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kandinskylab
Kandinsky 5.0: A family of diffusion models for Video & Image generation
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Kandinsky 5.0: A family of diffusion models for Video & Image generation
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rCM & Causal-rCM: Leading and Unified Algorithms/Infrastructures for Bidirectional/Autoregressive Video Diffusion Distillation at Scale
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[ICLR2026] SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
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HunyuanImage-2.1: An Efficient Diffusion Model for High-Resolution (2K) Text-to-Image Generation
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[ICLR 2024] SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
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UniAnimate-DiT: Human Image Animation with Large-Scale Video Diffusion Transformer
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[CVPR 2024] GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models
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Benchmark diffusion models faster. Automate evals, seeds, and metrics for reproducible results.
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Generative AI Image and Video Toolset with GANs and Diffusion for Real-World Applications
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[ICML 2024] MagicPose(also known as MagicDance): Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
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a CLI utility/library for AnimateDiff stable diffusion generation
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[ICML 2026] Official implementation for "DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion".
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FantasyPortrait: Enhancing Multi-Character Portrait Animation with Expression-Augmented Diffusion Transformers
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[SIGGRAPH Asia 2024] ReVersion: Diffusion-Based Relation Inversion from Images
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[SIGGRAPH Asia 25] Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
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A fully self-contained, offline AI image generation studio for Windows. Runs Stable Diffusion (Safetensors/GGUF) locally with zero manual setup. Auto-configures CUDA for…