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Endpoint for CentML

This guide helps you deploy a FLUX endpoint on CentML using a pre-built Docker image or by building and pushing your own.

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Docker Image

  • Use the pre-built image: vagias/base-api:v1.0
  • Alternatively, build your own image locally and push it to Docker Hub.

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Building the Image

  • For macOS
To build and push the image using buildx (for multi-platform support): 
docker buildx build --platform linux/amd64,linux/arm64 -t {docker-username}/flux-centml:v1.0 --push .
  • For Linux
To build and push the image: 
docker build -t {docker-username}/flux-centml:v1.0 --push .

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Deploying on CentML

  1. Log in to CentML Access the CentML dashboard at https://app.centml.com.
  2. Navigate to General Inference From the Home page, go to General Inference to set up the deployment.
  3. Fill in Deployment Details Provide the necessary details, including:
  • Docker image name
username/base-api # replace with your image
  • Tag (e.g., v1.0)
v1.0
  • Port number
8000
  • Health check path
/docs
  • Entry point arguments
python main.py
  • Your HF_TOKEN (Hugging Face API token) for authentication Example:
  1. Select Resource Size Choose the resource size based on your image generation speed requirements:
  • Small
  • Medium
  • Large
  1. Click Deploy
After deployment, you will receive an endpoint URL. Interacting with the Endpoint Once deployed, you can interact with the endpoint via:
  • curl commands
  • The included apps and examples
Use the provided URL to send requests and generate images with FLUX. This version adds clarity and a more polished flow. Let me know if you’d like to include more details or examples for interacting with the endpoint!