Allow more arguments to be passed to convert_from_ckpt (#7222)

Allow safety and feature extractor arguments to be passed to convert_from_ckpt

Allows management of safety checker and feature extractor
from outside of the convert ckpt class.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

src/diffusers/pipelines/stable_diffusion/convert_from_ckpt.py

@@ -1153,6 +1153,8 @@ def download_from_original_stable_diffusion_ckpt(
     controlnet: Optional[bool] = None,
     adapter: Optional[bool] = None,
     load_safety_checker: bool = True,
+    safety_checker: Optional[StableDiffusionSafetyChecker] = None,
+    feature_extractor: Optional[AutoFeatureExtractor] = None,
     pipeline_class: DiffusionPipeline = None,
     local_files_only=False,
     vae_path=None,
@@ -1205,6 +1207,12 @@ def download_from_original_stable_diffusion_ckpt(
             If `checkpoint_path` is in `safetensors` format, load checkpoint with safetensors instead of PyTorch.
         load_safety_checker (`bool`, *optional*, defaults to `True`):
             Whether to load the safety checker or not. Defaults to `True`.
+        safety_checker (`StableDiffusionSafetyChecker`, *optional*, defaults to `None`):
+            Safety checker to use. If this parameter is `None`, the function will load a new instance of
+            [StableDiffusionSafetyChecker] by itself, if needed.
+        feature_extractor (`AutoFeatureExtractor`, *optional*, defaults to `None`):
+            Feature extractor to use. If this parameter is `None`, the function will load a new instance of
+            [AutoFeatureExtractor] by itself, if needed.
         pipeline_class (`str`, *optional*, defaults to `None`):
             The pipeline class to use. Pass `None` to determine automatically.
         local_files_only (`bool`, *optional*, defaults to `False`):
@@ -1530,8 +1538,8 @@ def download_from_original_stable_diffusion_ckpt(
                     unet=unet,
                     scheduler=scheduler,
                     controlnet=controlnet,
-                    safety_checker=None,
-                    feature_extractor=None,
+                    safety_checker=safety_checker,
+                    feature_extractor=feature_extractor,
                 )
                 if hasattr(pipe, "requires_safety_checker"):
                     pipe.requires_safety_checker = False
@@ -1551,8 +1559,8 @@ def download_from_original_stable_diffusion_ckpt(
                     unet=unet,
                     scheduler=scheduler,
                     low_res_scheduler=low_res_scheduler,
-                    safety_checker=None,
-                    feature_extractor=None,
+                    safety_checker=safety_checker,
+                    feature_extractor=feature_extractor,
                 )
 
             else:
@@ -1562,8 +1570,8 @@ def download_from_original_stable_diffusion_ckpt(
                     tokenizer=tokenizer,
                     unet=unet,
                     scheduler=scheduler,
-                    safety_checker=None,
-                    feature_extractor=None,
+                    safety_checker=safety_checker,
+                    feature_extractor=feature_extractor,
                 )
                 if hasattr(pipe, "requires_safety_checker"):
                     pipe.requires_safety_checker = False
@@ -1684,9 +1692,6 @@ def download_from_original_stable_diffusion_ckpt(
             feature_extractor = AutoFeatureExtractor.from_pretrained(
                 "CompVis/stable-diffusion-safety-checker", local_files_only=local_files_only
             )
-        else:
-            safety_checker = None
-            feature_extractor = None
 
         if controlnet:
             pipe = pipeline_class(