FromDetailer (SDXL/pipe)

Documentation

• Class name: FromDetailerPipeSDXL
• Category: ImpactPack/Pipe
• Output node: False

The FromDetailerPipeSDXL node is designed to extract and return various components from a detailer pipe, including models, clips, VAEs, conditioning elements, bounding box detectors, SAM models, segmentation detectors, and detailer hooks. It serves as a mechanism to decompose a complex detailer pipe into its constituent parts for further processing or analysis.

Input types

Required

• detailer_pipe
  • Represents the detailer pipe from which components are to be extracted. It is crucial for specifying the source of the data to be decomposed.
  • Comfy dtype: DETAILER_PIPE
  • Python dtype: Tuple[torch.nn.Module, torch.nn.Module, torch.nn.Module, str, str, str, torch.nn.Module, torch.nn.Module, torch.nn.Module, torch.nn.Module, torch.nn.Module, torch.nn.Module, str, str]

Output types

• detailer_pipe
  • Comfy dtype: DETAILER_PIPE
  • Returns the entire detailer pipe as received, allowing for further manipulation or analysis.
  • Python dtype: Tuple[torch.nn.Module, torch.nn.Module, torch.nn.Module, str, str, str, torch.nn.Module, torch.nn.Module, torch.nn.Module, torch.nn.Module, torch.nn.Module, torch.nn.Module, str, str]
• model
  • Comfy dtype: MODEL
  • Returns the model component extracted from the detailer pipe.
  • Python dtype: torch.nn.Module
• clip
  • Comfy dtype: CLIP
  • Returns the clip component extracted from the detailer pipe.
  • Python dtype: torch.nn.Module
• vae
  • Comfy dtype: VAE
  • Returns the VAE component extracted from the detailer pipe.
  • Python dtype: torch.nn.Module
• positive
  • Comfy dtype: CONDITIONING
  • Returns the positive conditioning element extracted from the detailer pipe.
  • Python dtype: str
• negative
  • Comfy dtype: CONDITIONING
  • Returns the negative conditioning element extracted from the detailer pipe.
  • Python dtype: str
• bbox_detector
  • Comfy dtype: BBOX_DETECTOR
  • Returns the bounding box detector component extracted from the detailer pipe.
  • Python dtype: torch.nn.Module
• sam_model_opt
  • Comfy dtype: SAM_MODEL
  • Returns the SAM model component extracted from the detailer pipe, if available.
  • Python dtype: torch.nn.Module
• segm_detector_opt
  • Comfy dtype: SEGM_DETECTOR
  • Returns the segmentation detector component extracted from the detailer pipe, if available.
  • Python dtype: torch.nn.Module
• detailer_hook
  • Comfy dtype: DETAILER_HOOK
  • Returns the detailer hook component extracted from the detailer pipe.
  • Python dtype: torch.nn.Module
• refiner_model
  • Comfy dtype: MODEL
  • Returns the refiner model component extracted from the detailer pipe.
  • Python dtype: torch.nn.Module
• refiner_clip
  • Comfy dtype: CLIP
  • Returns the refiner clip component extracted from the detailer pipe.
  • Python dtype: torch.nn.Module
• refiner_positive
  • Comfy dtype: CONDITIONING
  • Returns the refiner positive conditioning element extracted from the detailer pipe.
  • Python dtype: str
• refiner_negative
  • Comfy dtype: CONDITIONING
  • Returns the refiner negative conditioning element extracted from the detailer pipe.
  • Python dtype: str

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class FromDetailerPipe_SDXL:
    @classmethod
    def INPUT_TYPES(s):
        return {"required": {"detailer_pipe": ("DETAILER_PIPE",), }, }

    RETURN_TYPES = ("DETAILER_PIPE", "MODEL", "CLIP", "VAE", "CONDITIONING", "CONDITIONING", "BBOX_DETECTOR", "SAM_MODEL", "SEGM_DETECTOR", "DETAILER_HOOK", "MODEL", "CLIP", "CONDITIONING", "CONDITIONING")
    RETURN_NAMES = ("detailer_pipe", "model", "clip", "vae", "positive", "negative", "bbox_detector", "sam_model_opt", "segm_detector_opt", "detailer_hook", "refiner_model", "refiner_clip", "refiner_positive", "refiner_negative")
    FUNCTION = "doit"

    CATEGORY = "ImpactPack/Pipe"

    def doit(self, detailer_pipe):
        model, clip, vae, positive, negative, wildcard, bbox_detector, segm_detector_opt, sam_model_opt, detailer_hook, refiner_model, refiner_clip, refiner_positive, refiner_negative = detailer_pipe
        return detailer_pipe, model, clip, vae, positive, negative, bbox_detector, sam_model_opt, segm_detector_opt, detailer_hook, refiner_model, refiner_clip, refiner_positive, refiner_negative