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Delete app.py
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app.py
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import gradio as gr
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import requests
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import io
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import random
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import os
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from PIL import Image
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API_URL = "https://api-inference.huggingface.co/models/cagliostrolab/animagine-xl-3.1"
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API_TOKEN = os.getenv("HF_READ_TOKEN") # it is free
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headers = {"Authorization": f"Bearer {API_TOKEN}"}
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def query(prompt, is_negative=False, steps=1, cfg_scale=6, seed=None):
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payload = {
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"inputs": prompt,
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"is_negative": is_negative,
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"steps": steps,
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"cfg_scale": cfg_scale,
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"seed": seed if seed is not None else random.randint(-1, 2147483647)
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}
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try:
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response = requests.post(API_URL, headers=headers, json=payload)
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if response.status_code == 200:
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image_bytes = response.content
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image = Image.open(io.BytesIO(image_bytes))
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return image
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elif response.status_code == 502:
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return "Model is loading. Please wait and try again."
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elif response.status_code == 404:
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return "Model not found."
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else:
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return f"Unexpected error: {response.status_code}"
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except Exception as e:
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return f"An error occurred: {str(e)}"
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css = """
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body {
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background-color: #fafafa !important;
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}
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.title {
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font-size: 1em !important;
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text-align: center;
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color: #333;
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font-family: 'Helvetica Neue', sans-serif;
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text-transform: uppercase;
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letter-spacing: 0.1em;
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padding: 0.5em 0;
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background: transparent;
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}
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.title span {
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background: -webkit-linear-gradient(45deg, #7ed56f, #28b485);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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font-size: 2.5em;
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}
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.primary.svelte-cmf5ev {
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background: -webkit-linear-gradient(45deg, #7ed56f, #28b485) !important;
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}
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.svelte-15lo0d8 {
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flex-direction: column !important;
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}
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"""
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with gr.Blocks(css=css) as Animagine:
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gr.HTML(
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"""
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<div style="text-align: center; margin: 0 auto;">
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<div style="display: inline-flex; align-items: center; gap: 0.8rem;">
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<h1 class="title">
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<span>Animagine XL 3.1</span>
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</h1>
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</div>
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</div>
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"""
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)
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with gr.Row():
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with gr.Column(elem_id="prompt-container"):
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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")
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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")
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text_button = gr.Button("Generate", variant='primary', elem_id="gen-button")
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image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery")
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text_button.click(query, inputs=[text_prompt, negative_prompt], outputs=image_output)
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Animagine.launch(show_api=False)
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