Sampling: Copy over iterable overrides

If an override was iterable, any modifications to the returned value
would alter the reference to the global storage dict.

Therefore, copy the structure if it's an iterable so any modification
won't alter the original override. Also apply this for the function
that checks for forced overrides.

Signed-off-by: kingbri <bdashore3@proton.me>

common/sampling.py

@@ -2,6 +2,7 @@
 
 import pathlib
 import yaml
+from copy import deepcopy
 from loguru import logger
 from pydantic import AliasChoices, BaseModel, Field
 from typing import Dict, List, Optional, Union
@@ -376,14 +377,19 @@ def get_all_presets():
 def get_default_sampler_value(key, fallback=None):
     """Gets an overridden default sampler value"""
 
-    return unwrap(overrides_container.overrides.get(key, {}).get("override"), fallback)
+    default_value = unwrap(
+        deepcopy(overrides_container.overrides.get(key, {}).get("override")),
+        fallback,
+    )
+
+    return default_value
 
 
 def apply_forced_sampler_overrides(params: BaseSamplerRequest):
     """Forcefully applies overrides if specified by the user"""
 
     for var, value in overrides_container.overrides.items():
-        override = value.get("override")
+        override = deepcopy(value.get("override"))
         original_value = getattr(params, var, None)
 
         # Force takes precedence over additive

common/utils.py

@@ -15,6 +15,6 @@ def coalesce(*args):
 
 
 def prune_dict(input_dict):
-    """Trim out instances of None from a dictionary"""
+    """Trim out instances of None from a dictionary."""
 
     return {k: v for k, v in input_dict.items() if v is not None}