78 lines
3.2 KiB
Python
78 lines
3.2 KiB
Python
import modules.scripts as scripts
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import os
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from modules import modelloader, paths, shared, sd_models
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from modules.paths import models_path, script_path
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import importlib
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def get_models():
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modellist = sd_models.checkpoint_tiles()
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return modellist
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def get_upscalers():
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# Upscalers are sort of hardcoded as well for Latent, but not for the 2 others. So build it up!
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latentlist=["Latent","Latent (antialiased)","Latent (bicubic)","Latent (bicubic antialiased)","Latent (nearest)","Latent (nearest-exact)","Lanczos","Nearest"]
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# From 1.4 onwards, the shared.sd_upscalers isn't available on startup. Run load_upscalers first
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# It doesn't work perfectly, I have to call this each time to make sure it stays working.
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upscalerlistfromwWebUI = upscalers_on_startup()
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# deduplicate the list
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upscalerlistfromwWebUI = list(dict.fromkeys(upscalerlistfromwWebUI))
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if("None" in upscalerlistfromwWebUI):
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upscalerlistfromwWebUI.remove("None")
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upscalerlist = latentlist + upscalerlistfromwWebUI
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# Just to be sure, deduplicate again
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upscalerlist = list(dict.fromkeys(upscalerlist))
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return upscalerlist
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def get_samplers():
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#Samplers are hardcoded in WEBui, so lets do it here as well
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samplerlist = ["Euler a", "Euler", "LMS","Heun","DPM2","DPM2 a","DPM++ 2S a","DPM++ 2M","DPM++ SDE","DPM fast","DPM adaptive","LMS Karras","DPM2 Karras","DPM2 a Karras","DPM++ 2S a Karras","DPM++ 2M Karras","DPM++ SDE Karras"]
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samplerlist += ["DDIM","UniPC", "PLMS"]
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return samplerlist
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def get_upscalers_for_img2img():
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# From 1.4 onwards, the shared.sd_upscalers isn't available on startup. Run load_upscalers first
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# It doesn't work perfectly, I have to call this each time to make sure it stays working.
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upscalerlistfromwWebUI = upscalers_on_startup()
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# deduplicate the list
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upscalerlistfromwWebUI = list(dict.fromkeys(upscalerlistfromwWebUI))
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if("None" in upscalerlistfromwWebUI):
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upscalerlistfromwWebUI.remove("None")
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return upscalerlistfromwWebUI
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def get_samplers_for_img2img():
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#Samplers are hardcoded in WEBui, so lets do it here as well
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samplerlist = ["Euler a", "Euler", "LMS","Heun","DPM2","DPM2 a","DPM++ 2S a","DPM++ 2M","DPM++ SDE","DPM fast","DPM adaptive","LMS Karras","DPM2 Karras","DPM2 a Karras","DPM++ 2S a Karras","DPM++ 2M Karras","DPM++ SDE Karras"]
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samplerlist += ["DDIM"] #UniPC and PLMS dont support upscaling apparently
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return samplerlist
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def upscalers_on_startup():
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modelloader.cleanup_models()
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modelloader.load_upscalers()
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upscalerlistfromwWebUI = [x.name for x in shared.sd_upscalers]
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# In vlad this seems to work, but in WebUI some of these aren't loaded yet
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# lets just hardcode it, and get it over with
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if('LDSR' not in upscalerlistfromwWebUI):
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upscalerlistfromwWebUI.append('LDSR')
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if('ScuNET GAN' not in upscalerlistfromwWebUI):
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upscalerlistfromwWebUI.append('ScuNET GAN')
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if('ScuNET PSNR' not in upscalerlistfromwWebUI):
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upscalerlistfromwWebUI.append('ScuNET PSNR')
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if('SwinIR_4x' not in upscalerlistfromwWebUI and 'SwinIR 4x' not in upscalerlistfromwWebUI):
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upscalerlistfromwWebUI.append('SwinIR_4x')
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return upscalerlistfromwWebUI
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