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Multi-resolution dataset for SD1/SDXL

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woctordho
2026-02-16 01:58:15 +08:00
parent 48d368fa55
commit ab0d534bc5
1 changed files with 8 additions and 2 deletions
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10
library/strategy_sd.py
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@@ -2,6 +2,7 @@ import glob
import os
from typing import Any, List, Optional, Tuple, Union
import numpy as np
import torch
from transformers import CLIPTokenizer
from library import train_util
@@ -157,7 +158,12 @@ class SdSdxlLatentsCachingStrategy(LatentsCachingStrategy):
return os.path.splitext(absolute_path)[0] + f"_{image_size[0]:04d}x{image_size[1]:04d}" + self.suffix
def is_disk_cached_latents_expected(self, bucket_reso: Tuple[int, int], npz_path: str, flip_aug: bool, alpha_mask: bool):
return self._default_is_disk_cached_latents_expected(8, bucket_reso, npz_path, flip_aug, alpha_mask)
return self._default_is_disk_cached_latents_expected(8, bucket_reso, npz_path, flip_aug, alpha_mask, multi_resolution=True)
def load_latents_from_disk(
self, npz_path: str, bucket_reso: Tuple[int, int]
) -> Tuple[Optional[np.ndarray], Optional[List[int]], Optional[List[int]], Optional[np.ndarray], Optional[np.ndarray]]:
return self._default_load_latents_from_disk(8, npz_path, bucket_reso)
# TODO remove circular dependency for ImageInfo
def cache_batch_latents(self, vae, image_infos: List, flip_aug: bool, alpha_mask: bool, random_crop: bool):
@@ -165,7 +171,7 @@ class SdSdxlLatentsCachingStrategy(LatentsCachingStrategy):
vae_device = vae.device
vae_dtype = vae.dtype
self._default_cache_batch_latents(encode_by_vae, vae_device, vae_dtype, image_infos, flip_aug, alpha_mask, random_crop)
self._default_cache_batch_latents(encode_by_vae, vae_device, vae_dtype, image_infos, flip_aug, alpha_mask, random_crop, multi_resolution=True)
if not train_util.HIGH_VRAM:
train_util.clean_memory_on_device(vae.device)