Alapfogalmak
Efficient real-time image generation achieved through one-step training with SDXS models.
Kivonat
Recent advancements in diffusion models have led to superior image generation capabilities.
However, complex architectures and computational demands result in significant latency.
The SDXS approach introduces model miniaturization and reduced sampling steps to decrease latency.
Leveraging knowledge distillation, innovative training techniques enable efficient image-to-image translation.
Two models, SDXS-512 and SDXS-1024, achieve high inference speeds on a single GPU.
The methodology offers promising applications in image-conditioned control for efficient generation.
Statisztikák
SDXL (16 NFEs)
SDXS-1024
SDXL (32 NFEs)
Vega (32 NFEs)
Idézetek
"Despite their superior performance, diffusion models are characterized by complex architectures and substantial computational demands."
"Our proposed method can train ControlNet efficiently for image-to-image translation."