feat: display intermediate results wqhen enhance is true
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@ -274,8 +274,8 @@ def worker():
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def process_task(all_steps, async_task, callback, controlnet_canny_path, controlnet_cpds_path, current_task_id,
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denoising_strength, final_scheduler_name, goals, initial_latent, steps, switch, positive_cond,
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negative_cond, task, tasks, tiled, use_expansion, width, height, base_progress, preparation_steps,
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total_count):
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negative_cond, task, tiled, use_expansion, width, height, base_progress, preparation_steps,
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total_count, show_intermediate_results):
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if async_task.last_stop is not False:
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ldm_patched.modules.model_management.interrupt_current_processing()
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if 'cn' in goals:
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@ -316,7 +316,7 @@ def worker():
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f'Saving image {current_task_id + 1}/{total_count} to system ...')
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img_paths = save_and_log(async_task, height, imgs, task, use_expansion, width)
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yield_result(async_task, img_paths, current_progress, async_task.black_out_nsfw, False,
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do_not_show_finished_images=len(tasks) == 1 or async_task.disable_intermediate_results)
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do_not_show_finished_images=not show_intermediate_results or async_task.disable_intermediate_results)
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return imgs, img_paths, current_progress
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@ -957,7 +957,7 @@ def worker():
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inpaint_engine, inpaint_respective_field, inpaint_strength,
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negative_prompt, prompt, final_scheduler_name, goals, height, img, mask,
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preparation_steps, steps, switch, tiled, total_count, use_expansion, use_style,
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use_synthetic_refiner, width):
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use_synthetic_refiner, width, show_intermediate_results=True):
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base_model_additional_loras = []
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inpaint_head_model_path = None
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inpaint_parameterized = inpaint_engine != 'None' # inpaint_engine = None, improve detail
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@ -1008,11 +1008,11 @@ def worker():
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inpaint_respective_field, switch, inpaint_disable_initial_latent,
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current_progress, True)
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imgs, img_paths, current_progress = process_task(all_steps, async_task, callback, controlnet_canny_path,
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controlnet_cpds_path, current_task_id, denoising_strength,
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final_scheduler_name, goals, initial_latent, steps, switch,
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task_enhance['c'], task_enhance['uc'], task_enhance,
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tasks_enhance, tiled, use_expansion, width, height,
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current_progress, preparation_steps, total_count)
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controlnet_cpds_path, current_task_id, denoising_strength,
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final_scheduler_name, goals, initial_latent, steps, switch,
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task_enhance['c'], task_enhance['uc'], task_enhance, tiled,
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use_expansion, width, height, current_progress,
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preparation_steps, total_count, show_intermediate_results)
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del task_enhance['c'], task_enhance['uc'] # Save memory
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return current_progress, imgs[0]
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@ -1217,20 +1217,21 @@ def worker():
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int(current_progress + async_task.callback_steps),
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f'Sampling step {step + 1}/{total_steps}, image {current_task_id + 1}/{total_count} ...', y)])
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should_enhance = async_task.enhance_checkbox and (async_task.enhance_uov_method != flags.disabled.casefold() or len(async_task.enhance_ctrls) > 0)
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show_intermediate_results = len(tasks) > 1 or should_enhance
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for current_task_id, task in enumerate(tasks):
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progressbar(async_task, current_progress,
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f'Preparing task {current_task_id + 1}/{async_task.image_number} ...')
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progressbar(async_task, current_progress, f'Preparing task {current_task_id + 1}/{async_task.image_number} ...')
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execution_start_time = time.perf_counter()
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try:
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imgs, img_paths, current_progress = process_task(all_steps, async_task, callback, controlnet_canny_path,
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controlnet_cpds_path,
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current_task_id, denoising_strength,
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final_scheduler_name, goals, initial_latent,
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async_task.steps, switch, task['c'], task['uc'], task,
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tasks, tiled, use_expansion, width, height,
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controlnet_cpds_path, current_task_id,
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denoising_strength, final_scheduler_name, goals,
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initial_latent, async_task.steps, switch, task['c'],
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task['uc'], task, tiled, use_expansion, width, height,
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preparation_steps, preparation_steps,
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async_task.image_number)
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async_task.image_number, show_intermediate_results)
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images_to_enhance += imgs
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@ -1247,7 +1248,7 @@ def worker():
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execution_time = time.perf_counter() - execution_start_time
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print(f'Generating and saving time: {execution_time:.2f} seconds')
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if not async_task.enhance_checkbox or (async_task.enhance_uov_method == flags.disabled.casefold() and len(async_task.enhance_ctrls) == 0):
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if not should_enhance:
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print(f'[Enhance] Skipping, preconditions aren\'t met')
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stop_processing(async_task, processing_start_time)
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return
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