Add Ideogram 4 Scheduler node with preconfigured presets.

This commit is contained in:
silveroxides 2026-06-10 21:24:30 +02:00
parent 039ed38ed1
commit 44596029a1

View File

@ -1,6 +1,7 @@
"""Ideogram 4 sampling helper
"""
import enum
import math
import torch
@ -10,6 +11,31 @@ from comfy_api.latest import ComfyExtension, io
_LOGSNR_MIN = -15.0
_LOGSNR_MAX = 18.0
class Ideogram4Enum(enum.Enum):
QUALITY = "Quality"
DEFAULT = "Default"
TURBO = "Turbo"
IDEOGRAM4_PRESET_CONFIGS = {
"Quality": {
"num_steps": 48,
"mu": 0.0,
"std": 1.5,
"preset_id": "V4_QUALITY_48"
},
"Default": {
"num_steps": 20,
"mu": 0.0,
"std": 1.75,
"preset_id": "V4_DEFAULT_20"
},
"Turbo": {
"num_steps": 12,
"mu": 0.5,
"std": 1.75,
"preset_id": "V4_TURBO_12"
}
}
def _logit_normal_schedule(u, mean, std):
# Reference time (0=noise..1=clean) via the probit/ndtri quantile.
@ -54,10 +80,40 @@ class Ideogram4Scheduler(io.ComfyNode):
return io.NodeOutput(ideogram4_sigmas(steps, width, height, mu, std))
class Ideogram4SchedulerPreset(Ideogram4Scheduler):
@classmethod
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="Ideogram4SchedulerPreset",
display_name="Ideogram 4 Scheduler (Presets)",
category="sampling/custom_sampling/schedulers",
inputs=[
io.Combo.Input("preset", options=[e.value for e in Ideogram4Enum], default=Ideogram4Enum.DEFAULT.value),
io.Int.Input("width", default=1024, min=256, max=8192, step=16),
io.Int.Input("height", default=1024, min=256, max=8192, step=16),
],
outputs=[io.Sigmas.Output()],
)
@classmethod
def execute(cls, preset, width, height) -> io.NodeOutput:
config = IDEOGRAM4_PRESET_CONFIGS.get(preset)
if not config:
raise ValueError(f"Invalid preset: {preset}")
return super().execute(
steps=config["num_steps"],
width=width,
height=height,
mu=config["mu"],
std=config["std"]
)
class Ideogram4Extension(ComfyExtension):
@override
async def get_node_list(self) -> list[type[io.ComfyNode]]:
return [Ideogram4Scheduler]
return [Ideogram4Scheduler, Ideogram4SchedulerPreset]
async def comfy_entrypoint() -> Ideogram4Extension: