Rename default schedulers across the app

invokeai/app/invocations/generate.py

@@ -52,7 +52,7 @@ class TextToImageInvocation(BaseInvocation, SDImageInvocation):
     width:       int = Field(default=512, multiple_of=8, gt=0, description="The width of the resulting image", )
     height:      int = Field(default=512, multiple_of=8, gt=0, description="The height of the resulting image", )
     cfg_scale: float = Field(default=7.5, ge=1, description="The Classifier-Free Guidance, higher values may result in a result closer to the prompt", )
-    scheduler: SAMPLER_NAME_VALUES = Field(default="k_lms", description="The scheduler to use" )
+    scheduler: SAMPLER_NAME_VALUES = Field(default="lms", description="The scheduler to use" )
     model:       str = Field(default="", description="The model to use (currently ignored)")
     # fmt: on
 

invokeai/app/invocations/latent.py

@@ -140,7 +140,7 @@ class TextToLatentsInvocation(BaseInvocation):
     noise: Optional[LatentsField] = Field(description="The noise to use")
     steps:       int = Field(default=10, gt=0, description="The number of steps to use to generate the image")
     cfg_scale: float = Field(default=7.5, gt=0, description="The Classifier-Free Guidance, higher values may result in a result closer to the prompt", )
-    scheduler: SAMPLER_NAME_VALUES = Field(default="k_lms", description="The scheduler to use" )
+    scheduler: SAMPLER_NAME_VALUES = Field(default="lms", description="The scheduler to use" )
     model:       str = Field(default="", description="The model to use (currently ignored)")
     seamless:   bool = Field(default=False, description="Whether or not to generate an image that can tile without seams", )
     seamless_axes: str = Field(default="", description="The axes to tile the image on, 'x' and/or 'y'")

invokeai/backend/args.py

@@ -634,7 +634,7 @@ class Args(object):
             choices=SAMPLER_CHOICES,
             metavar="SAMPLER_NAME",
             help=f'Set the default sampler. Supported samplers: {", ".join(SAMPLER_CHOICES)}',
-            default="k_lms",
+            default="lms",
         )
         render_group.add_argument(
             "--log_tokenization",

invokeai/backend/generate.py

@@ -142,7 +142,7 @@ class Generate:
         model=None,
         conf="configs/models.yaml",
         embedding_path=None,
-        sampler_name="k_lms",
+        sampler_name="lms",
         ddim_eta=0.0,  # deterministic
         full_precision=False,
         precision="auto",

invokeai/frontend/web/src/features/nodes/examples/iterationGraph.ts

@@ -20,7 +20,7 @@ export const iterationGraph = {
       model: '',
       progress_images: false,
       prompt: 'dog',
-      sampler_name: 'k_lms',
+      sampler_name: 'lms',
       seamless: false,
       steps: 11,
       type: 'txt2img',

invokeai/frontend/web/src/features/parameters/store/generationSlice.ts

@@ -51,7 +51,7 @@ export const initialGenerationState: GenerationState = {
   perlin: 0,
   prompt: '',
   negativePrompt: '',
-  sampler: 'k_lms',
+  sampler: 'lms',
   seamBlur: 16,
   seamSize: 96,
   seamSteps: 30,

tests/inpainting/original.json

@@ -23,7 +23,7 @@
     ],
     "threshold": 0,
     "postprocessing": null,
-    "sampler": "k_lms",
+    "sampler": "lms",
     "variations": [],
     "type": "txt2img"
   }

tests/nodes/test_png_metadata_service.py

@@ -17,7 +17,7 @@ valid_metadata = {
         "width": 512,
         "height": 512,
         "cfg_scale": 7.5,
-        "scheduler": "k_lms",
+        "scheduler": "lms",
         "model": "stable-diffusion-1.5",
     },
 }