diff --git a/args_manager.py b/args_manager.py index f74782cd..dea851dc 100644 --- a/args_manager.py +++ b/args_manager.py @@ -17,7 +17,7 @@ args_parser.parser.add_argument("--disable-offload-from-vram", action="store_tru args_parser.parser.add_argument("--theme", type=str, help="launches the UI with light or dark theme", default=None) args_parser.parser.add_argument("--disable-image-log", action='store_true', - help="Prevent writing images and logs to hard drive.") + help="Prevent writing images and logs to the outputs folder.") args_parser.parser.add_argument("--disable-analytics", action='store_true', help="Disables analytics for Gradio.") diff --git a/language/en.json b/language/en.json index 332a558d..203db744 100644 --- a/language/en.json +++ b/language/en.json @@ -69,6 +69,9 @@ "Read wildcards in order": "Read wildcards in order", "Black Out NSFW": "Black Out NSFW", "Use black image if NSFW is detected.": "Use black image if NSFW is detected.", + "Save only final enhanced image": "Save only final enhanced image", + "Save Metadata to Images": "Save Metadata to Images", + "Adds parameters to generated images allowing manual regeneration.": "Adds parameters to generated images allowing manual regeneration.", "\ud83d\udcda History Log": "\uD83D\uDCDA History Log", "Image Style": "Image Style", "Fooocus V2": "Fooocus V2", diff --git a/modules/async_worker.py b/modules/async_worker.py index 7560c310..e6050b80 100644 --- a/modules/async_worker.py +++ b/modules/async_worker.py @@ -96,6 +96,7 @@ class AsyncTask: self.inpaint_advanced_masking_checkbox = args.pop() self.invert_mask_checkbox = args.pop() self.inpaint_erode_or_dilate = args.pop() + self.save_final_enhanced_image_only = args.pop() if not args_manager.args.disable_image_log else False self.save_metadata_to_images = args.pop() if not args_manager.args.disable_metadata else False self.metadata_scheme = MetadataScheme( args.pop()) if not args_manager.args.disable_metadata else MetadataScheme.FOOOCUS @@ -278,7 +279,7 @@ def worker(): def process_task(all_steps, async_task, callback, controlnet_canny_path, controlnet_cpds_path, current_task_id, denoising_strength, final_scheduler_name, goals, initial_latent, steps, switch, positive_cond, negative_cond, task, loras, tiled, use_expansion, width, height, base_progress, preparation_steps, - total_count, show_intermediate_results): + total_count, show_intermediate_results, persist_image=True): if async_task.last_stop is not False: ldm_patched.modules.model_management.interrupt_current_processing() if 'cn' in goals: @@ -315,9 +316,8 @@ def worker(): if modules.config.default_black_out_nsfw or async_task.black_out_nsfw: progressbar(async_task, current_progress, 'Checking for NSFW content ...') imgs = default_censor(imgs) - progressbar(async_task, current_progress, - f'Saving image {current_task_id + 1}/{total_count} to system ...') - img_paths = save_and_log(async_task, height, imgs, task, use_expansion, width, loras) + progressbar(async_task, current_progress, f'Saving image {current_task_id + 1}/{total_count} to system ...') + img_paths = save_and_log(async_task, height, imgs, task, use_expansion, width, loras, persist_image) yield_result(async_task, img_paths, current_progress, async_task.black_out_nsfw, False, do_not_show_finished_images=not show_intermediate_results or async_task.disable_intermediate_results) @@ -333,7 +333,7 @@ def worker(): async_task.adaptive_cfg ) - def save_and_log(async_task, height, imgs, task, use_expansion, width, loras) -> list: + def save_and_log(async_task, height, imgs, task, use_expansion, width, loras, persist_image=True) -> list: img_paths = [] for x in imgs: d = [('Prompt', 'prompt', task['log_positive_prompt']), @@ -388,7 +388,7 @@ def worker(): d.append(('Metadata Scheme', 'metadata_scheme', async_task.metadata_scheme.value if