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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:

4. Select Resource Size Choose the resource size based on your image generation speed requirements:

• Small
• Medium
• Large

5. 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!