import os, glob
import gradio as gr
from PIL import Image
from typing import List
import modules.scripts as scripts
from modules.upscaler import Upscaler, UpscalerData
from modules import scripts, shared, images, scripts_postprocessing, ui_components
from modules.processing import (
Processed,
StableDiffusionProcessing,
StableDiffusionProcessingImg2Img,
)
from modules.face_restoration import FaceRestoration
from modules.images import save_image
from reactor_ui import ui_main, ui_upscale, ui_tools, ui_settings
from scripts.reactor_logger import logger
from scripts.reactor_swapper import (
EnhancementOptions,
swap_face,
check_process_halt,
reset_messaged,
)
from scripts.reactor_version import version_flag, app_title
from scripts.console_log_patch import apply_logging_patch
from scripts.reactor_helpers import (
make_grid,
set_Device,
get_SDNEXT
)
from scripts.reactor_globals import SWAPPER_MODELS_PATH #, DEVICE, DEVICE_LIST
class FaceSwapScript(scripts.Script):
def title(self):
return f"{app_title}"
def show(self, is_img2img):
return scripts.AlwaysVisible
def ui(self, is_img2img):
with ui_components.InputAccordion(False, label=f"{app_title}") as enable:
# with gr.Accordion(f"{app_title}", open=False):
# def on_files_upload_uncheck_so(selected: bool):
# global SAVE_ORIGINAL
# SAVE_ORIGINAL = selected
# return gr.Checkbox.update(value=False,visible=False)
# def on_files_clear():
# clear_faces_list()
# return gr.Checkbox.update(value=SAVE_ORIGINAL,visible=True)
# SD.Next fix
if get_SDNEXT():
enable = gr.Checkbox(False, label="Enable")
# enable = gr.Checkbox(False, label="Enable", info=f"The Fast and Simple FaceSwap Extension - {version_flag}")
gr.Markdown(f"The Fast and Simple FaceSwap Extension - {version_flag}")
# TAB MAIN
msgs: dict = {
"extra_multiple_source": "",
}
img, imgs, select_source, face_model, source_folder, save_original, mask_face, source_faces_index, gender_source, faces_index, gender_target, face_restorer_name, face_restorer_visibility, codeformer_weight, swap_in_source, swap_in_generated = ui_main.show(is_img2img=is_img2img, **msgs)
# TAB UPSCALE
restore_first, upscaler_name, upscaler_scale, upscaler_visibility = ui_upscale.show()
# TAB TOOLS
ui_tools.show()
# TAB SETTINGS
model, device, console_logging_level, source_hash_check, target_hash_check = ui_settings.show()
gr.Markdown("by Eugene Gourieff")
return [
img,
enable,
source_faces_index,
faces_index,
model,
face_restorer_name,
face_restorer_visibility,
restore_first,
upscaler_name,
upscaler_scale,
upscaler_visibility,
swap_in_source,
swap_in_generated,
console_logging_level,
gender_source,
gender_target,
save_original,
codeformer_weight,
source_hash_check,
target_hash_check,
device,
mask_face,
select_source,
face_model,
source_folder,
imgs,
]
@property
def upscaler(self) -> UpscalerData:
for upscaler in shared.sd_upscalers:
if upscaler.name == self.upscaler_name:
return upscaler
return None
@property
def face_restorer(self) -> FaceRestoration:
for face_restorer in shared.face_restorers:
if face_restorer.name() == self.face_restorer_name:
return face_restorer
return None
@property
def enhancement_options(self) -> EnhancementOptions:
return EnhancementOptions(
do_restore_first = self.restore_first,
scale=self.upscaler_scale,
upscaler=self.upscaler,
face_restorer=self.face_restorer,
upscale_visibility=self.upscaler_visibility,
restorer_visibility=self.face_restorer_visibility,
codeformer_weight=self.codeformer_weight,
)
def process(
self,
p: StableDiffusionProcessing,
img,
enable,
source_faces_index,
faces_index,
model,
face_restorer_name,
face_restorer_visibility,
restore_first,
upscaler_name,
upscaler_scale,
upscaler_visibility,
swap_in_source,
swap_in_generated,
console_logging_level,
gender_source,
gender_target,
save_original,
codeformer_weight,
source_hash_check,
target_hash_check,
device,
mask_face,
select_source,
face_model,
source_folder,
imgs,
):
self.enable = enable
if self.enable:
logger.debug("*** Start process")
reset_messaged()
if check_process_halt():
return
global SWAPPER_MODELS_PATH
self.source = img
self.face_restorer_name = face_restorer_name
self.upscaler_scale = upscaler_scale
self.upscaler_visibility = upscaler_visibility
self.face_restorer_visibility = face_restorer_visibility
self.restore_first = restore_first
self.upscaler_name = upscaler_name
self.swap_in_source = swap_in_source
self.swap_in_generated = swap_in_generated
self.model = os.path.join(SWAPPER_MODELS_PATH,model)
self.console_logging_level = console_logging_level
self.gender_source = gender_source
