Support loading the Stable Cascade effnet and previewer as a VAE.

The effnet can be used to encode images for img2img with Stage C.

nodes.py

@@ -309,18 +309,7 @@ class VAEEncode:
 
     CATEGORY = "latent"
 
-    @staticmethod
-    def vae_encode_crop_pixels(pixels):
-        x = (pixels.shape[1] // 8) * 8
-        y = (pixels.shape[2] // 8) * 8
-        if pixels.shape[1] != x or pixels.shape[2] != y:
-            x_offset = (pixels.shape[1] % 8) // 2
-            y_offset = (pixels.shape[2] % 8) // 2
-            pixels = pixels[:, x_offset:x + x_offset, y_offset:y + y_offset, :]
-        return pixels
-
     def encode(self, vae, pixels):
-        pixels = self.vae_encode_crop_pixels(pixels)
         t = vae.encode(pixels[:,:,:,:3])
         return ({"samples":t}, )
 
@@ -336,7 +325,6 @@ class VAEEncodeTiled:
     CATEGORY = "_for_testing"
 
     def encode(self, vae, pixels, tile_size):
-        pixels = VAEEncode.vae_encode_crop_pixels(pixels)
         t = vae.encode_tiled(pixels[:,:,:,:3], tile_x=tile_size, tile_y=tile_size, )
         return ({"samples":t}, )
 
@@ -350,14 +338,14 @@ class VAEEncodeForInpaint:
     CATEGORY = "latent/inpaint"
 
     def encode(self, vae, pixels, mask, grow_mask_by=6):
-        x = (pixels.shape[1] // 8) * 8
-        y = (pixels.shape[2] // 8) * 8
+        x = (pixels.shape[1] // vae.downscale_ratio) * vae.downscale_ratio
+        y = (pixels.shape[2] // vae.downscale_ratio) * vae.downscale_ratio
         mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(pixels.shape[1], pixels.shape[2]), mode="bilinear")
 
         pixels = pixels.clone()
         if pixels.shape[1] != x or pixels.shape[2] != y:
-            x_offset = (pixels.shape[1] % 8) // 2
-            y_offset = (pixels.shape[2] % 8) // 2
+            x_offset = (pixels.shape[1] % vae.downscale_ratio) // 2
+            y_offset = (pixels.shape[2] % vae.downscale_ratio) // 2
             pixels = pixels[:,x_offset:x + x_offset, y_offset:y + y_offset,:]
             mask = mask[:,:,x_offset:x + x_offset, y_offset:y + y_offset]