Customized diffusers with model search and other functions.
Project description
auto_diffusers
CONTENTS
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.
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