self.gender_target = gender_target
self.save_original = save_original
self.codeformer_weight = codeformer_weight
self.source_hash_check = source_hash_check
self.target_hash_check = target_hash_check
self.device = device
self.mask_face = mask_face
self.select_source = select_source
self.face_model = face_model
self.source_folder = source_folder
self.source_imgs = imgs
if self.gender_source is None or self.gender_source == "No":
self.gender_source = 0
if self.gender_target is None or self.gender_target == "No":
self.gender_target = 0
self.source_faces_index = [
int(x) for x in source_faces_index.strip(",").split(",") if x.isnumeric()
]
self.faces_index = [
int(x) for x in faces_index.strip(",").split(",") if x.isnumeric()
]
if len(self.source_faces_index) == 0:
self.source_faces_index = [0]
if len(self.faces_index) == 0:
self.faces_index = [0]
if self.save_original is None:
self.save_original = False
if self.source_hash_check is None:
self.source_hash_check = True
if self.target_hash_check is None:
self.target_hash_check = False
if self.mask_face is None:
self.mask_face = False
logger.debug("*** Set Device")
set_Device(self.device)
if ((self.source is not None or self.source_imgs is not None) and self.select_source == 0) or ((self.face_model is not None and self.face_model != "None") and self.select_source == 1) or ((self.source_folder is not None and self.source_folder != "") and self.select_source == 2):
logger.debug("*** Log patch")
apply_logging_patch(console_logging_level)
if isinstance(p, StableDiffusionProcessingImg2Img) and self.swap_in_source:
logger.status("Working: source face index %s, target face index %s", self.source_faces_index, self.faces_index)
for i in range(len(p.init_images)):
if len(p.init_images) > 1:
logger.status("Swap in %s", i)
result, output, swapped = swap_face(
self.source,
p.init_images[i],
source_faces_index=self.source_faces_index,
faces_index=self.faces_index,
model=self.model,
enhancement_options=self.enhancement_options,
gender_source=self.gender_source,
gender_target=self.gender_target,
source_hash_check=self.source_hash_check,
target_hash_check=self.target_hash_check,
device=self.device,
mask_face=self.mask_face,
select_source=self.select_source,
face_model = self.face_model,
source_folder = None,
source_imgs = None,
)
p.init_images[i] = result
# result_path = get_image_path(p.init_images[i], p.outpath_samples, "", p.all_seeds[i], p.all_prompts[i], "txt", p=p, suffix="-swapped")
# if len(output) != 0:
# with open(result_path, 'w', encoding="utf8") as f:
# f.writelines(output)
if shared.state.interrupted or shared.state.skipped:
return
else:
logger.error("Please provide a source face")
return
def postprocess(self, p: StableDiffusionProcessing, processed: Processed, *args):
if self.enable:
logger.debug("*** Check postprocess")
reset_messaged()
if check_process_halt():
return
if self.save_original or ((self.select_source == 2 and self.source_folder is not None and self.source_folder != "") or (self.select_source == 0 and self.source_imgs is not None and self.source is None)):
postprocess_run: bool = True
orig_images : List[Image.Image] = processed.images[processed.index_of_first_image:]
orig_infotexts : List[str] = processed.infotexts[processed.index_of_first_image:]
result_images: List = processed.images
# result_info: List = processed.infotexts
if self.swap_in_generated:
logger.status("Working: source face index %s, target face index %s", self.source_faces_index, self.faces_index)
if self.source is not None:
# self.source_folder = None
self.source_imgs = None
for i,(img,info) in enumerate(zip(orig_images, orig_infotexts)):
if check_process_halt():
postprocess_run = False
break
if len(orig_images) > 1:
logger.status("Swap in %s", i)
result, output, swapped = swap_face(
self.source,
img,
source_faces_index=self.source_faces_index,
faces_index=self.faces_index,
model=self.model,
enhancement_options=self.enhancement_options,
gender_source=self.gender_source,
gender_target=self.gender_target,
source_hash_check=self.source_hash_check,
target_hash_check=self.target_hash_check,
device=self.device,
mask_face=self.mask_face,
select_source=self.select_source,
face_model = self.face_model,
source_folder = self.source_folder,
source_imgs = self.source_imgs,
)
if self.select_source == 2 or (self.select_source == 0 and self.source_imgs is not None and self.source is None):
if len(result) > 0 and swapped > 0:
result_images.extend(result)
suffix = "-swapped"
for i,x in enumerate(result):
try:
