Loading modules/sd_samplers_common.py +2 −2 Original line number Original line Diff line number Diff line Loading @@ -26,8 +26,8 @@ approximation_indexes = {"Full": 0, "Tiny AE": 1, "Approx NN": 2, "Approx cheap" def single_sample_to_image(sample, approximation=None): def single_sample_to_image(sample, approximation=None): if approximation is None: if approximation is None or approximation not in approximation_indexes.keys(): approximation = approximation_indexes.get(opts.show_progress_type, 0) approximation = approximation_indexes.get(opts.show_progress_type, 1) if approximation == 1: if approximation == 1: x_sample = sd_vae_taesd.decode()(sample.to(devices.device, devices.dtype).unsqueeze(0))[0].detach() x_sample = sd_vae_taesd.decode()(sample.to(devices.device, devices.dtype).unsqueeze(0))[0].detach() Loading Loading
modules/sd_samplers_common.py +2 −2 Original line number Original line Diff line number Diff line Loading @@ -26,8 +26,8 @@ approximation_indexes = {"Full": 0, "Tiny AE": 1, "Approx NN": 2, "Approx cheap" def single_sample_to_image(sample, approximation=None): def single_sample_to_image(sample, approximation=None): if approximation is None: if approximation is None or approximation not in approximation_indexes.keys(): approximation = approximation_indexes.get(opts.show_progress_type, 0) approximation = approximation_indexes.get(opts.show_progress_type, 1) if approximation == 1: if approximation == 1: x_sample = sd_vae_taesd.decode()(sample.to(devices.device, devices.dtype).unsqueeze(0))[0].detach() x_sample = sd_vae_taesd.decode()(sample.to(devices.device, devices.dtype).unsqueeze(0))[0].detach() Loading
