From 8d60645106d7e2daa0da89c5b21d7ffdac61cf9e Mon Sep 17 00:00:00 2001 From: d8ahazard Date: Fri, 30 Sep 2022 08:55:04 -0500 Subject: [PATCH] Fix model paths, ensure we have the right files. Also, clean up logging in the ldsr arch file. --- modules/ldsr_model.py | 9 +++++++-- modules/ldsr_model_arch.py | 3 +-- 2 files changed, 8 insertions(+), 4 deletions(-) diff --git a/modules/ldsr_model.py b/modules/ldsr_model.py index 4d8687c2f..7dff0a9c2 100644 --- a/modules/ldsr_model.py +++ b/modules/ldsr_model.py @@ -24,13 +24,18 @@ class UpscalerLDSR(Upscaler): def load_model(self, path: str): # Remove incorrect project.yaml file if too big 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") if os.path.exists(yaml_path): statinfo = os.stat(yaml_path) - if statinfo.st_size <= 10485760: + if statinfo.st_size >= 10485760: print("Removing invalid LDSR YAML file.") os.remove(yaml_path) + 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.pth", progress=True) + 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) diff --git a/modules/ldsr_model_arch.py b/modules/ldsr_model_arch.py index 7faac6e18..093a32106 100644 --- a/modules/ldsr_model_arch.py +++ b/modules/ldsr_model_arch.py @@ -100,7 +100,6 @@ class LDSR: # If we can adjust the max upscale size, then the 4 below should be our variable print("Foo") down_sample_rate = target_scale / 4 - print(f"Downsample rate is {down_sample_rate}") wd = width_og * down_sample_rate hd = height_og * down_sample_rate width_downsampled_pre = int(wd) @@ -111,7 +110,7 @@ class LDSR: f'Downsampling from [{width_og}, {height_og}] to [{width_downsampled_pre}, {height_downsampled_pre}]') im_og = im_og.resize((width_downsampled_pre, height_downsampled_pre), Image.LANCZOS) else: - print(f"Down sample rate is 1 from {target_scale} / 4") + print(f"Down sample rate is 1 from {target_scale} / 4 (Not downsampling)") logs = self.run(model["model"], im_og, diffusion_steps, eta) sample = logs["sample"]