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Update app.py
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app.py
CHANGED
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import numpy as np
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import gradio as gr
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import roop.globals
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from roop.core import (
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from roop.processors.frame.core import get_frame_processors_modules
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from roop.utilities import normalize_output_path
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import os
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from PIL import Image
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roop.globals.source_path = source_path
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roop.globals.target_path = target_path
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output_path = "output.jpg"
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roop.globals.output_path = normalize_output_path(
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roop.globals.source_path, roop.globals.target_path, output_path
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)
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if
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roop.globals.frame_processors = ["face_swapper", "face_enhancer"]
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else:
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roop.globals.frame_processors = ["face_swapper"]
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roop.globals.headless = True
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roop.globals.keep_fps = True
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roop.globals.keep_audio = True
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@@ -44,34 +47,38 @@ def swap_face(source_file, target_file, doFaceEnhancer):
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roop.globals.video_encoder = "libx264"
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roop.globals.video_quality = 18
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roop.globals.max_memory = suggest_max_memory()
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roop.globals.execution_providers = decode_execution_providers(["cuda"])
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roop.globals.execution_threads = suggest_execution_threads()
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)
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if not frame_processor.pre_check():
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return
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start()
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)
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import gradio as gr
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import roop.globals
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from roop.core import (
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)
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from roop.processors.frame.core import get_frame_processors_modules
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from roop.utilities import normalize_output_path
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from PIL import Image
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import io
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def process_face_swap(source_image, target_image, apply_face_enhancer):
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# Convert images to PIL Image objects and save them to in-memory file-like objects
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src_image_bytes = io.BytesIO()
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tgt_image_bytes = io.BytesIO()
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source_image.save(src_image_bytes, format='JPEG')
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target_image.save(tgt_image_bytes, format='JPEG')
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src_image_bytes.seek(0)
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tgt_image_bytes.seek(0)
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src_image_path = "source_image.jpg"
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tgt_image_path = "target_image.jpg"
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output_path = "result_image.jpg"
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with open(src_image_path, 'wb') as f:
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f.write(src_image_bytes.getvalue())
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with open(tgt_image_path, 'wb') as f:
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f.write(tgt_image_bytes.getvalue())
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# Set Roop configuration
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roop.globals.source_path = src_image_path
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roop.globals.target_path = tgt_image_path
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roop.globals.output_path = normalize_output_path(
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roop.globals.source_path, roop.globals.target_path, output_path
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)
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roop.globals.frame_processors = ["face_swapper", "face_enhancer"] if apply_face_enhancer else ["face_swapper"]
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roop.globals.headless = True
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roop.globals.keep_fps = True
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roop.globals.keep_audio = True
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roop.globals.video_encoder = "libx264"
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roop.globals.video_quality = 18
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roop.globals.max_memory = suggest_max_memory()
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roop.globals.execution_providers = decode_execution_providers(["cuda", "cpu"])
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roop.globals.execution_threads = suggest_execution_threads()
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# Print paths for debugging
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print(f"Starting the process with:")
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print(f"Source: {roop.globals.source_path}")
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print(f"Target: {roop.globals.target_path}")
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print(f"Output: {roop.globals.output_path}")
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# Execute face swap process
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for processor in get_frame_processors_modules(roop.globals.frame_processors):
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if not processor.pre_check():
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return
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start()
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# Load and return the output image
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with open(roop.globals.output_path, 'rb') as f:
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output_image = f.read()
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return output_image
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# Create Gradio interface
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iface = gr.Interface(
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fn=process_face_swap,
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inputs=[
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gr.Image(type="pil", label="Source Image"),
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gr.Image(type="pil", label="Target Image"),
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gr.Checkbox(label="Apply Face Enhancer")
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],
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outputs=gr.Image(type="pil"),
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description="Swap faces between two images. Use the face enhancer option to improve the result. Processing may take longer if you use Face Enhancer. Becose this Modle is running using CPU."
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)
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iface.launch()
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