Merge branch 'main' into misc/wiki-workflow

backend/src/packages/chaiNNer_onnx/__init__.py

@@ -2,7 +2,7 @@
 
 from api import KB, MB, Dependency, add_package
 from gpu import nvidia
-from system import is_arm_mac
+from system import is_arm_mac, is_windows
 
 general = "ONNX uses .onnx models to upscale images."
 conversion = "It also helps to convert between PyTorch and NCNN."
@@ -15,7 +15,7 @@
         f"{general} {conversion} It is fastest when CUDA is supported. If TensorRT is"
         " installed on the system, it can also be configured to use that."
     )
-    inst_hint = f"{general} It does not support AMD GPUs."
+    inst_hint = f"{general} It does not support AMD GPUs, in linux."
 
 
 def get_onnx_runtime():
@@ -28,6 +28,13 @@ def get_onnx_runtime():
             import_name="onnxruntime",
             extra_index_url="https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/",
         )
+    elif is_windows:
+        return Dependency(
+            display_name="ONNX Runtime (DirectMl)",
+            pypi_name="onnxruntime-directml",
+            version="1.17.1",
+            size_estimate=15 * MB,
+        )
     else:
         return Dependency(
             display_name="ONNX Runtime",

backend/src/packages/chaiNNer_standard/image_filter/noise/add_noise.py

@@ -45,7 +45,15 @@ class NoiseType(Enum):
                 NoiseColor.GRAY: "Monochrome",
             },
         ),
-        SliderInput("Amount", min=0, max=100, default=50),
+        SliderInput(
+            "Amount",
+            min=0.0,
+            max=100.0,
+            default=50.0,
+            precision=1,
+            step=0.1,
+            slider_step=0.1,
+        ),
         seed_group(SeedInput()),
     ],
     outputs=[
@@ -67,18 +75,18 @@ def add_noise_node(
     img: np.ndarray,
     noise_type: NoiseType,
     noise_color: NoiseColor,
-    amount: int,
+    amount: float,
     seed: Seed,
 ) -> np.ndarray:
     if noise_type == NoiseType.GAUSSIAN:
-        return gaussian_noise(img, amount / 100, noise_color, seed.value)
+        return gaussian_noise(img, amount / 100.0, noise_color, seed.value)
     elif noise_type == NoiseType.UNIFORM:
-        return uniform_noise(img, amount / 100, noise_color, seed.value)
+        return uniform_noise(img, amount / 100.0, noise_color, seed.value)
     elif noise_type == NoiseType.SALT_AND_PEPPER:
-        return salt_and_pepper_noise(img, amount / 100, noise_color, seed.value)
+        return salt_and_pepper_noise(img, amount / 100.0, noise_color, seed.value)
     elif noise_type == NoiseType.POISSON:
-        return poisson_noise(img, amount / 100, noise_color, seed.value)
+        return poisson_noise(img, amount / 100.0, noise_color, seed.value)
     elif noise_type == NoiseType.SPECKLE:
-        return speckle_noise(img, amount / 100, noise_color, seed.value)
+        return speckle_noise(img, amount / 100.0, noise_color, seed.value)
     else:
         raise ValueError(f"Unknown noise type: {noise_type}")

package.json

@@ -147,7 +147,7 @@
     "reactflow": "^11.10.1",
     "rregex": "^1.10.11",
     "semver": "^7.3.7",
-    "systeminformation": "^5.21.7",
+    "systeminformation": "^5.23.8",
     "use-context-selector": "^1.4.0",
     "use-debounce": "^8.0.1",
     "uuid": "^8.3.2",