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Transform your jewellery ecommerce experience with seamless integrations that drive trust, efficiency, and conversions ✨💎 From real-time diamond & gemstone inventory to interactive customization tools. #Ecommerce# #JewelleryTech# #DigitalTransformation# #UXDesign# #Nimblechapps#
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We teamed up with Red Bull to redesign the website for one of the most loved soft drinks in the world. The ORGANICS by Red bull. We are happy to be a part of their new digital direction! Take a look here:  #uidesign# #uxdesign# #design# #creativestudio#
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Wow...there is a lot to learn about ux design in the mobile space...thankfully there is a ton of info out there...loving stuff from @lukew
inclusionAI open-sources the Ming-Image-0.1-Design family, two complementary 6B models for visual-design workflows.📜 MIT License. 🤖 🤖 🏆 Design ranks #1# among open-weight models on the Artificial Analysis UI/UX Design leaderboard. Layer leads all 12 evaluated Crello settings and runs 4.3× faster than the evaluated 20B open-weight baseline. 🎨 Design generates complete UIs, dashboards, infographics, and posters at up to 2048×2048, with strong text rendering and native transparent RGBA output. 🧩 Layer decomposes flattened graphics into independently editable RGBA layers while preserving the original aspect ratio. 🧠 The pipeline combines multimodal prompt conditioning, a diffusion transformer, and a 4-channel VAE. Layer adds multi-frame generation for separate layer outputs.
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I’m looking to buy coding traces from designer who are very good at promoting AI to design beautiful things so I can learn from you. Please contact me. Just need 1-2 best designer who are very great prompting ai to great visual/UX design.
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Ant Group has open-sourced the Ming-Image-0.1-Design family. Two 6B models: • Ming-Image-0.1-Design — text-to-image for UIs, infographics, posters, and other text-rich designs. It can also generate transparent RGBA assets. • Ming-Image-0.1-Design-Layer — decomposes a flattened design into independently editable RGBA layers. Ant also open-sourced two Agent Skills: • Ling UI Design Skill • Image-to-Editable-PPT Skill Ming-Image-0.1-Design ranks #1# among open-weight models on Artificial Analysis’s UI/UX Design leaderboard.
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I am building my own coding harness. Yemrecode. Building upon the opensource codebase of OpenCode. My harness has a completely different approach than others: - I pick multiple LLMs at once and the harness will treat them as one single entity. - I set a /yunus-goal and this goal is controlled by agents where some are responsible for demanding proof and some are implementors. - I can run a swarm of various LLMs meanwhile pursuing a yunus-goal with each having their own swarm. - I can toggle YOLO mode anytime and regardless of its state, the agents will never be able to alter Yemrecode. Many more abilities. Including: Automatic anti-ai-slop controller that detects slop UI/UX design and prevents it from being added to code and demands that specific agent to remake it properly. Path detector works similarly but for detecting the intent of the agent when it tries to write to a wrong path. There is also a version control system that auto inits a git repo when code length in the folder exceeds a thousand lines in total (indicating we may want to track the changes as this may not be a one time trial and junk code). many other abilities coming soon. I am not publishing my harness yet, but after a few months of testing I may do that.
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