api update default sampler

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

CHANGELOG.md

@@ -55,6 +55,7 @@
 - **API**
   - Add `/sdapi/v1/lora?lora=<lora_name>` endpoint that returns full lora info and metadata  
   - Add `/sdapi/v1/controlnets?model_type=<model_type|all|None>` endpoints that returns list of available controlnets for specific model type  
+  - Set default sampler to `Default`  
 - **Fixes**  
   - IPEX with DPM2++ FlowMatch samplers  
   - Invalid attention processor with ControlNet  

modules/api/control.py

@@ -22,7 +22,7 @@ ReqControl = models.create_model_from_signature(
     func = run.control_run,
     model_name = "StableDiffusionProcessingControl",
     additional_fields = [
-        {"key": "sampler_name", "type": str, "default": "UniPC"},
+        {"key": "sampler_name", "type": str, "default": "Default"},
         {"key": "script_name", "type": Optional[str], "default": None},
         {"key": "script_args", "type": list, "default": []},
         {"key": "send_images", "type": bool, "default": True},

modules/api/models.py

@@ -198,7 +198,7 @@ ReqTxt2Img = PydanticModelGenerator(
     StableDiffusionProcessingTxt2Img,
     [
         {"key": "sampler_index", "type": Union[int, str], "default": 0},
-        {"key": "sampler_name", "type": str, "default": "UniPC"},
+        {"key": "sampler_name", "type": str, "default": "Default"},
         {"key": "hr_sampler_name", "type": str, "default": "Same as primary"},
         {"key": "script_name", "type": Optional[str], "default": "none"},
         {"key": "script_args", "type": list, "default": []},

modules/processing_class.py

@@ -463,8 +463,8 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
         if all_subseeds is not None:
             self.all_subseeds = all_subseeds
 
-        if self.sampler_name == "PLMS":
+        if self.sampler_name == 'PLMS':
-            self.sampler_name = 'UniPC'
+            self.sampler_name = 'Default'
         if not shared.native:
             self.sampler = sd_samplers.create_sampler(self.sampler_name, self.sd_model)
             if hasattr(self.sampler, "initialize"):

modules/processing_helpers.py

@@ -97,10 +97,10 @@ def get_sampler_name(sampler_index: int, img: bool = False) -> str:
     if len(sd_samplers.samplers) > sampler_index:
         sampler_name = sd_samplers.samplers[sampler_index].name
     else:
-        sampler_name = "UniPC"
+        sampler_name = "Default"
         shared.log.warning(f'Sampler not found: index={sampler_index} available={[s.name for s in sd_samplers.samplers]} fallback={sampler_name}')
     if img and sampler_name == "PLMS":
-        sampler_name = "UniPC"
+        sampler_name = "Default"
         shared.log.warning(f'Sampler not compatible: name=PLMS fallback={sampler_name}')
     return sampler_name