--- orphan: true --- (serve-stable-diffusion-tutorial)= # Serve a Stable Diffusion Model This example runs a Stable Diffusion application with Ray Serve. To run this example, install the following: ```bash pip install "ray[serve]" requests torch diffusers==0.12.1 transformers ``` This example uses the [stabilityai/stable-diffusion-2](https://huggingface.co/stabilityai/stable-diffusion-2) model and [FastAPI](https://fastapi.tiangolo.com/) to build the example. Save the following code to a file named stable_diffusion.py. The Serve code is as follows: ```{literalinclude} ../doc_code/stable_diffusion.py :language: python :start-after: __example_code_start__ :end-before: __example_code_end__ ``` Use `serve run stable_diffusion:entrypoint` to start the Serve application. :::{note} The autoscaling config sets `min_replicas` to 0, which means the deployment starts with no `ObjectDetection` replicas. These replicas spawn only when a request arrives. When no requests arrive after a certain period of time, Serve downscales `ObjectDetection` back to 0 replica to save GPU resources. ::: You should see these messages in the output: ```text (ServeController pid=362, ip=10.0.44.233) INFO 2023-03-08 16:44:57,579 controller 362 http_state.py:129 - Starting HTTP proxy with name 'SERVE_CONTROLLER_ACTOR:SERVE_PROXY_ACTOR-7396d5a9efdb59ee01b7befba448433f6c6fc734cfa5421d415da1b3' on node '7396d5a9efdb59ee01b7befba448433f6c6fc734cfa5421d415da1b3' listening on '127.0.0.1:8000' (ServeController pid=362, ip=10.0.44.233) INFO 2023-03-08 16:44:57,588 controller 362 http_state.py:129 - Starting HTTP proxy with name 'SERVE_CONTROLLER_ACTOR:SERVE_PROXY_ACTOR-a30ea53938547e0bf88ce8672e578f0067be26a7e26d23465c46300b' on node 'a30ea53938547e0bf88ce8672e578f0067be26a7e26d23465c46300b' listening on '127.0.0.1:8000' (ProxyActor pid=439, ip=10.0.44.233) INFO: Started server process [439] (ProxyActor pid=5779) INFO: Started server process [5779] (ServeController pid=362, ip=10.0.44.233) INFO 2023-03-08 16:44:59,362 controller 362 deployment_state.py:1333 - Adding 1 replica to deployment 'APIIngress'. 2023-03-08 16:45:01,316 SUCC :93 -- Deployed Serve app successfully. ``` Use the following code to send requests: ```python import requests prompt = "a cute cat is dancing on the grass." input = "%20".join(prompt.split(" ")) resp = requests.get(f"http://127.0.0.1:8000/imagine?prompt={input}") with open("output.png", 'wb') as f: f.write(resp.content) ``` The app saves the `output.png` file locally. The following is an example of an output image. ![image](https://raw.githubusercontent.com/ray-project/images/master/docs/serve/stable_diffusion_output.png)