feat(nodes): hardcode resize latents downsampling

Author: psychedelicious

invokeai/app/invocations/latent.py

@@ -374,15 +374,14 @@ def invoke(self, context: InvocationContext) -> ImageOutput:
 
 
 class ResizeLatentsInvocation(BaseInvocation):
-    """Resizes latents to explicit width/height."""
+    """Resizes latents to explicit width/height (in pixels). Provided dimensions are floor-divided by 8."""
 
     type: Literal["lresize"] = "lresize"
 
     # Inputs
     latents: Optional[LatentsField]             = Field(description="The latents to resize")
     width: int                                  = Field(ge=64, multiple_of=8, description="The width to resize to (px)")
     height: int                                 = Field(ge=64, multiple_of=8, description="The height to resize to (px)")
-    downsample: Optional[int]                   = Field(default=8, ge=1, description="The downsampling factor (leave at 8 for SD)")
     mode: Optional[LATENTS_INTERPOLATION_MODE]  = Field(default="bilinear", description="The interpolation mode")
     antialias: Optional[bool]                   = Field(default=False, description="Whether or not to antialias (applied in bilinear and bicubic modes only)")
 
@@ -391,10 +390,7 @@ def invoke(self, context: InvocationContext) -> LatentsOutput:
 
         resized_latents = torch.nn.functional.interpolate(
             latents,
-            size=(
-                self.height // self.downsample,
-                self.width // self.downsample,
-            ),
+            size=(self.height // 8, self.width // 8),
             mode=self.mode,
             antialias=self.antialias if self.mode in ["bilinear", "bicubic"] else False,
         )
@@ -414,7 +410,7 @@ class ScaleLatentsInvocation(BaseInvocation):
 
     # Inputs
     latents: Optional[LatentsField]             = Field(description="The latents to scale")
-    scale_factor: float                         = Field(ge=0, description="The factor by which to scale the latents")
+    scale_factor: float                         = Field(gt=0, description="The factor by which to scale the latents")
     mode: Optional[LATENTS_INTERPOLATION_MODE]  = Field(default="bilinear", description="The interpolation mode")
     antialias: Optional[bool]                   = Field(default=False, description="Whether or not to antialias (applied in bilinear and bicubic modes only)")