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Use better way to impl

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Kohaku-Blueleaf
2023-05-23 11:34:51 +08:00
parent 1846ad36a3
commit 70650f87a4
2 changed files with 14 additions and 21 deletions
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19
modules/sd_samplers_kdiffusion.py
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@@ -295,6 +295,13 @@ class KDiffusionSampler:
k_diffusion.sampling.torch = TorchHijack(self.sampler_noises if self.sampler_noises is not None else [])
if opts.custom_k_sched:
p.extra_generation_params["Enable Custom KDiffusion Schedule"] = True
p.extra_generation_params["KDiffusion Scheduler Type"] = opts.k_sched_type
p.extra_generation_params["KDiffusion Scheduler sigma_max"] = opts.sigma_max
p.extra_generation_params["KDiffusion Scheduler sigma_min"] = opts.sigma_min
p.extra_generation_params["KDiffusion Scheduler rho"] = opts.rho
extra_params_kwargs = {}
for param_name in self.extra_params:
if hasattr(p, param_name) and param_name in inspect.signature(self.func).parameters:
@@ -318,15 +325,15 @@ class KDiffusionSampler:
if p.sampler_noise_scheduler_override:
sigmas = p.sampler_noise_scheduler_override(steps)
elif p.enable_custom_k_sched:
elif opts.custom_k_sched:
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())
sigmas_func = k_diffusion_scheduler[p.k_sched_type]
sigmas_func = k_diffusion_scheduler[opts.k_sched_type]
sigmas_kwargs = {
'sigma_min': p.sigma_min or sigma_min,
'sigma_max': p.sigma_max or sigma_max
'sigma_min': opts.sigma_min or sigma_min,
'sigma_max': opts.sigma_max or sigma_max
}
if p.k_sched_type != 'exponential':
sigmas_kwargs['rho'] = p.rho
if opts.k_sched_type != 'exponential':
sigmas_kwargs['rho'] = opts.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())