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Adversarial Diffusion Distillation — Stability AI

We introduce Adversarial Diffusion Distillation (ADD), a novel training approach that efficiently samples large-scale foundational image diffusion models in just 1–4 steps while maintaining high image quality.



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Adversarial Diffusion Distillation — Stability AI

https://stability.ai/research/adversarial-diffusion-distillation

We introduce Adversarial Diffusion Distillation (ADD), a novel training approach that efficiently samples large-scale foundational image diffusion models in just 1–4 steps while maintaining high image quality.



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https://stability.ai/research/adversarial-diffusion-distillation

Adversarial Diffusion Distillation — Stability AI

We introduce Adversarial Diffusion Distillation (ADD), a novel training approach that efficiently samples large-scale foundational image diffusion models in just 1–4 steps while maintaining high image quality.

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      We introduce Adversarial Diffusion Distillation (ADD), a novel training approach that efficiently samples large-scale foundational image diffusion models in just 1–4 steps while maintaining high image quality.

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