fix torch_dtype & cpu_text_encoder
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@ -111,7 +111,7 @@ class ControlNet(DiffusionInpaintModel):
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pretrained_model_name_or_path=model_info.path,
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controlnet=controlnet,
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variant="fp16",
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dtype=torch_dtype,
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torch_dtype=torch_dtype,
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**model_kwargs,
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)
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@ -8,6 +8,7 @@ class CPUTextEncoderWrapper(PreTrainedModel):
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def __init__(self, text_encoder, torch_dtype):
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super().__init__(text_encoder.config)
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self.config = text_encoder.config
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self._device = text_encoder.device
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# cpu not support float16
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self.text_encoder = text_encoder.to(torch.device("cpu"), non_blocking=True)
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self.text_encoder = self.text_encoder.to(torch.float32, non_blocking=True)
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@ -30,3 +31,11 @@ class CPUTextEncoderWrapper(PreTrainedModel):
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@property
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def dtype(self):
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return self.torch_dtype
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@property
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def device(self) -> torch.device:
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"""
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`torch.device`: The device on which the module is (assuming that all the module parameters are on the same
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device).
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"""
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return self._device
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@ -50,7 +50,7 @@ class SD(DiffusionInpaintModel):
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self.model = StableDiffusionInpaintPipeline.from_single_file(
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self.model_id_or_path,
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dtype=torch_dtype,
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torch_dtype=torch_dtype,
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load_safety_checker=not disable_nsfw_checker,
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config_files=get_config_files(),
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**model_kwargs,
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@ -60,7 +60,7 @@ class SD(DiffusionInpaintModel):
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StableDiffusionInpaintPipeline.from_pretrained,
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pretrained_model_name_or_path=self.model_id_or_path,
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variant="fp16",
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dtype=torch_dtype,
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torch_dtype=torch_dtype,
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**model_kwargs,
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)
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@ -39,7 +39,7 @@ class SDXL(DiffusionInpaintModel):
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if os.path.isfile(self.model_id_or_path):
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self.model = StableDiffusionXLInpaintPipeline.from_single_file(
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self.model_id_or_path,
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dtype=torch_dtype,
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torch_dtype=torch_dtype,
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num_in_channels=num_in_channels,
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load_safety_checker=False,
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config_files=get_config_files()
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