighting, cinematic depth of field, ultra-realistic textures, clean atmosphere, premium travel photography aesthetic.

Marcio Lima 利真 マルシオ 💎

30,701 次观看 • 4 个月前

Do you want to create your cutest squeeze toy? Here is the workflow.... First create Inage with Gpt image 2 Here's the prompt modified according to your reference image and creator persona: Prompt: Ultra-realistic whimsical miniature portrait of a tiny stylized female AI creator inspired by the reference image, featuring fair glowing skin, expressive brown eyes, soft feminine facial features, dark wavy hair tied in a messy low bun with loose strands framing her face, and pearl earrings. She is standing on a polished dark wooden table with her arms at her sides, mouth wide open in a perfect "O" shape, cheeks puffed up to an exaggerated cartoon size, and eyes bulging in surprise. A giant realistic human hand enters from the right side, playfully poking her exposed belly, causing a funny squishy reaction. She wears an oversized black Future Vibes AI hoodie, relaxed beige trousers, and white sneakers. The character has adorable bobblehead proportions with a disproportionately large head and tiny body, soft rubbery Pixar-style physics, photorealistic skin textures, expressive facial animation, and cute miniature details. Background is a clean light grey/off-white horizontal panel wall with soft diffused indoor lighting and subtle shadows beneath the figure. Vertical composition, medium close-up shot, centered framing, whimsical cinematic atmosphere, ultra-detailed 3D render, Pixar meets realism, shallow depth of field, 8K masterpiece. Image Created In Vidu AI For Video Prompt Check Below
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Do you want to create your cutest squeeze toy? Here is the workflow.... First create Inage with Gpt image 2 Here's the prompt modified according to your reference image and creator persona: Prompt: Ultra-realistic whimsical miniature portrait of a tiny stylized female AI creator inspired by the reference image, featuring fair glowing skin, expressive brown eyes, soft feminine facial features, dark wavy hair tied in a messy low bun with loose strands framing her face, and pearl earrings. She is standing on a polished dark wooden table with her arms at her sides, mouth wide open in a perfect "O" shape, cheeks puffed up to an exaggerated cartoon size, and eyes bulging in surprise. A giant realistic human hand enters from the right side, playfully poking her exposed belly, causing a funny squishy reaction. She wears an oversized black Future Vibes AI hoodie, relaxed beige trousers, and white sneakers. The character has adorable bobblehead proportions with a disproportionately large head and tiny body, soft rubbery Pixar-style physics, photorealistic skin textures, expressive facial animation, and cute miniature details. Background is a clean light grey/off-white horizontal panel wall with soft diffused indoor lighting and subtle shadows beneath the figure. Vertical composition, medium close-up shot, centered framing, whimsical cinematic atmosphere, ultra-detailed 3D render, Pixar meets realism, shallow depth of field, 8K masterpiece. Image Created In Vidu AI For Video Prompt Check Below

Future Vibes AI - Educator

21,160 次观看 • 22 天前

Here's exactly how to create these 3D Animations in under 5 minutes: 1. Generate character with GPT using this prompt: 9X16 image of a 3D hyper-realistic character of (DESIRED CHARACTER), anthropomorphic with a friendly face and large expressive eyes. Unreal Engine 5 render style. Background is a (DESIRED BACKGROUND) 2. Animate the video with VEO 3 3. Clone the entire entire video's voice with elevenlabs and rewrite the entire audio clip and paste it back in with capcut. Thats it, stop wasting money on 3D artists.
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Here's exactly how to create these 3D Animations in under 5 minutes: 1. Generate character with GPT using this prompt: 9X16 image of a 3D hyper-realistic character of (DESIRED CHARACTER), anthropomorphic with a friendly face and large expressive eyes. Unreal Engine 5 render style. Background is a (DESIRED BACKGROUND) 2. Animate the video with VEO 3 3. Clone the entire entire video's voice with elevenlabs and rewrite the entire audio clip and paste it back in with capcut. Thats it, stop wasting money on 3D artists.

