From d62334eb9ee1307aee8815679c85e120f160e81a Mon Sep 17 00:00:00 2001 From: bymyself Date: Wed, 4 Mar 2026 22:28:45 +0000 Subject: [PATCH] Mark weight_dtype as advanced input in Load Diffusion Model node Mark the weight_dtype parameter in UNETLoader (Load Diffusion Model) as an advanced input to reduce UI complexity for new users. The parameter is now hidden behind an expandable Advanced section, matching the pattern used for other advanced inputs like device, tile_size, and overlap. Amp-Thread-ID: https://ampcode.com/threads/T-019cbaf1-d3c0-718e-a325-318baba86dec --- nodes.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nodes.py b/nodes.py index 5be9b16f9..ea8b4c399 100644 --- a/nodes.py +++ b/nodes.py @@ -951,7 +951,7 @@ class UNETLoader: @classmethod def INPUT_TYPES(s): return {"required": { "unet_name": (folder_paths.get_filename_list("diffusion_models"), ), - "weight_dtype": (["default", "fp8_e4m3fn", "fp8_e4m3fn_fast", "fp8_e5m2"],) + "weight_dtype": (["default", "fp8_e4m3fn", "fp8_e4m3fn_fast", "fp8_e5m2"], {"advanced": True}) }} RETURN_TYPES = ("MODEL",) FUNCTION = "load_unet"