img_path = save_image(result[i], p.outpath_samples, "", p.all_seeds[0], p.all_prompts[0], "png",info=info, p=p, suffix=suffix)
except:
logger.error("Cannot save a result image - please, check SD WebUI Settings (Saving and Paths)")
elif len(result) == 0:
logger.error("Cannot create a result image")
else:
if result is not None and swapped > 0:
result_images.append(result)
suffix = "-swapped"
try:
img_path = save_image(result, p.outpath_samples, "", p.all_seeds[0], p.all_prompts[0], "png",info=info, p=p, suffix=suffix)
except:
logger.error("Cannot save a result image - please, check SD WebUI Settings (Saving and Paths)")
elif result is None:
logger.error("Cannot create a result image")
# if len(output) != 0:
# split_fullfn = os.path.splitext(img_path[0])
# fullfn = split_fullfn[0] + ".txt"
# with open(fullfn, 'w', encoding="utf8") as f:
# f.writelines(output)
if shared.opts.return_grid and len(result_images) > 2 and postprocess_run:
grid = make_grid(result_images)
result_images.insert(0, grid)
try:
save_image(grid, p.outpath_grids, "grid", p.all_seeds[0], p.all_prompts[0], shared.opts.grid_format, info=info, short_filename=not shared.opts.grid_extended_filename, p=p, grid=True)
except:
logger.error("Cannot save a grid - please, check SD WebUI Settings (Saving and Paths)")
processed.images = result_images
# processed.infotexts = result_info
def postprocess_batch(self, p, *args, **kwargs):
if self.enable and not self.save_original:
logger.debug("*** Check postprocess_batch")
images = kwargs["images"]
def postprocess_image(self, p, script_pp: scripts.PostprocessImageArgs, *args):
if self.enable and self.swap_in_generated and not self.save_original and ((self.select_source == 0 and self.source is not None) or self.select_source == 1):
logger.debug("*** Check postprocess_image")
current_job_number = shared.state.job_no + 1
job_count = shared.state.job_count
if current_job_number == job_count:
reset_messaged()
if check_process_halt():
return
# if (self.source is not None and self.select_source == 0) or ((self.face_model is not None and self.face_model != "None") and self.select_source == 1):
logger.status("Working: source face index %s, target face index %s", self.source_faces_index, self.faces_index)
image: Image.Image = script_pp.image
result, output, swapped = swap_face(
self.source,
image,
source_faces_index=self.source_faces_index,
faces_index=self.faces_index,
model=self.model,
enhancement_options=self.enhancement_options,
gender_source=self.gender_source,
gender_target=self.gender_target,
source_hash_check=self.source_hash_check,
target_hash_check=self.target_hash_check,
device=self.device,
mask_face=self.mask_face,
select_source=self.select_source,
face_model = self.face_model,
source_folder = None,
source_imgs = None,
)
try:
pp = scripts_postprocessing.PostprocessedImage(result)
pp.info = {}
p.extra_generation_params.update(pp.info)
script_pp.image = pp.image
# if len(output) != 0:
# result_path = get_image_path(script_pp.image, p.outpath_samples, "", p.all_seeds[0], p.all_prompts[0], "txt", p=p, suffix="-swapped")
# if len(output) != 0:
# with open(result_path, 'w', encoding="utf8") as f:
# f.writelines(output)
except:
logger.error("Cannot create a result image")
class FaceSwapScriptExtras(scripts_postprocessing.ScriptPostprocessing):
name = 'ReActor'
order = 20000
def ui(self):
with ui_components.InputAccordion(False, label=f"{app_title}") as enable:
# with gr.Accordion(f"{app_title}", open=False):
# SD.Next fix
if get_SDNEXT():
enable = gr.Checkbox(False, label="Enable")
# enable = gr.Checkbox(False, label="Enable", info=f"The Fast and Simple FaceSwap Extension - {version_flag}")
gr.Markdown(f"The Fast and Simple FaceSwap Extension - {version_flag}")
# TAB MAIN
msgs: dict = {
"extra_multiple_source": " | Сomparison grid as a result",
}
img, imgs, select_source, face_model, source_folder, save_original, mask_face, source_faces_index, gender_source, faces_index, gender_target, face_restorer_name, face_restorer_visibility, codeformer_weight, swap_in_source, swap_in_generated = ui_main.show(is_img2img=False, show_br=False, **msgs)
# TAB UPSCALE
restore_first, upscaler_name, upscaler_scale, upscaler_visibility = ui_upscale.show(show_br=False)
# TAB TOOLS
ui_tools.show()
# TAB SETTINGS
model, device, console_logging_level, source_hash_check, target_hash_check = ui_settings.show(hash_check_block=False)
gr.Markdown("by Eugene Gourieff")
args = {
'img': img,
'enable': enable,
'source_faces_index': source_faces_index,
'faces_index': faces_index,
'model': model,
'face_restorer_name': face_restorer_name,
