Forge Stable Diffusion | RunPod Serverless Worker

This is the source code for a RunPod Serverless worker that uses the Forge Stable Diffusion API for inference.

Model

The model(s) for inference will be loaded from a RunPod Network Volume.

RunPod API Endpoint

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.

RunPod API Examples

A1111 APIs

• 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

Helper APIs

• File Download
• Huggingface Sync

Endpoint Status Codes

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.

Serverless Handler

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.