feature: add HAT super-resolution weights

src/convert_to_safetensors.py

@@ -14,13 +14,15 @@ def convert_folder_to_safetensors(input_folder: str, output_folder: str):
                 relative_path = os.path.relpath(file_path, input_folder)
                 output_path = os.path.join(output_folder, relative_path)
                 output_path = output_path.rsplit('.', 1)[0] + '.safetensors'
-                print(f'Converting {file_path} to {output_path}')
+                print(f'\nConverting {file_path} to {output_path}')
                 # Ensure output directory exists
                 os.makedirs(os.path.dirname(output_path), exist_ok=True)
 
-                data = dict(torch.load(file_path))
+                data = dict(torch.load(file_path, map_location="cpu"))
                 if "params" in data:
                     data = data["params"]
+                model_dtype = data[list(data.keys())[-1]].dtype
+                print(f"Model dtype: {model_dtype}")
 
                 save_file(data, output_path)
 

weights/super-resolution/hat/4xNomos8kHAT-L_otf.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:80fbb305d7bdcdc00ef0281f2180d2d7fdb2b573c7c159755957b4f32c7bd0bf
+size 165299372