VictorMylle/Kohya-ss-sd-scripts
1
0
Fork 1
mirror of https://github.com/kohya-ss/sd-scripts.git synced 2026-04-09 06:45:09 +00:00
Code Issues Packages Projects Releases Wiki Activity

Multi-Resolution Noise

Browse Source
This commit is contained in:
Pam
2023-05-02 09:42:17 +05:00
parent bc803e01c7
commit b18d099291
7 changed files with 42 additions and 5 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
train_textual_inversion.py
View File

@@ -20,7 +20,7 @@ from library.config_util import (
BlueprintGenerator,
)
import library.custom_train_functions as custom_train_functions
from library.custom_train_functions import apply_snr_weight
from library.custom_train_functions import apply_snr_weight, pyramid_noise_like
imagenet_templates_small = [
"a photo of a {}",
@@ -386,6 +386,8 @@ def train(args):
if args.noise_offset:
# https://www.crosslabs.org//blog/diffusion-with-offset-noise
noise += args.noise_offset * torch.randn((latents.shape[0], latents.shape[1], 1, 1), device=latents.device)
elif args.multires_noise_iterations:
noise = pyramid_noise_like(noise, latents.device, args.multires_noise_iterations, args.multires_noise_discount)
# Sample a random timestep for each image
timesteps = torch.randint(0, noise_scheduler.config.num_train_timesteps, (b_size,), device=latents.device)