Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -24,6 +24,7 @@ import paramiko
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import gc
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import time
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import datetime
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#os.system("chmod +x ./cusparselt.sh")
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#os.system("./cusparselt.sh")
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#os.system("chmod +x ./cudnn.sh")
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@@ -96,6 +97,7 @@ DEFAULT_STYLE_NAME = "Style Zero"
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STYLE_NAMES = list(styles.keys())
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HF_TOKEN = os.getenv("HF_TOKEN")
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def apply_style(style_name: str, positive: str, negative: str = "") -> Tuple[str, str]:
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if style_name in styles:
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p, n = styles.get(style_name, styles[DEFAULT_STYLE_NAME])
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@@ -135,9 +137,9 @@ def load_and_prepare_model(model_id):
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# vae=AutoencoderKL.from_pretrained("BeastHF/MyBack_SDXL_Juggernaut_XL_VAE/MyBack_SDXL_Juggernaut_XL_VAE_V10(version_X).safetensors",repo_type='model',safety_checker=None),
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# vae=AutoencoderKL.from_pretrained("stabilityai/sdxl-vae",repo_type='model',safety_checker=None, torch_dtype=torch.float32),
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# vae=AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16",repo_type='model',safety_checker=None),
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vae=vae,
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unet=pipeX.unet,
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scheduler = sched,
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# scheduler = EulerAncestralDiscreteScheduler.from_config(pipeX.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
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#scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset =1)
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)
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@@ -145,8 +147,9 @@ def load_and_prepare_model(model_id):
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#pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
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#pipe.to('cuda')
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# pipe.scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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#pipe.to(dtype=torch.bfloat16)
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#pipe.unet = pipeX.unet
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import gc
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import time
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import datetime
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+
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#os.system("chmod +x ./cusparselt.sh")
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#os.system("./cusparselt.sh")
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#os.system("chmod +x ./cudnn.sh")
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STYLE_NAMES = list(styles.keys())
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HF_TOKEN = os.getenv("HF_TOKEN")
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def apply_style(style_name: str, positive: str, negative: str = "") -> Tuple[str, str]:
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if style_name in styles:
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p, n = styles.get(style_name, styles[DEFAULT_STYLE_NAME])
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# vae=AutoencoderKL.from_pretrained("BeastHF/MyBack_SDXL_Juggernaut_XL_VAE/MyBack_SDXL_Juggernaut_XL_VAE_V10(version_X).safetensors",repo_type='model',safety_checker=None),
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# vae=AutoencoderKL.from_pretrained("stabilityai/sdxl-vae",repo_type='model',safety_checker=None, torch_dtype=torch.float32),
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# vae=AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16",repo_type='model',safety_checker=None),
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#vae=vae,
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#unet=pipeX.unet,
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#scheduler = sched,
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# scheduler = EulerAncestralDiscreteScheduler.from_config(pipeX.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
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#scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset =1)
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)
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#pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
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#pipe.to('cuda')
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pipe.scheduler = sched
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pipe.vae=vae
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pipe.unet=pipeX.unet
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# pipe.scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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#pipe.to(dtype=torch.bfloat16)
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#pipe.unet = pipeX.unet
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