import gradio as gr import requests import io import random import os from PIL import Image API_URL = "https://api-inference.huggingface.co/models/openskyml/dalle-3-xl" API_TOKEN = os.getenv("HF_READ_TOKEN") # it is free headers = {"Authorization": f"Bearer {API_TOKEN}"} def query(prompt, is_negative=False, steps=1, cfg_scale=6, seed=None): payload = { "inputs": prompt, "is_negative": is_negative, "steps": steps, "cfg_scale": cfg_scale, "seed": seed if seed is not None else random.randint(-1, 2147483647) } image_bytes = requests.post(API_URL, headers=headers, json=payload).content image = Image.open(io.BytesIO(image_bytes)) return image css = """ footer {visibility: hidden !important;} """ with gr.Blocks(css=css) as dalle: with gr.Row(): image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery") with gr.Column(elem_id="prompt-container"): text_prompt = gr.Textbox(label="Prompt", placeholder="a cute cat", lines=1, elem_id="prompt-text-input") text_button = gr.Button("Generate", variant='primary', elem_id="gen-button") with gr.Accordion("Advanced settings", open=False): negative_prompt = gr.Textbox(label="Negative Prompt", value="text, blurry, fuzziness", lines=1, elem_id="negative-prompt-text-input") text_button.click(query, inputs=[text_prompt, negative_prompt], outputs=image_output) dalle.launch(show_api=False)