/metadata-linked-nodes

Metadata nodes for InvokeAI

Primary LanguagePythonMIT LicenseMIT

metadata-linked-nodes for InvokeAI

Discord Link :- metadata-linked-nodes

A set of InvokeAI nodes for Metadata. Collect Metadata from with an workflow. Extract metadata from an image.

  • Metadata Item Linked - Allows collecting of metadata while within iterate nodes with no need for collect nodes or conversion to metadata.

  • Metadata From Image - Provides Metadata from an image.

  • Metadata To String - Extracts a String value of a label from metadata.

  • Metadata To Integer - Extracts an Integer value of a label from metadata.

  • Metadata To Float - Extracts a Float value of a label from metadata.

  • Metadata To Scheduler - Extracts a Scheduler value of a label from metadata.

  • Metadata To Bool - Extracts Bool types from metadata

  • Metadata To Model - Extracts model types from metadata.

  • Metadata To SDXL Model - Extracts SDXL model types from metadata

  • Metadata To LoRAs - Extracts Loras from metadata.

  • Metadata To SDXL LoRAs - Extracts SDXL Loras from metadata

  • Metadata To ControlNets - Extracts ControNets from metadata

  • Metadata To IP-Adapters - Extracts IP-Adapters from metadata

  • Metadata To T2I-Adapters - Extracts T2I-Adapters from metadata

  • Denoise Latents + Metadata - This is an inherited version of the existing Denoise Latents node but with a metadata input and output. This will work in conjunction with the metadata-linked node. It will provide metadata for most of the normal fields so you will only really need external metadata nodes for prompts and VAE. The following labels will be gathered from the denoise node:

    • seed
    • width
    • height
    • steps
    • cfg_scale
    • cfg_rescale
    • denoise_start
    • denoise_end
    • scheduler
    • model
    • controlnets
    • ipAdapters
    • t2iAdapters
    • loras

  • Flux Denoise + metadata - This follows the same idea as the SD/SDXL denoise latents node.

    • seed
    • width
    • height
    • steps
    • guideance
    • denoise_start
    • denoise_end
    • model
    • loras

  • added cfg_rescale_multiplier, model, VAE, seamless_x and seemless_y as built-in labels for the metadata_linked node.

Usage

Install

There are two options to install the nodes:

  1. Recommended: Git clone into the invokeai/nodes directory. This allows updating via git pull.

    • In the InvokeAI nodes folder, run:

      For Latest Invoke (4.2.5+):

      git clone https://github.com/skunkworxdark/metadata-linked-nodes.git

      For older Invoke compatible versions see available tags e.g for invoke v3.5-3.7 use tag invoke-3.7:

      git clone https://github.com/skunkworxdark/metadata-linked-nodes/tree/invoke-3.7

  2. Manually download metadata_linked.py & init.py then place them in a subfolder under invokeai/nodes.

Update

Run a git pull from the metadata-linked-nodes folder.

Or run update.bat(windows) or update.sh(Linux).

For manual installs, download and replace the files.

Remove

Delete the metadata-linked-nodes folder. Or rename it to _metadata-linked-nodes so InvokeAI will ignore it.

ToDo

  • Add more metadata types
  • More example workflows

Example Usage

metadata_from_image_workflow.json workflow

metadata_from_image_workflow_sdxl workflow

metadata_Item_linked_workflow.json workflow

Denoise Latents + Metadata Example Workflow