async_task.save_metadata_to_images else async_task.save_metadata_to_images)) d.append(('Version', 'version', 'Fooocus v' + fooocus_version.version)) - img_paths.append(log(x, d, metadata_parser, async_task.output_format, task)) + img_paths.append(log(x, d, metadata_parser, async_task.output_format, task, persist_image)) return img_paths @@ -963,7 +963,7 @@ def worker(): inpaint_engine, inpaint_respective_field, inpaint_strength, prompt, negative_prompt, final_scheduler_name, goals, height, img, mask, preparation_steps, steps, switch, tiled, total_count, use_expansion, use_style, - use_synthetic_refiner, width, show_intermediate_results=True): + use_synthetic_refiner, width, show_intermediate_results=True, persist_image=True): base_model_additional_loras = [] inpaint_head_model_path = None inpaint_parameterized = inpaint_engine != 'None' # inpaint_engine = None, improve detail @@ -985,7 +985,7 @@ def worker(): progressbar(async_task, current_progress, 'Checking for NSFW content ...') img = default_censor(img) progressbar(async_task, current_progress, f'Saving image {current_task_id + 1}/{total_count} to system ...') - uov_image_path = log(img, d, output_format=async_task.output_format) + uov_image_path = log(img, d, output_format=async_task.output_format, persist_image=persist_image) yield_result(async_task, uov_image_path, current_progress, async_task.black_out_nsfw, False, do_not_show_finished_images=not show_intermediate_results or async_task.disable_intermediate_results) return current_progress, img, prompt, negative_prompt @@ -1019,7 +1019,8 @@ def worker(): final_scheduler_name, goals, initial_latent, steps, switch, task_enhance['c'], task_enhance['uc'], task_enhance, loras, tiled, use_expansion, width, height, current_progress, - preparation_steps, total_count, show_intermediate_results) + preparation_steps, total_count, show_intermediate_results, + persist_image) del task_enhance['c'], task_enhance['uc'] # Save memory return current_progress, imgs[0], prompt, negative_prompt @@ -1027,7 +1028,7 @@ def worker(): def enhance_upscale(all_steps, async_task, base_progress, callback, controlnet_canny_path, controlnet_cpds_path, current_task_id, denoising_strength, done_steps_inpainting, done_steps_upscaling, enhance_steps, prompt, negative_prompt, final_scheduler_name, height, img, preparation_steps, switch, tiled, - total_count, use_expansion, use_style, use_synthetic_refiner, width): + total_count, use_expansion, use_style, use_synthetic_refiner, width, persist_image=True): # reset inpaint worker to prevent tensor size issues and not mix upscale and inpainting inpaint_worker.current_task = None @@ -1045,7 +1046,7 @@ def worker(): controlnet_cpds_path, current_progress, current_task_id, denoising_strength, False, 'None', 0.0, 0.0, prompt, negative_prompt, final_scheduler_name, goals_enhance, height, img, None, preparation_steps, steps, switch, tiled, total_count, - use_expansion, use_style, use_synthetic_refiner, width) + use_expansion, use_style, use_synthetic_refiner, width, persist_image=persist_image) except ldm_patched.modules.model_management.InterruptProcessingException: if async_task.last_stop == 'skip': @@ -1168,6 +1169,8 @@ def worker(): current_progress += 1 progressbar(async_task, current_progress, 'Image processing ...') + should_enhance = async_task.enhance_checkbox and (async_task.enhance_uov_method != flags.disabled.casefold() or len(async_task.enhance_ctrls) > 0) + if 'vary' in goals: async_task.uov_input_image, denoising_strength, initial_latent, width, height, current_progress = apply_vary( async_task, async_task.uov_method, denoising_strength, async_task.uov_input_image, switch, @@ -1273,8 +1276,8 @@ def worker(): int(current_progress + async_task.callback_steps), f'Sampling step {step + 1}/{total_steps}, image {current_task_id + 