Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -285,7 +285,7 @@ def generate_30(
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ip_model = IPAdapterXL(pipe, local_folder, ip_ckpt, device)
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seed = int(randomize_seed_fn(seed, randomize_seed))
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generator = torch.Generator(device='cuda').manual_seed(seed)
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if latent_file: # Check if a latent file is provided
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#sd_image_a = torch.load(latent_file.name) # Load the latent
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sd_image_a = Image.open(latent_file.name)
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timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
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@@ -339,7 +339,7 @@ def generate_60(
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ip_model = IPAdapterXL(pipe, local_folder, ip_ckpt, device)
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seed = int(randomize_seed_fn(seed, randomize_seed))
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generator = torch.Generator(device='cuda').manual_seed(seed)
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if latent_file: # Check if a latent file is provided
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#sd_image_a = torch.load(latent_file.name) # Load the latent
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sd_image_a = Image.open(latent_file.name)
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timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
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@@ -393,7 +393,7 @@ def generate_90(
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ip_model = IPAdapterXL(pipe, local_folder, ip_ckpt, device)
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seed = int(randomize_seed_fn(seed, randomize_seed))
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generator = torch.Generator(device='cuda').manual_seed(seed)
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if latent_file: # Check if a latent file is provided
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#sd_image_a = torch.load(latent_file.name) # Load the latent
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sd_image_a = Image.open(latent_file.name)
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timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
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ip_model = IPAdapterXL(pipe, local_folder, ip_ckpt, device)
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seed = int(randomize_seed_fn(seed, randomize_seed))
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generator = torch.Generator(device='cuda').manual_seed(seed)
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if latent_file.any(): # Check if a latent file is provided
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#sd_image_a = torch.load(latent_file.name) # Load the latent
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sd_image_a = Image.open(latent_file.name)
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timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
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ip_model = IPAdapterXL(pipe, local_folder, ip_ckpt, device)
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seed = int(randomize_seed_fn(seed, randomize_seed))
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generator = torch.Generator(device='cuda').manual_seed(seed)
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if latent_file.any(): # Check if a latent file is provided
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#sd_image_a = torch.load(latent_file.name) # Load the latent
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sd_image_a = Image.open(latent_file.name)
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timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
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ip_model = IPAdapterXL(pipe, local_folder, ip_ckpt, device)
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seed = int(randomize_seed_fn(seed, randomize_seed))
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generator = torch.Generator(device='cuda').manual_seed(seed)
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if latent_file.any(): # Check if a latent file is provided
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#sd_image_a = torch.load(latent_file.name) # Load the latent
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sd_image_a = Image.open(latent_file.name)
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timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
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