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Create app.py
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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/cagliostrolab/animagine-xl-3.1"
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 = """
body {
background-color: #fafafa !important;
}
.title {
font-size: 1em !important;
text-align: center;
color: #333;
font-family: 'Helvetica Neue', sans-serif;
text-transform: uppercase;
letter-spacing: 0.1em;
padding: 0.5em 0;
background: transparent;
}
.title span {
background: -webkit-linear-gradient(45deg, #7ed56f, #28b485);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
font-size: 2.5em;
}
.primary.svelte-cmf5ev {
background: -webkit-linear-gradient(45deg, #7ed56f, #28b485) !important;
}
.svelte-15lo0d8 {
flex-direction: column !important;
}
"""
with gr.Blocks(css=css) as Animagine:
gr.HTML(
"""
<div style="text-align: center; margin: 0 auto;">
<div style="display: inline-flex; align-items: center; gap: 0.8rem;">
<h1 class="title">
<span>Animagine XL 3.1</span>
</h1>
</div>
</div>
"""
)
with gr.Row():
with gr.Column(elem_id="prompt-container"):
text_prompt = gr.Textbox(label="Prompt", value="1girl, c.c., code geass, white shirt, long sleeves, turtleneck, sitting, looking at viewer, eating, pizza, plate, fork, knife, table, chair, table, restaurant, cinematic angle, cinematic lighting, masterpiece, best quality", placeholder="a cute cat", lines=1, elem_id="prompt-text-input")
negative_prompt = gr.Textbox(label="Negative Prompt", value="nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, ", lines=1, elem_id="negative-prompt-text-input")
text_button = gr.Button("Generate", variant='primary', elem_id="gen-button")
image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery")
text_button.click(query, inputs=[text_prompt, negative_prompt], outputs=image_output)
Animagine.launch(show_api=False)