feat: improve performance, do not reload the pipeline when prompts are the same as in the original task
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33a9c156ad
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@ -897,12 +897,12 @@ def worker():
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'face')
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return base_model_additional_loras, clip_vision_path, controlnet_canny_path, controlnet_cpds_path, inpaint_head_model_path, inpaint_image, inpaint_mask, ip_adapter_face_path, ip_adapter_path, ip_negative_path, skip_prompt_processing, use_synthetic_refiner
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def prepare_enhance_prompt(prompt: str, fallback_prompt: str, translate: bool, type: str):
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if len(remove_empty_str([safe_str(p) for p in prompt.splitlines()], default='')) == 0:
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def prepare_enhance_prompt(prompt: str, fallback_prompt: str, translate: bool, prompt_type: str):
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if safe_str(prompt) == '' or len(remove_empty_str([safe_str(p) for p in prompt.splitlines()], default='')) == 0:
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prompt = fallback_prompt
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else:
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if translate:
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prompt = translate2en(prompt, type)
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prompt = translate2en(prompt, prompt_type)
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prompt = prompt + '\n' + fallback_prompt
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return prompt
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@ -1134,20 +1134,24 @@ def worker():
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enhance_prompt = prepare_enhance_prompt(enhance_prompt, async_task.prompt, async_task.translate_prompts, 'prompt')
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enhance_negative_prompt = prepare_enhance_prompt(enhance_negative_prompt, async_task.negative_prompt, async_task.translate_prompts, 'negative prompt')
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tasks_enhance, use_expansion, loras = process_prompt(async_task, enhance_prompt,
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enhance_negative_prompt,
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base_model_additional_loras_enhance,
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1, True,
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use_expansion, use_style,
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use_synthetic_refiner)
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task_enhance = tasks_enhance[0]
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if not inpaint_parameterized_enhance and enhance_prompt == async_task.prompt and enhance_negative_prompt == async_task.negative_prompt:
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task_enhance = task.copy()
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tasks_enhance = tasks.copy()
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else:
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tasks_enhance, use_expansion, loras = process_prompt(async_task, enhance_prompt,
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enhance_negative_prompt,
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base_model_additional_loras_enhance,
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1, True,
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use_expansion, use_style,
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use_synthetic_refiner)
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task_enhance = tasks_enhance[0]
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# TODO could support vary, upscale and CN in the future
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# if 'cn' in goals:
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# apply_control_nets(async_task, height, ip_adapter_face_path, ip_adapter_path, width)
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if async_task.freeu_enabled:
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apply_freeu(async_task)
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patch_samplers(async_task)
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# TODO could support vary, upscale and CN in the future
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# if 'cn' in goals:
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# apply_control_nets(async_task, height, ip_adapter_face_path, ip_adapter_path, width)
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if async_task.freeu_enabled:
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apply_freeu(async_task)
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patch_samplers(async_task)
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goals_enhance = ['inpaint']
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enhance_inpaint_strength, initial_latent_enhance, width_enhance, height_enhance = apply_inpaint(
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