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Real-Time-Latent-Consistency-Model
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radames commited on
Commit
1af368e
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1 Parent(s): dabf711

only vae unet

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Files changed (3) hide show
  1. app-controlnet.py +0 -2
  2. app-img2img.py +0 -2
  3. app-txt2img.py +0 -2
app-controlnet.py CHANGED
@@ -107,8 +107,6 @@ compel_proc = Compel(
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  truncate_long_prompts=False,
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  )
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  if TORCH_COMPILE:
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- pipe.text_encoder = torch.compile(pipe.text_encoder, mode="max-autotune", fullgraph=False)
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- pipe.tokenizer = torch.compile(pipe.tokenizer, mode="max-autotune", fullgraph=False)
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  pipe.unet = torch.compile(pipe.unet, mode="max-autotune", fullgraph=False)
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  pipe.vae = torch.compile(pipe.vae, mode="max-autotune", fullgraph=False)
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  truncate_long_prompts=False,
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  )
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  if TORCH_COMPILE:
 
 
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  pipe.unet = torch.compile(pipe.unet, mode="max-autotune", fullgraph=False)
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  pipe.vae = torch.compile(pipe.vae, mode="max-autotune", fullgraph=False)
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app-img2img.py CHANGED
@@ -79,8 +79,6 @@ if psutil.virtual_memory().total < 64 * 1024**3:
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  pipe.enable_attention_slicing()
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  if TORCH_COMPILE:
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- pipe.text_encoder = torch.compile(pipe.text_encoder, mode="max-autotune", fullgraph=False)
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- pipe.tokenizer = torch.compile(pipe.tokenizer, mode="max-autotune", fullgraph=False)
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  pipe.unet = torch.compile(pipe.unet, mode="max-autotune", fullgraph=False)
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  pipe.vae = torch.compile(pipe.vae, mode="max-autotune", fullgraph=False)
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  pipe.enable_attention_slicing()
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  if TORCH_COMPILE:
 
 
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  pipe.unet = torch.compile(pipe.unet, mode="max-autotune", fullgraph=False)
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  pipe.vae = torch.compile(pipe.vae, mode="max-autotune", fullgraph=False)
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app-txt2img.py CHANGED
@@ -79,8 +79,6 @@ if psutil.virtual_memory().total < 64 * 1024**3:
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  pipe.enable_attention_slicing()
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  if TORCH_COMPILE:
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- pipe.text_encoder = torch.compile(pipe.text_encoder, mode="max-autotune", fullgraph=False)
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- pipe.tokenizer = torch.compile(pipe.tokenizer, mode="max-autotune", fullgraph=False)
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  pipe.unet = torch.compile(pipe.unet, mode="max-autotune", fullgraph=False)
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  pipe.vae = torch.compile(pipe.vae, mode="max-autotune", fullgraph=False)
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  pipe.enable_attention_slicing()
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  if TORCH_COMPILE:
 
 
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  pipe.unet = torch.compile(pipe.unet, mode="max-autotune", fullgraph=False)
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  pipe.vae = torch.compile(pipe.vae, mode="max-autotune", fullgraph=False)
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