just drop this into custom_nodes folder root

beta_57_standalone.py

@@ -0,0 +1,52 @@
+import sys
+import torch
+import numpy
+import scipy.stats
+from comfy.samplers import SchedulerHandler, SCHEDULER_HANDLERS, SCHEDULER_NAMES
+
+MIN_FLOAT = -sys.float_info.max
+MAX_FLOAT = sys.float_info.max
+
+def beta_57_scheduler(model_sampling, steps, alpha=0.5, beta=0.7):
+    total_timesteps = (len(model_sampling.sigmas) - 1)
+    ts = 1 - numpy.linspace(0, 1, steps, endpoint=False)
+    ts = numpy.rint(scipy.stats.beta.ppf(ts, alpha, beta) * total_timesteps)
+
+    sigs = []
+    last_t = -1
+    for t in ts:
+        if t != last_t:
+            sigs += [float(model_sampling.sigmas[int(t)])]
+        last_t = t
+    sigs += [0.0]
+    return torch.FloatTensor(sigs)
+
+scheduler_name = "beta_57"
+if scheduler_name not in SCHEDULER_HANDLERS:
+    scheduler_handler = SchedulerHandler(handler=beta_57_scheduler, use_ms=True)
+    SCHEDULER_HANDLERS[scheduler_name] = scheduler_handler
+    if scheduler_name not in SCHEDULER_NAMES:
+        SCHEDULER_NAMES.append(scheduler_name)
+
+class StaticFloat:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "value": ("FLOAT", {"default": 1.0, "min": MIN_FLOAT, "max": MAX_FLOAT, "step": 0.01}),
+            },
+        }
+
+    RETURN_TYPES = ("FLOAT",)
+    CATEGORY = "utils/primitive"
+    FUNCTION = "set_float"
+
+    def set_float(self, value: float):
+        return (value,)
+
+NODE_CLASS_MAPPINGS = {
+    "StaticFloat": StaticFloat,
+}
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "StaticFloat": "Static Float Primitive",
+}