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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 = """
"""
with gr.Blocks(css=css, theme="pseudolab/huggingface-korea-theme") as dalle:
gr.HTML(
"""
<div style="text-align: center; margin: 0 auto;">
<div
style="
display: inline-flex;
align-items: center;
gap: 0.8rem;
font-size: 1.75rem;
"
>
<h1 style="font-weight: 900; margin-bottom: 7px;margin-top:5px">
DALL•E 3 XL
</h1>
</div>
<p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;">
This space demonstrates the work of the model <a style="text-decoration: underline;" href="https://huggingface.co/openskyml/dalle-3-xl">openskyml/dalle-3-xl</a>.
</p>
</div>
"""
)
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) |