Flux.1 [dev]

Deploy FLUX.1 [dev] image generation model on Koyeb’s high-performance cloud infrastructure.

With one click, get a dedicated GPU-powered inference endpoint ready to handle requests with built-in autoscaling and scale-to-zero.

Overview of FLUX.1 [dev]

Flux.1 [dev] is a state-of-the-art, open-source model featuring a 12-billion-parameter. Designed for advanced generative tasks, Flux.1 [dev] excels at creating high-quality images from detailed text descriptions, offering unparalleled capabilities in multimodal synthesis.

The default GPU for running this model is the Nvidia A100 instance type. You are free to adjust the GPU instance type to fit your workload requirements.

Quickstart

After you deploy the Flux.1 [dev] model, copy the Koyeb App public URL similar to https://<YOUR_DOMAIN_PREFIX>.koyeb.app and create a simple Python file with the following content to start interacting with the model.

import base64
from io import BytesIO

import httpx
from PIL import Image

KOYEB_URL = "https://<YOUR_DOMAIN_PREFIX>.koyeb.app"


def b64_to_pil(base64_string):
  """
  Convert a Base64 string to a PIL Image.
  :param base64_string: Base64 encoded image string
  :return: PIL Image object
  """
  # Remove the header if present
  if base64_string.startswith("data:image"):
      base64_string = base64_string.split(",")[1]

  # Decode the Base64 string
  image_data = base64.b64decode(base64_string)

  # Create a PIL Image from the decoded binary data
  return Image.open(BytesIO(image_data))


payload = {"prompt": "A cat holding a sign that says hello world"}

# Call the model precition endpoint
res = httpx.post(
  f"{KOYEB_URL}/predict",
  json=payload,
  timeout=60.0,
)

# Get the output image
res = res.json()
output = res.get("images")[0]

# Convert the base64 model output to an image and save it to disk
img = b64_to_pil(output)
img.save("output_image.jpg")

The snippet above showcases how to interact with the Flux.1 [dev] model to generate an image from a text prompt and save it to disk.

Take care to replace the KOYEB_URL value in the snippet with your Koyeb App public URL.

Executing the Python script generate an image and save it to disk.

python main.py