Nodes/RES4LYF/ReSDPatcher
ComfyUI Node Runs on cloud

ReSDPatcher

Enable RES4LYF's style engine on your model at high precision

By ClownsharkBatwing·Created 2 years ago·Updated 17 days ago· 1,222
ReSDPatcher
  • model
  • model
style_dtypefloat64
enabletrue

ReSDPatcher is a model patcher - you pass your model through it and it comes out the other side with RES4LYF's machinery attached. It's one of the "Re…Patcher" family in the pack (ReFluxPatcher, ReWanPatcher and friends), each written to hook a particular model architecture so the pack's style-transfer and advanced sampling features have somewhere to grab on. If you're doing style transfer or unsampling with RES4LYF, a patcher like this is often the piece that makes the fancy nodes actually work.

The tell here is the style_dtype control defaulting to float64. RES4LYF runs a lot of its heavy lifting in double precision - its high-order solvers and its style operations both care about numerical accuracy, and fp64 is the pack's recurring theme (you'll see the same float64 default on LayerPatcher and the FP64 conditioning node). This patcher lets you set the precision the style computations run at, trading VRAM and speed for accuracy.

How it works

It wraps the model with the pack's patch and exposes two knobs: whether the patch is on, and what dtype the style path computes in. Toggle it off and it becomes a passthrough, which is handy for A/B comparisons without rewiring your graph.

The inputs and outputs that matter

  • model (MODEL) - the model to patch. Wire your loader in here.
  • style_dtype (default float64; also default, bfloat16, float16, float32) - the precision the style operations run at. float64 is the accurate, heavier choice the pack defaults to; drop to float32 or a 16-bit type if you're tight on VRAM and can accept a little less precision.
  • enable (default true) - master on/off. Flip to false to bypass the patch entirely.

Output is the patched model (MODEL), which continues down your graph to the sampler and any style/guide nodes.

How to install it

Comes with RES4LYF. ComfyUI Manager: search RES4LYF, install, restart. Or:

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

Portable builds use the embedded pip. Restart, hard-refresh (F5).

Common issues

The precision setting is the thing to watch. float64 is exact but not free - some GPUs are dramatically slower at fp64, and you're spending memory for accuracy you may not visibly need, so if a style workflow crawls, dropping style_dtype to float32 is the first lever. Second, a patcher only helps if the rest of the chain expects it - this is one component of the pack's style/unsampling system, not a standalone quality button, so drop it into a workflow that's actually built around RES4LYF's guides and samplers rather than a stock KSampler graph. And match the patcher to your model: the "SD" family of patchers targets SD-style architectures, while Flux, WAN and the MMDiT models have their own patchers and style nodes in the pack. Wrong patcher for the architecture and it either no-ops or errors.

CategoryRES4LYF/model_patches

Inputs (3)

NameTypeDefaultDescription
modelMODEL
style_dtypeCOMBOfloat645 options: default, bfloat16, float16, float32, float64
enableBOOLEANtrue

Outputs (1)

NameTypeDescription
modelMODEL