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reacted to openfree's post with ๐Ÿ”ฅ 7 days ago
๐ŸŽฐ DNA CASINO: Hit the Genetic Jackpot! ๐Ÿงฌ ๐ŸŽฒ When Biotech Meets Vegas = ?? Hey there! Today I'm thrilled to introduce something truly extraordinary. We've transformed DNA-Diffusion into a full-blown casino slot machine - welcome to DNA CASINO! ๐ŸŽŠ ๐ŸŽฏ What's This All About? ๐Ÿงฌ Generate 200bp DNA Regulatory Sequences: AI-powered generation of cell-type specific synthetic biology sequences ๐ŸŽฐ Slot Machine UI: Watch each nucleotide (A,T,C,G) spin like real casino reels! ๐Ÿ”ฌ Real-time Protein Analysis: Instantly translate generated DNA to protein and get AI-powered structure/function analysis ๐Ÿ’ซ Key Features 1๏ธโƒฃ Choose Your Cell Type (Like Casino Chips!) ๐ŸŸข K562 - Leukemia cell line ๐Ÿ”ต GM12878 - Lymphoblastoid cell line ๐ŸŸก HepG2 - Liver cancer cell line 2๏ธโƒฃ Pull the Lever to Begin! Just like a real slot machine - pull the lever or hit SPIN and watch 200 nucleotides whirl in spectacular fashion! ๐ŸŽช 3๏ธโƒฃ AI-Powered Protein Analysis DNA โ†’ Protein translation Structure/function prediction via vidraft/gemma-3-r1984-27b (ranked #2 in medical reliability on FACTS Grounding Leaderboard) Cell-type specific insights ๐Ÿ› ๏ธ Tech Stack python๐ŸŽจ Frontend: HTML/CSS/JS (Pure vanilla goodness!) ๐Ÿง  Backend: Gradio + DNA-Diffusion model ๐Ÿค– AI Analysis: vidraft/gemma-3-r1984-27b โšก GPU Acceleration: Hugging Face Spaces GPU ๐ŸŽฎ How to Play Pick your cell-type chip ๐ŸŽฏ Pull the lever or hit SPIN! ๐ŸŽฐ Watch your DNA sequence generate โœจ Check out the protein analysis ๐Ÿ”ฌ ๐ŸŒŸ What Makes It Special Immersive casino theme: Neon lights, glowing effects, and that iconic 777 lever! Scientific accuracy: Real codon tables, precise protein translation Educational value: Learn DNA-protein relationships the fun way ๐Ÿš€ Try It Now! https://huggingface.co/spaces/VIDraft/DNA-CASINO @openfree
reacted to ginipick's post with ๐Ÿ‘ 9 days ago
๐ŸŽจ Flux-Kontext FaceLORA - AI Portrait Style Transfer ๐ŸŒŸ Introduction Transform your photos into masterpieces! Flux-Kontext FaceLORA is an innovative AI-powered tool that converts portrait photos into various artistic styles using cutting-edge technology. https://huggingface.co/spaces/ginigen/Flux-Kontext-FaceLORA โœจ Key Features ๐Ÿ“ธ Easy to Use: Upload photo โ†’ Select style โ†’ Click Generate! ๐ŸŽจ 7 Art Styles: Famous painter styles including Van Gogh, Monet, Renoir ๐Ÿค– Face Preservation: AI maintains your facial features while transforming the style โšก Fast Generation: Get results in seconds with ZeroGPU support ๐ŸŽฏ Custom LoRA: Use any LoRA model from HuggingFace ๐Ÿ–ผ๏ธ Available Styles ๐Ÿฏ Studio Ghibli - Whimsical anime art style ๐ŸŒŠ Winslow Homer - American realist watercolor ๐ŸŒป Van Gogh - Post-impressionist with swirling brushstrokes ๐ŸŽ Paul Cรฉzanne - Geometric post-impressionist structure ๐ŸŒธ Renoir - Impressionist with soft luminous light ๐Ÿชท Claude Monet - Impressionist light and color โš”๏ธ Fantasy Art - Epic magical character portraits ๐Ÿš€ How to Use 1๏ธโƒฃ Upload your portrait photo 2๏ธโƒฃ Select an art style from gallery 3๏ธโƒฃ Add optional description 4๏ธโƒฃ Click Generate โœจ button! ๐Ÿ’ก Pro Tips ๐ŸŽญ Front-facing photos work best ๐ŸŽจ Adjust Style Strength for transformation intensity ๐ŸŽฒ Use Randomize seed for varied results ๐Ÿ“ Add descriptions for more detailed outputs ๐Ÿ› ๏ธ Tech Stack Model: FLUX.1-Kontext-dev by Black Forest Labs LoRA: Community-created style adapters Infrastructure: Hugging Face Spaces + ZeroGPU ๐ŸŽ‰ Start Creating Now! Create your unique AI portrait and share it on social media! #FluxKontextFaceLORA #AIArt #PortraitTransfer
reacted to seawolf2357's post with ๐Ÿ”ฅ 15 days ago
๐Ÿš€ VEO3 Real-Time: Real-time AI Video Generation with Self-Forcing ๐ŸŽฏ Core Innovation: Self-Forcing Technology VEO3 Real-Time, an open-source project challenging Google's VEO3, achieves real-time video generation through revolutionary Self-Forcing technology. https://huggingface.co/spaces/Heartsync/VEO3-RealTime โšก What is Self-Forcing? While traditional methods require 50-100 steps, Self-Forcing achieves the same quality in just 1-2 steps. Through self-correction and rapid convergence, this Distribution Matching Distillation (DMD) technique maintains quality while delivering 50x speed improvement. ๐Ÿ’ก Technical Advantages of Self-Forcing 1. Extreme Speed Generates 4-second videos in under 30 seconds, with first frame streaming in just 3 seconds. This represents 50x faster performance than traditional diffusion methods. 2. Consistent Quality Maintains cinematic quality despite fewer steps, ensures temporal consistency, and minimizes artifacts. 3. Efficient Resource Usage Reduces GPU memory usage by 70% and heat generation by 30%, enabling smooth operation on mid-range GPUs like RTX 3060. ๐Ÿ› ๏ธ Technology Stack Synergy VEO3 Real-Time integrates multiple technologies organically around Self-Forcing DMD. Self-Forcing DMD handles ultra-fast video generation, Wan2.1-T2V-1.3B serves as the high-quality video backbone, PyAV streaming enables real-time transmission, and Qwen3 adds intelligent prompt enhancement for polished results. ๐Ÿ“Š Performance Comparison Traditional methods require 50-100 steps, taking 2-5 minutes for the first frame and 5-10 minutes total. In contrast, Self-Forcing needs only 1-2 steps, delivering the first frame in 3 seconds and complete videos in 30 seconds while maintaining equal quality.๐Ÿ”ฎ Future of Self-Forcing Our next goal is real-time 1080p generation, with ongoing research to achieve
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