1}/{total_count} ...', y)]) - should_enhance = async_task.enhance_checkbox and (async_task.enhance_uov_method != flags.disabled.casefold() or len(async_task.enhance_ctrls) > 0) show_intermediate_results = len(tasks) > 1 or should_enhance + persist_image = not should_enhance or not async_task.save_final_enhanced_image_only for current_task_id, task in enumerate(tasks): progressbar(async_task, current_progress, f'Preparing task {current_task_id + 1}/{async_task.image_number} ...') @@ -1287,7 +1290,8 @@ def worker(): initial_latent, async_task.steps, switch, task['c'], task['uc'], task, loras, tiled, use_expansion, width, height, current_progress, preparation_steps, - async_task.image_number, show_intermediate_results) + async_task.image_number, show_intermediate_results, + persist_image) current_progress = int(preparation_steps + (100 - preparation_steps) / float(all_steps) * async_task.steps * (current_task_id + 1)) images_to_enhance += imgs @@ -1314,8 +1318,12 @@ def worker(): active_enhance_tabs = len(async_task.enhance_ctrls) should_process_enhance_uov = async_task.enhance_uov_method != flags.disabled.casefold() + enhance_uov_before = False + enhance_uov_after = False if should_process_enhance_uov: active_enhance_tabs += 1 + enhance_uov_before = async_task.enhance_uov_processing_order == flags.enhancement_uov_before + enhance_uov_after = async_task.enhance_uov_processing_order == flags.enhancement_uov_after total_count = len(images_to_enhance) * active_enhance_tabs base_progress = current_progress @@ -1330,13 +1338,14 @@ def worker(): last_enhance_prompt = async_task.prompt last_enhance_negative_prompt = async_task.negative_prompt - if should_process_enhance_uov and async_task.enhance_uov_processing_order == flags.enhancement_uov_before: + if enhance_uov_before: current_task_id += 1 + persist_image = not async_task.save_final_enhanced_image_only or active_enhance_tabs == 0 current_task_id, done_steps_inpainting, done_steps_upscaling, img, exception_result = enhance_upscale( all_steps, async_task, base_progress, callback, controlnet_canny_path, controlnet_cpds_path, current_task_id, denoising_strength, done_steps_inpainting, done_steps_upscaling, enhance_steps, async_task.prompt, async_task.negative_prompt, final_scheduler_name, height, img, preparation_steps, - switch, tiled, total_count, use_expansion, use_style, use_synthetic_refiner, width) + switch, tiled, total_count, use_expansion, use_style, use_synthetic_refiner, width, persist_image) if exception_result == 'continue': continue elif exception_result == 'break': @@ -1348,6 +1357,8 @@ def worker(): current_progress = int(base_progress + (100 - preparation_steps) / float(all_steps) * (done_steps_upscaling + done_steps_inpainting)) progressbar(async_task, current_progress, f'Preparing enhancement {current_task_id + 1}/{total_count} ...') enhancement_task_start_time = time.perf_counter() + is_last_enhance_for_image = (current_task_id + 1) % active_enhance_tabs == 0 and not enhance_uov_after + persist_image = not async_task.save_final_enhanced_image_only or is_last_enhance_for_image extras = {} if enhance_mask_model == 'sam': @@ -1383,8 +1394,7 @@ def worker(): print(f'[Enhance] {sam_detection_count} segments detected in boxes') print(f'[Enhance] {sam_detection_on_mask_count} segments applied to mask') - if enhance_mask_model == 'sam' and ( - dino_detection_count == 0 or not async_task.debugging_dino and sam_detection_on_mask_count == 0): + if enhance_mask_model == 'sam' and (dino_detection_count == 0 or not async_task.debugging_dino and sam_detection_on_mask_count == 0): print(f'[Enhance] No "{enhance_mask_dino_prompt_text}" detected, skipping') continue @@ -1397,7 +1407,7 @@ def