Stable Diffusion Google Colab FastAPI Server
Note: This is a pretty hacky server / client interface for generic Stable Diffusion pipelines using diffusers. It's not made for production use and hasn't really been optimized completely.
Installation
From pip:
pip install sd-server
From source:
git clone git@github.com:shyamsn97/stable-diffusion-server.git
cd stable-diffusion-server/
python setup.py install
Stable Diffusion Server + Client Interface -- Simple Usage
Here we create a simple server hosting the standard StableDiffusionPipeline. The client takes in **kwargs that should be the arguments passed into the __call__ function from the pipeline. For instance, the StableDiffusionPipeline __call__ method can be found: https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py#L185. host and port can be specified in the start method for generic hosting.
from sd_server import DiffusersServer, DiffusersClient
from diffusers import StableDiffusionPipeline
STABLE_DIFFUSION_PATH = "runwayml/stable-diffusion-v1-5" # this can be a local path
pipeline_kwargs = {
"revision":"fp16",
"torch_dtype":torch.float16
}
device = torch.device('cuda')
server = DiffusersServer.create(
pretrained_path = STABLE_DIFFUSION_PATH,
pipeline_cls = StableDiffusionPipeline,
pipeline_kwargs = pipeline_kwargs,
enable_attention_slicing = True,
device = device
)
url = server.start(host="127.0.0.1", port=8000) # url -- either remote or local
# on another host / terminal
client = DiffusersClient(url)
responses = client(prompt='a photo of an astronaut riding a horse on mars', num_images_per_prompt=4) # this should return a list of images
Serving from Google Colab
Using the server in Google Colab requires an ngrok account, and needs your ngrok auth token https://dashboard.ngrok.com/get-started/your-authtoken to be passed to the server. Note: Ngrok basically opens a tunnel from a dev machine to the cloud, which means its not really that secure, and should be used at your own risk. Read more here: https://stackoverflow.com/questions/36552950/is-ngrok-safe-to-use-or-can-it-be-compromised
NGROK_AUTH_KEY = "your auth key from https://dashboard.ngrok.com/get-started/your-authtoken"
... # imports from above
server = DiffusersServer.create(
pretrained_path = STABLE_DIFFUSION_PATH,
pipeline_cls = StableDiffusionPipeline,
pipeline_kwargs = pipeline_kwargs,
enable_attention_slicing = True,
device = device
)
url = server.start(ngrok_auth_token=NGROK_AUTH_KEY)
# on another host
client = DiffusersClient(url)
responses = client(prompt='a photo of an astronaut riding a horse on mars', num_images_per_prompt=4) # this should return a list of images
Metadata
Release files for sd-server 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| sd-server-0.1.0.tar.gz | 5.3 kB | Without provenance | Details for sd-server-0.1.0.tar.gz |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sd_server-0.1.0-py3.9.egg | Legacy Egg format | - | - | Details for sd_server-0.1.0-py3.9.egg |
| sd_server-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for sd_server-0.1.0-py3-none-any.whl |
Total release size: 20.2 kB
Release files / sd-server-0.1.0.tar.gz
| Download URL | sd-server-0.1.0.tar.gz |
|---|---|
| Size | 5.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d6a62d204249268f1b123a8a3b9b14bc90e67d92afe6ba1e5c180d21beb4b48a
|
|
BLAKE2b-256 checksum How to use checksums |
b4961ecf459dfc020301594a916f36c2aa486a8a655018734b51ea94f0cf478b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.15
|
Release files / sd_server-0.1.0-py3.9.egg
| Download URL | sd_server-0.1.0-py3.9.egg |
|---|---|
| Size | 9.0 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
3de39ee01a7e04863485488b3d865e9a458c88f4e17bfefea4e1139dc92df8c5
|
|
BLAKE2b-256 checksum How to use checksums |
7f5b377339ff5ceafd40b77bc699bf3b3dc285c7fb6c455edd0b753e99ccbb96
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.15
|
Release files / sd_server-0.1.0-py3-none-any.whl
| Download URL | sd_server-0.1.0-py3-none-any.whl |
|---|---|
| Size | 5.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fdc8780177c2292a6660a592656d386cde19ad112510e05a29c5a02f5806c707
|
|
BLAKE2b-256 checksum How to use checksums |
26109def98289c355a69fa8d7a4ceac153df60b1290886776136d4e6ebef06d6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.15
|
Security for sd-server 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.