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ac2243f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 | # coding=utf-8
# Copyright 2025 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import torch
from diffusers import (
ControlNetModel,
)
from ..testing_utils import (
enable_full_determinism,
)
from .single_file_testing_utils import SingleFileModelTesterMixin
enable_full_determinism()
class TestControlNetModelSingleFile(SingleFileModelTesterMixin):
model_class = ControlNetModel
ckpt_path = "https://huggingface.co/lllyasviel/ControlNet-v1-1/blob/main/control_v11p_sd15_canny.pth"
repo_id = "lllyasviel/control_v11p_sd15_canny"
def test_single_file_arguments(self):
model_default = self.model_class.from_single_file(self.ckpt_path)
assert model_default.config.upcast_attention is False
assert model_default.dtype == torch.float32
torch_dtype = torch.float16
upcast_attention = True
model = self.model_class.from_single_file(
self.ckpt_path,
upcast_attention=upcast_attention,
torch_dtype=torch_dtype,
)
assert model.config.upcast_attention == upcast_attention
assert model.dtype == torch_dtype
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