mtvmald

66,085 次观看 • 5 个月前

kling 2.6 motion control is actually insane for AI ads you can swap any person in a video with a different person and it looks completely realistic, and its way better than wan 2.2 this unlocks massive testing potential for ads you can test the same ad concept across multiple different ICPs instantly here's the workflow: >generate your new character with nano banana pro >use kling 2.6 motion control to replace the person in your existing video generate a new voice with >elevenlabs to match the character you can take one winning ad and instantly create 10 variations targeting: -different age groups -different genders -different ethnicities -different aesthetics this is the future of ad testing at scale
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kling 2.6 motion control is actually insane for AI ads you can swap any person in a video with a different person and it looks completely realistic, and its way better than wan 2.2 this unlocks massive testing potential for ads you can test the same ad concept across multiple different ICPs instantly here's the workflow: >generate your new character with nano banana pro >use kling 2.6 motion control to replace the person in your existing video generate a new voice with >elevenlabs to match the character you can take one winning ad and instantly create 10 variations targeting: -different age groups -different genders -different ethnicities -different aesthetics this is the future of ad testing at scale

Miko

29,396 次观看 • 7 个月前

DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion TL;DR: Create 3/4DGS from Video Diffusion Note: Some first inference code released (not all yet). Contributions (cited): • We present DimensionX, a novel framework for generating photorealistic 3D and 4D scenes from only a single image using controllable video diffusion. • We propose ST-Director, which decouples the spatial and temporal priors in video diffusion models by learning (spatial and temporal) dimension-aware modules with our curated datasets. We further enhance the hybriddimension control with a training-free composition approach according to the essence of video diffusion denoising process. • To bridge the gap between video diffusion and real-world scenes, we design a trajectory-aware mechanism for 3D generation and an identity-preserving denoising approach for 4D generation, enabling more realistic and controllable scene synthesis. • Extensive experiments manifest that our DimensionX delivers superior performance in video, 3D, and 4D generation compared with baseline methods.
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DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion TL;DR: Create 3/4DGS from Video Diffusion Note: Some first inference code released (not all yet). Contributions (cited): • We present DimensionX, a novel framework for generating photorealistic 3D and 4D scenes from only a single image using controllable video diffusion. • We propose ST-Director, which decouples the spatial and temporal priors in video diffusion models by learning (spatial and temporal) dimension-aware modules with our curated datasets. We further enhance the hybriddimension control with a training-free composition approach according to the essence of video diffusion denoising process. • To bridge the gap between video diffusion and real-world scenes, we design a trajectory-aware mechanism for 3D generation and an identity-preserving denoising approach for 4D generation, enabling more realistic and controllable scene synthesis. • Extensive experiments manifest that our DimensionX delivers superior performance in video, 3D, and 4D generation compared with baseline methods.

MrNeRF

17,052 次观看 • 1 年前

Create a 3D model from a single image, set of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”
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Create a 3D model from a single image, set of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”

Bilawal Sidhu

92,792 次观看 • 2 年前

A quick test of using 3d drawing with 6DOF controllers as an "instructor" for a generative AI process. There's so many powerful and fun new ways to create just around the corner.. Here I'm using Dreams, Krea and 3daistudio. The 3d model at the end of the video was generated from the Dreams+Krea output in just around 15 seconds. Only the model on the left is a "true" 3d model. #ai #madeindreams
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A quick test of using 3d drawing with 6DOF controllers as an "instructor" for a generative AI process. There's so many powerful and fun new ways to create just around the corner.. Here I'm using Dreams, Krea and 3daistudio. The 3d model at the end of the video was generated from the Dreams+Krea output in just around 15 seconds. Only the model on the left is a "true" 3d model. #ai #madeindreams

