Update Scripts/runpodSD.py
Browse files- Scripts/runpodSD.py +28 -28
Scripts/runpodSD.py
CHANGED
@@ -114,7 +114,7 @@ def repo(Huggingface_token_optional):
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call('tar --zstd -xf sd_mrep.tar.zst', shell=True)
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call('rm sd_mrep.tar.zst', shell=True)
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os.chdir('/workspace/sd')
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-
if not os.path.exists('
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call('git clone -q --depth 1 --branch main https://github.com/apollo812/SD', shell=True)
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else:
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@@ -126,11 +126,11 @@ def repo(Huggingface_token_optional):
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call('rm sd_mrep.tar.zst', shell=True)
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os.chdir('/workspace/sd')
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-
if not os.path.exists('
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call('git clone -q --depth 1 --branch main https://github.com/apollo812/SD', shell=True)
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os.chdir('/workspace/sd/
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call('git reset --hard', shell=True)
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print('[1;32m')
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call('git pull', shell=True)
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@@ -146,8 +146,8 @@ def mdl(Original_Model_Version, Path_to_MODEL, MODEL_LINK):
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src=getsrc(MODEL_LINK)
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-
if not os.path.exists('/workspace/sd/
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call('ln -s /workspace/auto-models/* /workspace/sd/
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if Path_to_MODEL !='':
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if os.path.exists(str(Path_to_MODEL)):
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@@ -160,7 +160,7 @@ def mdl(Original_Model_Version, Path_to_MODEL, MODEL_LINK):
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if src=='civitai':
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modelname=get_name(MODEL_LINK, False)
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-
model=f'/workspace/sd/
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if not os.path.exists(model):
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dwn(MODEL_LINK, model, 'Downloading the custom model')
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clear_output()
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@@ -168,7 +168,7 @@ def mdl(Original_Model_Version, Path_to_MODEL, MODEL_LINK):
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print('[1;33mModel already exists')
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elif src=='gdrive':
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modelname=get_name(MODEL_LINK, True)
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-
model=f'/workspace/sd/
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if not os.path.exists(model):
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gdown.download(url=MODEL_LINK, output=model, quiet=False, fuzzy=True)
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clear_output()
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@@ -176,7 +176,7 @@ def mdl(Original_Model_Version, Path_to_MODEL, MODEL_LINK):
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print('[1;33mModel already exists')
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else:
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modelname=os.path.basename(MODEL_LINK)
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model=f'/workspace/sd/
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if not os.path.exists(model):
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gdown.download(url=MODEL_LINK, output=model, quiet=False, fuzzy=True)
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clear_output()
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@@ -191,29 +191,29 @@ def mdl(Original_Model_Version, Path_to_MODEL, MODEL_LINK):
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else:
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if Original_Model_Version == "v1.5":
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model="/workspace/sd/
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print('[1;32mUsing the original V1.5 model')
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elif Original_Model_Version == "v2-512":
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model='/workspace/sd/
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if not os.path.exists('/workspace/sd/
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print('[1;33mDownloading the V2-512 model...')
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call('gdown -O '+model+' https://huggingface.co/stabilityai/stable-diffusion-2-1-base/resolve/main/v2-1_512-nonema-pruned.ckpt', shell=True)
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clear_output()
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print('[1;32mUsing the original V2-512 model')
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elif Original_Model_Version == "v2-768":
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model="/workspace/sd/
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print('[1;32mUsing the original V2-768 model')
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elif Original_Model_Version == "SDXL":
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model="/workspace/sd/
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print('[1;32mUsing the original SDXL model')
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else:
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model="/workspace/sd/
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print('[1;31mWrong model version, try again')
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try:
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model
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except:
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model="/workspace/sd/
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return model
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@@ -223,13 +223,13 @@ def loradwn(LoRA_LINK):
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if LoRA_LINK=='':
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print('[1;33mNothing to do')
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else:
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os.makedirs('/workspace/sd/
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src=getsrc(LoRA_LINK)
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if src=='civitai':
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modelname=get_name(LoRA_LINK, False)
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loramodel=f'/workspace/sd/
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if not os.path.exists(loramodel):
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dwn(LoRA_LINK, loramodel, 'Downloading the LoRA model')
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clear_output()
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@@ -237,7 +237,7 @@ def loradwn(LoRA_LINK):
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print('[1;33mModel already exists')
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elif src=='gdrive':
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modelname=get_name(LoRA_LINK, True)
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loramodel=f'/workspace/sd/
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if not os.path.exists(loramodel):
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gdown.download(url=LoRA_LINK, output=loramodel, quiet=False, fuzzy=True)
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clear_output()
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@@ -245,7 +245,7 @@ def loradwn(LoRA_LINK):
