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8eb17315c8
* get rid of the legacy lora remnants and make our codebase lighter * fix depcrecated lora argument * fix * empty commit to trigger ci * remove print * empty
55 lines
1.9 KiB
Markdown
55 lines
1.9 KiB
Markdown
<!--Copyright 2024 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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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
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specific language governing permissions and limitations under the License.
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-->
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# Attention Processor
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An attention processor is a class for applying different types of attention mechanisms.
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## AttnProcessor
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[[autodoc]] models.attention_processor.AttnProcessor
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## AttnProcessor2_0
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[[autodoc]] models.attention_processor.AttnProcessor2_0
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## AttnAddedKVProcessor
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[[autodoc]] models.attention_processor.AttnAddedKVProcessor
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## AttnAddedKVProcessor2_0
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[[autodoc]] models.attention_processor.AttnAddedKVProcessor2_0
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## CrossFrameAttnProcessor
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[[autodoc]] pipelines.text_to_video_synthesis.pipeline_text_to_video_zero.CrossFrameAttnProcessor
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## CustomDiffusionAttnProcessor
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[[autodoc]] models.attention_processor.CustomDiffusionAttnProcessor
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## CustomDiffusionAttnProcessor2_0
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[[autodoc]] models.attention_processor.CustomDiffusionAttnProcessor2_0
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## CustomDiffusionXFormersAttnProcessor
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[[autodoc]] models.attention_processor.CustomDiffusionXFormersAttnProcessor
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## FusedAttnProcessor2_0
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[[autodoc]] models.attention_processor.FusedAttnProcessor2_0
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## SlicedAttnProcessor
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[[autodoc]] models.attention_processor.SlicedAttnProcessor
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## SlicedAttnAddedKVProcessor
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[[autodoc]] models.attention_processor.SlicedAttnAddedKVProcessor
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## XFormersAttnProcessor
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[[autodoc]] models.attention_processor.XFormersAttnProcessor
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## AttnProcessorNPU
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[[autodoc]] models.attention_processor.AttnProcessorNPU
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