70 lines
1.4 KiB
Python
70 lines
1.4 KiB
Python
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def realesrgan_models_names():
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import modules.realesrgan_model
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return [x.name for x in modules.realesrgan_model.get_realesrgan_models(None)]
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def postprocessing_scripts():
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import modules.scripts
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return modules.scripts.scripts_postproc.scripts
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def sd_vae_items():
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import modules.sd_vae
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return ["Automatic", "None"] + list(modules.sd_vae.vae_dict)
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def refresh_vae_list():
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import modules.sd_vae
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modules.sd_vae.refresh_vae_list()
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def cross_attention_optimizations():
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import modules.sd_hijack
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return ["Automatic"] + [x.title() for x in modules.sd_hijack.optimizers] + ["None"]
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def sd_unet_items():
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import modules.sd_unet
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return ["Automatic"] + [x.label for x in modules.sd_unet.unet_options] + ["None"]
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def refresh_unet_list():
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import modules.sd_unet
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modules.sd_unet.list_unets()
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ui_reorder_categories_builtin_items = [
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"inpaint",
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"sampler",
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"checkboxes",
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"hires_fix",
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"dimensions",
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"cfg",
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"seed",
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"batch",
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"override_settings",
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]
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def ui_reorder_categories():
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from modules import scripts
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yield from ui_reorder_categories_builtin_items
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sections = {}
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for script in scripts.scripts_txt2img.scripts + scripts.scripts_img2img.scripts:
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if isinstance(script.section, str):
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sections[script.section] = 1
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yield from sections
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yield "scripts"
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