Loading modules/sd_samplers_kdiffusion.py +1 −7 Original line number Diff line number Diff line Loading @@ -144,13 +144,7 @@ class KDiffusionSampler(sd_samplers_common.Sampler): sigmas = self.get_sigmas(p, steps) sigma_sched = sigmas[steps - t_enc - 1:] if opts.sgm_noise_multiplier: p.extra_generation_params["SGM noise multiplier"] = True noise_multiplier = torch.sqrt(1.0 + sigma_sched[0] ** 2.0) else: noise_multiplier = sigma_sched[0] xi = x + noise * noise_multiplier xi = x + noise * sigma_sched[0] if opts.img2img_extra_noise > 0: p.extra_generation_params["Extra noise"] = opts.img2img_extra_noise Loading Loading
modules/sd_samplers_kdiffusion.py +1 −7 Original line number Diff line number Diff line Loading @@ -144,13 +144,7 @@ class KDiffusionSampler(sd_samplers_common.Sampler): sigmas = self.get_sigmas(p, steps) sigma_sched = sigmas[steps - t_enc - 1:] if opts.sgm_noise_multiplier: p.extra_generation_params["SGM noise multiplier"] = True noise_multiplier = torch.sqrt(1.0 + sigma_sched[0] ** 2.0) else: noise_multiplier = sigma_sched[0] xi = x + noise * noise_multiplier xi = x + noise * sigma_sched[0] if opts.img2img_extra_noise > 0: p.extra_generation_params["Extra noise"] = opts.img2img_extra_noise Loading
