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1070.4
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seawolf
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seawolf2357
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Heartsync/Nano-Banana
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๐ Nano Banana + Video: AI Image Style Transfer & Video Generation Tool ๐จ Key Features 1๏ธโฃ Image Style Transfer https://huggingface.co/spaces/ginigen/Nano-Banana-Video ๐ธ Upload up to 2 images for style fusion โจ High-quality image generation with Google Nano Banana model ๐ญ Apply desired styles with text prompts 2๏ธโฃ Video Generation ๐ฌ Convert generated images to videos ๐ Maintain original aspect ratio option โฑ๏ธ Adjustable duration (1-4 seconds) ๐ How to Use Step-by-Step Guide Step 1: Image Generation ๐ผ๏ธ Enter style description Upload 1-2 images (optional) Click "Generate Magic โจ" Step 2: Video Creation ๐น Send generated image to video tab Set animation style Generate video! ๐ก Use Cases ๐๏ธ Transform landscape photos into artistic masterpieces ๐ค Bring static images to life ๐จ Mix styles from two different images ๐ฑ Create short videos for social media โก Tech Stack Google Nano Banana Stable Video Diffusion Gradio Replicate API #AIVideoGenerator #ImageToVideoConverter #StyleTransferAI #GoogleNanoBanana #StableVideoDiffusion #AIAnimationTool #TextToVideo #ImageAnimationSoftware #AIArtGenerator #VideoCreationTool #MachineLearningVideo #DeepLearningAnimation #HuggingFaceSpaces #ReplicateAPI #GradioApplication #ZeroGPUComputing #AIStyleMixing #AutomatedVideoProduction #NeuralStyleTransfer #AIPoweredCreativity
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๐งฌ DNA Diffusion Suite: AI-Powered Revolution in Life Science Research ๐ Transformative Innovation Through AI Technology DNA Diffusion Suite is a next-generation platform that leverages cutting-edge Diffusion models to generate biologically meaningful DNA sequences. By reducing sequence design time from weeks to mere seconds, we're revolutionizing research productivity and accelerating scientific discovery. https://huggingface.co/spaces/VIDraft/DNA-Diffusion ๐ก Real-World Benefits of AI Technology ๐ฏ Research Acceleration Instant Hypothesis Testing: Pre-validate experimental designs with AI-generated sequence variants Cost Reduction: Test hundreds of sequences virtually before expensive synthesis Time Efficiency: 1000x faster sequence generation compared to manual design ๐ง Intelligent Sequence Optimization Cell-Type Specific Learning: AI trained on real ChIP-seq data from K562, GM12878, and HepG2 cells Context-Aware Generation: Fine-tune biological context with precision Guidance Scale control Automated Pattern Discovery: Detect complex sequence motifs that humans might miss ๐ Educational Innovation Real-Time Feedback: Students see immediate results while learning DNA structure and function Unlimited Practice: Endless experimentation without cost constraints Visual Understanding: Transform abstract concepts into tangible 3D experiences โก Technical Excellence ๐ง Enterprise-Grade Stability Automatic Fallback: Seamless CPU mode switching in non-GPU environments Robust Error Recovery: Comprehensive exception handling ensures service continuity Auto-Scaling: Leveraging Hugging Face Spaces infrastructure for dynamic scaling ๐ Cloud-Native Architecture Containerized: Docker-based consistent deployment environment Microservices: Independent module updates without system downtime RESTful API: Seamless integration with external systems #AI #Diffusion #DNA #Bioinformatics #DeepLearning #WebGL #CloudNative #Research #Education #Innovation #OpenSource
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seawolf2357/autotrain-annyeong
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Oct 2, 2024
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