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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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footer {visibility: hidden !important;} |
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""" |
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with gr.Blocks(css=css) as dalle: |
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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) |
