fix: cache path for diffusers repository cache

src/infra/diffusers/_autoencoder_repository.py

@@ -2,7 +2,6 @@ import io
 import os
 from typing import Any
 
-import folder_paths  # pyright: ignore[reportMissingImports]
 import requests
 import torch
 from comfy.model_management import get_torch_device  # pyright: ignore[reportMissingImports]
@@ -18,12 +17,13 @@ from omegaconf import OmegaConf
 from safetensors import safe_open
 
 from ...domain.repositories import AutoencoderRepository
+from ...utils import get_cache_path
 from ._cache import is_vae_cached
 
 
 class DiffusersAutoencoderRepository(AutoencoderRepository):
     def __init__(self) -> None:
-        self.cache_dir = folder_paths.get_temp_directory()
+        self.cache_dir = get_cache_path()
         self.device = get_torch_device()
 
     # Reference from : https://github.com/huggingface/diffusers/blob/main/scripts/convert_vae_pt_to_diffusers.py

src/infra/diffusers/_pipeline_repository.py

@@ -1,17 +1,17 @@
 import os
 
-import folder_paths  # pyright: ignore[reportMissingImports]
 import torch
 from comfy.model_management import get_torch_device  # pyright: ignore[reportMissingImports]
 from diffusers import StableDiffusionPipeline
 
 from ...domain.repositories import PipelineRepository
+from ...utils import get_cache_path
 from ._cache import is_pipeline_cached
 
 
 class DiffusersPipelineRepository(PipelineRepository):
     def __init__(self) -> None:
-        self.cache_dir = folder_paths.get_temp_directory()
+        self.cache_dir = get_cache_path()
         self.device = get_torch_device()
 
     def convert_and_save_from_single_file(self, checkpoint_path: str, dtype: torch.dtype) -> str:

src/infra/diffusers/_scheduler_repository.py

@@ -1,14 +1,14 @@
-import folder_paths  # pyright: ignore[reportMissingImports]
 import torch
 from diffusers.schedulers.scheduling_utils import SchedulerMixin
 
 from ...domain.model import Scheduler
 from ...domain.repositories import SchedulerRepository
+from ...utils import get_cache_path
 
 
 class DiffusersSchedulerRepository(SchedulerRepository):
     def __init__(self) -> None:
-        self.cache_dir = folder_paths.get_temp_directory()
+        self.cache_dir = get_cache_path()
 
     def create_scheduler(
         self, model_path: str, dtype: torch.dtype, scheduler_type: Scheduler.Type