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import gradio as gr | |
import requests | |
import io | |
from PIL import Image | |
import os | |
API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0" | |
def query(payload): | |
auth_hf_api_token = os.environ.get("AUTH_HF_API_TOKEN") | |
authorization = "Bearer " + auth_hf_api_token | |
headers = {"Authorization": authorization} | |
response = requests.post(API_URL, headers=headers, json=payload) | |
return response.content | |
def genImage(character_name, description_of_the_character): | |
input = "Create a movie poster for " + character_name + ","description_of_the_character + ",Disney Pixar movie style" | |
image_bytes = query({ | |
"inputs": input, | |
}) | |
image = Image.open(io.BytesIO(image_bytes)) | |
return image | |
demo = gr.Interface(genImage, inputs=["text", "text"], outputs=["image"]) | |
demo.launch() |