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Merge branch 'comfyanonymous:master' into master
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commit
eae1c15ab1
@ -237,6 +237,7 @@ class ControlNet(ControlBase):
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if len(self.extra_concat_orig) > 0:
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if len(self.extra_concat_orig) > 0:
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to_concat = []
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to_concat = []
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for c in self.extra_concat_orig:
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for c in self.extra_concat_orig:
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c = c.to(self.cond_hint.device)
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c = comfy.utils.common_upscale(c, self.cond_hint.shape[3], self.cond_hint.shape[2], self.upscale_algorithm, "center")
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c = comfy.utils.common_upscale(c, self.cond_hint.shape[3], self.cond_hint.shape[2], self.upscale_algorithm, "center")
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to_concat.append(comfy.utils.repeat_to_batch_size(c, self.cond_hint.shape[0]))
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to_concat.append(comfy.utils.repeat_to_batch_size(c, self.cond_hint.shape[0]))
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self.cond_hint = torch.cat([self.cond_hint] + to_concat, dim=1)
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self.cond_hint = torch.cat([self.cond_hint] + to_concat, dim=1)
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@ -584,7 +584,7 @@ def load_state_dict_guess_config(sd, output_vae=True, output_clip=True, output_c
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unet_weight_dtype.append(weight_dtype)
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unet_weight_dtype.append(weight_dtype)
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model_config.custom_operations = model_options.get("custom_operations", None)
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model_config.custom_operations = model_options.get("custom_operations", None)
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unet_dtype = model_options.get("weight_dtype", None)
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unet_dtype = model_options.get("dtype", model_options.get("weight_dtype", None))
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if unet_dtype is None:
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if unet_dtype is None:
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unet_dtype = model_management.unet_dtype(model_params=parameters, supported_dtypes=unet_weight_dtype)
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unet_dtype = model_management.unet_dtype(model_params=parameters, supported_dtypes=unet_weight_dtype)
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