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Qwen Image Edit w/ Camera Control is wild 🤯 Quickly rotate the camera, switch between bird's eye and worm's eye views using just clicks. Here's how plus 7 wild examples:👇

Min Choi

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309,427 次观看 • 9 个月前 •via X (Twitter)

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adding camera control to the list of things Qwen Image Edit is great at + with a specialized multi-angle LoRA it's even better✨ > rotate the camera > tilt between bird’s-eye and worm’s-eye views > adjust lens (wide, close-up) of course we built a demo for it 🤝📹

adding camera control to the list of things Qwen Image Edit is great at + with a specialized multi-angle LoRA it's even better✨ > rotate the camera > tilt between bird’s-eye and worm’s-eye views > adjust lens (wide, close-up) of course we built a demo for it 🤝📹

Linoy Tsaban

374,921 次观看 • 9 个月前

Camera angle editing has never been this intuitive & fast 🔥 Just added apolinario (poli) 's 3D interactive component to the Qwen Camera Angle Control demo, using 大雄's Qwen-Edit-2509-Multiple-Angles LoRA Simply drag the camera around 👇

Camera angle editing has never been this intuitive & fast 🔥 Just added apolinario (poli) 's 3D interactive component to the Qwen Camera Angle Control demo, using 大雄's Qwen-Edit-2509-Multiple-Angles LoRA Simply drag the camera around 👇

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By far the best way to generate images at different angles is this 3D Camera Control node. Instead of describing angles with words, you just click the view you want. Simple UI, and the Qwen Image Edit 2511 multi-angle LoRA keeps things consistent across generations. Workflow below 👇

By far the best way to generate images at different angles is this 3D Camera Control node. Instead of describing angles with words, you just click the view you want. Simple UI, and the Qwen Image Edit 2511 multi-angle LoRA keeps things consistent across generations. Workflow below 👇

rob - comfyui

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I’ve just finished watching Apple’s visionOS sessions. Some of these concepts and the way Apple has implemented the design is mind blowing 🤯 Here are 5 examples that I loved: 1. Eye zoom. Just look at _where_ on an image you want to zoom in, and pinch your fingers apart

I’ve just finished watching Apple’s visionOS sessions. Some of these concepts and the way Apple has implemented the design is mind blowing 🤯 Here are 5 examples that I loved: 1. Eye zoom. Just look at _where_ on an image you want to zoom in, and pinch your fingers apart

Andrew Hart

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I found a mind-blowing Seedance 2.0 hack no one is talking about. Just upload the first and last frame of your story and prompt: "Show me what happens in between. USE MULTIPLE CAMERA ANGLES" It will generate the entire multi-shot video for you 🤯 10 examples 👇

I found a mind-blowing Seedance 2.0 hack no one is talking about. Just upload the first and last frame of your story and prompt: "Show me what happens in between. USE MULTIPLE CAMERA ANGLES" It will generate the entire multi-shot video for you 🤯 10 examples 👇

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Lindy AI just got an insane upgrade, Lindy Build🤯 This AI engineer just doesn't write code, it can "see" and tests is own work. Vibe coding will never be the same. 6 wild examples + how to try:

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the most realistic image model on the market is now free for everyone Higgsfield just dropped Soul at no cost and the internet's about to get flooded with wild content like this... Full thread with examples and prompts 🧵👇 1. CCTV caught in the act

the most realistic image model on the market is now free for everyone Higgsfield just dropped Soul at no cost and the internet's about to get flooded with wild content like this... Full thread with examples and prompts 🧵👇 1. CCTV caught in the act

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46,582 次观看 • 11 个月前

I saw this TikTok of someone using the iPhone 16's "Camera Control" button and as he's sliding his finger to zoom in at 5x, I'm just thinking how much easier it is to just tap on 5x zoom toggle within the camera's app. 💀 It's actually more of a hassle to use the camera button lol

I saw this TikTok of someone using the iPhone 16's "Camera Control" button and as he's sliding his finger to zoom in at 5x, I'm just thinking how much easier it is to just tap on 5x zoom toggle within the camera's app. 💀 It's actually more of a hassle to use the camera button lol

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Ecommerce creative will never be the same. This luxury glasses ad? Generated entirely on my phone—Pollo AI + Seedance 2.0 4K. No camera. No studio. No editing timeline. Just one product image → a cinematic commercial with premium motion and lighting. The gap between idea and ad is shrinking. Watch this 👇

