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Add dropdown for scheduler type

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This commit is contained in:
Kohaku-Blueleaf
2023-05-22 23:02:05 +08:00
parent 90ec557d60
commit e6269cba7f
6 changed files with 40 additions and 18 deletions
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19
modules/sd_samplers_kdiffusion.py
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@@ -44,6 +44,12 @@ sampler_extra_params = {
'sample_dpm_2': ['s_churn', 's_tmin', 's_tmax', 's_noise'],
}
k_diffusion_scheduler = {
'karras': k_diffusion.sampling.get_sigmas_karras,
'exponential': k_diffusion.sampling.get_sigmas_exponential,
'polyexponential': k_diffusion.sampling.get_sigmas_polyexponential
}
class CFGDenoiser(torch.nn.Module):
"""
@@ -305,10 +311,15 @@ class KDiffusionSampler:
if p.sampler_noise_scheduler_override:
sigmas = p.sampler_noise_scheduler_override(steps)
elif p.enable_karras:
sigma_max = p.sigma_max
sigma_min = p.sigma_min
rho = p.rho
sigmas = k_diffusion.sampling.get_sigmas_karras(n=steps, sigma_min=sigma_min, sigma_max=sigma_max, rho=rho, device=shared.device)
print(p.k_sched_type, p.sigma_min, p.sigma_max, p.rho)
sigmas_func = k_diffusion_scheduler[p.k_sched_type]
sigmas_kwargs = {
'sigma_min': p.sigma_min,
'sigma_max': p.sigma_max
}
if p.k_sched_type != 'exponential':
sigmas_kwargs['rho'] = p.rho
sigmas = sigmas_func(n=steps, **sigmas_kwargs, device=shared.device)
elif self.config is not None and self.config.options.get('scheduler', None) == 'karras':
sigma_min, sigma_max = (0.1, 10) if opts.use_old_karras_scheduler_sigmas else (self.model_wrap.sigmas[0].item(), self.model_wrap.sigmas[-1].item())