FaceDetailer (AV)¶
Documentation¶
- Class name:
AV_FaceDetailer - Category:
ArtVenture/Detailer - Output node:
False
The AV_FaceDetailer node is designed to enhance facial details in images within the ArtVenture/Detailer category. It leverages advanced detailing techniques to refine facial features, offering an optional toggle to enable or disable this enhancement process.
Input types¶
Required¶
image- unknown
- Comfy dtype:
IMAGE - Python dtype:
unknown
model- unknown
- Comfy dtype:
MODEL - Python dtype:
unknown
clip- unknown
- Comfy dtype:
CLIP - Python dtype:
unknown
vae- unknown
- Comfy dtype:
VAE - Python dtype:
unknown
guide_size- unknown
- Comfy dtype:
FLOAT - Python dtype:
unknown
guide_size_for- unknown
- Comfy dtype:
BOOLEAN - Python dtype:
unknown
max_size- unknown
- Comfy dtype:
FLOAT - Python dtype:
unknown
seed- unknown
- Comfy dtype:
INT - Python dtype:
unknown
steps- unknown
- Comfy dtype:
INT - Python dtype:
unknown
cfg- unknown
- Comfy dtype:
FLOAT - Python dtype:
unknown
sampler_name- unknown
- Comfy dtype:
COMBO[STRING] - Python dtype:
unknown
scheduler- unknown
- Comfy dtype:
COMBO[STRING] - Python dtype:
unknown
positive- unknown
- Comfy dtype:
CONDITIONING - Python dtype:
unknown
negative- unknown
- Comfy dtype:
CONDITIONING - Python dtype:
unknown
denoise- unknown
- Comfy dtype:
FLOAT - Python dtype:
unknown
feather- unknown
- Comfy dtype:
INT - Python dtype:
unknown
noise_mask- unknown
- Comfy dtype:
BOOLEAN - Python dtype:
unknown
force_inpaint- unknown
- Comfy dtype:
BOOLEAN - Python dtype:
unknown
bbox_threshold- unknown
- Comfy dtype:
FLOAT - Python dtype:
unknown
bbox_dilation- unknown
- Comfy dtype:
INT - Python dtype:
unknown
bbox_crop_factor- unknown
- Comfy dtype:
FLOAT - Python dtype:
unknown
sam_detection_hint- unknown
- Comfy dtype:
COMBO[STRING] - Python dtype:
unknown
sam_dilation- unknown
- Comfy dtype:
INT - Python dtype:
unknown
sam_threshold- unknown
- Comfy dtype:
FLOAT - Python dtype:
unknown
sam_bbox_expansion- unknown
- Comfy dtype:
INT - Python dtype:
unknown
sam_mask_hint_threshold- unknown
- Comfy dtype:
FLOAT - Python dtype:
unknown
sam_mask_hint_use_negative- unknown
- Comfy dtype:
COMBO[STRING] - Python dtype:
unknown
drop_size- unknown
- Comfy dtype:
INT - Python dtype:
unknown
bbox_detector- unknown
- Comfy dtype:
BBOX_DETECTOR - Python dtype:
unknown
wildcard- unknown
- Comfy dtype:
STRING - Python dtype:
unknown
cycle- unknown
- Comfy dtype:
INT - Python dtype:
unknown
Optional¶
sam_model_opt- unknown
- Comfy dtype:
SAM_MODEL - Python dtype:
unknown
segm_detector_opt- unknown
- Comfy dtype:
SEGM_DETECTOR - Python dtype:
unknown
detailer_hook- unknown
- Comfy dtype:
DETAILER_HOOK - Python dtype:
unknown
inpaint_model- unknown
- Comfy dtype:
BOOLEAN - Python dtype:
unknown
noise_mask_feather- unknown
- Comfy dtype:
INT - Python dtype:
unknown
enabled- This parameter allows users to enable or disable the face detailing process, providing flexibility in how images are processed.
- Comfy dtype:
BOOLEAN - Python dtype:
bool
Output types¶
image- Comfy dtype:
IMAGE - unknown
- Python dtype:
unknown
- Comfy dtype:
cropped_refined- Comfy dtype:
IMAGE - unknown
- Python dtype:
unknown
- Comfy dtype:
cropped_enhanced_alpha- Comfy dtype:
IMAGE - unknown
- Python dtype:
unknown
- Comfy dtype:
mask- Comfy dtype:
MASK - unknown
- Python dtype:
unknown
- Comfy dtype:
detailer_pipe- Comfy dtype:
DETAILER_PIPE - unknown
- Python dtype:
unknown
- Comfy dtype:
cnet_images- Comfy dtype:
IMAGE - unknown
- Python dtype:
unknown
- Comfy dtype:
ui- The output includes the original image with facial details enhanced if enabled, along with additional processing information.
Usage tips¶
- Infra type:
CPU - Common nodes: unknown
Source code¶
class AV_FaceDetailer(FaceDetailer):
@classmethod
def INPUT_TYPES(s):
inputs = FaceDetailer.INPUT_TYPES()
inputs["optional"]["enabled"] = (
"BOOLEAN",
{"default": True, "label_on": "enabled", "label_off": "disabled"},
)
return inputs
CATEGORY = "ArtVenture/Detailer"
def args_to_pipe(self, args: dict):
hook_args = [
"model",
"clip",
"vae",
"positive",
"negative",
"wildcard",
"bbox_detector",
"segm_detector_opt",
"sam_model_opt",
"detailer_hook",
]
pipe_args = []
for arg in hook_args:
pipe_args.append(args.get(arg, None))
return tuple(pipe_args + [None, None, None, None])
def doit(self, image, *args, enabled=True, **kwargs):
if enabled:
return super().doit(image, *args, **kwargs)
else:
pipe = self.args_to_pipe(kwargs)
return (image, [], [], None, pipe, [])