Example usage
The model accepts a prompt which is some text describing the image you want to generate. The output images tend to get better as you add more descriptive words to the prompt.
The output JSON object contains a key called data which represents the generated image as a base64 string.
import httpx
import os
import base64
from PIL import Image
from io import BytesIO
# Replace the empty string with your model id below
model_id = ""
baseten_api_key = os.environ["BASETEN_API_KEY"]
# Function used to convert a base64 string to a PIL image
def b64_to_pil(b64_str):
return Image.open(BytesIO(base64.b64decode(b64_str)))
data = {
"prompt": 'red velvet cake spelling out the words "FLUX SCHNELL", tasty, food photography, dynamic shot'
}
# Call model endpoint
res = httpx.post(
f"https://model-{model_id}.api.baseten.co/production/predict",
headers={"Authorization": f"Api-Key {baseten_api_key}"},
json=data
)
# Get output image
res = res.json()
output = res.get("data")
# Convert the base64 model output to an image
img = b64_to_pil(output)
img.save("output_image.jpg")
JSON output
{
"output": "iVBORw0KGgoAAAANSUhEUgAABAAAAAQACAIAAA..."
}
