Unverified50% confidenceDecision RuleExact time
Diffusion model backbone networks (UNet/DiT) have large parameter counts and can generally tolerate more aggressive quantization, while retaining higher precision (such as INT8 or even FP16) for the text encoder as a semantic entry point is usually more cost-effective.
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Long-term
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9/11/2026
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