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Download src/diffusers/pipelines/stable_diffusion/clip_image_project_model.py from multimodalart/InvSR-zerogpu: direct link, hf CLI and curl.
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https://huggingface.co/spaces/multimodalart/InvSR-zerogpu/resolve/main/src/diffusers/pipelines/stable_diffusion/clip_image_project_model.py
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hf download hf://spaces/multimodalart/InvSR-zerogpu/src/diffusers/pipelines/stable_diffusion/clip_image_project_model.py
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curl -L -o clip_image_project_model.py https://huggingface.co/spaces/multimodalart/InvSR-zerogpu/resolve/main/src/diffusers/pipelines/stable_diffusion/clip_image_project_model.py
1.09 kB
| # Copyright 2024 The GLIGEN Authors and HuggingFace Team. All rights reserved. | |
| # | |
| # 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. | |
| from torch import nn | |
| from ...configuration_utils import ConfigMixin, register_to_config | |
| from ...models.modeling_utils import ModelMixin | |
| class CLIPImageProjection(ModelMixin, ConfigMixin): | |
| def __init__(self, hidden_size: int = 768): | |
| super().__init__() | |
| self.hidden_size = hidden_size | |
| self.project = nn.Linear(self.hidden_size, self.hidden_size, bias=False) | |
| def forward(self, x): | |
| return self.project(x) | |