Martin Nebelong

132,864 次观看 • 2 年前

ChatGPT-Image-2.0 × HappyHorse 1.0 作り方： Step 1：ChatGPT-Image-2.0で画面を生成 Prompt Step-by-step shampoo routine: first create enough foam in your hands; do not apply shampoo directly to the scalp; apply the foam to the scalp and gently cleanse. Rinse thoroughly with water, then dry at the end. Clean bathroom background, soft lighting, instructional style, photorealistic, high detail Step 2：HappyHorse 1.0で動画化 Prompt Share 124 Following steps in the reference image, a step-by-step shampoo routine: first create enough foam in your hands; do not apply shampoo directly to the scalp; apply the foam to the scalp and gently cleanse. Rinse thoroughly with water, then dry at the end. Clean bathroom background, soft lighting, instructional style, photorealistic, high detail
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ChatGPT-Image-2.0 × HappyHorse 1.0 作り方： Step 1：ChatGPT-Image-2.0で画面を生成 Prompt Step-by-step shampoo routine: first create enough foam in your hands; do not apply shampoo directly to the scalp; apply the foam to the scalp and gently cleanse. Rinse thoroughly with water, then dry at the end. Clean bathroom background, soft lighting, instructional style, photorealistic, high detail Step 2：HappyHorse 1.0で動画化 Prompt Share 124 Following steps in the reference image, a step-by-step shampoo routine: first create enough foam in your hands; do not apply shampoo directly to the scalp; apply the foam to the scalp and gently cleanse. Rinse thoroughly with water, then dry at the end. Clean bathroom background, soft lighting, instructional style, photorealistic, high detail

KANA｜東京AI映像

22,601 次观看 • 3 个月前

Wonderland: Navigating 3D Scenes from a Single Image Contributions: • First, we introduce a representation for controllable 3D generation by leveraging the generative priors from camera-guided video diffusion models. Unlike image models, video diffusion models are trained on extensive video datasets. This enables them to capture comprehensive spatial relationships within scenes across multiple views and embed a form of "3D awareness" in their latent space, which allows us to maintain 3D consistency in novel view synthesis. • Second, to achieve controllable novel view generation, we empower video models with precise control over specified camera motions. We introduce a novel dual-branch conditioning mechanism that effectively incorporates desired diverse camera trajectories into the video diffusion model. This enables expansion of a single image into a multi-view consistent capture of a 3D scene with precise pose control. • Third, to achieve efficient 3D reconstruction, we directly transform video latents into 3DGS. We propose a novel latent-based large reconstruction model (LaLRM) that lifts video latents to 3D in a feed-forward manner. With this design, during inference, our model directly predicts 3DGS from a single input image, effectively aligning the generation and reconstruction tasks—and bridging image space and 3D space—through the video latent space. Compared with reconstructing scenes from images, the video latent space offers a 256× spatial-temporal reduction while retaining essential and consistent 3D structural details. Such a high degree of compression is crucial, as it allows the LaLRM to handle a wider range of 3D scenes within the reconstruction framework, with the same memory constraints.
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Wonderland: Navigating 3D Scenes from a Single Image Contributions: • First, we introduce a representation for controllable 3D generation by leveraging the generative priors from camera-guided video diffusion models. Unlike image models, video diffusion models are trained on extensive video datasets. This enables them to capture comprehensive spatial relationships within scenes across multiple views and embed a form of "3D awareness" in their latent space, which allows us to maintain 3D consistency in novel view synthesis. • Second, to achieve controllable novel view generation, we empower video models with precise control over specified camera motions. We introduce a novel dual-branch conditioning mechanism that effectively incorporates desired diverse camera trajectories into the video diffusion model. This enables expansion of a single image into a multi-view consistent capture of a 3D scene with precise pose control. • Third, to achieve efficient 3D reconstruction, we directly transform video latents into 3DGS. We propose a novel latent-based large reconstruction model (LaLRM) that lifts video latents to 3D in a feed-forward manner. With this design, during inference, our model directly predicts 3DGS from a single input image, effectively aligning the generation and reconstruction tasks—and bridging image space and 3D space—through the video latent space. Compared with reconstructing scenes from images, the video latent space offers a 256× spatial-temporal reduction while retaining essential and consistent 3D structural details. Such a high degree of compression is crucial, as it allows the LaLRM to handle a wider range of 3D scenes within the reconstruction framework, with the same memory constraints.