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Lydia

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You are not ready for how quickly the content pipelines will change in 2026. This post isn't a gimmick. It's a heads up. This n8n automation alone can make you $50k/mo, and it's not a theory anymore. Arcads now lets you make any static image move like it was shot on camera. Subtle head turns, body sway, eye motion, emotion. Everything looks production-grade. Using Kling 2.6 motion control inside Arcads, you can turn any image into: → Influencer-style video clips → Smooth B-roll for ads → Emotional, lifelike portraits → High-end motion visuals in minutes Static creatives are about to feel very outdated. Here's the exact workflow: → Go to Arcads → Select Composer → Choose 'Animate Actor' → Upload a reference video → Upload a character image → Generate If you want to be a beast at content, media, attention, and distribution, this n8n should be worth thousands of dollars for you. But we're in the era of abundance, so I am giving it away for free. RT + comment "n8n" and I'll send it to you for free 📥

You are not ready for how quickly the content pipelines will change in 2026. This post isn't a gimmick. It's a heads up. This n8n automation alone can make you $50k/mo, and it's not a theory anymore. Arcads now lets you make any static image move like it was shot on camera. Subtle head turns, body sway, eye motion, emotion. Everything looks production-grade. Using Kling 2.6 motion control inside Arcads, you can turn any image into: → Influencer-style video clips → Smooth B-roll for ads → Emotional, lifelike portraits → High-end motion visuals in minutes Static creatives are about to feel very outdated. Here's the exact workflow: → Go to Arcads → Select Composer → Choose 'Animate Actor' → Upload a reference video → Upload a character image → Generate If you want to be a beast at content, media, attention, and distribution, this n8n should be worth thousands of dollars for you. But we're in the era of abundance, so I am giving it away for free. RT + comment "n8n" and I'll send it to you for free 📥

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Car-to-curb distance estimation using Ultralytics YOLO26. 🚗 In parking lots, knowing the exact distance between a vehicle and the curb can help prevent minor collisions and improve parking precision. In this demo, a car is detected and tracked, and the system calculates the distance from the curb in real time in pixel space, showcasing how computer vision can turn simple camera feeds into spatial awareness tools. Implementation details 👇 #cardistance #visionai #ROADSAFETYCONCERN

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Impossible Nature. My goal here was to generate images with a low quality aesthetic that are slightly overexposed and then apply handheld camera motion to it with focal shifts, quick zoom in/out + tracking. I just wanted to see how far I could push realism from an alternate universe. Nano Banana Pro let's you construct animals out of practically anything, it's wild. What do you think? Does it look believable? Images generated with Google's Nano Banana Pro. Image to video using Kling AI 2.5 1 - A crab made entirely out of seashells captured on the beach at night.

Impossible Nature. My goal here was to generate images with a low quality aesthetic that are slightly overexposed and then apply handheld camera motion to it with focal shifts, quick zoom in/out + tracking. I just wanted to see how far I could push realism from an alternate universe. Nano Banana Pro let's you construct animals out of practically anything, it's wild. What do you think? Does it look believable? Images generated with Google's Nano Banana Pro. Image to video using Kling AI 2.5 1 - A crab made entirely out of seashells captured on the beach at night.

Travis Davids

16,750 次观看 • 8 个月前

Every click preserves a moment that can never be repeated Generated with BudgetPixel AI Prompt 👇 A professional female wildlife photographer in a dense jungle, shot in true-to-life documentary style, early morning golden hour with soft mist, natural lighting, highly realistic environment. She moves carefully and silently through foliage with a high-end DSLR and telephoto lens, wearing neutral outdoor gear. Subtle handheld camera movement for realism.* She suddenly spots a Bengal tiger resting with two cubs in the wild. The scene feels authentic and undisturbed. She slowly crouches, stabilizes her camera, adjusts focus and aperture — extreme close-up of her finger pressing the shutter, capturing the moment. Cut to ultra-realistic telephoto shots: the tiger calmly watching, cubs playfully moving around, detailed fur, natural eye movement, dust particles in the air. No exaggeration — pure documentary realism. Include professional camera work: over-the-shoulder shot, tight lens framing, shallow depth of field, natural focus pulls, slight lens breathing. Add subtle slow-motion (only for key moments like cub movement and tiger head turn), maintaining realism.* Ambient audio: real jungle sounds — birds, insects, leaves rustling, distant animal calls, camera shutter clicks. No artificial effects. Ending: she quietly exhales in awe, small genuine smile, reviews the captured shots on camera screen. No dramatic acting — natural human reaction. Ultra-realistic, 4K, HDR, National Geographic/BBC Earth style, cinematic but grounded in reality.

