Skip to main content

Civitai Comfy Nodes

Tired of manually downloading and moving models, LoRAs, and more to the right places?
Sick of scouring Civitai for that one mystical LoRA someone was using to make that cool image?
Want to be share a fully reproducable workflow?

This is the set of nodes for you!

Nodes

Checkpoint Loader

  • Load checkpoints directly from Civitai using just a Model AIR (model id or version id)
  • Resources used in images will be automatically detected on image upload
  • Workflows copied from Civitai or shared via image metadata will include everything needed to generate the image including all resources

LoRA Loader

  • Load LoRAs directly from Civitai using just a LoRA AIR (model id or version id)
  • Resources used in images will be automatically detected on image upload
  • Workflows copied from Civitai or shared via image metadata will include everything needed to generate the image including all resources

Embedding Loader (Coming Soon)

  • Automatically detect textual inversions in prompts using embedding:{air} and download all the files needed.
  • Resources used in images will be automatically detected on image upload
  • Workflows copied from Civitai or shared via image metadata will include everything needed to generate the image including all resources

AIR: AI Resource

An AIR is Civitai's way of universally referencing AI Resources. It follows the Uniform Resource Naming standard. If you're into that kinda thing, you can read more about it here.

On Civitai, to keep things brief, an AIR is a combination of model id and optionally at a specific model version. Ex. {model_id} or {model_id}@{version_id}.

Easy Copy AIRs

You can enable the display of AIRs on the site for easy copying from the Early Access settings of your Account Settings.

Examples

This example would get the base model Isabelle Fuhrman 109395 and request the LORA version isabellefuhrmanV02-000007.safetensors 84321

109395@84321

While using only the ID would fetch Isabelle Fuhrman 109395 and find it's default model (which is the top most model an author designates)

109395

Metadata

Release files for civitai_comfy_nodes 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for civitai_comfy_nodes 0.2.0
File Size Uploaded
civitai_comfy_nodes-0.2.0.tar.gz 11.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for civitai_comfy_nodes 0.2.0
File Interpreter ABI Platform
civitai_comfy_nodes-0.2.0-py2.py3-none-any.whl Python 2, Python 3 none any Details

Total release size: 25.2 kB

Release files / civitai_comfy_nodes-0.2.0.tar.gz

Download URL civitai_comfy_nodes-0.2.0.tar.gz
Size 11.6 kB
Tags Source
SHA-256 checksum
How to use checksums
1c8737d8b3b7f663dbf5e9b0bd8fed1c76b8474c0bf0237f115b57794e1b5558
BLAKE2b-256 checksum
How to use checksums
ee10e47b78190454b43cde51c3f037451e87129e6cac48b5bf98b93272bff33b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via python-httpx/0.25.0

Release files / civitai_comfy_nodes-0.2.0-py2.py3-none-any.whl

Download URL civitai_comfy_nodes-0.2.0-py2.py3-none-any.whl
Size 13.5 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
6daa4bce0e6e41035c206b2d373d51ddc23e896a89cd30e00659e4101333af07
BLAKE2b-256 checksum
How to use checksums
f39383bdc79eac31ae5c36740a93c3edb125d278299f8c0c840b3492af599d83
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via python-httpx/0.25.0

Release history Release notifications | RSS feed

This release

0.2.0 This release

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page