MrNeRF

52,801 次观看 • 1 年前

Created this by using a movement sheet as a reference image to animate the dance using Seedance 2.0 + ChatGPT image 2.0 on Yapper 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 guide with a technical, diagram-inspired layout. Clean white background, soft studio lighting, and strong contrast to highlight body movement and posture. [GRID LAYOUT] Structured 4×4 panel grid (16 frames total), evenly spaced with thin black divider lines. Each panel is identical in size and clearly numbered from 1 to 16 to show a continuous dance progression. [CHARACTER] Use image1 as the base character. The same female dancer appears consistently across all panels with accurate likeness and proportions. [WARDROBE] The dancer wears a stylish, performance-ready outfit: a well-fitted top paired with a short, flowy skirt. The look should feel modern and visually appealing while still practical for dance movement. Fabric should subtly respond to motion (slight flow and folds), even in grayscale. [PANEL STRUCTURE – EACH FRAME] Top-left: Step number + short dance move title (e.g., “Step 5 – Spin Transition”) Center: Full-body pose capturing a precise moment in the choreography Bottom-left: 3–4 lines of concise instruction describing the move Overlay: Motion arrows and directional guides illustrating how the dancer transitions [MOTION INDICATORS] Incorporate curved arrows for fluid motion, straight arrows for directional steps, and circular indicators for spins or turns. Emphasize rhythm, weight shifts, and body isolation. [RENDER QUALITY] High-detail sculpted 3D style with smooth grayscale shading, subtle shadows, and clean linework. Maintain a polished, concept-art level finish with clarity in every pose. [RESTRICTIONS] No color, no background scenery, no extra characters, no visual clutter, only the dancer and instructional elements.
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Created this by using a movement sheet as a reference image to animate the dance using Seedance 2.0 + ChatGPT image 2.0 on Yapper 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 guide with a technical, diagram-inspired layout. Clean white background, soft studio lighting, and strong contrast to highlight body movement and posture. [GRID LAYOUT] Structured 4×4 panel grid (16 frames total), evenly spaced with thin black divider lines. Each panel is identical in size and clearly numbered from 1 to 16 to show a continuous dance progression. [CHARACTER] Use image1 as the base character. The same female dancer appears consistently across all panels with accurate likeness and proportions. [WARDROBE] The dancer wears a stylish, performance-ready outfit: a well-fitted top paired with a short, flowy skirt. The look should feel modern and visually appealing while still practical for dance movement. Fabric should subtly respond to motion (slight flow and folds), even in grayscale. [PANEL STRUCTURE – EACH FRAME] Top-left: Step number + short dance move title (e.g., “Step 5 – Spin Transition”) Center: Full-body pose capturing a precise moment in the choreography Bottom-left: 3–4 lines of concise instruction describing the move Overlay: Motion arrows and directional guides illustrating how the dancer transitions [MOTION INDICATORS] Incorporate curved arrows for fluid motion, straight arrows for directional steps, and circular indicators for spins or turns. Emphasize rhythm, weight shifts, and body isolation. [RENDER QUALITY] High-detail sculpted 3D style with smooth grayscale shading, subtle shadows, and clean linework. Maintain a polished, concept-art level finish with clarity in every pose. [RESTRICTIONS] No color, no background scenery, no extra characters, no visual clutter, only the dancer and instructional elements.

