This is the source code for a RunPod Serverless worker that uses the Automatic1111 Stable Diffusion API for inference.
Important
A1111 1.9.0 API format has changed dramatically and is not
backwards compatible. You will need to ensure that you check
out the 2.5.0
release of this worker if you require backwards
compatibility, and also ensure that you are using A1111 1.8.0
and not version 1.9.0.
The model(s) for inference will be loaded from a RunPod Network Volume.
This worker includes the following A1111 extensions:
- Install Automatic1111 Web UI on your Network Volume
- Building the Docker image
- Deploying on RunPod Serveless
- Frequently Asked Questions
You can send requests to your RunPod API Endpoint using the /run
or /runsync
endpoints.
Requests sent to the /run
endpoint will be handled asynchronously,
and are non-blocking operations. Your first response status will always
be IN_QUEUE
. You need to send subsequent requests to the /status
endpoint to get further status updates, and eventually the COMPLETED
status will be returned if your request is successful.
Requests sent to the /runsync
endpoint will be handled synchronously
and are blocking operations. If they are processed by a worker within
90 seconds, the result will be returned in the response, but if
the processing time exceeds 90 seconds, you will need to handle the
response and request status updates from the /status
endpoint until
you receive the COMPLETED
status which indicates that your request
was successful.
- Get ControlNet Models
- Get Embeddings
- Get Extensions
- Get Face Restorers
- Get Hypernetworks
- Get Loras
- Get Latent Upscale Modes
- Get Memory
- Get Models
- Get Options
- Get Prompt Styles
- Get Real-ESRGAN Models
- Get Samplers
- Get Schedulers
- Get Script Info
- Get Scripts
- Get Upscalers
- Get VAE
- Image to Image
- Image to Image with ControlNet
- Interrogate
- Refresh Checkpoints
- Refresh Embeddings
- Refresh Loras
- Refresh VAE
- Set Model
- Set VAE
- Text to Image
- Text to Image with ReActor
- Text to Image with ADetailer
- Text to Image with InstantID
You can optionally Enable a Webhook.
Status | Description |
---|---|
IN_QUEUE | Request is in the queue waiting to be picked up by a worker. You can call the /status endpoint to check for status updates. |
IN_PROGRESS | Request is currently being processed by a worker. You can call the /status endpoint to check for status updates. |
FAILED | The request failed, most likely due to encountering an error. |
CANCELLED | The request was cancelled. This usually happens when you call the /cancel endpoint to cancel the request. |
TIMED_OUT | The request timed out. This usually happens when your handler throws some kind of exception that does return a valid response. |
COMPLETED | The request completed successfully and the output is available in the output field of the response. |
The serverless handler (rp_handler.py
) is a Python script that handles
the API requests to your Endpoint using the runpod
Python library. It defines a function handler(event)
that takes an
API request (event), runs the inference using the model(s) from your
Network Volume with the input
, and returns the output
in the JSON response.
- Postman Collection for this Worker
- Generative Labs YouTube Tutorials
- Getting Started With RunPod Serverless
- Serverless | Create a Custom Basic API
Pull requests and issues on GitHub are welcome. Bug fixes and new features are encouraged.