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Update readme to simplify .env.local setup

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Hayk Martiros 2022-12-18 22:23:23 -08:00 committed by GitHub
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@ -43,20 +43,10 @@ The `pages/api` directory is mapped to `/api/*`. Files in this directory are tre
To actually generate model outputs, we need a model backend that responds to inference requests via API. If you have a large GPU that can run stable diffusion in under five seconds, clone and run the instructions in the [inference server](https://github.com/hmartiro/riffusion-inference) to run the Flask app. To actually generate model outputs, we need a model backend that responds to inference requests via API. If you have a large GPU that can run stable diffusion in under five seconds, clone and run the instructions in the [inference server](https://github.com/hmartiro/riffusion-inference) to run the Flask app.
This app also has a configuration to run with [Baseten](https://www.baseten.co/) for auto-scaling and load balancing. To use BaseTen, you need an API key. You will need to add a `.env.local` file in the root of this repository specifying the URL of the inference server:
To configure these backends, add a `.env.local` file:
``` ```
# URL to your flask instance
RIFFUSION_FLASK_URL=http://127.0.0.1:3013/run_inference/ RIFFUSION_FLASK_URL=http://127.0.0.1:3013/run_inference/
# Whether to use baseten as the model backend
NEXT_PUBLIC_RIFFUSION_USE_BASETEN=false
# If using BaseTen, the URL and API key
RIFFUSION_BASETEN_URL=https://app.baseten.co/applications/XXX
RIFFUSION_BASETEN_API_KEY=XXX
``` ```
## Citation ## Citation