Johnn

54,611 次观看 • 3 个月前

next, here is how to animate the video once you generated the base image of your ai model, attach the image of your model and the product image in your ai tool and prompt, "she is holding this product" now to animate this scene, use such a simple prompt; "the girl is speaking in her beautiful voice; "this is the most powerful drink in the world... drink it once, and your whole hair is gone" no background music, no sound effects." adding "no background music" is necessory part when you're prompting to VEO 3 or Kling 2.6 and for the drinking scene, i also gave it a very simple prompt; "the girl is drinking, handheld camera shaking. No background music," then i asked nb pro to remove her hair, and then turn it into the using that simple prompt method. note; simple prompts works better than complicated one when it comes to animating your video that's it, if you need any help setting up your ai influencer to promote your product/app or service just DM me here on 𝕏 or comment "want" i'll dm you myself if you know how to make viral content + setup such a beautiful ai model 2026 will be yours, cheers
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next, here is how to animate the video once you generated the base image of your ai model, attach the image of your model and the product image in your ai tool and prompt, "she is holding this product" now to animate this scene, use such a simple prompt; "the girl is speaking in her beautiful voice; "this is the most powerful drink in the world... drink it once, and your whole hair is gone" no background music, no sound effects." adding "no background music" is necessory part when you're prompting to VEO 3 or Kling 2.6 and for the drinking scene, i also gave it a very simple prompt; "the girl is drinking, handheld camera shaking. No background music," then i asked nb pro to remove her hair, and then turn it into the using that simple prompt method. note; simple prompts works better than complicated one when it comes to animating your video that's it, if you need any help setting up your ai influencer to promote your product/app or service just DM me here on 𝕏 or comment "want" i'll dm you myself if you know how to make viral content + setup such a beautiful ai model 2026 will be yours, cheers

ViralOps

21,545 次观看 • 7 个月前

Smartest AI update for Chrome You can now use Gemini from anywhere: - Type "@" in the top bar - Select "Chat with Gemini" - Write your prompt next Press Enter and Chrome will answer you directly using Gemini! No longer need to open a new tab, access Gemini and then finally type your prompt. Everything is done directly from the top bar in one go: a huge productivity boost!
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Smartest AI update for Chrome You can now use Gemini from anywhere: - Type "@" in the top bar - Select "Chat with Gemini" - Write your prompt next Press Enter and Chrome will answer you directly using Gemini! No longer need to open a new tab, access Gemini and then finally type your prompt. Everything is done directly from the top bar in one go: a huge productivity boost!

Paul Couvert

62,465 次观看 • 2 年前

As announced in partnership with NVIDIA at CES, we’re excited to introduce Stable Point Aware 3D (SPAR3D), setting a new standard in 3D generation. Ideal for running on NVIDIA RTX AI PCs, SPAR3D enables real-time editing and complete structure generation of 3D objects from a single image in under a second. You can download the weights on Hugging Face and code on GitHub, or access the model through the Stability AI API. Learn more here: (1/3)
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As announced in partnership with NVIDIA at CES, we’re excited to introduce Stable Point Aware 3D (SPAR3D), setting a new standard in 3D generation. Ideal for running on NVIDIA RTX AI PCs, SPAR3D enables real-time editing and complete structure generation of 3D objects from a single image in under a second. You can download the weights on Hugging Face and code on GitHub, or access the model through the Stability AI API. Learn more here: (1/3)

Stability AI

181,479 次观看 • 1 年前

Just testing Nano Banana for fashion try on + changing facial expressions and poses and then Kling AI 2.1 start and end frame to create outfit changes. It could be an interesting way to showcase fashion items on a website. Maybe a new range of clothing got released and you can create transitions that showcase every new item OR if you've done real photography with real models wearing real items of clothing, you can just create transitions between the outfits to showcase them. The main way I'm prompting on Kling using start and end frame to get these effects is to say something like "A womans outfit rapidly changes" or "A womans outfit rapidly changes from a burst of fire, sparks and smoke".
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Just testing Nano Banana for fashion try on + changing facial expressions and poses and then Kling AI 2.1 start and end frame to create outfit changes. It could be an interesting way to showcase fashion items on a website. Maybe a new range of clothing got released and you can create transitions that showcase every new item OR if you've done real photography with real models wearing real items of clothing, you can just create transitions between the outfits to showcase them. The main way I'm prompting on Kling using start and end frame to get these effects is to say something like "A womans outfit rapidly changes" or "A womans outfit rapidly changes from a burst of fire, sparks and smoke".

