Nodes/RES4LYF/ClownScheduler
ComfyUI Node Runs on cloud

ClownScheduler

A sigma schedule you can shape by hand

By ClownsharkBatwing·Created 2 years ago·Updated 18 days ago· 1,222
ClownScheduler
  • model
  • sigmas
pad_start_value0.00
start_value1.00
end_value1.00
pad_end_value0.00
schedulerbeta57
scheduler_start_step0
scheduler_end_step30
total_steps100
flip_schedulefalse

ClownScheduler is RES4LYF's flexible sigma-schedule builder. A scheduler decides how much noise comes off at each step - the curve of sigma values the sampler walks down - and this node lets you pick a base schedule (including the pack's signature beta57) and then reshape it: pad the ends, clamp the start and end values, run the schedule over only part of your step range, or flip it. Its output is a SIGMAS curve you feed into a sampler's sigmas input, which overrides that sampler's built-in scheduler.

You'd reach for it when the stock scheduler dropdown isn't giving you the control you want. On flow-matching models (Flux, Z-Image, Wan, Chroma), the shape of the sigma curve genuinely matters, and RES4LYF is where people go to tune it. ClownScheduler is the tuning surface.

How it works

Under the hood it generates a base schedule from your chosen scheduler across total_steps, then applies your start/end values and padding to sculpt it. The padding and windowing parameters are what set it apart from just picking "beta57" in a KSampler - they let you use a schedule for only part of the run, or splice a custom ramp onto its ends, which is handy for multi-stage and chained sampling.

The inputs that matter

  • scheduler (default beta57) - the base curve. beta57 is RES4LYF's most-borrowed component and a strong default on flow-matching models; the list also includes constant, simple, beta, linear_quadratic, and the rest.
  • start_value (default 1) and end_value (default 1) - clamp the schedule's endpoints. These scale where the curve begins and ends.
  • pad_start_value / pad_end_value (both default 0) - extra values spliced onto the ends, for stitching schedules together.
  • total_steps (default 100), scheduler_start_step (default 0), scheduler_end_step (default 30) - define the window the base schedule occupies. This is how you run a schedule over a sub-range rather than the whole thing.
  • flip_schedule (default false) - reverse the curve, which is what you need for unsampling.

The optional model input lets the node pull model-specific sigma info. The single output is sigmas (SIGMAS) → a sampler's sigmas input.

Installing it

ComfyUI Manager: search RES4LYF, install, restart. Manually:

cd custom_nodes
git clone https://github.com/ClownsharkBatwing/RES4LYF/
cd RES4LYF
pip install -r requirements.txt

pip install inside the venv (or portable Python), restart, hard-refresh F5. No downloads.

Common issues

The trap that eats the most time isn't in this node - it's the bong_tangent scheduler specifically, which applies its own sigma shift and ignores the shift set elsewhere in your workflow. If you're on bong_tangent and shift seems to do nothing, that's why; switch schedulers to confirm. More generally, RES4LYF hands you a lot of curve-shaping power with little guidance, so don't tune blind - pair this with the SigmasPreview node and actually look at the schedule you're building. A malformed curve (endpoints crossed, a too-narrow window) will produce ugly output that's hard to diagnose otherwise. And remember that feeding a sampler sigmas overrides its own scheduler and step count, so set the shape here, not in both places. If the node's missing, RES4LYF isn't installed.

CategoryRES4LYF/schedulers

Inputs (10)

NameTypeDefaultDescription
pad_start_valueFLOAT0.00-10000–10000
start_valueFLOAT1.00-10000–10000
end_valueFLOAT1.00-10000–10000
pad_end_valueFLOAT0.00-10000–10000
schedulerCOMBObeta5712 options: constant, simple, sgm_uniform, karras, exponential, ddim_uniform, +6
scheduler_start_stepINT00–10000
scheduler_end_stepINT30-1–10000
total_stepsINT100-1–10000
flip_scheduleBOOLEANfalse
modeloptMODEL

Outputs (1)

NameTypeDescription
sigmasSIGMAS