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53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
# coding=utf-8
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# Copyright 2025 HuggingFace Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import torch
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from diffusers import (
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ControlNetModel,
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)
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from ..testing_utils import (
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enable_full_determinism,
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)
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from .single_file_testing_utils import SingleFileModelTesterMixin
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enable_full_determinism()
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class TestControlNetModelSingleFile(SingleFileModelTesterMixin):
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model_class = ControlNetModel
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ckpt_path = "https://huggingface.co/lllyasviel/ControlNet-v1-1/blob/main/control_v11p_sd15_canny.pth"
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repo_id = "lllyasviel/control_v11p_sd15_canny"
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def test_single_file_arguments(self):
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model_default = self.model_class.from_single_file(self.ckpt_path)
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assert model_default.config.upcast_attention is False
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assert model_default.dtype == torch.float32
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torch_dtype = torch.float16
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upcast_attention = True
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model = self.model_class.from_single_file(
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self.ckpt_path,
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upcast_attention=upcast_attention,
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torch_dtype=torch_dtype,
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)
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assert model.config.upcast_attention == upcast_attention
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assert model.dtype == torch_dtype
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