Home

Awesome

ComfyUI-InstanceDiffusion

ComfyUI nodes to use InstanceDiffusion.

Original research repo: https://github.com/frank-xwang/InstanceDiffusion

Table of Contents

Installation

How to Install

Clone or download this repo into your ComfyUI/custom_nodes/ directory. There are no Python package requirements outside of the standard ComfyUI requirements at this time.

How to Configure Models

These models were trained by frank-xwang baked inside of StableDiffusion 1.5. These are spliced out into individual models to be used with other SD1.5 checkpoints. Download each of these checkpoints and place them into the Installation Directory within ComfyUI/models/instance_models/ directory.

Model NameURLInstallation Directory
fusers.ckpthuggingfaceinstance_models/fuser_models/
positionnet.ckpthuggingfaceinstance_models/positionnet_models/
scaleu.ckpthuggingfaceinstance_models/scaleu_models/

Accompanying Node Repos

Examples

Text2Vid example using Kijai's Spline Editor

spline_editor_instances

Vid2Vid examples

Example workflows can be found in the example_workflows/ directory.

https://github.com/logtd/ComfyUI-InstanceDiffusion/assets/160989552/ee42891a-cc38-421c-98bf-03a1be11d315

https://github.com/logtd/ComfyUI-InstanceDiffusion/assets/160989552/40038526-5850-4cb6-9658-c38c7e4b20f9

https://github.com/logtd/ComfyUI-InstanceDiffusion/assets/160989552/eae3520c-9a3d-4cde-b32f-1af9231ad2d4

https://github.com/logtd/ComfyUI-InstanceDiffusion/assets/160989552/85b7d9df-7f7e-43c7-b2fa-b14fd5ec5e6d

Unsupported Features

InstanceDiffusion supports a wide range of inputs. The inputs that do not have nodes that can convert their input into InstanceDiffusion:

Points, segments, and masks are planned todo after proper tracking for these input types is implemented in ComfyUI.

Acknowledgements