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* Add controlnet from single file * Updates * make style * finish * Apply suggestions from code review Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
46 lines
1.6 KiB
Plaintext
46 lines
1.6 KiB
Plaintext
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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specific language governing permissions and limitations under the License.
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-->
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# Loaders
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Adapters (textual inversion, LoRA, hypernetworks) allow you to modify a diffusion model to generate images in a specific style without training or finetuning the entire model. The adapter weights are typically only a tiny fraction of the pretrained model's which making them very portable. 🤗 Diffusers provides an easy-to-use `LoaderMixin` API to load adapter weights.
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<Tip warning={true}>
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🧪 The `LoaderMixins` are highly experimental and prone to future changes. To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with `huggingface-cli login`.
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</Tip>
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## UNet2DConditionLoadersMixin
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[[autodoc]] loaders.UNet2DConditionLoadersMixin
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## TextualInversionLoaderMixin
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[[autodoc]] loaders.TextualInversionLoaderMixin
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## LoraLoaderMixin
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[[autodoc]] loaders.LoraLoaderMixin
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## FromSingleFileMixin
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[[autodoc]] loaders.FromSingleFileMixin
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## FromOriginalControlnetMixin
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[[autodoc]] loaders.FromOriginalControlnetMixin
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## FromOriginalVAEMixin
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[[autodoc]] loaders.FromOriginalVAEMixin
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