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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/openskyml/dalle-3-xl" |
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API_TOKEN = os.getenv("HF_READ_TOKEN") |
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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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image_bytes = requests.post(API_URL, headers=headers, json=payload).content |
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image = Image.open(io.BytesIO(image_bytes)) |
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return image |
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css = """ |
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""" |
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with gr.Blocks(css=css, theme="pseudolab/huggingface-korea-theme") as dalle: |
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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 |
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style=" |
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display: inline-flex; |
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align-items: center; |
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gap: 0.8rem; |
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font-size: 1.75rem; |
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" |
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> |
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<h1 style="font-weight: 900; margin-bottom: 7px;margin-top:5px"> |
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DALL•E 3 XL |
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</h1> |
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</div> |
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<p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;"> |
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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>. |
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</p> |
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</div> |
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""" |
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) |
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with gr.Row(): |
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image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery") |
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with gr.Column(elem_id="prompt-container"): |
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text_prompt = gr.Textbox(label="Prompt", placeholder="a cute cat", lines=1, elem_id="prompt-text-input") |
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text_button = gr.Button("Generate", variant='primary', elem_id="gen-button") |
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with gr.Accordion("Advanced settings", open=False): |
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negative_prompt = gr.Textbox(label="Negative Prompt", value="text, blurry, fuzziness", lines=1, elem_id="negative-prompt-text-input") |
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text_button.click(query, inputs=[text_prompt, negative_prompt], outputs=image_output) |
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dalle.launch(show_api=False) |
