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Alibaba Group Tongyi Lab WanxAI Wan2.1 – open source model
Read more: Alibaba Group Tongyi Lab WanxAI Wan2.1 – open source model👍 SOTA Performance: Wan2.1 consistently outperforms existing open-source models and state-of-the-art commercial solutions across multiple benchmarks.
🚀 Supports Consumer-grade GPUs: The T2V-1.3B model requires only 8.19 GB VRAM, making it compatible with almost all consumer-grade GPUs. It can generate a 5-second 480P video on an RTX 4090 in about 4 minutes (without optimization techniques like quantization). Its performance is even comparable to some closed-source models.
🎉 Multiple tasks: Wan2.1 excels in Text-to-Video, Image-to-Video, Video Editing, Text-to-Image, and Video-to-Audio, advancing the field of video generation.
🔮 Visual Text Generation: Wan2.1 is the first video model capable of generating both Chinese and English text, featuring robust text generation that enhances its practical applications.
💪 Powerful Video VAE: Wan-VAE delivers exceptional efficiency and performance, encoding and decoding 1080P videos of any length while preserving temporal information, making it an ideal foundation for video and image generation.
https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files
https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/example%20workflows_Wan2.1
https://huggingface.co/Wan-AI/Wan2.1-T2V-14B
https://huggingface.co/Kijai/WanVideo_comfy/tree/main
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9 Key Machine Learning Algorithms Explained in Plain English
Read more: 9 Key Machine Learning Algorithms Explained in Plain Englishwww.freecodecamp.org/news/a-no-code-intro-to-the-9-most-important-machine-learning-algorithms-today/
Recommendation Systems
Linear Regression
Logistic Regression
K-Nearest Neighbors
Decision Trees and Random Forests
Support Vector Machines
K-Means Clustering
Principal Component Analysis
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NVidia Physical AI – Collection of commercial-grade datasets for physical AI developers
Read more: NVidia Physical AI – Collection of commercial-grade datasets for physical AI developershttps://huggingface.co/collections/nvidia/physical-ai-67c643edbb024053dcbcd6d8
🔹 15TB of high-quality, standardized synthetic data
🔹 320,000+ trajectories for robotics training
🔹 1,000+ OpenUSD assets, including a SimReady collection
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