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print('[1;33mModel already exists')
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else:
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modelname=os.path.basename(LoRA_LINK)
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loramodel=f'/workspace/sd/
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if not os.path.exists(loramodel):
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gdown.download(url=LoRA_LINK, output=loramodel, quiet=False, fuzzy=True)
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clear_output()
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@@ -272,7 +272,7 @@ def CNet(ControlNet_Model, ControlNet_XL_Model):
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print(f"[1;32mThe model {filename} already exists[0m")
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wrngv1=False
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os.chdir('/workspace/sd/
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if not os.path.exists("sd-webui-controlnet"):
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call('git clone https://github.com/Mikubill/sd-webui-controlnet.git', shell=True)
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os.chdir('/workspace')
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@@ -282,7 +282,7 @@ def CNet(ControlNet_Model, ControlNet_XL_Model):
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call('git pull', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
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os.chdir('/workspace')
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mdldir="/workspace/sd/
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for filename in os.listdir(mdldir):
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if "_sd14v1" in filename:
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renamed = re.sub("_sd14v1", "-fp16", filename)
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@@ -361,16 +361,16 @@ def sd(User, Password, model):
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call('wget -q -O /usr/local/lib/python3.10/dist-packages/gradio/blocks.py https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/AUTOMATIC1111_files/blocks.py', shell=True)
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os.chdir('/workspace/sd/
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call("sed -i 's@possible_sd_paths =.*@possible_sd_paths = [\"/workspace/sd/stablediffusion\"]@' /workspace/sd/
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call("sed -i 's@\.\.\/@src/@g' /workspace/sd/
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call("sed -i 's@src\/generative-models@generative-models@g' /workspace/sd/
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call("sed -i 's@\[\"sd_model_checkpoint\"\]@\[\"sd_model_checkpoint\", \"sd_vae\", \"CLIP_stop_at_last_layers\", \"inpainting_mask_weight\", \"initial_noise_multiplier\"\]@g' /workspace/sd/
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call("sed -i 's@print(\"No module.*@@' /workspace/sd/stablediffusion/ldm/modules/diffusionmodules/model.py", shell=True)
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os.chdir('/workspace/sd/
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clear_output()
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podid=os.environ.get('RUNPOD_POD_ID')
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@@ -414,7 +414,7 @@ def save(Huggingface_Write_token):
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if os.path.exists('sd'):
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call('tar --exclude="
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api = HfApi()
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username = api.whoami(token=Huggingface_Write_token)["name"]
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call('tar --zstd -xf sd_mrep.tar.zst', shell=True)
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call('rm sd_mrep.tar.zst', shell=True)
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os.chdir('/workspace/sd')
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if not os.path.exists('SD'):
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call('git clone -q --depth 1 --branch main https://github.com/apollo812/SD', shell=True)
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else:
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call('rm sd_mrep.tar.zst', shell=True)
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os.chdir('/workspace/sd')
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if not os.path.exists('SD'):
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call('git clone -q --depth 1 --branch main https://github.com/apollo812/SD', shell=True)
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os.chdir('/workspace/sd/SD/')
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call('git reset --hard', shell=True)
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print('[1;32m')
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call('git pull', shell=True)
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src=getsrc(MODEL_LINK)
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if not os.path.exists('/workspace/sd/SD/models/Stable-diffusion/SDv1-5.ckpt'):
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call('ln -s /workspace/auto-models/* /workspace/sd/SD/models/Stable-diffusion', shell=True)
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if Path_to_MODEL !='':
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if os.path.exists(str(Path_to_MODEL)):
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if src=='civitai':
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modelname=get_name(MODEL_LINK, False)
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model=f'/workspace/sd/SD/models/Stable-diffusion/{modelname}'
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if not os.path.exists(model):
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dwn(MODEL_LINK, model, 'Downloading the custom model')
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clear_output()
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print('[1;33mModel already exists')
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elif src=='gdrive':
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modelname=get_name(MODEL_LINK, True)
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model=f'/workspace/sd/SD/models/Stable-diffusion/{modelname}'
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if not os.path.exists(model):
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gdown.download(url=MODEL_LINK, output=model, quiet=False, fuzzy=True)
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clear_output()
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print('[1;33mModel already exists')
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else:
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modelname=os.path.basename(MODEL_LINK)
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model=f'/workspace/sd/SD/models/Stable-diffusion/{modelname}'
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if not os.path.exists(model):
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gdown.download(url=MODEL_LINK, output=model, quiet=False, fuzzy=True)
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clear_output()
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else:
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if Original_Model_Version == "v1.5":
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model="/workspace/sd/SD/models/Stable-diffusion/SDv1-5.ckpt"
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print('[1;32mUsing the original V1.5 model')
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elif Original_Model_Version == "v2-512":
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model='/workspace/sd/SD/models/Stable-diffusion/SDv2-512.ckpt'
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if not os.path.exists('/workspace/sd/SD/models/Stable-diffusion/SDv2-512.ckpt'):
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print('[1;33mDownloading the V2-512 model...')
