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Update sdxl_gen_img.py

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DKnight54
2025-01-24 00:17:40 +08:00
committed by GitHub
parent 75a225d74b
commit 68c65e0ae5
1 changed files with 7 additions and 8 deletions
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15
sdxl_gen_img.py
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@@ -1490,9 +1490,9 @@ def main(args):
files = glob.glob(args.ckpt)
if len(files) == 1:
args.ckpt = files[0]
gc.collect()
device = get_preferred_device()
(_, text_encoder1, text_encoder2, vae, unet, _, _) = sdxl_train_util._load_target_model(
args.ckpt, args.vae, sdxl_model_util.MODEL_VERSION_SDXL_BASE_V1_0, dtype
args.ckpt, args.vae, sdxl_model_util.MODEL_VERSION_SDXL_BASE_V1_0, dtype, device
)
unet: InferSdxlUNet2DConditionModel = InferSdxlUNet2DConditionModel(unet)
@@ -1622,7 +1622,7 @@ def main(args):
# scheduler.config.clip_sample = True
# deviceを決定する
device = get_preferred_device()
# custom pipelineをコピったやつを生成する
if args.vae_slices:
@@ -1649,16 +1649,15 @@ def main(args):
if args.no_half_vae:
logger.info("set vae_dtype to float32")
vae_dtype = torch.float32
vae.to(vae_dtype).to(device)
#vae.to(vae_dtype).to(device)
vae.eval()
text_encoder1.to(dtype).to(device)
text_encoder2.to(dtype).to(device)
unet.to(dtype).to(device)
#text_encoder1.to(dtype).to(device)
#text_encoder2.to(dtype).to(device)
#unet.to(dtype).to(device)
text_encoder1.eval()
text_encoder2.eval()
unet.eval()
gc.collect()
# networkを組み込む
if args.network_module:
networks = []