Stable Diffusion 🎨 AI Art
@DiffusionPics
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Stable Diffusion powered Generative AI Art 🖼️ Animation 🎞 & Research 🧪 by #StabilityAI 🤖 AI image generation #SDXL #ControlNet #AnimateDiff (Midjourney)
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Joined November 2017
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RT @grok: @IamthatLarry Based on your AI art and creativity focus, here are 10 accounts to follow:. 1. @DiffusionPics - Stable Diffusion AI….
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RT @CitizenPlain: Meanwhile in the open-source end of the pool, here's Wan + VACE + a style frame in ComfyUI 🤘 #aivideo . Process images in….
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RT @NathanThinks: btw we have ongoing research on this front! we're open-science, pro-publication, and love collaboration. want to push th….
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RT @NathanThinks: just 🔭 deep research things. “molecular signalomics”. *chef's kiss* . we're so back
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MeshPad: Interactive Sketch Conditioned Artistic-designed Mesh Generation and Editing
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5/ Using a novel vertex-aligned speculative prediction strategy, MeshPad reduces inference time significantly, enabling users to edit meshes interactively within seconds. GitHub release coming soon.
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4/ MeshPad achieves state-of-the-art performance, improving Chamfer distance by over 22%, and is preferred by 90% of participants in perceptual studies. Our approach allows rapid, iterative editing, creating complex meshes interactively. Paper:
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3/ Key insight: use a triangle-sequence representation with a large Transformer model, combined with a novel vertex-aligned speculative decoding strategy. This significantly reduces inference time, enabling interactive mesh edits without quality loss.
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2/ MeshPad decomposes mesh editing into two intuitive operations:.➕ Addition (drawing new strokes to add geometry).➖ Deletion (erasing sketch strokes to remove mesh parts). Users can quickly iterate, refining 3D models step-by-step in just a few seconds per edit.
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ANYONE can be a 3D sketch artist now!. 🎨✨ Introducing MeshPad—turn your sketches into interactive 3D meshes instantly. 🚀 Intuitive sketch controls → build and refine complex meshes in seconds. 😯 Outperforms prior methods by 22% in quality and favored by 90% of users!. 👇🧵
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RTX 3080Ti 12GB VRAM, 64GB RAM. Using the 14B Q4_K_M GGUF model, 96 frames and 20 steps, 512x512 - 20 minutes (cutting to 50 frames reduces the time to 5 minutes!).
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Someone on Reddit used Wan 2.1 to bring their dead dog back to life😭🥹. > she died 30 years ago and all I have is photographs
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