This package provides a simple way to download pre-trained models from the internet to use in your Comfy projects.
To install the package, you can use pip:
Testing version:
pip install -i https://test.pypi.org/simple/ comfy-model-download
Add next two lines to your requirements.txt file for the testing version:
--index-url https://test.pypi.org/simple/
comfy_model_download
It needed to provide a yaml file with the models to download and the path to save them. The package will download the models in parallel using the number of workers specified.
If the model must be download from GCS it is needed to provide a key file.
from comfy_model_download import ModelDownload
download = ModelDownload(
config_file="models_config.yaml",
max_workers=2,
model_path="path/to/save/models",
key_file="path/to/key/file",
)
download.start()
The models.yaml file should be in the root of the project and should have the following structure:
models:
checkpoints:
- name: JuggernautXL.safetensors
url: gs://example_gcs_bucket/JuggernautXL.safetensors
#force_download: true
- name: AnimateLCM_sd15_t2v_lora.safetensors
url: gs://example_gcs_bucket/AnimateLCM_sd15_t2v_lora.safetensors
ipadapter:
- name: ip-adapter-plus_sd15.safetensors
url: gs://example_gcs_bucket/ip-adapter-plus_sd15.safetensors
animatediff_models:
- name: AnimateLCM_sd15_t2v.ckpt
url: gs://example_gcs_bucket/AnimateLCM_sd15_t2v.ckpt
...
If the model is already downloaded and you want to force the download, you can use the force_download
key.
The models can be downloaded from GCS or from the internet via HTTP.
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