aijack commited on
Commit
d3346dc
·
1 Parent(s): 7fc5d17

Update app.py

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Files changed (1) hide show
  1. app.py +6 -6
app.py CHANGED
@@ -34,7 +34,7 @@ from util import *
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  from huggingface_hub import hf_hub_download
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  device= 'cpu'
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- model_path_e = hf_hub_download(repo_id="aijackliu/e4e", filename="e4e.pt")
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  ckpt = torch.load(model_path_e, map_location='cpu')
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  opts = ckpt['opts']
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  opts['checkpoint_path'] = model_path_e
@@ -70,7 +70,7 @@ device = 'cpu'
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  latent_dim = 512
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- model_path_s = hf_hub_download(repo_id="aijackliu/stylegan2", filename="stylegan2.pt")
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  original_generator = Generator(1024, latent_dim, 8, 2).to(device)
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  ckpt = torch.load(model_path_s, map_location=lambda storage, loc: storage)
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  original_generator.load_state_dict(ckpt["g_ema"], strict=False)
@@ -96,24 +96,24 @@ transform = transforms.Compose(
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- modeljojo = hf_hub_download(repo_id="aijackliu/jojo", filename="jojo.pt")
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  ckptjojo = torch.load(modeljojo, map_location=lambda storage, loc: storage)
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  generatorjojo.load_state_dict(ckptjojo["g"], strict=False)
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- modelcaitlyn = hf_hub_download(repo_id="aijackliu/arcane", filename="arcane.pt")
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  ckptcaitlyn = torch.load(modelcaitlyn, map_location=lambda storage, loc: storage)
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  generatorcaitlyn.load_state_dict(ckptcaitlyn["g"], strict=False)
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- modelart = hf_hub_download(repo_id="aijackliu/art", filename="art.pt")
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  ckptart = torch.load(modelart, map_location=lambda storage, loc: storage)
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  generatorart.load_state_dict(ckptart["g"], strict=False)
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- modelSketch = hf_hub_download(repo_id="aijackliu/sketch", filename="sketch.pt")
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  ckptsketch = torch.load(modelSketch, map_location=lambda storage, loc: storage)
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  generatorsketch.load_state_dict(ckptsketch["g"], strict=False)
 
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  from huggingface_hub import hf_hub_download
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  device= 'cpu'
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+ model_path_e = hf_hub_download(repo_id="aijack/e4e", filename="e4e.pt")
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  ckpt = torch.load(model_path_e, map_location='cpu')
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  opts = ckpt['opts']
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  opts['checkpoint_path'] = model_path_e
 
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  latent_dim = 512
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+ model_path_s = hf_hub_download(repo_id="aijack/stylegan2", filename="stylegan2.pt")
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  original_generator = Generator(1024, latent_dim, 8, 2).to(device)
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  ckpt = torch.load(model_path_s, map_location=lambda storage, loc: storage)
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  original_generator.load_state_dict(ckpt["g_ema"], strict=False)
 
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+ modeljojo = hf_hub_download(repo_id="aijack/jojo", filename="jojo.pt")
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  ckptjojo = torch.load(modeljojo, map_location=lambda storage, loc: storage)
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  generatorjojo.load_state_dict(ckptjojo["g"], strict=False)
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+ modelcaitlyn = hf_hub_download(repo_id="aijack/arcane", filename="arcane.pt")
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  ckptcaitlyn = torch.load(modelcaitlyn, map_location=lambda storage, loc: storage)
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  generatorcaitlyn.load_state_dict(ckptcaitlyn["g"], strict=False)
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+ modelart = hf_hub_download(repo_id="aijack/art", filename="art.pt")
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  ckptart = torch.load(modelart, map_location=lambda storage, loc: storage)
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  generatorart.load_state_dict(ckptart["g"], strict=False)
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+ modelSketch = hf_hub_download(repo_id="aijack/sketch", filename="sketch.pt")
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  ckptsketch = torch.load(modelSketch, map_location=lambda storage, loc: storage)
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  generatorsketch.load_state_dict(ckptsketch["g"], strict=False)