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LinkedIn, 18k employees, does such a poor job with its image upload function (core feature). Recomputes the full image on every single slider change, a proper flash of empty content. The kind of frontend engineers (no product sense) to lose job in the AI world.

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Mehul Mohan

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29,977 görüntüleme • 1 yıl önce •via X (Twitter)

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Your product listings don't have to stay static. I uploaded a sunglasses product image to Pollo AI Commerce Studio and turned it into a premium marketing video in minutes. What impressed me most was the quality of the final output. The sunglasses remained consistent throughout every scene, preserving the original frame shape, lens color, and design details without the usual AI distortions. The product looked nearly identical to the original image from start to finish. No prompt writing. No editing software. No manual tweaking. Just upload, choose a template, and generate.
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Your product listings don't have to stay static. I uploaded a sunglasses product image to Pollo AI Commerce Studio and turned it into a premium marketing video in minutes. What impressed me most was the quality of the final output. The sunglasses remained consistent throughout every scene, preserving the original frame shape, lens color, and design details without the usual AI distortions. The product looked nearly identical to the original image from start to finish. No prompt writing. No editing software. No manual tweaking. Just upload, choose a template, and generate.

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Creating a professional product listing? No photoshoot needed. Just one product image — Pollo AI does the rest. Product Listing Image Set transforms it into a full e-commerce suite: hero shots, detail close-ups, and marketing-ready visuals. Less editing. Less effort. Ready in seconds.
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Creating a professional product listing? No photoshoot needed. Just one product image — Pollo AI does the rest. Product Listing Image Set transforms it into a full e-commerce suite: hero shots, detail close-ups, and marketing-ready visuals. Less editing. Less effort. Ready in seconds.

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AI is so trippy. This entire scene, including the exterior, was created from a single image of the ovens in the interior. This is a multi-view reconstruction, not a video. No v2v used. Prompt image in reply.
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AI is so trippy. This entire scene, including the exterior, was created from a single image of the ovens in the interior. This is a multi-view reconstruction, not a video. No v2v used. Prompt image in reply.

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Every arena has its fighters. Every network has its engineers. Meet Alex - Slayer of latency. Destroyer of middleware. Software Engineer at Subzero Labs, forging Rialo’s core, connecting web3 to the real world in a secure, performant, & dev-friendly way.
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Every arena has its fighters. Every network has its engineers. Meet Alex - Slayer of latency. Destroyer of middleware. Software Engineer at Subzero Labs, forging Rialo’s core, connecting web3 to the real world in a secure, performant, & dev-friendly way.

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🎥 Comparing AI video models: Image to video • Gen-3 • Kling AI 1.5 • Hailuo MiniMax • Luma Dream Machine I used a Midjourney image in each model 4 times with no text prompt. This type of image is difficult for the AI to separate the subject in the front from the people behind her - they tend to move the group as if they are a single unit. But the results were interesting, as you can see! I chose my favorite results, below.

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Gen-3 Alpha Image to Video now supports using an image as either the first or last frame of your video generation. This feature can be used on its own or combined with a text prompt for additional guidance. All examples below demonstrate using an image as the last frame. (1/5)
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Gen-3 Alpha Image to Video now supports using an image as either the first or last frame of your video generation. This feature can be used on its own or combined with a text prompt for additional guidance. All examples below demonstrate using an image as the last frame. (1/5)

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Google Nano Banana 🍌 is crazy good at static ads... But it only generates one image at a time. This n8n AI Agent helps you generate 1000s of winning ad variations in minutes, fully automated. → Built with the latest Nano Banana image model → Creates static ad images in bulk → Upload product reference image via n8n form → OpenAI Vision analyzes your product automatically → AI Agent generates custom image prompts (you choose how many) → Nano Banana creates static ad images on demand → Images auto-stored in Box. com for instant access You can request 50, 100, or even 1000 ad variations with one upload. Just specify the number in the form → AI does everything else. Built 100% in n8n. Zero manual work after setup. Want access to the template? → Like this post → Comment "ADS" And I'll send it right over.

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GPT-Image-2 can be used to make full panoramas 🤯 Prompt for a "360 equirectangular image" of a specific place - I asked for Akihibara at night. Then I had my OpenClaw agent build a viewer in the browser so I could easily upload the image, pan around, and zoom.

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🧵 Go from nature to code with Gemini 2.5 Pro 🍃 Each of these were created with the same prompt: Transform this image into a code-based representation of its natural behavior. Original input image on the left. Gemini output on the right.

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This demo was generated from a single image of a lipstick. I gave Wizstar AI a single lipstick photo, and it built the whole ugc ad: script, scene, model, product usage, and final video. no shoot required. here’s exactly how it works ↓

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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)”

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We ran a blind head-to-head on the leading image models for one specific job: &gt;product detail shots. Seedream 5.0 Lite (BytePlus, ByteDance) beat the flagship models from Google, OpenAI, and Black Forest Labs. It won 2 out of 3 times.

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Mathematics dance. "The mathematician's job is to transport us to new seas, while deepening the waters and lengthening horizons." ~Clifford A. Pickover, "Wonders of Numbers," Oxford University Press Image circulating widely on the Web, e.g.,

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Mars is a dusty place – but every two years, the dust settles. The Perseverance rover's imaging team took advantage of this moment to capture one of the sharpest panoramas of its mission so far! Explore the full image:

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Create a short film like this in just 1 minute with GPT Image 2.0 + Seedance 2.0. GPT Image 2.0 can naturally combine multiple photos into one single image, while Seedance 2.0 can use that image as a reference to automatically separate the scenes, generate a coherent video sequence, and add suitable background music. This workflow greatly improves the overall creative efficiency. When using this method, simply provide the merged image as a reference for Seedance 2.0 and briefly describe each scene with a simple prompt. This can significantly increase the success rate of the final video. All of the above was created on GPT Image Prompt: Seedance Prompt:

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Having a few hours this afternoon after #CVPR2026? Consider visiting Red Rocks 20 minutes outside of Denver! For some inspiration, here's a world processed by SpAItial AI Echo-2 HQ model from a single phone image! Link to the world in🧵

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