DetailerDebug (SEGS)¶
Documentation¶
- Class name:
DetailerForEachDebug
- Category:
ImpactPack/Detailer
- Output node:
False
The DetailerForEachDebug node is designed for debugging purposes within the ComfyUI Impact Pack. It extends the functionality of the DetailerForEach node by incorporating additional testing and debugging features to assist developers in identifying and resolving issues related to detail enhancement processes in images or segments.
Input types¶
Required¶
image
- unknown
- Comfy dtype:
IMAGE
- Python dtype:
unknown
segs
- Provides segmentation information for the images, used to guide the detailing process in a more targeted manner.
- Comfy dtype:
SEGS
- Python dtype:
List[SegmentationInfo]
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
wildcard
- unknown
- Comfy dtype:
STRING
- Python dtype:
unknown
cycle
- unknown
- Comfy dtype:
INT
- Python dtype:
unknown
Optional¶
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
scheduler_func_opt
- unknown
- Comfy dtype:
SCHEDULER_FUNC
- Python dtype:
unknown
Output types¶
image
- Comfy dtype:
IMAGE
- Returns the detailed image frames after the debugging process, showcasing the effects of the applied detailing enhancements.
- Python dtype:
List[Image]
- Comfy dtype:
cropped
- Comfy dtype:
IMAGE
- unknown
- Python dtype:
unknown
- Comfy dtype:
cropped_refined
- Comfy dtype:
IMAGE
- unknown
- Python dtype:
unknown
- Comfy dtype:
cropped_refined_alpha
- Comfy dtype:
IMAGE
- unknown
- Python dtype:
unknown
- Comfy dtype:
cnet_images
- Comfy dtype:
IMAGE
- unknown
- Python dtype:
unknown
- Comfy dtype:
Usage tips¶
- Infra type:
GPU
- Common nodes:
Source code¶
class DetailerForEachTest(DetailerForEach):
RETURN_TYPES = ("IMAGE", "IMAGE", "IMAGE", "IMAGE", "IMAGE")
RETURN_NAMES = ("image", "cropped", "cropped_refined", "cropped_refined_alpha", "cnet_images")
OUTPUT_IS_LIST = (False, True, True, True, True)
FUNCTION = "doit"
CATEGORY = "ImpactPack/Detailer"
def doit(self, image, segs, model, clip, vae, guide_size, guide_size_for, max_size, seed, steps, cfg, sampler_name,
scheduler, positive, negative, denoise, feather, noise_mask, force_inpaint, wildcard, detailer_hook=None,
cycle=1, inpaint_model=False, noise_mask_feather=0, scheduler_func_opt=None):
if len(image) > 1:
raise Exception('[Impact Pack] ERROR: DetailerForEach does not allow image batches.\nPlease refer to https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/batching-detailer.md for more information.')
enhanced_img, cropped, cropped_enhanced, cropped_enhanced_alpha, cnet_pil_list, new_segs = \
DetailerForEach.do_detail(image, segs, model, clip, vae, guide_size, guide_size_for, max_size, seed, steps,
cfg, sampler_name, scheduler, positive, negative, denoise, feather, noise_mask,
force_inpaint, wildcard, detailer_hook,
cycle=cycle, inpaint_model=inpaint_model, noise_mask_feather=noise_mask_feather, scheduler_func_opt=scheduler_func_opt)
# set fallback image
if len(cropped) == 0:
cropped = [empty_pil_tensor()]
if len(cropped_enhanced) == 0:
cropped_enhanced = [empty_pil_tensor()]
if len(cropped_enhanced_alpha) == 0:
cropped_enhanced_alpha = [empty_pil_tensor()]
if len(cnet_pil_list) == 0:
cnet_pil_list = [empty_pil_tensor()]
return enhanced_img, cropped, cropped_enhanced, cropped_enhanced_alpha, cnet_pil_list