Hi, Thanks for sharing this library for using stable diffusion.
There is one questions I want to ask.

Like title, Is it possible to inference using multiple GPUs? If possible, how?
do you share doc about inference using multiple GPUs?

OS: Linux Ubuntu 20.04
GPU: RTX 4090 (24GB) * n
RAM: 72GB
Python: 3.9.16

assume i have two stable diffusion models (model 1, model 2)
ex) GPU 1 - using model 1, GPU 2 - using model 2

or

assume i have two request, i want to process both request parallel (prompt 1, prompt 2)
ex) GPU 1 - processing prompt 1, GPU 2 - processing prompt 2

I think.. this question can be solved by using thread and two pipes like below.. right?

p_01 = StableDiffusionPipeline.from_pretrained(model_01).to("cuda:0")  
p_02 = StableDiffusionPipeline.from_pretrained(model_02).to("cuda:1")  

Thread(target=generate_pipe01, args=(prompt, negative_prompt)).start()  
Thread(target=generate_pipe02, args=(prompt, negative_prompt)).start()

I'll be waiting for your good opinions. Thank you.