82 lines
3.5 KiB
Python
82 lines
3.5 KiB
Python
# Copyright (c) 2024 Bytedance Ltd. and/or its affiliates
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import gradio as gr
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from .pipeline import RealCustomInferencePipeline
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def create_demo():
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pipeline = RealCustomInferencePipeline(
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unet_config="configs/realcustom_sigdino_highres.json",
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unet_checkpoint="ckpts/sdxl/unet/sdxl-unet.bin",
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realcustom_checkpoint="ckpts/realcustom/RealCustom_highres.pth",
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vae_config="ckpts/sdxl/vae/sdxl.json",
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vae_checkpoint="ckpts/sdxl/vae/sdxl-vae.pth",
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)
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badges_text = r"""
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<div style="text-align: center; display: flex; justify-content: left; gap: 5px;">
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<a href="https://corleone-huang.github.io/RealCustom_plus_plus/"><img alt="Build" src="https://img.shields.io/badge/Project%20Page-RealCustom-yellow"></a>
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<a href="https://arxiv.org/pdf/2408.09744?"><img alt="Build" src="https://img.shields.io/badge/arXiv%20paper-RealCustom-b31b1b.svg"></a>
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</div>
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""".strip()
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with gr.Blocks() as demo:
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gr.Markdown(f"# RealCustom")
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gr.Markdown(badges_text)
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with gr.Row():
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with gr.Column():
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prompt = gr.Textbox(label="Prompt", value="")
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target_phrase = gr.Textbox(label="Target Phrase", value="")
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with gr.Row():
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image_prompt = gr.Image(label="Ref Img", visible=True, interactive=True, type="pil")
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with gr.Row():
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with gr.Column():
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width = gr.Slider(512, 2048, 1024, step=16, label="Gneration Width")
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height = gr.Slider(512, 2048, 1024, step=16, label="Gneration Height")
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with gr.Accordion("Advanced Options", open=False):
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with gr.Row():
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guidance = gr.Slider(1.0, 15, 3.5, step=0.5, label="Guidance Scale", interactive=True)
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mask_scope = gr.Slider(0.05, 1.0, 0.2, step=0.05, label="Mask Scope", interactive=True)
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seed = gr.Number(0, label="Seed (-1 for random)")
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num = gr.Number(4, label="Generation Number")
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new_unet_local_path = gr.Textbox(label="New Unet Local Path", value="")
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new_realcustom_local_path = gr.Textbox(label="New RealCustom Local Path", value="")
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generate_btn = gr.Button("Generate")
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with gr.Column():
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output_image = gr.Image(label="Generated Image")
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output_mask = gr.Image(label="Guidance Mask")
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inputs = [
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prompt, image_prompt, target_phrase,
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height, width, guidance, seed, num,
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mask_scope,
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new_unet_local_path, new_realcustom_local_path,
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]
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generate_btn.click(
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fn=pipeline.generation,
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inputs=inputs,
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outputs=[output_image, output_mask],
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)
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return demo
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if __name__ == "__main__":
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demo = create_demo()
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demo.launch(server_name='0.0.0.0', server_port=7860) |