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import streamlit as st |
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import os |
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hf_token = os.environ("API_TOKEN") |
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API_URL_FACE = "https://api-inference.huggingface.co/models/prompthero/linkedin-diffusion" |
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API_URL_PIX = "https://api-inference.huggingface.co/models/nerijs/pixel-art-xl" |
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API_URL_3D = "https://api-inference.huggingface.co/models/goofyai/3d_render_style_xl" |
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API_URL_REAL = "https://api-inference.huggingface.co/models/stablediffusionapi/realistic-vision-v51" |
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API_URL_DALLE = "https://api-inference.huggingface.co/models/openskyml/dalle-3-xl" |
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API_URL_INKPUNK = "https://api-inference.huggingface.co/models/Envvi/Inkpunk-Diffusion" |
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API_URL_DREAM = "https://api-inference.huggingface.co/models/Lykon/dreamshaper-xl-v2-turbo" |
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API_URL_COVER = "https://api-inference.huggingface.co/models/Norod78/sxl-laisha-magazine-cover-lora" |
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st.title("✨ Open Text2Image Models Leaderboard") |
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st.write("Choose one model to generate image and enter prompt") |
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model = st.selectbox( |
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'Model', |
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('Dall-e 3', 'Pixel', '3D Render', 'Realistic', 'Inkpunk', 'Dremscape', 'Magazine-cover', 'Faces') |
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) |
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prompt = st.text_area('Enter prompt') |
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button = st.button('Generate') |
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if model == 'Dall-e 3': |
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API_URL = API_URL_DALLE |
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elif model == 'Pixel': |
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API_URL = API_URL_PIX |
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elif model == '3D Render': |
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API_URL = API_URL_3D |
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elif model == 'Realistic': |
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API_URL = API_URL_REAL |
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elif model == 'Inkpunk': |
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API_URL = API_URL_INKPUNk |
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elif model == 'Dremscape': |
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API_URL = API_URL_DREAM |
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elif model == 'Magazine-cover': |
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API_URL = API_URL_COVER |
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elif model == 'Faces': |
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API_URL = API_URL_FACE |
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def query(payload): |
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response = requests.post(API_URL, headers=headers, json=payload) |
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return response.content |
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def generate_image(input_text): |
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image_bytes = query({ |
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"inputs": prompt, |
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}) |
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image = Image.open(io.BytesIO(image_bytes)) |
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return image |
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if button: |
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generated_image = generate_image(prompt) |
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st.image(generated_image, caption='Generated Image') |