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author | unknown <mcgpapu@gmail.com> | 2022-12-25 08:03:55 +0000 |
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committer | unknown <mcgpapu@gmail.com> | 2022-12-25 08:03:55 +0000 |
commit | 876da1259965130603f2a7fea505cfa0fce09e2e (patch) | |
tree | ccb8b89d64480a4bd224b311702ffeb13b8fe754 /extensions-builtin/LDSR/ldsr_model_arch.py | |
parent | d6fdfde9d70f1b86b696240fb0a0c8f2a4d024f6 (diff) | |
parent | c6f347b81f584b6c0d44af7a209983284dbb52d2 (diff) | |
download | stable-diffusion-webui-gfx803-876da1259965130603f2a7fea505cfa0fce09e2e.tar.gz stable-diffusion-webui-gfx803-876da1259965130603f2a7fea505cfa0fce09e2e.tar.bz2 stable-diffusion-webui-gfx803-876da1259965130603f2a7fea505cfa0fce09e2e.zip |
Merge branch 'master' of github.com:AUTOMATIC1111/stable-diffusion-webui
Diffstat (limited to 'extensions-builtin/LDSR/ldsr_model_arch.py')
-rw-r--r-- | extensions-builtin/LDSR/ldsr_model_arch.py | 12 |
1 files changed, 9 insertions, 3 deletions
diff --git a/extensions-builtin/LDSR/ldsr_model_arch.py b/extensions-builtin/LDSR/ldsr_model_arch.py index 8b048ae0..0ad49f4e 100644 --- a/extensions-builtin/LDSR/ldsr_model_arch.py +++ b/extensions-builtin/LDSR/ldsr_model_arch.py @@ -1,3 +1,4 @@ +import os import gc import time import warnings @@ -8,6 +9,7 @@ import torchvision from PIL import Image from einops import rearrange, repeat from omegaconf import OmegaConf +import safetensors.torch from ldm.models.diffusion.ddim import DDIMSampler from ldm.util import instantiate_from_config, ismap @@ -24,12 +26,16 @@ class LDSR: global cached_ldsr_model if shared.opts.ldsr_cached and cached_ldsr_model is not None: - print(f"Loading model from cache") + print("Loading model from cache") model: torch.nn.Module = cached_ldsr_model else: print(f"Loading model from {self.modelPath}") - pl_sd = torch.load(self.modelPath, map_location="cpu") - sd = pl_sd["state_dict"] + _, extension = os.path.splitext(self.modelPath) + if extension.lower() == ".safetensors": + pl_sd = safetensors.torch.load_file(self.modelPath, device="cpu") + else: + pl_sd = torch.load(self.modelPath, map_location="cpu") + sd = pl_sd["state_dict"] if "state_dict" in pl_sd else pl_sd config = OmegaConf.load(self.yamlPath) config.model.target = "ldm.models.diffusion.ddpm.LatentDiffusionV1" model: torch.nn.Module = instantiate_from_config(config.model) |