More cleanups and fixes

py/noise.py

@@ -210,9 +210,10 @@ class CompositeNoise(CustomNoiseItemBase):
         src_noise,
         normalize_dst,
         normalize_src,
+        normalize_result,
         mask,
     ):
-        super().__init(
+        super().__init__(
             factor,
             dst_noise=dst_noise.clone(),
             src_noise=src_noise.clone(),
@@ -260,7 +261,7 @@ class CompositeNoise(CustomNoiseItemBase):
             return scale_noise(
                 noise_dst.add_(noise_src),
                 factor,
-                normalize=normalize_result,
+                normalized=normalize_result,
             )
 
         return noise_sampler
@@ -786,6 +787,24 @@ NOISE_SAMPLERS: dict[NoiseType, Callable] = {
     NoiseType.PYRAMID_OLD_AREA: NoiseSampler.simple(
         lambda x: pyramid_old_noise_like(x, upscale_mode="area"),
     ),
+    NoiseType.PYRAMID_DISCOUNT5: NoiseSampler.simple(
+        lambda x: pyramid_noise_like(x, discount=0.5),
+    ),
+    NoiseType.PYRAMID_MIX: NoiseSampler.simple(
+        lambda x: pyramid_noise_like(x, discount=0.6)
+        .mul_(0.2)
+        .add_(pyramid_noise_like(x, discount=0.6).mul_(-0.8)),
+    ),
+    NoiseType.PYRAMID_MIX_AREA: NoiseSampler.simple(
+        lambda x: pyramid_noise_like(x, discount=0.5, upscale_mode="area")
+        .mul_(0.2)
+        .add_(pyramid_noise_like(x, discount=0.5, upscale_mode="area").mul_(-0.8)),
+    ),
+    NoiseType.PYRAMID_MIX_BISLERP: NoiseSampler.simple(
+        lambda x: pyramid_noise_like(x, discount=0.5, upscale_mode="bislerp")
+        .mul_(0.2)
+        .add_(pyramid_noise_like(x, discount=0.5, upscale_mode="bislerp").mul_(-0.8)),
+    ),
 }
 
 

py/noise_generation.py

@@ -21,6 +21,7 @@ class NoiseType(Enum):
     STUDENTT = auto()
     HIGHRES_PYRAMID = auto()
     PYRAMID = auto()
+    PYRAMID_MIX = auto()
     PINK = auto()
     LAPLACIAN = auto()
     POWER = auto()
@@ -34,6 +35,9 @@ class NoiseType(Enum):
     PYRAMID_OLD_AREA = auto()
     PYRAMID_AREA = auto()
     HIGHRES_PYRAMID_AREA = auto()
+    PYRAMID_DISCOUNT5 = auto()
+    PYRAMID_MIX_BISLERP = auto()
+    PYRAMID_MIX_AREA = auto()
 
     @classmethod
     def get_names(cls, default=None, skip=None):
@@ -376,10 +380,6 @@ def generate_1f_noise(tensor, alpha, k, generator=None):
 
 def pink_noise_like(x):
     return scale_noise(generate_1f_noise(x, 2.0, 1.0)).to(x.device)
-    # noise = generate_1f_noise(x, 2.0, 1.0)
-    # noise_mean = torch.mean(noise)
-    # noise_std = torch.std(noise)
-    # return noise.sub_(noise_mean).div_(noise_std).to(x.device)
 
 
 def laplacian_noise_like(x):