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fix floating error

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lambertae 2023-07-18 00:55:02 -04:00
parent 15a94d6cf7
commit 37e048a7e2
1 changed files with 6 additions and 5 deletions
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11
modules/sd_samplers_kdiffusion.py
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@ -89,11 +89,12 @@ def restart_sampler(model, x, sigmas, extra_args=None, callback=None, disable=No
restart_steps, restart_times, restart_max = restart_list[i + 1]
min_idx = i + 1
max_idx = int(torch.argmin(abs(sigmas - restart_max), dim=0))
sigma_restart = get_sigmas_karras(restart_steps, sigmas[min_idx], sigmas[max_idx], device=sigmas.device)[:-1] # remove the zero at the end
for times in range(restart_times):
x = x + torch.randn_like(x) * s_noise * (sigmas[max_idx] ** 2 - sigmas[min_idx] ** 2) ** 0.5
for (old_sigma, new_sigma) in zip(sigma_restart[:-1], sigma_restart[1:]):
x = heun_step(x, old_sigma, new_sigma)
if max_idx < min_idx:
sigma_restart = get_sigmas_karras(restart_steps, sigmas[min_idx], sigmas[max_idx], device=sigmas.device)[:-1] # remove the zero at the end
for times in range(restart_times):
x = x + torch.randn_like(x) * s_noise * (sigmas[max_idx] ** 2 - sigmas[min_idx] ** 2) ** 0.5
for (old_sigma, new_sigma) in zip(sigma_restart[:-1], sigma_restart[1:]):
x = heun_step(x, old_sigma, new_sigma)
return x
samplers_data_k_diffusion = [