commit
a45e4d011e
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@ -1 +1 @@
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version = '2.1.19'
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version = '2.1.20'
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@ -146,7 +146,6 @@ def worker():
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tasks = []
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if input_image_checkbox:
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progressbar(13, 'Image processing ...')
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if (current_tab == 'uov' or (current_tab == 'ip' and advanced_parameters.mixing_image_prompt_and_vary_upscale)) \
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and uov_method != flags.disabled and uov_input_image is not None:
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uov_input_image = HWC3(uov_input_image)
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@ -163,7 +162,7 @@ def worker():
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else:
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steps = 36
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switch = 24
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progressbar(13, 'Downloading upscale models ...')
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progressbar(1, 'Downloading upscale models ...')
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modules.path.downloading_upscale_model()
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if (current_tab == 'inpaint' or (current_tab == 'ip' and advanced_parameters.mixing_image_prompt_and_inpaint))\
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and isinstance(inpaint_input_image, dict):
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@ -172,7 +171,7 @@ def worker():
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inpaint_image = HWC3(inpaint_image)
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if isinstance(inpaint_image, np.ndarray) and isinstance(inpaint_mask, np.ndarray) \
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and (np.any(inpaint_mask > 127) or len(outpaint_selections) > 0):
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progressbar(13, 'Downloading inpainter ...')
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progressbar(1, 'Downloading inpainter ...')
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inpaint_head_model_path, inpaint_patch_model_path = modules.path.downloading_inpaint_models()
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loras += [(inpaint_patch_model_path, 1.0)]
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goals.append('inpaint')
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@ -181,14 +180,14 @@ def worker():
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advanced_parameters.mixing_image_prompt_and_inpaint or \
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advanced_parameters.mixing_image_prompt_and_vary_upscale:
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goals.append('cn')
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progressbar(13, 'Downloading control models ...')
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progressbar(1, 'Downloading control models ...')
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if len(cn_tasks[flags.cn_canny]) > 0:
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controlnet_canny_path = modules.path.downloading_controlnet_canny()
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if len(cn_tasks[flags.cn_cpds]) > 0:
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controlnet_cpds_path = modules.path.downloading_controlnet_cpds()
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if len(cn_tasks[flags.cn_ip]) > 0:
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clip_vision_path, ip_negative_path, ip_adapter_path = modules.path.downloading_ip_adapters()
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progressbar(13, 'Loading control models ...')
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progressbar(1, 'Loading control models ...')
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# Load or unload CNs
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pipeline.refresh_controlnets([controlnet_canny_path, controlnet_cpds_path])
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