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diffuzers-0.3.5
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diffuzers
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | diffuzers-0.3.5 |
| نام | diffuzers |
| نسخه کتابخانه | 0.3.5 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Abhishek Thakur |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | https://github.com/abhishekkrthakur/diffuzers |
| آدرس اینترنتی | https://pypi.org/project/diffuzers/ |
| مجوز | - |
# diffuzers
A web ui and deployable API for [🤗 diffusers](https://github.com/huggingface/diffusers).
< under development, request features using issues, prs not accepted atm >
<a target="_blank" href="https://colab.research.google.com/github/abhishekkrthakur/diffuzers/blob/main/diffuzers.ipynb">
<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
</a>
<a href='https://diffuzers.readthedocs.io/en/latest/?badge=latest'>
<img src='https://readthedocs.org/projects/diffuzers/badge/?version=latest' alt='Documentation Status' />
</a>
If something doesnt work as expected, or if you need some features which are not available, then create request using [github issues](https://github.com/abhishekkrthakur/diffuzers/issues)
## Features available in the app:
- text to image
- image to image
- instruct pix2pix
- textual inversion
- inpainting
- outpainting (coming soon)
- image info
- stable diffusion upscaler
- gfpgan
- clip interrogator
- more coming soon!
## Features available in the api:
- text to image
- image to image
- instruct pix2pix
- textual inversion
- inpainting
- outpainting (via inpainting)
- more coming soon!
## Installation
To install bleeding edge version of diffuzers, clone the repo and install it using pip.
```bash
git clone https://github.com/abhishekkrthakur/diffuzers
cd diffuzers
pip install -e .
```
Installation using pip:
```bash
pip install diffuzers
```
## Usage
### Web App
To run the web app, run the following command:
```bash
diffuzers app
```
### API
To run the api, run the following command:
```bash
diffuzers api
```
Starting the API requires the following environment variables:
```
export X2IMG_MODEL=stabilityai/stable-diffusion-2-1
export DEVICE=cuda
```
If you want to use inpainting:
```
export INPAINTING_MODEL=stabilityai/stable-diffusion-2-inpainting
```
To use long prompt weighting, use:
```
export PIPELINE=lpw_stable_diffusion
```
If you have `OUTPUT_PATH` in environment variables, all generations will be saved in `OUTPUT_PATH`. You can also use other (or private) huggingface models. To use private models, you must login using `huggingface-cli login`.
API docs are available at `host:port/docs`. For example, with default settings, you can access docs at: `127.0.0.1:10000/docs`.
## All CLI Options for running the app:
```bash
❯ diffuzers app --help
usage: diffuzers <command> [<args>] app [-h] [--output OUTPUT] [--share] [--port PORT] [--host HOST]
[--device DEVICE] [--ngrok_key NGROK_KEY]
✨ Run diffuzers app
optional arguments:
-h, --help show this help message and exit
--output OUTPUT Output path is optional, but if provided, all generations will automatically be saved to this
path.
--share Share the app
--port PORT Port to run the app on
--host HOST Host to run the app on
--device DEVICE Device to use, e.g. cpu, cuda, cuda:0, mps (for m1 mac) etc.
--ngrok_key NGROK_KEY
Ngrok key to use for sharing the app. Only required if you want to share the app
```
## All CLI Options for running the api:
```bash
❯ diffuzers api --help
usage: diffuzers <command> [<args>] api [-h] [--output OUTPUT] [--port PORT] [--host HOST] [--device DEVICE]
[--workers WORKERS]
✨ Run diffuzers api
optional arguments:
-h, --help show this help message and exit
--output OUTPUT Output path is optional, but if provided, all generations will automatically be saved to this
path.
--port PORT Port to run the app on
--host HOST Host to run the app on
--device DEVICE Device to use, e.g. cpu, cuda, cuda:0, mps (for m1 mac) etc.
--workers WORKERS Number of workers to use
```
## Using private models from huggingface hub
If you want to use private models from huggingface hub, then you need to login using `huggingface-cli login` command.
Note: You can also save your generations directly to huggingface hub if your output path points to a huggingface hub dataset repo and you have access to push to that repository. Thus, you will end up saving a lot of disk space.
نیازمندی
| مقدار | نام |
|---|---|
| ==0.15.0 | accelerate |
| >=1.4.2 | basicsr |
| >=0.12.1 | diffusers |
| >=0.2.5 | facexlib |
| ==0.4.4 | fairscale |
| ==0.88.0 | fastapi |
| >=1.3.7 | gfpgan |
| >=0.11.1 | huggingface-hub |
| ==0.6.0 | loguru |
| ==2.9.1 | open-clip-torch |
| - | opencv-python |
| ==3.20 | protobuf |
| ==5.2.1 | pyngrok |
| ==0.0.5 | python-multipart |
| >=0.2.5 | realesrgan |
| ==1.16.0 | streamlit |
| ==0.9.0 | streamlit-drawable-canvas |
| ==0.0.3 | st-clickable-images |
| ==0.4.12 | timm |
| >=1.12.0 | torch |
| >=0.13.0 | torchvision |
| ==4.25.1 | transformers |
| ==0.15.0 | uvicorn |
| ~=22.0 | black |
| ==5.8.0 | isort |
| ==3.9.2 | flake8 |
| ==0.901 | mypy |
| - | recommonmark |
| ==3.1.2 | sphinx |
| - | sphinx-markdown-tables |
| ==0.4.3 | sphinx-rtd-theme |
| - | sphinx-copybutton |
| ~=22.0 | black |
| ==5.8.0 | isort |
| ==3.9.2 | flake8 |
| ==0.901 | mypy |
| - | pytest |
| - | pytest-cov |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl diffuzers-0.3.5:
pip install diffuzers-0.3.5.whl
نصب پکیج tar.gz diffuzers-0.3.5:
pip install diffuzers-0.3.5.tar.gz