refactor pipeline loaders to generic methods and introduce te_shared_t5 option

Signed-off-by: Vladimir Mandic <mandic00@live.com>

scripts/nudenet/imageguard.py

@@ -106,7 +106,7 @@ def image_guard(image, policy:str=None) -> str:
                 attn_implementation='flash_attention_2',
                 torch_dtype=devices.dtype,
                 device_map="auto",
-                cache_dir='/mnt/models/huggingface',
+                cache_dir=shared.opts.hfcache_dir,
             )
             processor = transformers.AutoProcessor.from_pretrained(repo_id, cache_dir=shared.opts.hfcache_dir)
             shared.log.info(f'NudeNet load: model="{repo_id}"')

scripts/nudenet/nudenet.py

@@ -61,7 +61,7 @@ class NudeDetector:
         self.model_path = model or hf.hf_hub_download(
             repo_id='vladmandic/nudenet',
             filename='nudenet.onnx',
-            cache_dir=shared.opts.diffusers_dir,
+            cache_dir=shared.opts.hfcache_dir,
         )
         if session is None:
             log.info(f'NudeNet load: model="{self.model_path}" providers={providers}')