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add karras scheduling variants

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C43H66N12O12S2 2022-10-05 14:30:57 +03:00 committed by AUTOMATIC1111
parent c1a068ed0a
commit 71901b3d3b
1 changed files with 13 additions and 0 deletions
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13
modules/sd_samplers.py
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@ -26,6 +26,17 @@ samplers_k_diffusion = [
('DPM adaptive', 'sample_dpm_adaptive', ['k_dpm_ad']),
]
if opts.show_karras_scheduler_variants:
k_diffusion.sampling.sample_dpm_2_ka = k_diffusion.sampling.sample_dpm_2
k_diffusion.sampling.sample_dpm_2_ancestral_ka = k_diffusion.sampling.sample_dpm_2_ancestral
k_diffusion.sampling.sample_lms_ka = k_diffusion.sampling.sample_lms
samplers_k_diffusion_ka = [
('LMS K Scheduling', 'sample_lms_ka', ['k_lms_ka']),
('DPM2 K Scheduling', 'sample_dpm_2_ka', ['k_dpm_2_ka']),
('DPM2 a K Scheduling', 'sample_dpm_2_ancestral_ka', ['k_dpm_2_a_ka']),
]
samplers_k_diffusion.extend(samplers_k_diffusion_ka)
samplers_data_k_diffusion = [
SamplerData(label, lambda model, funcname=funcname: KDiffusionSampler(funcname, model), aliases)
for label, funcname, aliases in samplers_k_diffusion
@ -345,6 +356,8 @@ class KDiffusionSampler:
if p.sampler_noise_scheduler_override:
sigmas = p.sampler_noise_scheduler_override(steps)
elif self.funcname.endswith('ka'):
sigmas = k_diffusion.sampling.get_sigmas_karras(n=steps, sigma_min=0.1, sigma_max=10, device=shared.device)
else:
sigmas = self.model_wrap.get_sigmas(steps)
x = x * sigmas[0]