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feat: add nsfw image censoring via config and checkbox (#958)

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* add nsfw image censoring

activatable via config, uses CompVis/stable-diffusion-safety-checker

* fix progressbar call for nsfw output

* use config to set cache dir for safety checker

* add checkbox black_out_nsfw

makes both enabling via config and checkbox possible, where config overrides the checkbox value

* fix: add missing diffusers package

* feat: extract safety checker, remove dependency to diffusers

* feat: make code compatible again after merge with main

* feat: move censor to extras, optimize safety checker file handling

* refactor: rename folder safety_checker_models to safety_checker
This commit is contained in:
Manuel Schmid
2024-05-18 15:50:28 +02:00
committed by GitHub
parent 33fa175bd4
commit 00d3d1b4b3
9 changed files with 424 additions and 11 deletions
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modules/async_worker.py
+23 -9
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@@ -43,6 +43,7 @@ def worker():
import fooocus_version
import args_manager
from extras.censor import censor_batch, censor_single
from modules.sdxl_styles import apply_style, get_random_style, apply_wildcards, fooocus_expansion, apply_arrays, random_style_name
from modules.private_logger import log
from extras.expansion import safe_str
@@ -68,10 +69,14 @@ def worker():
print(f'[Fooocus] {text}')
async_task.yields.append(['preview', (number, text, None)])
def yield_result(async_task, imgs, do_not_show_finished_images=False):
def yield_result(async_task, imgs, black_out_nsfw, censor=True, do_not_show_finished_images=False, progressbar_index=13):
if not isinstance(imgs, list):
imgs = [imgs]
if censor and (modules.config.default_black_out_nsfw or black_out_nsfw):
progressbar(async_task, progressbar_index, 'Checking for NSFW content ...')
imgs = censor_batch(imgs)
async_task.results = async_task.results + imgs
if do_not_show_finished_images:
@@ -160,6 +165,7 @@ def worker():
disable_preview = args.pop()
disable_intermediate_results = args.pop()
disable_seed_increment = args.pop()
black_out_nsfw = args.pop()
adm_scaler_positive = args.pop()
adm_scaler_negative = args.pop()
adm_scaler_end = args.pop()
@@ -578,8 +584,11 @@ def worker():
if direct_return:
d = [('Upscale (Fast)', 'upscale_fast', '2x')]
if modules.config.default_black_out_nsfw or black_out_nsfw:
progressbar(async_task, 100, 'Checking for NSFW content ...')
uov_input_image = censor_single(uov_input_image)
uov_input_image_path = log(uov_input_image, d, output_format=output_format)
yield_result(async_task, uov_input_image_path, do_not_show_finished_images=True)
yield_result(async_task, uov_input_image_path, black_out_nsfw, False, do_not_show_finished_images=True)
return
tiled = True
@@ -643,8 +652,7 @@ def worker():
)
if debugging_inpaint_preprocessor:
yield_result(async_task, inpaint_worker.current_task.visualize_mask_processing(),
do_not_show_finished_images=True)
yield_result(async_task, inpaint_worker.current_task.visualize_mask_processing(), black_out_nsfw, do_not_show_finished_images=True)
return
progressbar(async_task, 13, 'VAE Inpaint encoding ...')
@@ -707,7 +715,7 @@ def worker():
cn_img = HWC3(cn_img)
task[0] = core.numpy_to_pytorch(cn_img)
if debugging_cn_preprocessor:
yield_result(async_task, cn_img, do_not_show_finished_images=True)
yield_result(async_task, cn_img, black_out_nsfw, do_not_show_finished_images=True)
return
for task in cn_tasks[flags.cn_cpds]:
cn_img, cn_stop, cn_weight = task
@@ -719,7 +727,7 @@ def worker():
cn_img = HWC3(cn_img)
task[0] = core.numpy_to_pytorch(cn_img)
if debugging_cn_preprocessor:
yield_result(async_task, cn_img, do_not_show_finished_images=True)
yield_result(async_task, cn_img, black_out_nsfw, do_not_show_finished_images=True)
return
for task in cn_tasks[flags.cn_ip]:
cn_img, cn_stop, cn_weight = task
@@ -730,7 +738,7 @@ def worker():
task[0] = ip_adapter.preprocess(cn_img, ip_adapter_path=ip_adapter_path)
if debugging_cn_preprocessor:
yield_result(async_task, cn_img, do_not_show_finished_images=True)
yield_result(async_task, cn_img, black_out_nsfw, do_not_show_finished_images=True)
return
for task in cn_tasks[flags.cn_ip_face]:
cn_img, cn_stop, cn_weight = task
@@ -744,7 +752,7 @@ def worker():
task[0] = ip_adapter.preprocess(cn_img, ip_adapter_path=ip_adapter_face_path)
if debugging_cn_preprocessor:
yield_result(async_task, cn_img, do_not_show_finished_images=True)
yield_result(async_task, cn_img, black_out_nsfw, do_not_show_finished_images=True)
return
all_ip_tasks = cn_tasks[flags.cn_ip] + cn_tasks[flags.cn_ip_face]
@@ -844,6 +852,12 @@ def worker():
imgs = [inpaint_worker.current_task.post_process(x) for x in imgs]
img_paths = []
if modules.config.default_black_out_nsfw or black_out_nsfw:
progressbar(async_task, int(15.0 + 85.0 * float((current_task_id + 1) * steps) / float(all_steps)),
'Checking for NSFW content ...')
imgs = censor_batch(imgs)
for x in imgs:
d = [('Prompt', 'prompt', task['log_positive_prompt']),
('Negative Prompt', 'negative_prompt', task['log_negative_prompt']),
@@ -895,7 +909,7 @@ def worker():
d.append(('Version', 'version', 'Fooocus v' + fooocus_version.version))
img_paths.append(log(x, d, metadata_parser, output_format, task))
yield_result(async_task, img_paths, do_not_show_finished_images=len(tasks) == 1 or disable_intermediate_results)
yield_result(async_task, img_paths, black_out_nsfw, False, do_not_show_finished_images=len(tasks) == 1 or disable_intermediate_results)
except ldm_patched.modules.model_management.InterruptProcessingException as e:
if async_task.last_stop == 'skip':
print('User skipped')