File size: 2,209 Bytes
b1147dd b061d25 b1147dd b061d25 b1147dd b061d25 b1147dd b061d25 b1147dd b061d25 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 |
# -* coding:UTF-8 -*
# !/usr/bin/env python
import numpy as np
import gradio as gr
import roop.globals
from roop.core import (
start,
decode_execution_providers,
suggest_max_memory,
suggest_execution_threads,
)
from roop.processors.frame.core import get_frame_processors_modules
from roop.utilities import normalize_output_path
from PIL import Image
def swap_face(source_file, target_file, do_face_enhancer):
source_path = "input.jpg"
target_path = "target.jpg"
source_image = Image.fromarray(source_file)
source_image.save(source_path)
target_image = Image.fromarray(target_file)
target_image.save(target_path)
print("source_path: ", source_path)
print("target_path: ", target_path)
roop.globals.source_path = source_path
roop.globals.target_path = target_path
output_path = "output.jpg"
roop.globals.output_path = normalize_output_path(
roop.globals.source_path, roop.globals.target_path, output_path
)
if do_face_enhancer:
roop.globals.frame_processors = ["face_swapper", "face_enhancer"]
else:
roop.globals.frame_processors = ["face_swapper"]
roop.globals.headless = True
roop.globals.keep_fps = True
roop.globals.keep_audio = True
roop.globals.keep_frames = False
roop.globals.many_faces = False
roop.globals.video_encoder = "libx264"
roop.globals.video_quality = 18
roop.globals.max_memory = suggest_max_memory()
roop.globals.execution_providers = decode_execution_providers(["cuda"])
roop.globals.execution_threads = suggest_execution_threads()
print(
"start process",
roop.globals.source_path,
roop.globals.target_path,
roop.globals.output_path,
)
for frame_processor in get_frame_processors_modules(
roop.globals.frame_processors
):
if not frame_processor.pre_check():
return
start()
return output_path
app = gr.Interface(
fn=swap_face,
inputs=[
gr.Image(),
gr.Image(),
gr.Checkbox(label="Enable Face Enhancer", default=False, key="do_face_enhancer", info="Toggle face enhancer on/off")
],
outputs="image"
)
app.launch()
|