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import os |
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import sys |
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os.system("git clone https://github.com/openai/CLIP") |
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os.system("git clone https://github.com/CompVis/taming-transformers.git") |
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os.system("git clone https://github.com/dribnet/pixray") |
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import gradio as gr |
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import torch |
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sys.path.append("pixray") |
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import pixray |
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def generate(prompt, quality, aspect): |
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torch.cuda.empty_cache() |
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pixray.reset_settings() |
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pixray.add_settings(prompts=prompt, |
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aspect=aspect, |
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quality=quality, |
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make_video=True) |
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settings = pixray.apply_settings() |
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pixray.do_init(settings) |
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pixray.do_run(settings) |
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return 'output.png', 'output.mp4' |
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prompt = gr.inputs.Textbox(default="Underwater city", label="Text Prompt") |
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quality = gr.inputs.Radio(choices=['draft', 'normal', 'better'], label="Quality") |
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aspect = gr.inputs.Radio(choices=['square', 'widescreen','portrait'], label="Size") |
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iface = gr.Interface(generate, inputs=[prompt, quality, aspect], outputs=['image', 'video'], enable_queue=True, live=False) |
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iface.launch(debug=False) |