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call('gdown -O '+model+' https://huggingface.co/stabilityai/stable-diffusion-2-1-base/resolve/main/v2-1_512-nonema-pruned.ckpt', shell=True)
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clear_output()
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print('[1;32mUsing the original V2-512 model')
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elif Original_Model_Version == "v2-768":
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model="/workspace/sd/SD/models/Stable-diffusion/SDv2-768.ckpt"
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print('[1;32mUsing the original V2-768 model')
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elif Original_Model_Version == "SDXL":
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model="/workspace/sd/SD/models/Stable-diffusion/sd_xl_base_1.0.safetensors"
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print('[1;32mUsing the original SDXL model')
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else:
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model="/workspace/sd/SD/models/Stable-diffusion"
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print('[1;31mWrong model version, try again')
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try:
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model
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except:
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model="/workspace/sd/SD/models/Stable-diffusion"
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return model
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if LoRA_LINK=='':
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print('[1;33mNothing to do')
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else:
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os.makedirs('/workspace/sd/SD/models/Lora', exist_ok=True)
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src=getsrc(LoRA_LINK)
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if src=='civitai':
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modelname=get_name(LoRA_LINK, False)
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loramodel=f'/workspace/sd/SD/models/Lora/{modelname}'
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if not os.path.exists(loramodel):
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dwn(LoRA_LINK, loramodel, 'Downloading the LoRA model')
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clear_output()
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print('[1;33mModel already exists')
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elif src=='gdrive':
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modelname=get_name(LoRA_LINK, True)
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loramodel=f'/workspace/sd/SD/models/Lora/{modelname}'
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if not os.path.exists(loramodel):
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gdown.download(url=LoRA_LINK, output=loramodel, quiet=False, fuzzy=True)
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clear_output()
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print('[1;33mModel already exists')
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else:
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modelname=os.path.basename(LoRA_LINK)
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loramodel=f'/workspace/sd/SD/models/Lora/{modelname}'
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if not os.path.exists(loramodel):
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gdown.download(url=LoRA_LINK, output=loramodel, quiet=False, fuzzy=True)
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clear_output()
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print(f"[1;32mThe model {filename} already exists[0m")
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wrngv1=False
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os.chdir('/workspace/sd/SD/extensions')
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if not os.path.exists("sd-webui-controlnet"):
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call('git clone https://github.com/Mikubill/sd-webui-controlnet.git', shell=True)
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os.chdir('/workspace')
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call('git pull', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
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os.chdir('/workspace')
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mdldir="/workspace/sd/SD/extensions/sd-webui-controlnet/models"
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for filename in os.listdir(mdldir):
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if "_sd14v1" in filename:
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renamed = re.sub("_sd14v1", "-fp16", filename)
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call('wget -q -O /usr/local/lib/python3.10/dist-packages/gradio/blocks.py https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/AUTOMATIC1111_files/blocks.py', shell=True)
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os.chdir('/workspace/sd/SD/modules')
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call("sed -i 's@possible_sd_paths =.*@possible_sd_paths = [\"/workspace/sd/stablediffusion\"]@' /workspace/sd/SD/modules/paths.py", shell=True)
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call("sed -i 's@\.\.\/@src/@g' /workspace/sd/SD/modules/paths.py", shell=True)
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call("sed -i 's@src\/generative-models@generative-models@g' /workspace/sd/SD/modules/paths.py", shell=True)
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call("sed -i 's@\[\"sd_model_checkpoint\"\]@\[\"sd_model_checkpoint\", \"sd_vae\", \"CLIP_stop_at_last_layers\", \"inpainting_mask_weight\", \"initial_noise_multiplier\"\]@g' /workspace/sd/SD/modules/shared.py", shell=True)
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call("sed -i 's@print(\"No module.*@@' /workspace/sd/stablediffusion/ldm/modules/diffusionmodules/model.py", shell=True)
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os.chdir('/workspace/sd/SD')
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clear_output()
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podid=os.environ.get('RUNPOD_POD_ID')
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if os.path.exists('sd'):
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call('tar --exclude="SD/models/*/*" --exclude="sd-webui-controlnet/models/*" --zstd -cf sd_backup_rnpd.tar.zst sd', shell=True)
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api = HfApi()
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username = api.whoami(token=Huggingface_Write_token)["name"]
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