From 86399407b2bb5a93d691846acfa88e7ba38ae70d Mon Sep 17 00:00:00 2001 From: kblueleaf Date: Tue, 12 Mar 2024 19:14:01 +0800 Subject: [PATCH] random noise_offset strength --- library/train_util.py | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/library/train_util.py b/library/train_util.py index aa2d9b90..5282b524 100644 --- a/library/train_util.py +++ b/library/train_util.py @@ -3087,6 +3087,12 @@ def add_training_arguments(parser: argparse.ArgumentParser, support_dreambooth: default=None, help="enable noise offset with this value (if enabled, around 0.1 is recommended) / Noise offsetを有効にしてこの値を設定する（有効にする場合は0.1程度を推奨）", ) + parser.add_argument( + "--noise_offset_random_strength", + type=bool, + default=False, + help="use random strength between 0~noise_offset for noise offset. / noise offsetにおいて、0からnoise_offsetの間でランダムな強度を使用します。", + ) parser.add_argument( "--multires_noise_iterations", type=int, @@ -4663,7 +4669,11 @@ def get_noise_noisy_latents_and_timesteps(args, noise_scheduler, latents): # Sample noise that we'll add to the latents noise = torch.randn_like(latents, device=latents.device) if args.noise_offset: - noise = custom_train_functions.apply_noise_offset(latents, noise, args.noise_offset, args.adaptive_noise_scale) + if args.noise_offset_random_strength: + noise_offset = torch.rand(1, device=latents.device) * args.noise_offset + else: + noise_offset = args.noise_offset + noise = custom_train_functions.apply_noise_offset(latents, noise, noise_offset, args.adaptive_noise_scale) if args.multires_noise_iterations: noise = custom_train_functions.pyramid_noise_like( noise, latents.device, args.multires_noise_iterations, args.multires_noise_discount