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add Uniform scheduler

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AUTOMATIC1111 2024-03-20 10:27:32 +03:00
parent 25cd53d775
commit 76f8436bfa
1 changed files with 5 additions and 0 deletions
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5
modules/sd_schedulers.py
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@ -16,6 +16,10 @@ class Scheduler:
aliases: list = None aliases: list = None
def uniform(n, sigma_min, sigma_max, inner_model, device):
return inner_model.get_sigmas(n)
def sgm_uniform(n, sigma_min, sigma_max, inner_model, device): def sgm_uniform(n, sigma_min, sigma_max, inner_model, device):
start = inner_model.sigma_to_t(torch.tensor(sigma_max)) start = inner_model.sigma_to_t(torch.tensor(sigma_max))
end = inner_model.sigma_to_t(torch.tensor(sigma_min)) end = inner_model.sigma_to_t(torch.tensor(sigma_min))
@ -29,6 +33,7 @@ def sgm_uniform(n, sigma_min, sigma_max, inner_model, device):
schedulers = [ schedulers = [
Scheduler('automatic', 'Automatic', None), Scheduler('automatic', 'Automatic', None),
Scheduler('uniform', 'Uniform', uniform, need_inner_model=True),
Scheduler('karras', 'Karras', k_diffusion.sampling.get_sigmas_karras, default_rho=7.0), Scheduler('karras', 'Karras', k_diffusion.sampling.get_sigmas_karras, default_rho=7.0),
Scheduler('exponential', 'Exponential', k_diffusion.sampling.get_sigmas_exponential), Scheduler('exponential', 'Exponential', k_diffusion.sampling.get_sigmas_exponential),
Scheduler('polyexponential', 'Polyexponential', k_diffusion.sampling.get_sigmas_polyexponential, default_rho=1.0), Scheduler('polyexponential', 'Polyexponential', k_diffusion.sampling.get_sigmas_polyexponential, default_rho=1.0),