refactor: code cleanup, move makedirs_with_log back to util
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@ -4,6 +4,7 @@ from modules.patch import PatchSettings, patch_settings, patch_all
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patch_all()
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class AsyncTask:
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def __init__(self, args):
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self.args = args
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@ -44,12 +45,12 @@ def worker():
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import args_manager
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from extras.censor import censor_batch, censor_single
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from modules.sdxl_styles import apply_style, get_random_style, apply_wildcards, fooocus_expansion, apply_arrays, random_style_name
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from modules.sdxl_styles import apply_style, get_random_style, fooocus_expansion, apply_arrays, random_style_name
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from modules.private_logger import log
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from extras.expansion import safe_str
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from modules.util import (remove_empty_str, HWC3, resize_image, get_image_shape_ceil, set_image_shape_ceil,
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get_shape_ceil, resample_image, erode_or_dilate, ordinal_suffix, get_enabled_loras,
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parse_lora_references_from_prompt, apply_wildcards)
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get_shape_ceil, resample_image, erode_or_dilate, ordinal_suffix, get_enabled_loras,
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parse_lora_references_from_prompt, apply_wildcards)
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from modules.upscaler import perform_upscale
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from modules.flags import Performance
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from modules.meta_parser import get_metadata_parser, MetadataScheme
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@ -70,7 +71,8 @@ def worker():
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print(f'[Fooocus] {text}')
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async_task.yields.append(['preview', (number, text, None)])
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def yield_result(async_task, imgs, black_out_nsfw, censor=True, do_not_show_finished_images=False, progressbar_index=13):
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def yield_result(async_task, imgs, black_out_nsfw, censor=True, do_not_show_finished_images=False,
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progressbar_index=13):
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if not isinstance(imgs, list):
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imgs = [imgs]
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@ -153,7 +155,8 @@ def worker():
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base_model_name = args.pop()
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refiner_model_name = args.pop()
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refiner_switch = args.pop()
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loras = get_enabled_loras([(bool(args.pop()), str(args.pop()), float(args.pop())) for _ in range(modules.config.default_max_lora_number)])
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loras = get_enabled_loras([(bool(args.pop()), str(args.pop()), float(args.pop())) for _ in
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range(modules.config.default_max_lora_number)])
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input_image_checkbox = args.pop()
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current_tab = args.pop()
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uov_method = args.pop()
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@ -203,7 +206,8 @@ def worker():
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inpaint_erode_or_dilate = args.pop()
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save_metadata_to_images = args.pop() if not args_manager.args.disable_metadata else False
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metadata_scheme = MetadataScheme(args.pop()) if not args_manager.args.disable_metadata else MetadataScheme.FOOOCUS
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metadata_scheme = MetadataScheme(
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args.pop()) if not args_manager.args.disable_metadata else MetadataScheme.FOOOCUS
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cn_tasks = {x: [] for x in flags.ip_list}
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for _ in range(flags.controlnet_image_count):
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@ -443,7 +447,7 @@ def worker():
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progressbar(async_task, 3, 'Processing prompts ...')
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tasks = []
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for i in range(image_number):
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if disable_seed_increment:
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task_seed = seed % (constants.MAX_SEED + 1)
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@ -454,8 +458,10 @@ def worker():
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task_prompt = apply_wildcards(prompt, task_rng, i, read_wildcards_in_order)
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task_prompt = apply_arrays(task_prompt, i)
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task_negative_prompt = apply_wildcards(negative_prompt, task_rng, i, read_wildcards_in_order)
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task_extra_positive_prompts = [apply_wildcards(pmt, task_rng, i, read_wildcards_in_order) for pmt in extra_positive_prompts]
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task_extra_negative_prompts = [apply_wildcards(pmt, task_rng, i, read_wildcards_in_order) for pmt in extra_negative_prompts]
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task_extra_positive_prompts = [apply_wildcards(pmt, task_rng, i, read_wildcards_in_order) for pmt in
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extra_positive_prompts]
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task_extra_negative_prompts = [apply_wildcards(pmt, task_rng, i, read_wildcards_in_order) for pmt in
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extra_negative_prompts]
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positive_basic_workloads = []
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negative_basic_workloads = []
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@ -656,7 +662,8 @@ def worker():
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)
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if debugging_inpaint_preprocessor:
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yield_result(async_task, inpaint_worker.current_task.visualize_mask_processing(), black_out_nsfw, do_not_show_finished_images=True)
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yield_result(async_task, inpaint_worker.current_task.visualize_mask_processing(), black_out_nsfw,
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do_not_show_finished_images=True)
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return
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progressbar(async_task, 13, 'VAE Inpaint encoding ...')