Travis Davids

11,686 次观看 • 11 个月前

✨ I can now generate 3d assets for my drone sim at directly from Cursor (sponsor of #vibejam) I need buildings that you'd see in a war torn city, like warehouses in ruins, broken down abandoned houses, bombed out bridges etc. Nano Banana Pro or 2 can generate them really well and then you can put them in an image-to-3d model and you get a GLB or FBX That one you can then import into your Three.js game, the models might be big though, in my case like 16MB, so I ask it to compress it and make it more low poly so it loads fast ThreeJS then loads the individual GLBs on page load and puts them in my drone sim somewhere randomly, I think I should remove some of the grass and match the sandy color of the ruins though to make it fit in more
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✨ I can now generate 3d assets for my drone sim at directly from Cursor (sponsor of #vibejam) I need buildings that you'd see in a war torn city, like warehouses in ruins, broken down abandoned houses, bombed out bridges etc. Nano Banana Pro or 2 can generate them really well and then you can put them in an image-to-3d model and you get a GLB or FBX That one you can then import into your Three.js game, the models might be big though, in my case like 16MB, so I ask it to compress it and make it more low poly so it loads fast ThreeJS then loads the individual GLBs on page load and puts them in my drone sim somewhere randomly, I think I should remove some of the grass and match the sandy color of the ruins though to make it fit in more

@levelsio

134,777 次观看 • 3 个月前

I used a movement sheet as a reference image to animate the dance using Seedance 2.0 + GPT image 2.0 GPT Image 2.0 prompt: [STYLE] Monochrome grayscale illustration, 3D-rendered character, clean instructional reference sheet, white background, comic-style cell grid layout, technical diagram aesthetic. [LAYOUT] 4×4 grid layout with a total of 16 panels. Each panel is separated by thin black border lines. Cells are numbered from 1 to 16, with consistent panel sizes. [CHARACTER] image1 (the same character appears consistently in all panels) [PANEL STRUCTURE – per cell] Top-left: bold number badge + English title text Center: full-body character pose illustration Bottom-left: English description text (3–4 lines) Overlay: directional arrows indicating movement [ARROWS / MOTION INDICATORS] Curved arrows, straight arrows, and circular rotation indicators placed around the character to show motion flow and direction. [RENDERING STYLE] Highly detailed 3D sculpted style, soft studio lighting, subtle shadows, no color, grayscale shading, clean linework, game concept art quality. [NEGATIVE] No background scenery, no color tones, no additional characters, no complex background.
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I used a movement sheet as a reference image to animate the dance using Seedance 2.0 + GPT image 2.0 GPT Image 2.0 prompt: [STYLE] Monochrome grayscale illustration, 3D-rendered character, clean instructional reference sheet, white background, comic-style cell grid layout, technical diagram aesthetic. [LAYOUT] 4×4 grid layout with a total of 16 panels. Each panel is separated by thin black border lines. Cells are numbered from 1 to 16, with consistent panel sizes. [CHARACTER] image1 (the same character appears consistently in all panels) [PANEL STRUCTURE – per cell] Top-left: bold number badge + English title text Center: full-body character pose illustration Bottom-left: English description text (3–4 lines) Overlay: directional arrows indicating movement [ARROWS / MOTION INDICATORS] Curved arrows, straight arrows, and circular rotation indicators placed around the character to show motion flow and direction. [RENDERING STYLE] Highly detailed 3D sculpted style, soft studio lighting, subtle shadows, no color, grayscale shading, clean linework, game concept art quality. [NEGATIVE] No background scenery, no color tones, no additional characters, no complex background.

