Pipe Out

Documentation

• Class name: easy pipeOut
• Category: EasyUse/Pipe
• Output node: False

The pipeOut node is designed to process and output a modified pipeline configuration, focusing on integrating various components such as models, clips, and VAEs into a cohesive pipeline structure. It aims to facilitate the easy manipulation and output of pipeline configurations for further processing or use within a larger system.

Input types

Required

• pipe
  • The pipe parameter represents the pipeline configuration to be processed. It is essential for determining the structure and components of the pipeline that will be outputted.
  • Comfy dtype: PIPE_LINE
  • Python dtype: dict

Output types

• pipe
  • Comfy dtype: PIPE_LINE
  • The modified pipeline configuration after processing.
  • Python dtype: dict
• model
  • Comfy dtype: MODEL
  • The model component of the pipeline.
  • Python dtype: object
• pos
  • Comfy dtype: CONDITIONING
  • The positive conditioning component of the pipeline.
  • Python dtype: str
• neg
  • Comfy dtype: CONDITIONING
  • The negative conditioning component of the pipeline.
  • Python dtype: str
• latent
  • Comfy dtype: LATENT
  • The latent representation component of the pipeline.
  • Python dtype: object
• vae
  • Comfy dtype: VAE
  • The VAE component of the pipeline.
  • Python dtype: object
• clip
  • Comfy dtype: CLIP
  • The CLIP component of the pipeline.
  • Python dtype: object
• image
  • Comfy dtype: IMAGE
  • The image component of the pipeline.
  • Python dtype: object
• seed
  • Comfy dtype: INT
  • The seed used for random number generation in the pipeline.
  • Python dtype: int

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class pipeOut:
    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(s):
        return {
             "required": {
                "pipe": ("PIPE_LINE",),
            },
            "hidden": {"my_unique_id": "UNIQUE_ID"},
        }

    RETURN_TYPES = ("PIPE_LINE", "MODEL", "CONDITIONING", "CONDITIONING", "LATENT", "VAE", "CLIP", "IMAGE", "INT",)
    RETURN_NAMES = ("pipe", "model", "pos", "neg", "latent", "vae", "clip", "image", "seed",)
    FUNCTION = "flush"

    CATEGORY = "EasyUse/Pipe"

    def flush(self, pipe, my_unique_id=None):
        model = pipe.get("model")
        pos = pipe.get("positive")
        neg = pipe.get("negative")
        latent = pipe.get("samples")
        vae = pipe.get("vae")
        clip = pipe.get("clip")
        image = pipe.get("images")
        seed = pipe.get("seed")

        return pipe, model, pos, neg, latent, vae, clip, image, seed