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Add Simple Scheduler

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Andrey Efremov 2024-07-04 00:56:18 +03:00 committed by GitHub
parent a30b19dd55
commit 32fdf18203
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1 changed files with 9 additions and 0 deletions
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modules/sd_schedulers.py
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@ -76,6 +76,14 @@ def kl_optimal(n, sigma_min, sigma_max, device):
sigmas = torch.tan(step_indices / n * alpha_min + (1.0 - step_indices / n) * alpha_max) sigmas = torch.tan(step_indices / n * alpha_min + (1.0 - step_indices / n) * alpha_max)
return sigmas return sigmas
def simple_scheduler(n, sigma_min, sigma_max, inner_model, device):
sigs = []
ss = len(inner_model.sigmas) / n
for x in range(n):
sigs += [float(inner_model.sigmas[-(1 + int(x * ss))])]
sigs += [0.0]
return torch.FloatTensor(sigs).to(device)
schedulers = [ schedulers = [
Scheduler('automatic', 'Automatic', None), Scheduler('automatic', 'Automatic', None),
@ -86,6 +94,7 @@ schedulers = [
Scheduler('sgm_uniform', 'SGM Uniform', sgm_uniform, need_inner_model=True, aliases=["SGMUniform"]), Scheduler('sgm_uniform', 'SGM Uniform', sgm_uniform, need_inner_model=True, aliases=["SGMUniform"]),
Scheduler('kl_optimal', 'KL Optimal', kl_optimal), Scheduler('kl_optimal', 'KL Optimal', kl_optimal),
Scheduler('align_your_steps', 'Align Your Steps', get_align_your_steps_sigmas), Scheduler('align_your_steps', 'Align Your Steps', get_align_your_steps_sigmas),
Scheduler('simple', 'Simple', simple_scheduler, need_inner_model=True),
] ]
schedulers_map = {**{x.name: x for x in schedulers}, **{x.label: x for x in schedulers}} schedulers_map = {**{x.name: x for x in schedulers}, **{x.label: x for x in schedulers}}