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One-step Diffusion Models with f-Divergence Distribution Matching
Paper • 2502.15681 • Published • 8 -
Adversarial Diffusion Distillation
Paper • 2311.17042 • Published • 3 -
Consistency Models
Paper • 2303.01469 • Published • 8 -
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Paper • 2307.01952 • Published • 90
Collections
Discover the best community collections!
Collections including paper arxiv:2503.09641
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Tongyi-MAI/Z-Image-Turbo
Text-to-Image • Updated • 1.01M • • 4.15k -
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Paper • 2503.09641 • Published • 42 -
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers
Paper • 2410.10629 • Published • 12 -
Efficient Distillation of Classifier-Free Guidance using Adapters
Paper • 2503.07274 • Published • 4
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DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
Paper • 2503.15265 • Published • 46 -
What matters when building vision-language models?
Paper • 2405.02246 • Published • 103 -
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Paper • 2503.09641 • Published • 42
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SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
Paper • 2501.18427 • Published • 24 -
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
Paper • 2502.20388 • Published • 16 -
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Paper • 2503.09641 • Published • 42 -
Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation
Paper • 2503.16430 • Published • 34
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SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Paper • 2503.09641 • Published • 42 -
Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield
Paper • 2511.22677 • Published • 33 -
One-step Diffusion with Distribution Matching Distillation
Paper • 2311.18828 • Published • 3 -
Improved Distribution Matching Distillation for Fast Image Synthesis
Paper • 2405.14867 • Published • 15
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SanaSprint
👁417Ultra fast high quality image generation
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SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Paper • 2503.09641 • Published • 42 -
Efficient-Large-Model/Sana_Sprint_1.6B_1024px
Text-to-Image • Updated • 20 • 17 -
Efficient-Large-Model/Sana_Sprint_0.6B_1024px
Text-to-Image • Updated • 10 • 7
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CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation
Paper • 2502.08639 • Published • 43 -
TransMLA: Multi-head Latent Attention Is All You Need
Paper • 2502.07864 • Published • 57 -
Next Block Prediction: Video Generation via Semi-Autoregressive Modeling
Paper • 2502.07737 • Published • 9 -
Enhance-A-Video: Better Generated Video for Free
Paper • 2502.07508 • Published • 21
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1.58-bit FLUX
Paper • 2412.18653 • Published • 86 -
Region-Adaptive Sampling for Diffusion Transformers
Paper • 2502.10389 • Published • 53 -
One-step Diffusion Models with f-Divergence Distribution Matching
Paper • 2502.15681 • Published • 8 -
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute
Paper • 2502.20126 • Published • 19
-
One-step Diffusion Models with f-Divergence Distribution Matching
Paper • 2502.15681 • Published • 8 -
Adversarial Diffusion Distillation
Paper • 2311.17042 • Published • 3 -
Consistency Models
Paper • 2303.01469 • Published • 8 -
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Paper • 2307.01952 • Published • 90
-
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Paper • 2503.09641 • Published • 42 -
Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield
Paper • 2511.22677 • Published • 33 -
One-step Diffusion with Distribution Matching Distillation
Paper • 2311.18828 • Published • 3 -
Improved Distribution Matching Distillation for Fast Image Synthesis
Paper • 2405.14867 • Published • 15
-
Tongyi-MAI/Z-Image-Turbo
Text-to-Image • Updated • 1.01M • • 4.15k -
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Paper • 2503.09641 • Published • 42 -
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers
Paper • 2410.10629 • Published • 12 -
Efficient Distillation of Classifier-Free Guidance using Adapters
Paper • 2503.07274 • Published • 4
-
DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
Paper • 2503.15265 • Published • 46 -
What matters when building vision-language models?
Paper • 2405.02246 • Published • 103 -
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Paper • 2503.09641 • Published • 42
-
SanaSprint
👁417Ultra fast high quality image generation
-
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Paper • 2503.09641 • Published • 42 -
Efficient-Large-Model/Sana_Sprint_1.6B_1024px
Text-to-Image • Updated • 20 • 17 -
Efficient-Large-Model/Sana_Sprint_0.6B_1024px
Text-to-Image • Updated • 10 • 7
-
CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation
Paper • 2502.08639 • Published • 43 -
TransMLA: Multi-head Latent Attention Is All You Need
Paper • 2502.07864 • Published • 57 -
Next Block Prediction: Video Generation via Semi-Autoregressive Modeling
Paper • 2502.07737 • Published • 9 -
Enhance-A-Video: Better Generated Video for Free
Paper • 2502.07508 • Published • 21
-
SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
Paper • 2501.18427 • Published • 24 -
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
Paper • 2502.20388 • Published • 16 -
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Paper • 2503.09641 • Published • 42 -
Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation
Paper • 2503.16430 • Published • 34
-
1.58-bit FLUX
Paper • 2412.18653 • Published • 86 -
Region-Adaptive Sampling for Diffusion Transformers
Paper • 2502.10389 • Published • 53 -
One-step Diffusion Models with f-Divergence Distribution Matching
Paper • 2502.15681 • Published • 8 -
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute
Paper • 2502.20126 • Published • 19