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@ -811,7 +818,8 @@ def worker():
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done_steps = current_task_id * steps + step
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async_task.yields.append(['preview', (
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int(15.0 + 85.0 * float(done_steps) / float(all_steps)),
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f'Step {step}/{total_steps} in the {current_task_id + 1}{ordinal_suffix(current_task_id + 1)} Sampling', y)])
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f'Step {step}/{total_steps} in the {current_task_id + 1}{ordinal_suffix(current_task_id + 1)} Sampling',
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y)])
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for current_task_id, task in enumerate(tasks):
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execution_start_time = time.perf_counter()
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@ -866,7 +874,8 @@ def worker():
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d = [('Prompt', 'prompt', task['log_positive_prompt']),
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('Negative Prompt', 'negative_prompt', task['log_negative_prompt']),
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('Fooocus V2 Expansion', 'prompt_expansion', task['expansion']),
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('Styles', 'styles', str(task['styles'] if not use_expansion else [fooocus_expansion] + task['styles'])),
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('Styles', 'styles',
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str(task['styles'] if not use_expansion else [fooocus_expansion] + task['styles'])),
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('Performance', 'performance', performance_selection.value)]
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if performance_selection.steps() != steps:
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@ -889,7 +898,8 @@ def worker():
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if refiner_swap_method != flags.refiner_swap_method:
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d.append(('Refiner Swap Method', 'refiner_swap_method', refiner_swap_method))
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if modules.patch.patch_settings[pid].adaptive_cfg != modules.config.default_cfg_tsnr:
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d.append(('CFG Mimicking from TSNR', 'adaptive_cfg', modules.patch.patch_settings[pid].adaptive_cfg))
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d.append(
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('CFG Mimicking from TSNR', 'adaptive_cfg', modules.patch.patch_settings[pid].adaptive_cfg))
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d.append(('Sampler', 'sampler', sampler_name))
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d.append(('Scheduler', 'scheduler', scheduler_name))
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@ -909,11 +919,13 @@ def worker():
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metadata_parser.set_data(task['log_positive_prompt'], task['positive'],
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task['log_negative_prompt'], task['negative'],
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steps, base_model_name, refiner_model_name, loras, vae_name)
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d.append(('Metadata Scheme', 'metadata_scheme', metadata_scheme.value if save_metadata_to_images else save_metadata_to_images))
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d.append(('Metadata Scheme', 'metadata_scheme',
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metadata_scheme.value if save_metadata_to_images else save_metadata_to_images))
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d.append(('Version', 'version', 'Fooocus v' + fooocus_version.version))
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img_paths.append(log(x, d, metadata_parser, output_format, task))
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yield_result(async_task, img_paths, black_out_nsfw, False, do_not_show_finished_images=len(tasks) == 1 or disable_intermediate_results)
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yield_result(async_task, img_paths, black_out_nsfw, False,
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do_not_show_finished_images=len(tasks) == 1 or disable_intermediate_results)
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except ldm_patched.modules.model_management.InterruptProcessingException as e:
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if async_task.last_stop == 'skip':
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print('User skipped')
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@ -1,7 +1,6 @@
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import os
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import json
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import math
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import re
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import numbers
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import args_manager
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import tempfile
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@ -9,9 +8,11 @@ import modules.flags
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import modules.sdxl_styles
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from modules.model_loader import load_file_from_url
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from modules.extra_utils import get_files_from_folder, makedirs_with_log
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from modules.util import makedirs_with_log
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from modules.extra_utils import get_files_from_folder
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from modules.flags import OutputFormat, Performance, MetadataScheme
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def get_config_path(key, default_value):
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env = os.getenv(key)
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if env is not None and isinstance(env, str):
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@ -1,7 +1,6 @@
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import os
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#TODO: Use refactor to use glob instead
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def get_files_from_folder(folder_path, extensions=None, name_filter=None):
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if not os.path.isdir(folder_path):
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raise ValueError("Folder path is not a valid directory.")
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@ -19,9 +18,3 @@ def get_files_from_folder(folder_path, extensions=None, name_filter=None):
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filenames.append(path)
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return filenames
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def makedirs_with_log(path):
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try:
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os.makedirs(path, exist_ok=True)
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except OSError as error:
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print(f'Directory {path} could not be created, reason: {error}')
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@ -172,7 +172,6 @@ def generate_temp_filename(folder='./outputs/', extension='png'):
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return date_string, os.path.abspath(result), filename
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def sha256(filename, use_addnet_hash=False, length=HASH_SHA256_LENGTH):
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print(f"Calculating sha256 for {filename}: ", end='')
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if use_addnet_hash:
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@ -377,6 +376,13 @@ def ordinal_suffix(number: int) -> str:
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return 'th' if 10 <= number % 100 <= 20 else {1: 'st', 2: 'nd', 3: 'rd'}.get(number % 10, 'th')
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def makedirs_with_log(path):
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try:
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os.makedirs(path, exist_ok=True)
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except OSError as error:
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print(f'Directory {path} could not be created, reason: {error}')
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def get_enabled_loras(loras: list) -> list:
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return [(lora[1], lora[2]) for lora in loras if lora[0]]
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