Every click preserves a moment that can never be repeated Generated with BudgetPixel AI Prompt 👇 A professional female wildlife photographer in a dense jungle, shot in true-to-life documentary style, early morning golden hour with soft mist, natural lighting, highly realistic environment. She moves carefully and silently through foliage with a high-end DSLR and telephoto lens, wearing neutral outdoor gear. Subtle handheld camera movement for realism.* She suddenly spots a Bengal tiger resting with two cubs in the wild. The scene feels authentic and undisturbed. She slowly crouches, stabilizes her camera, adjusts focus and aperture — extreme close-up of her finger pressing the shutter, capturing the moment. Cut to ultra-realistic telephoto shots: the tiger calmly watching, cubs playfully moving around, detailed fur, natural eye movement, dust particles in the air. No exaggeration — pure documentary realism. Include professional camera work: over-the-shoulder shot, tight lens framing, shallow depth of field, natural focus pulls, slight lens breathing. Add subtle slow-motion (only for key moments like cub movement and tiger head turn), maintaining realism.* Ambient audio: real jungle sounds — birds, insects, leaves rustling, distant animal calls, camera shutter clicks. No artificial effects. Ending: she quietly exhales in awe, small genuine smile, reviews the captured shots on camera screen. No dramatic acting — natural human reaction. Ultra-realistic, 4K, HDR, National Geographic/BBC Earth style, cinematic but grounded in reality.

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Multi-person chaos + high-frequency camera shake = the ultimate death trap for AI video. But look at this. 🤯 BytePlus Seedance 2.0 - 4K just mastered the chaotic "fan-cam" look in native 4K. Even with dozens of fans jumping, hugging, and screaming in a wild crowd: - Hair strands stay individual and razor-sharp. - Jersey and scarf textures don’t blur into mush. - Human anatomy remains 100% intact through the movement. This isn’t just video generation. This is uncompromised motion clarity. BytePlus Lumina Enterprises and Developers can access the official API via BytePlus, and you can also use it directly on BytePlus Lumina.

Multi-person chaos + high-frequency camera shake = the ultimate death trap for AI video. But look at this. 🤯 BytePlus Seedance 2.0 - 4K just mastered the chaotic "fan-cam" look in native 4K. Even with dozens of fans jumping, hugging, and screaming in a wild crowd: - Hair strands stay individual and razor-sharp. - Jersey and scarf textures don’t blur into mush. - Human anatomy remains 100% intact through the movement. This isn’t just video generation. This is uncompromised motion clarity. BytePlus Lumina Enterprises and Developers can access the official API via BytePlus, and you can also use it directly on BytePlus Lumina.

Munawar Arshad

201,605 次观看 • 1 个月前

🔥 VIDU Multi-Entity Consistency Give Vidu 2/3 images and it’ll turn them into a video—it’s pure magic! ✨ Your own characters interacting with objects and in the exact environment you want! Ads, movies… endless possibilities, and this is just the beginning! Thanks @Viduforhuman The future is a carrot! 🥕 Plus, how about grabbing any frame from a Vidu-generated video "from scratch" and throwing it into another AI video or image tool to push your project even further? For now, check out the comment below: I scaled up a frame with Magnific.ai and fed it into Runway to create a dynamic shot using full camera control. But fingers crossed I can soon use #ReCapture by Bisho & team to generate new shots from the same video!

🔥 VIDU Multi-Entity Consistency Give Vidu 2/3 images and it’ll turn them into a video—it’s pure magic! ✨ Your own characters interacting with objects and in the exact environment you want! Ads, movies… endless possibilities, and this is just the beginning! Thanks @Viduforhuman The future is a carrot! 🥕 Plus, how about grabbing any frame from a Vidu-generated video "from scratch" and throwing it into another AI video or image tool to push your project even further? For now, check out the comment below: I scaled up a frame with Magnific.ai and fed it into Runway to create a dynamic shot using full camera control. But fingers crossed I can soon use #ReCapture by Bisho & team to generate new shots from the same video!

Hungry Donkey 🥕

37,561 次观看 • 1 年前

📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.

📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.

Zentrix⌚️

14,015 次观看 • 1 个月前