Images Masks MultiPipe (JPS)¶

Documentation¶

Class name: Images Masks MultiPipe (JPS)
Category: JPS Nodes/Pipes
Output node: False

The Images Masks MultiPipe node is designed to facilitate the processing and manipulation of images and masks within a pipeline, enabling operations such as generation, revision, and inpainting with the support of a model. It serves as a versatile component in workflows that require the handling of visual data and its associated masks, streamlining tasks that involve image generation, modification, and enhancement.

Input types¶

Required¶

Optional¶

generation_img
- Specifies the initial image for generation processes, setting the stage for subsequent image manipulations or enhancements.
- Comfy dtype: IMAGE
- Python dtype: IMAGE
generation_mask
- Defines the mask associated with the generation image, used for guiding or restricting certain operations within the image processing pipeline.
- Comfy dtype: MASK
- Python dtype: MASK
ipa1_img
- Represents the first image processed through an intermediate pipeline action, contributing to the multi-step image manipulation workflow.
- Comfy dtype: IMAGE
- Python dtype: IMAGE
ipa2_img
- Denotes the second image resulting from an intermediate pipeline action, furthering the progression of image processing tasks.
- Comfy dtype: IMAGE
- Python dtype: IMAGE
ipa1_mask
- Serves as the mask for the first intermediate pipeline action image, aiding in targeted image modifications or enhancements.
- Comfy dtype: MASK
- Python dtype: MASK
ipa2_mask
- Acts as the mask for the second intermediate pipeline action image, facilitating precise control over image alterations.
- Comfy dtype: MASK
- Python dtype: MASK
revision1_img
- Indicates the first revised image, showcasing the application of modifications or improvements post initial generation or processing.
- Comfy dtype: IMAGE
- Python dtype: IMAGE
revision2_img
- Signifies the second revised image, illustrating further adjustments or refinements made after the initial set of revisions.
- Comfy dtype: IMAGE
- Python dtype: IMAGE
inpaint_model
- Incorporates a model to support inpainting tasks, enabling the restoration or completion of images based on the provided masks.
- Comfy dtype: MODEL
- Python dtype: MODEL

Output types¶

generation_img
- Comfy dtype: IMAGE
- Outputs the generated image after processing through the pipeline.
- Python dtype: IMAGE
generation_mask
- Comfy dtype: MASK
- Outputs the mask associated with the generated image, reflecting any modifications or enhancements made.
- Python dtype: MASK
ipa1_img
- Comfy dtype: IMAGE
- Outputs the first intermediate processed image, after undergoing specific pipeline actions.
- Python dtype: IMAGE
ipa2_img
- Comfy dtype: IMAGE
- Outputs the second intermediate processed image, showcasing further processing steps.
- Python dtype: IMAGE
ipa1_mask
- Comfy dtype: MASK
- Outputs the mask for the first intermediate processed image, indicating areas of focus or restriction.
- Python dtype: MASK
ipa2_mask
- Comfy dtype: MASK
- Outputs the mask for the second intermediate processed image, guiding further image modifications.
- Python dtype: MASK
revision1_img
- Comfy dtype: IMAGE
- Outputs the first revised image, after applying modifications or enhancements.
- Python dtype: IMAGE
revision2_img
- Comfy dtype: IMAGE
- Outputs the second revised image, reflecting additional adjustments or refinements.
- Python dtype: IMAGE
inpaint_model
- Comfy dtype: MODEL
- Provides the model used for inpainting tasks, facilitating the restoration or completion of images.
- Python dtype: MODEL

Usage tips¶

Infra type: CPU
Common nodes: unknown

Source code¶

class Images_Masks_MultiPipe:

    CATEGORY = 'JPS Nodes/Pipes'
    RETURN_TYPES = ("IMAGE","MASK","IMAGE","IMAGE","MASK","MASK","IMAGE","IMAGE","MODEL",)
    RETURN_NAMES = ("generation_img","generation_mask","ipa1_img","ipa2_img","ipa1_mask","ipa2_mask","revision1_img","revision2_img","inpaint_model",)
    FUNCTION = "get_imagemask"

    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {},
            "optional": {
                "generation_img": ("IMAGE",),
                "generation_mask": ("MASK",),
                "ipa1_img": ("IMAGE",),
                "ipa2_img": ("IMAGE",),
                "ipa1_mask": ("MASK",),
                "ipa2_mask": ("MASK",),
                "revision1_img": ("IMAGE",),
                "revision2_img": ("IMAGE",),
                "inpaint_model": ("MODEL",),
            }
        }

    def get_imagemask(self,generation_img=None,generation_mask=None,ipa1_img=None,ipa2_img=None,ipa1_mask=None,ipa2_mask=None,revision1_img=None,revision2_img=None,inpaint_model=None,):

        return (generation_img,generation_mask,ipa1_img,ipa2_img,ipa1_mask,ipa2_mask,revision1_img,revision2_img,inpaint_model,)