From 8bcdd50461090a2dd238082b33f4c1423378ebbd Mon Sep 17 00:00:00 2001 From: wywywywy Date: Sat, 10 Dec 2022 18:57:18 +0000 Subject: [PATCH] Add safetensors support to LDSR --- extensions-builtin/LDSR/ldsr_model_arch.py | 10 ++++++++-- extensions-builtin/LDSR/scripts/ldsr_model.py | 8 ++++++-- 2 files changed, 14 insertions(+), 4 deletions(-) diff --git a/extensions-builtin/LDSR/ldsr_model_arch.py b/extensions-builtin/LDSR/ldsr_model_arch.py index 8b048ae00..f5bd8ae4e 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 @@ -28,8 +30,12 @@ class LDSR: 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) diff --git a/extensions-builtin/LDSR/scripts/ldsr_model.py b/extensions-builtin/LDSR/scripts/ldsr_model.py index 29d5f94ed..b8cff29b9 100644 --- a/extensions-builtin/LDSR/scripts/ldsr_model.py +++ b/extensions-builtin/LDSR/scripts/ldsr_model.py @@ -25,6 +25,7 @@ class UpscalerLDSR(Upscaler): yaml_path = os.path.join(self.model_path, "project.yaml") old_model_path = os.path.join(self.model_path, "model.pth") new_model_path = os.path.join(self.model_path, "model.ckpt") + safetensors_model_path = os.path.join(self.model_path, "model.safetensors") if os.path.exists(yaml_path): statinfo = os.stat(yaml_path) if statinfo.st_size >= 10485760: @@ -33,8 +34,11 @@ class UpscalerLDSR(Upscaler): if os.path.exists(old_model_path): print("Renaming model from model.pth to model.ckpt") os.rename(old_model_path, new_model_path) - model = load_file_from_url(url=self.model_url, model_dir=self.model_path, - file_name="model.ckpt", progress=True) + if os.path.exists(safetensors_model_path): + model = safetensors_model_path + else: + model = load_file_from_url(url=self.model_url, model_dir=self.model_path, + file_name="model.ckpt", progress=True) yaml = load_file_from_url(url=self.yaml_url, model_dir=self.model_path, file_name="project.yaml", progress=True)