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Merge pull request #319 from Rando717/dev

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move CFZ nodes into CFZ category
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patientx 2025-09-29 14:45:47 +03:00 committed by GitHub
commit 3fb3d22531
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4 changed files with 8 additions and 8 deletions
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6
cfz/nodes/CFZ-caching/cfz_caching_condition.py
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@ -45,7 +45,7 @@ class save_conditioning:
RETURN_TYPES = ("CONDITIONING",)
RETURN_NAMES = ("conditioning",)
FUNCTION = "save_conditioning"
CATEGORY = "CFZ Save-Load Conditioning"
CATEGORY = "CFZ/conditioning"
def save_conditioning(self, conditioning, cache_name):
"""Save conditioning to cache with custom name, supporting subdirectories"""
@ -148,7 +148,7 @@ class load_conditioning:
RETURN_TYPES = ("CONDITIONING",)
RETURN_NAMES = ("conditioning",)
FUNCTION = "load_conditioning"
CATEGORY = "CFZ Save-Load Conditioning"
CATEGORY = "CFZ/conditioning"
@classmethod
def get_cached_files(cls):
@ -271,7 +271,7 @@ class CFZ_PrintMarker:
RETURN_NAMES = ("output",)
OUTPUT_NODE = True
FUNCTION = "run"
CATEGORY = "CFZ Utils/Debug"
CATEGORY = "CFZ/utils/debug"
def run(self, message, timer_name="workflow_timer", is_start_point=False, is_end_point=False,
show_current_time=True, trigger=None, unique_id=None, extra_pnginfo=None):

2
cfz/nodes/cfz_cudnn.toggle.py
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@ -30,7 +30,7 @@ class CUDNNToggleAutoPassthrough:
RETURN_TYPES = ("MODEL", "CONDITIONING", "LATENT", "AUDIO", "IMAGE", "WANVIDEOMODEL", anyType, "BOOLEAN", "BOOLEAN")
RETURN_NAMES = ("model", "conditioning", "latent", "audio", "image", "wan_model", "any_output", "prev_cudnn", "prev_benchmark")
FUNCTION = "toggle"
CATEGORY = "utils"
CATEGORY = "CFZ/utils"
def toggle(self, enable_cudnn, cudnn_benchmark, any_input=None, wan_model=None, model=None, conditioning=None, latent=None, audio=None, image=None):
prev_cudnn = torch.backends.cudnn.enabled

6
cfz/nodes/cfz_patcher.py
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@ -247,7 +247,7 @@ class CheckpointLoaderQuantized2:
RETURN_TYPES = ("MODEL", "CLIP", "VAE")
FUNCTION = "load_quantized"
CATEGORY = "Loaders (Quantized)"
CATEGORY = "CFZ/loaders"
OUTPUT_NODE = False
def load_quantized(self, ckpt_name, enable_quant, use_asymmetric, quant_dtype,
@ -302,7 +302,7 @@ class ModelQuantizationPatcher:
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch_model"
CATEGORY = "Model Patching"
CATEGORY = "CFZ/model patches"
OUTPUT_NODE = False
def patch_model(self, model, use_asymmetric, quant_dtype, use_int8_matmul):
@ -347,7 +347,7 @@ class UNetQuantizationPatcher:
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch_unet"
CATEGORY = "Model Patching"
CATEGORY = "CFZ/model patches"
OUTPUT_NODE = False
def get_model_memory_usage(self, model, force_calculation=False):

2
cfz/nodes/cfz_vae_loader.py
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@ -15,7 +15,7 @@ class CFZVAELoader:
RETURN_TYPES = ("VAE",)
FUNCTION = "load_vae"
CATEGORY = "loaders"
CATEGORY = "CFZ/loaders"
TITLE = "CFZ VAE Loader"
def load_vae(self, vae_name, precision):