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from __future__ import annotations |
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import gradio as gr |
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import torch |
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torch.jit.script = lambda f: f |
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import spaces |
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from app_depth import create_demo as create_demo_depth |
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from model import Model |
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from settings import ALLOW_CHANGING_BASE_MODEL, DEFAULT_MODEL_ID, SHOW_DUPLICATE_BUTTON |
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from transformers.utils.hub import move_cache |
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move_cache() |
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DESCRIPTION = "# ControlNet" |
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if not torch.cuda.is_available(): |
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DESCRIPTION += "\n<p>Running on CPU</p>" |
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model = Model(base_model_id=DEFAULT_MODEL_ID, task_name="depth") |
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with gr.Blocks(css="style.css") as demo: |
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gr.Markdown(DESCRIPTION) |
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gr.DuplicateButton( |
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value="Duplicate Space for private use", |
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elem_id="duplicate-button", |
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visible=SHOW_DUPLICATE_BUTTON, |
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) |
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with gr.Tabs(): |
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with gr.TabItem("Depth"): |
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create_demo_depth(model.process_depth) |
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with gr.Accordion(label="Base model", open=False): |
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with gr.Row(): |
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with gr.Column(scale=5): |
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current_base_model = gr.Text(label="Current base model") |
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with gr.Column(scale=1): |
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check_base_model_button = gr.Button("Check current base model") |
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with gr.Row(): |
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with gr.Column(scale=5): |
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new_base_model_id = gr.Text( |
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label="New base model", |
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max_lines=1, |
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placeholder="runwayml/stable-diffusion-v1-5", |
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info="The base model must be compatible with Stable Diffusion v1.5.", |
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interactive=ALLOW_CHANGING_BASE_MODEL, |
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) |
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with gr.Column(scale=1): |
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change_base_model_button = gr.Button( |
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"Change base model", interactive=ALLOW_CHANGING_BASE_MODEL |
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) |
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if not ALLOW_CHANGING_BASE_MODEL: |
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gr.Markdown( |
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"""The base model is not allowed to be changed in this Space so as not to slow down the demo, but it can be changed if you duplicate the Space.""" |
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) |
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check_base_model_button.click( |
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fn=lambda: model.base_model_id, |
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outputs=current_base_model, |
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queue=False, |
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api_name="check_base_model", |
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) |
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gr.on( |
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triggers=[new_base_model_id.submit, change_base_model_button.click], |
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fn=model.set_base_model, |
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inputs=new_base_model_id, |
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outputs=current_base_model, |
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api_name=False, |
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) |
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if __name__ == "__main__": |
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demo.queue(max_size=20).launch() |
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