Merge branch 'pr/799'
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@@ -73,7 +73,10 @@ def apply_lora(model, device_to, transformer_load_device, params_to_keep=None, d
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set_module_tensor_to_device(model.model.diffusion_model, key, device=transformer_load_device, dtype=dtype_to_use, value=state_dict[key])
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except:
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continue
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model.patch_weight_to_device("{}.{}".format(name, param), device_to=device_to)
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if low_mem_load:
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model.patch_weight_to_device("{}.{}".format(name, param), device_to=device_to, inplace_update=True)
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else:
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model.patch_weight_to_device("{}.{}".format(name, param), device_to=device_to)
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if low_mem_load:
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try:
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set_module_tensor_to_device(model.model.diffusion_model, key, device=transformer_load_device, dtype=dtype_to_use, value=model.model.diffusion_model.state_dict()[key])
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@@ -237,4 +240,4 @@ def fourier_filter(x, scale_low=1.0, scale_high=1.5, freq_cutoff=20):
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def is_image_black(image, threshold=1e-3):
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if image.min() < 0:
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image = (image + 1) / 2
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return torch.all(image < threshold).item()
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return torch.all(image < threshold).item()
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