Distinct Seed and Seed64 input specs. numpy only supports 32 bit seeds

comfy/nodes/package_typing.py

@@ -65,6 +65,7 @@ InputTypeSpec = Union[IntSpec, FloatSpec, StringSpec, BooleanSpec, ChoiceSpec, N
 
 # numpy seeds must be between 0 and 2**32 - 1
 Seed = ("INT", {"default": 0, "min": 0, "max": 2**32 - 1})
+Seed64 = ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff})
 SeedSpec = tuple[Literal["INT"], TypedDict("SeedSpecOptions", {"default": Literal[0], "min": Literal[0], "max": Literal[4294967295]})]
 
 

comfy_extras/nodes/nodes_custom_sampler.py

@@ -8,7 +8,7 @@ from comfy.cmd import latent_preview
 import torch
 from comfy import utils
 from comfy import node_helpers
-from comfy.nodes.package_typing import Seed
+from comfy.nodes.package_typing import Seed, Seed64
 from comfy.samplers import KSAMPLER
 
 
@@ -459,7 +459,7 @@ class SamplerCustom:
         return {"required":
                     {"model": ("MODEL",),
                     "add_noise": ("BOOLEAN", {"default": True}),
-                    "noise_seed": Seed,
+                    "noise_seed": Seed64,
                     "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01}),
                     "positive": ("CONDITIONING", ),
                     "negative": ("CONDITIONING", ),
@@ -611,7 +611,7 @@ class RandomNoise(DisableNoise):
     @classmethod
     def INPUT_TYPES(s):
         return {"required":{
-                    "noise_seed": Seed,
+                    "noise_seed": Seed64,
                      }
                 }
 

comfy_extras/nodes/nodes_latent.py

@@ -3,7 +3,7 @@ import torch
 
 import comfy.utils
 from comfy.component_model.tensor_types import Latent
-from comfy.nodes.package_typing import Seed
+from comfy.nodes.package_typing import Seed, Seed64
 from .nodes_post_processing import gaussian_kernel
 
 
@@ -169,7 +169,7 @@ class LatentAddNoiseChannels:
             "required": {
                 "samples": ("LATENT",),
                 "std_dev": ("FLOAT", {"default": 0.1, "min": 0.0, "max": 1.0, "step": 0.01}),
-                "seed": Seed,
+                "seed": Seed64,
                 "slice_i": ("INT", {"default": 0, "min": -16, "max": 16}),
                 "slice_j": ("INT", {"default": 16, "min": -16, "max": 16}),
             }

tests/inference/workflows/audio-0.json

@@ -67,7 +67,7 @@
   },
   "21": {
     "inputs": {
-      "noise_seed": 600769511872395
+      "noise_seed": 872395
     },
     "class_type": "RandomNoise",
     "_meta": {

tests/inference/workflows/flux-0.json

@@ -29,7 +29,7 @@
   },
   "2": {
     "inputs": {
-      "noise_seed": 1038979118098399
+      "noise_seed": 1038979
     },
     "class_type": "RandomNoise",
     "_meta": {