62865a941e2fc9287385d4385d1dd680ef33eaea
Why and what? When We upload images to S3, all is good, but will be nice to have the path of where our images were saved. With this, you can connect the `show text` node and easily check the path. So later you can use that path to know how to fetch your images.
ComfyS3: Amazon S3 Integration for ComfyUI
ComfyS3 seamlessly integrates with Amazon S3 in ComfyUI. This open-source project provides custom nodes for effortless loading and saving of images, videos, and checkpoint models directly from S3 buckets within the ComfyUI graph interface.
Installation
Using ComfyUI Manager:
- Look for
ComfyS3, and be sure the author isTemryL. Install it.
Manually:
- Clone this repo into
custom_nodesfolder in ComfyUI.
Define S3 Config
Create .env file in ComfyS3 root folder with the following variables:
S3_REGION = "..."
S3_ACCESS_KEY = "..."
S3_SECRET_KEY = "..."
S3_BUCKET_NAME = "..."
S3_INPUT_DIR = "..."
S3_OUTPUT_DIR = "..."
Optional S3 Config Variables
S3_ENDPOINT_URLallows the useage of a AWS Private Link or Other S3 Compatible Storage Solutions
Available Features
ComfyUI nodes to:
- standalone download/upload file from/to Amazon S3
- load/save image from/to Amazon S3 buckets
- save VHS (VideoHelperSuite) video files to Amazon S3 buckets
- install ComfyS3 from ComfyUI-Manager
- load checkpoints from Amazon S3 buckets
- load video from Amazon S3 buckets
Credits
Languages
Python
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