remove not related code
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@ -41,7 +41,6 @@ def list_optimizers():
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optimizers.clear()
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optimizers.extend(new_optimizers)
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print(optimizers)
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def apply_optimizations():
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@ -312,7 +312,6 @@ class KDiffusionSampler:
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if p.sampler_noise_scheduler_override:
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sigmas = p.sampler_noise_scheduler_override(steps)
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elif p.enable_custom_k_sched:
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print(p.k_sched_type, p.sigma_min, p.sigma_max, p.rho)
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sigmas_func = k_diffusion_scheduler[p.k_sched_type]
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sigmas_kwargs = {
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'sigma_min': p.sigma_min,
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