root commited on
Commit
50f301d
·
1 Parent(s): 7c65853

removing subfolder

Browse files
__pycache__/handler.cpython-310.pyc CHANGED
Binary files a/__pycache__/handler.cpython-310.pyc and b/__pycache__/handler.cpython-310.pyc differ
 
handler.py CHANGED
@@ -47,11 +47,10 @@ class EndpointHandler():
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  vae = AutoencoderKL.from_pretrained(config_path).to(device, dtype=self.weight_dtype)
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- pretrained_base_model_path = os.path.join(base_dir, 'pretrained_weights', 'stable-diffusion-v1-5')
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  reference_unet = UNet2DConditionModel.from_pretrained(
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- pretrained_base_model_path,
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- subfolder="unet"
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  ).to(device, dtype=self.weight_dtype)
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  inference_config_path = os.path.join(base_dir, 'configs', 'inference', 'inference_v2.yaml')
@@ -63,9 +62,8 @@ class EndpointHandler():
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  infer_config = OmegaConf.load(inference_config_path)
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  denoising_unet = UNet3DConditionModel.from_pretrained_2d(
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- pretrained_base_model_path,
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  motion_module_path,
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- subfolder="unet",
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  unet_additional_kwargs=infer_config.unet_additional_kwargs,
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  ).to(device, dtype=self.weight_dtype)
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  vae = AutoencoderKL.from_pretrained(config_path).to(device, dtype=self.weight_dtype)
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+ pretrained_base_model_path_unet = os.path.join(base_dir, 'pretrained_weights', 'stable-diffusion-v1-5', 'unet')
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  reference_unet = UNet2DConditionModel.from_pretrained(
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+ pretrained_base_model_path_unet,
 
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  ).to(device, dtype=self.weight_dtype)
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  inference_config_path = os.path.join(base_dir, 'configs', 'inference', 'inference_v2.yaml')
 
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  infer_config = OmegaConf.load(inference_config_path)
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  denoising_unet = UNet3DConditionModel.from_pretrained_2d(
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+ pretrained_base_model_path_unet,
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  motion_module_path,
 
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  unet_additional_kwargs=infer_config.unet_additional_kwargs,
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  ).to(device, dtype=self.weight_dtype)
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output.mp4 ADDED
Binary file (96.9 kB). View file
 
output/gradio/animation_output.mp4 CHANGED
Binary files a/output/gradio/animation_output.mp4 and b/output/gradio/animation_output.mp4 differ