mirror of
https://github.com/kohya-ss/sd-scripts.git
synced 2026-04-08 22:35:09 +00:00
revert perlin_noise
This commit is contained in:
@@ -2127,12 +2127,12 @@ def add_training_arguments(parser: argparse.ArgumentParser, support_dreambooth:
|
||||
default=None,
|
||||
help="enable multires noise with this number of iterations (if enabled, around 6-10 is recommended) / Multires noiseを有効にしてこのイテレーション数を設定する(有効にする場合は6-10程度を推奨)",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--perlin_noise",
|
||||
type=int,
|
||||
default=None,
|
||||
help="enable perlin noise and set the octaves",
|
||||
)
|
||||
# parser.add_argument(
|
||||
# "--perlin_noise",
|
||||
# type=int,
|
||||
# default=None,
|
||||
# help="enable perlin noise and set the octaves / perlin noiseを有効にしてoctavesをこの値に設定する",
|
||||
# )
|
||||
parser.add_argument(
|
||||
"--multires_noise_discount",
|
||||
type=float,
|
||||
@@ -2217,15 +2217,21 @@ def verify_training_args(args: argparse.Namespace):
|
||||
"cache_latents_to_disk is enabled, so cache_latents is also enabled / cache_latents_to_diskが有効なため、cache_latentsを有効にします"
|
||||
)
|
||||
|
||||
# noise_offset, perlin_noise, multires_noise_iterations cannot be enabled at the same time
|
||||
# Listを使って数えてもいいけど並べてしまえ
|
||||
if args.noise_offset is not None and args.multires_noise_iterations is not None:
|
||||
raise ValueError(
|
||||
"noise_offset and multires_noise_iterations cannot be enabled at the same time / noise_offsetとmultires_noise_iterationsを同時に有効にすることはできません"
|
||||
"noise_offset and multires_noise_iterations cannot be enabled at the same time / noise_offsetとmultires_noise_iterationsを同時に有効にできません"
|
||||
)
|
||||
# if args.noise_offset is not None and args.perlin_noise is not None:
|
||||
# raise ValueError("noise_offset and perlin_noise cannot be enabled at the same time / noise_offsetとperlin_noiseは同時に有効にできません")
|
||||
# if args.perlin_noise is not None and args.multires_noise_iterations is not None:
|
||||
# raise ValueError(
|
||||
# "perlin_noise and multires_noise_iterations cannot be enabled at the same time / perlin_noiseとmultires_noise_iterationsを同時に有効にできません"
|
||||
# )
|
||||
|
||||
if args.adaptive_noise_scale is not None and args.noise_offset is None:
|
||||
raise ValueError(
|
||||
"adaptive_noise_scale requires noise_offset / adaptive_noise_scaleを使用するにはnoise_offsetが必要です"
|
||||
)
|
||||
raise ValueError("adaptive_noise_scale requires noise_offset / adaptive_noise_scaleを使用するにはnoise_offsetが必要です")
|
||||
|
||||
|
||||
def add_dataset_arguments(
|
||||
@@ -3301,18 +3307,18 @@ def sample_images(
|
||||
# with open(args.sample_prompts, "rt", encoding="utf-8") as f:
|
||||
# prompts = f.readlines()
|
||||
|
||||
if args.sample_prompts.endswith('.txt'):
|
||||
with open(args.sample_prompts, 'r') as f:
|
||||
if args.sample_prompts.endswith(".txt"):
|
||||
with open(args.sample_prompts, "r") as f:
|
||||
lines = f.readlines()
|
||||
prompts = [line.strip() for line in lines if len(line.strip()) > 0 and line[0] != "#"]
|
||||
elif args.sample_prompts.endswith('.toml'):
|
||||
with open(args.sample_prompts, 'r') as f:
|
||||
elif args.sample_prompts.endswith(".toml"):
|
||||
with open(args.sample_prompts, "r") as f:
|
||||
data = toml.load(f)
|
||||
prompts = [dict(**data['prompt'], **subset) for subset in data['prompt']['subset']]
|
||||
elif args.sample_prompts.endswith('.json'):
|
||||
with open(args.sample_prompts, 'r') as f:
|
||||
prompts = [dict(**data["prompt"], **subset) for subset in data["prompt"]["subset"]]
|
||||
elif args.sample_prompts.endswith(".json"):
|
||||
with open(args.sample_prompts, "r") as f:
|
||||
prompts = json.load(f)
|
||||
|
||||
|
||||
# schedulerを用意する
|
||||
sched_init_args = {}
|
||||
if args.sample_sampler == "ddim":
|
||||
@@ -3381,7 +3387,7 @@ def sample_images(
|
||||
for i, prompt in enumerate(prompts):
|
||||
if not accelerator.is_main_process:
|
||||
continue
|
||||
|
||||
|
||||
if isinstance(prompt, dict):
|
||||
negative_prompt = prompt.get("negative_prompt")
|
||||
sample_steps = prompt.get("sample_steps", 30)
|
||||
@@ -3390,7 +3396,7 @@ def sample_images(
|
||||
scale = prompt.get("scale", 7.5)
|
||||
seed = prompt.get("seed")
|
||||
prompt = prompt.get("prompt")
|
||||
else:
|
||||
else:
|
||||
# prompt = prompt.strip()
|
||||
# if len(prompt) == 0 or prompt[0] == "#":
|
||||
# continue
|
||||
|
||||
Reference in New Issue
Block a user