Oogie

351,042 次观看 • 3 个月前

Bullet time effect using seedance 2.0 on SocialSight Prompt: Cinematic 8K, ultra-realistic slow-motion video of a woman in a white button-down shirt and black trousers mid-air as she slips on an icy New York City street. Large cubes of ice and a spilled cup of coffee with a massive brown splash are suspended in the air around her. She has a red patterned digital glitch mask over her eyes. The camera performs a 360-degree orbital pan around her frozen falling pose. Photorealistic, shallow depth of field, towering city skyscrapers in the background, overcast winter lighting, hyper-detailed textures.
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Bullet time effect using seedance 2.0 on SocialSight Prompt: Cinematic 8K, ultra-realistic slow-motion video of a woman in a white button-down shirt and black trousers mid-air as she slips on an icy New York City street. Large cubes of ice and a spilled cup of coffee with a massive brown splash are suspended in the air around her. She has a red patterned digital glitch mask over her eyes. The camera performs a 360-degree orbital pan around her frozen falling pose. Photorealistic, shallow depth of field, towering city skyscrapers in the background, overcast winter lighting, hyper-detailed textures.

K

10,979 次观看 • 3 个月前

🌀 #Live3D #Live2D #Live2DWIP 🌀 Today, I’d like to share two of the three methods I use to create joint twisting in my Live2D-based 2D Pseudo-3D concept. On the right is the Glue Joint： The basic idea is to use Glue to connect two pseudo-3D ArtMeshes. By taking advantage of Glue’s weight settings, it can create an effect similar to a 3D joint. Once the weights are set up, it can move very freely with a relatively low amount of work. However, it also shares the same weakness as 3D joints: when rotated at large angles, it can produce unpleasant twisting and distortion. On the left is the Hand-Bent Joint： The basic idea is to add bending Keyforms directly to a Warp Deformer, then manually sculpt the ideal deformation. This method can create the most detailed and refined joints, depending entirely on how the rigger designs them. The downside is that it requires much more work. Every additional degree of freedom requires a significant amount of manual adjustment. These two joint methods have almost opposite characteristics, so in actual Live3D work, I choose the most suitable method depending on the situation. For example, in this hand model, I used Hand-Bent Joints for the arm twisting and fingers, while the wrist uses a Glue Joint.✨
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🌀 #Live3D #Live2D #Live2DWIP 🌀 Today, I’d like to share two of the three methods I use to create joint twisting in my Live2D-based 2D Pseudo-3D concept. On the right is the Glue Joint： The basic idea is to use Glue to connect two pseudo-3D ArtMeshes. By taking advantage of Glue’s weight settings, it can create an effect similar to a 3D joint. Once the weights are set up, it can move very freely with a relatively low amount of work. However, it also shares the same weakness as 3D joints: when rotated at large angles, it can produce unpleasant twisting and distortion. On the left is the Hand-Bent Joint： The basic idea is to add bending Keyforms directly to a Warp Deformer, then manually sculpt the ideal deformation. This method can create the most detailed and refined joints, depending entirely on how the rigger designs them. The downside is that it requires much more work. Every additional degree of freedom requires a significant amount of manual adjustment. These two joint methods have almost opposite characteristics, so in actual Live3D work, I choose the most suitable method depending on the situation. For example, in this hand model, I used Hand-Bent Joints for the arm twisting and fingers, while the wrist uses a Glue Joint.✨

📐Hephaestus📏Live2D匠人魂

18,119 次观看 • 1 个月前

From product image to video with just one tool - Dzine As you may have noticed, this is one of my favorite tools. It is also very underrated, as probably 50% of my tutorials include some workflow. I was testing the new image-to-video option today, and I love it. Step - by step guide in comments 🔽 I can do 95% of a workflow without switching between apps. Image generation, Image to image with style reference, background removal, background generation, and 2 frames image to video. The only other app I have been using for this video is CapCut so that I can stitch it together. Step by step 🔽
0:11

From product image to video with just one tool - Dzine As you may have noticed, this is one of my favorite tools. It is also very underrated, as probably 50% of my tutorials include some workflow. I was testing the new image-to-video option today, and I love it. Step - by step guide in comments 🔽 I can do 95% of a workflow without switching between apps. Image generation, Image to image with style reference, background removal, background generation, and 2 frames image to video. The only other app I have been using for this video is CapCut so that I can stitch it together. Step by step 🔽

Teodora P L

28,523 次观看 • 1 年前