DetailerDebug (SEGS/pipe)

ImpactPack/Detailer

DetailerForEachDebugPipe

It enhances details by inpainting each region within the detected area bundle (SEGS) after enlarging them based on the guide size.

Example

JSON Example

{
  "class_type": "DetailerForEachDebugPipe",
  "inputs": {
    "image": [
      "node_id",
      0
    ],
    "segs": [
      "node_id",
      0
    ],
    "guide_size": 512,
    "guide_size_for": true,
    "max_size": 1024,
    "seed": 0,
    "steps": 20,
    "cfg": 8,
    "sampler_name": "euler",
    "scheduler": "simple",
    "denoise": 0.5,
    "feather": 5,
    "noise_mask": true,
    "force_inpaint": true,
    "basic_pipe": [
      "node_id",
      0
    ],
    "wildcard": "",
    "refiner_ratio": 0.2,
    "cycle": 1
  }
}

This example shows required inputs only. Connection values like ["node_id", 0] should reference actual node IDs from your workflow.

Inputs

Name	Type	Status	Constraints	Default
image	IMAGE	required	-	-
segs	SEGS	required	-	-
guide_size	FLOAT	required	min: 64, max: 16384, step: 8	512
guide_size_for	BOOLEAN	required	-	true
max_size	FLOAT	required	min: 64, max: 16384, step: 8	1024
seed	INT	required	min: 0, max: 1.84e+19	0
steps	INT	required	min: 1, max: 10000	20
cfg	FLOAT	required	min: 0, max: 100	8
sampler_name	ENUM 44 options euler euler_cfg_pp euler_ancestral euler_ancestral_cfg_pp heun heunpp2 exp_heun_2_x0 exp_heun_2_x0_sde dpm_2 dpm_2_ancestral lms dpm_fast dpm_adaptive dpmpp_2s_ancestral dpmpp_2s_ancestral_cfg_pp dpmpp_sde dpmpp_sde_gpu dpmpp_2m dpmpp_2m_cfg_pp dpmpp_2m_sde dpmpp_2m_sde_gpu dpmpp_2m_sde_heun dpmpp_2m_sde_heun_gpu dpmpp_3m_sde dpmpp_3m_sde_gpu ddpm lcm ipndm ipndm_v deis res_multistep res_multistep_cfg_pp res_multistep_ancestral res_multistep_ancestral_cfg_pp gradient_estimation gradient_estimation_cfg_pp er_sde seeds_2 seeds_3 sa_solver sa_solver_pece ddim uni_pc uni_pc_bh2	required	-	-
scheduler	ENUM 17 options simple sgm_uniform karras exponential ddim_uniform beta normal linear_quadratic kl_optimal AYS SDXL AYS SD1 AYS SVD GITS[coeff=1.2] LTXV[default] OSS FLUX OSS Wan OSS Chroma	required	-	-
denoise	FLOAT	required	min: 0.0001, max: 1, step: 0.01	0.5
feather	INT	required	min: 0, max: 100, step: 1	5
noise_mask	BOOLEAN	required	-	true
force_inpaint	BOOLEAN	required	-	true
basic_pipe?	BASIC_PIPE	required	-	-
wildcard	STRING	required	-	-
refiner_ratio	FLOAT	required	min: 0, max: 1	0.2
cycle	INT	required	min: 1, max: 10, step: 1	1
detailer_hook	DETAILER_HOOK	optional	-	-
refiner_basic_pipe_opt	BASIC_PIPE	optional	-	-
inpaint_model	BOOLEAN	optional	-	false
noise_mask_feather	INT	optional	min: 0, max: 100, step: 1	20
scheduler_func_opt	SCHEDULER_FUNC	optional	-	-
tiled_encode	BOOLEAN	optional	-	false
tiled_decode	BOOLEAN	optional	-	false

Outputs

Index	Name	Type	Is List	Connection Reference
0	image	IMAGE	No	["{node_id}", 0]
1	segs	SEGS	No	["{node_id}", 1]
2	basic_pipe	BASIC_PIPE	No	["{node_id}", 2]
3	cropped	IMAGE	Yes	["{node_id}", 3]
4	cropped_refined	IMAGE	Yes	["{node_id}", 4]
5	cropped_refined_alpha	IMAGE	Yes	["{node_id}", 5]
6	cnet_images	IMAGE	Yes	["{node_id}", 6]

How to connect to these outputs

To connect another node's input to an output from this node, use the connection reference format:

["node_id", output_index]

Where node_id is the ID of this DetailerForEachDebugPipe node in your workflow, and output_index is the index from the table above.

Example

If this node has ID "5" in your workflow:

• image (IMAGE): ["5", 0]
• segs (SEGS): ["5", 1]
• basic_pipe (BASIC_PIPE): ["5", 2]

Package: comfyui-impact-pack