'face_restorer_visibility': face_restorer_visibility,
'restore_first': restore_first,
'upscaler_name': upscaler_name,
'upscaler_scale': upscaler_scale,
'upscaler_visibility': upscaler_visibility,
'console_logging_level': console_logging_level,
'gender_source': gender_source,
'gender_target': gender_target,
'codeformer_weight': codeformer_weight,
'device': device,
'mask_face': mask_face,
'select_source': select_source,
'face_model': face_model,
'source_folder': source_folder,
'imgs': imgs,
}
return args
@property
def upscaler(self) -> UpscalerData:
for upscaler in shared.sd_upscalers:
if upscaler.name == self.upscaler_name:
return upscaler
return None
@property
def face_restorer(self) -> FaceRestoration:
for face_restorer in shared.face_restorers:
if face_restorer.name() == self.face_restorer_name:
return face_restorer
return None
@property
def enhancement_options(self) -> EnhancementOptions:
return EnhancementOptions(
do_restore_first=self.restore_first,
scale=self.upscaler_scale,
upscaler=self.upscaler,
face_restorer=self.face_restorer,
upscale_visibility=self.upscaler_visibility,
restorer_visibility=self.face_restorer_visibility,
codeformer_weight=self.codeformer_weight,
)
def process(self, pp: scripts_postprocessing.PostprocessedImage, **args):
if args['enable']:
reset_messaged()
if check_process_halt():
return
global SWAPPER_MODELS_PATH
self.source = args['img']
self.face_restorer_name = args['face_restorer_name']
self.upscaler_scale = args['upscaler_scale']
self.upscaler_visibility = args['upscaler_visibility']
self.face_restorer_visibility = args['face_restorer_visibility']
self.restore_first = args['restore_first']
self.upscaler_name = args['upscaler_name']
self.model = os.path.join(SWAPPER_MODELS_PATH, args['model'])
self.console_logging_level = args['console_logging_level']
self.gender_source = args['gender_source']
self.gender_target = args['gender_target']
self.codeformer_weight = args['codeformer_weight']
self.device = args['device']
self.mask_face = args['mask_face']
self.select_source = args['select_source']
self.face_model = args['face_model']
self.source_folder = args['source_folder']
self.source_imgs = args['imgs']
if self.gender_source is None or self.gender_source == "No":
self.gender_source = 0
if self.gender_target is None or self.gender_target == "No":
self.gender_target = 0
self.source_faces_index = [
int(x) for x in args['source_faces_index'].strip(",").split(",") if x.isnumeric()
]
self.faces_index = [
int(x) for x in args['faces_index'].strip(",").split(",") if x.isnumeric()
]
if len(self.source_faces_index) == 0:
self.source_faces_index = [0]
if len(self.faces_index) == 0:
self.faces_index = [0]
if self.mask_face is None:
self.mask_face = False
current_job_number = shared.state.job_no + 1
job_count = shared.state.job_count
if current_job_number == job_count:
reset_messaged()
set_Device(self.device)
logger.debug("We're here: process() 1")
if (self.source is not None and self.select_source == 0) or ((self.face_model is not None and self.face_model != "None") and self.select_source == 1) or ((self.source_folder is not None and self.source_folder != "") and self.select_source == 2) or ((self.source_imgs is not None and self.source is None) and self.select_source == 0):
logger.debug("We're here: process() 2")
apply_logging_patch(self.console_logging_level)
logger.status("Working: source face index %s, target face index %s", self.source_faces_index, self.faces_index)
# if self.select_source != 2:
image: Image.Image = pp.image
result, output, swapped = swap_face(
self.source,
image,
source_faces_index=self.source_faces_index,
faces_index=self.faces_index,
model=self.model,
enhancement_options=self.enhancement_options,
gender_source=self.gender_source,
gender_target=self.gender_target,
source_hash_check=True,
target_hash_check=True,
device=self.device,
mask_face=self.mask_face,
select_source=self.select_source,
face_model=self.face_model,
source_folder=self.source_folder,
source_imgs=self.source_imgs,
)
if self.select_source == 2 or (self.select_source == 0 and self.source_imgs is not None and self.source is None):
if len(result) > 0 and swapped > 0:
image = result[0]
if len(result) > 1:
grid = make_grid(result)
result.insert(0, grid)
image = grid
pp.info["ReActor"] = True
pp.image = image
logger.status("---Done!---")
else:
logger.error("Cannot create a result image")
else:
try:
pp.info["ReActor"] = True
pp.image = result
logger.status("---Done!---")
except Exception:
logger.error("Cannot create a result image")
else:
logger.error("Please provide a source face")