EasyCascadeKsampler

Documentation

• Class name: easy cascadeKSampler
• Category: EasyUse/Sampler
• Output node: True

The easy cascadeKSampler node facilitates the application of a cascading sampling process, simplifying the integration and execution of multiple sampling stages within a single workflow. This node is designed to streamline complex sampling operations, making it easier for users to apply advanced sampling techniques with minimal configuration.

Input types

Required

• pipe
  • Specifies the pipeline configuration for the cascading sampling process, indicating the sequence of operations and transformations to be applied.
  • Comfy dtype: PIPE_LINE
  • Python dtype: str
• image_output
  • Determines the output format for the images generated by the sampling process, including options for hiding, previewing, saving, or a combination of these actions.
  • Comfy dtype: COMBO[STRING]
  • Python dtype: str
• link_id
  • A unique identifier used to link the output of the sampling process with other processes or storage locations.
  • Comfy dtype: INT
  • Python dtype: int
• save_prefix
  • A prefix added to the filenames of saved images, allowing for organized storage and easy retrieval.
  • Comfy dtype: STRING
  • Python dtype: str

Optional

• model_c
  • An optional parameter allowing the specification of a custom model configuration for the sampling process, providing flexibility in choosing different generative models.
  • Comfy dtype: MODEL
  • Python dtype: str

Output types

• pipe
  • Comfy dtype: PIPE_LINE
  • Outputs the modified pipeline configuration after the cascading sampling process, reflecting the applied transformations and operations.
  • Python dtype: str
• image
  • Comfy dtype: IMAGE
  • Provides the images resulting from the cascading sampling process, which can be used for further processing or analysis.
  • Python dtype: str

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class samplerCascadeSimple:

    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(cls):
        return {"required":
                {"pipe": ("PIPE_LINE",),
                 "image_output": (["Hide", "Preview", "Save", "Hide&Save", "Sender", "Sender&Save"], {"default": "Preview"}),
                 "link_id": ("INT", {"default": 0, "min": 0, "max": sys.maxsize, "step": 1}),
                 "save_prefix": ("STRING", {"default": "ComfyUI"}),
                 },
                "optional": {
                    "model_c": ("MODEL",),
                },
                "hidden":
                  {"tile_size": "INT", "prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO", "my_unique_id": "UNIQUE_ID",
                    "embeddingsList": (folder_paths.get_filename_list("embeddings"),)
                  }
                }


    RETURN_TYPES = ("PIPE_LINE", "IMAGE",)
    RETURN_NAMES = ("pipe", "image",)
    OUTPUT_NODE = True
    FUNCTION = "run"
    CATEGORY = "EasyUse/Sampler"

    def run(self, pipe, image_output, link_id, save_prefix, model_c=None, tile_size=None, prompt=None, extra_pnginfo=None, my_unique_id=None, force_full_denoise=False, disable_noise=False):

        return samplerCascadeFull().run(pipe, None, None,None, None,None,None,None, image_output, link_id, save_prefix,
                               None, None, None, model_c, tile_size, prompt, extra_pnginfo, my_unique_id, force_full_denoise, disable_noise)