worker(): enhance_inpaint_engine, enhance_inpaint_respective_field, enhance_inpaint_strength, enhance_prompt, enhance_negative_prompt, final_scheduler_name, goals_enhance, height, img, mask, preparation_steps, enhance_steps, switch, tiled, total_count, use_expansion, use_style, - use_synthetic_refiner, width) + use_synthetic_refiner, width, persist_image=persist_image) if (should_process_enhance_uov and async_task.enhance_uov_processing_order == flags.enhancement_uov_after and async_task.enhance_uov_prompt_type == flags.enhancement_uov_prompt_type_last_filled): @@ -1424,14 +1434,16 @@ def worker(): if exception_result == 'break': break - if should_process_enhance_uov and async_task.enhance_uov_processing_order == flags.enhancement_uov_after: + if enhance_uov_after: current_task_id += 1 + # last step in enhance, always save + persist_image = True current_task_id, done_steps_inpainting, done_steps_upscaling, img, exception_result = enhance_upscale( all_steps, async_task, base_progress, callback, controlnet_canny_path, controlnet_cpds_path, current_task_id, denoising_strength, done_steps_inpainting, done_steps_upscaling, enhance_steps, last_enhance_prompt, last_enhance_negative_prompt, final_scheduler_name, height, img, preparation_steps, switch, tiled, total_count, use_expansion, use_style, use_synthetic_refiner, - width) + width, persist_image) if exception_result == 'continue': continue elif exception_result == 'break': diff --git a/modules/config.py b/modules/config.py index ee867e5f..5af9c58a 100644 --- a/modules/config.py +++ b/modules/config.py @@ -562,6 +562,12 @@ default_black_out_nsfw = get_config_item_or_set_default( validator=lambda x: isinstance(x, bool), expected_type=bool ) +default_save_only_final_enhanced_image = get_config_item_or_set_default( + key='default_save_only_final_enhanced_image', + default_value=False, + validator=lambda x: isinstance(x, bool), + expected_type=bool +) default_save_metadata_to_images = get_config_item_or_set_default( key='default_save_metadata_to_images', default_value=False, diff --git a/modules/private_logger.py b/modules/private_logger.py index 6fdb680c..f758272e 100644 --- a/modules/private_logger.py +++ b/modules/private_logger.py @@ -21,8 +21,8 @@ def get_current_html_path(output_format=None): return html_name -def log(img, metadata, metadata_parser: MetadataParser | None = None, output_format=None, task=None) -> str: - path_outputs = modules.config.temp_path if args_manager.args.disable_image_log else modules.config.path_outputs +def log(img, metadata, metadata_parser: MetadataParser | None = None, output_format=None, task=None, persist_image=True) -> str: + path_outputs = modules.config.temp_path if args_manager.args.disable_image_log or not persist_image else modules.config.path_outputs output_format = output_format if output_format else modules.config.default_output_format date_string, local_temp_filename, only_name = generate_temp_filename(folder=path_outputs, extension=output_format) os.makedirs(os.path.dirname(local_temp_filename), exist_ok=True) diff --git a/webui.py b/webui.py index b041a73a..467594dd 100644 --- a/webui.py +++ b/webui.py @@ -753,6 +753,10 @@ with shared.gradio_root: inputs=black_out_nsfw, outputs=disable_preview, queue=False, show_progress=False) + if not args_manager.args.disable_image_log: + save_final_enhanced_image_only = gr.Checkbox(label='Save only final enhanced image', + value=modules.config.default_save_only_final_enhanced_image) + if not args_manager.args.disable_metadata: save_metadata_to_images = gr.Checkbox(label='Save Metadata to Images', value=modules.config.default_save_metadata_to_images, info='Adds parameters to generated images allowing manual regeneration.') @@ -992,6 +996,9 @@ with shared.gradio_root: ctrls += freeu_ctrls ctrls += inpaint_ctrls + if not args_manager.args.disable_image_log: + ctrls += [save_final_enhanced_image_only] + if not args_manager.args.disable_metadata: ctrls += [save_metadata_to_images, metadata_scheme]