SVDQuant: A Novel 4-bit Post-Training Quantization Paradigm for Diffusion Models

The rapid scaling of diffusion models has led to memory usage and latency challenges, hindering their deployment, particularly in resource-constrained environments. Such models have manifested impressive ability in rendering highly-fidelity images but are demanding in both memory and computation, which limits their availability in consumer-grade devices and applications that require low latencies. Therefore, these challenges […]

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