auto-diffusers 1.1.0

Customized diffusers with model search and other functions.

auto_diffusers

CONTENTS

• About The Project
• How to use
• Description
• License
• Acknowledgement

About The Project

Enhance the functionality of diffusers.

• Search models from huggingface and Civitai. (etc..)

How to use

pip install diffusers
pip install auto_diffusers

from diffusers import StableDiffusionPipeline
from auto_diffusers import run_search

model_path = run_search(<keyword>, auto=True, download=False)
pipe = StableDIffusionPipeline.from_single_file(model_path)

Description

Arguments of run_search

Name	Type	Default	Input Available	Description
search_word	string	ー	Details	Keywords to search models
auto	bool	True	ー	Minimize user input by selecting the highest-rated models.
download	bool	False	ー	Returns the path where the file was downloaded.
model_type	string	"Checkpoint"	1. Checkpoint 2. TextualInversion 3. Hypernetwork 4. AestheticGradient 5. LORA 6. Controlnet 7. Poses	Valid only in Civitai.
return_path	bool	True	ー	Returns only the path or [model_path, status_dict].
branch	string	"main"	ー	Specify the branches of huggingface and civitai.
local_file_only	bool	False	ー	Search local folders only.

search_word

Type	Description
keyword	Keywords to search model
url	Can be any URL other than huggingface or Civitai.
Local directory or file path	Search for files with the extensions: .safetensors, .ckpt, .bin
huggingface path	The following format: < creator > / < repo >

License

In accordance with BSD-3-Clause license

Acknowledgement

I have used open source resources and free tools in the creation of this project.

I would like to take this opportunity to thank the open source community and those who provided free tools.