update

[Refactor] FreeInit for AnimateDiff based pipelines (#6874 )
* update * update * update * update * update * update * update * update * update * update
2025-12-07 21:14:44 +08:00 · 2024-02-19 14:39:46 +00:00 · 2024-02-19 11:11:42 +05:30 · 2024-02-19 10:09:19 +05:30 · 2024-02-19 09:50:18 +05:30 · 2024-02-18 18:06:14 -10:00
786 changed files with 5501 additions and 5935 deletions
--- a/.github/workflows/benchmark.yml
+++ b/.github/workflows/benchmark.yml
@@ -32,7 +32,7 @@ jobs:
        run: |
          apt-get update && apt-get install libsndfile1-dev libgl1 -y
          python -m pip install -e .[quality,test]
-          python -m pip install pandas
+          python -m pip install pandas peft
      - name: Environment
        run: |
          python utils/print_env.py
--- a/.github/workflows/pr_tests.yml
+++ b/.github/workflows/pr_tests.yml
@@ -34,11 +34,6 @@ jobs:
            runner: docker-cpu
            image: diffusers/diffusers-pytorch-cpu
            report: torch_cpu_models_schedulers
-          - name: LoRA
-            framework: lora
-            runner: docker-cpu
-            image: diffusers/diffusers-pytorch-cpu
-            report: torch_cpu_lora
          - name: Fast Flax CPU tests
            framework: flax
            runner: docker-cpu
@@ -94,14 +89,6 @@ jobs:
          --make-reports=tests_${{ matrix.config.report }} \
          tests/models tests/schedulers tests/others

-    - name: Run fast PyTorch LoRA CPU tests
-      if: ${{ matrix.config.framework == 'lora' }}
-      run: |
-        python -m pytest -n 2 --max-worker-restart=0 --dist=loadfile \
-          -s -v -k "not Flax and not Onnx and not Dependency" \
-          --make-reports=tests_${{ matrix.config.report }} \
-          tests/lora
-
    - name: Run fast Flax TPU tests
      if: ${{ matrix.config.framework == 'flax' }}
      run: |
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/PHILOSOPHY.md
+++ b/PHILOSOPHY.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docker/diffusers-pytorch-compile-cuda/Dockerfile
+++ b/docker/diffusers-pytorch-compile-cuda/Dockerfile
@@ -26,9 +26,9 @@ ENV PATH="/opt/venv/bin:$PATH"
 # pre-install the heavy dependencies (these can later be overridden by the deps from setup.py)
 RUN python3.9 -m pip install --no-cache-dir --upgrade pip && \
    python3.9 -m pip install --no-cache-dir \
-    torch==2.1.2 \
-    torchvision==0.16.2 \
-    torchaudio==2.1.2 \
+    torch \
+    torchvision \
+    torchaudio \
    invisible_watermark && \
    python3.9 -m pip install --no-cache-dir \
    accelerate \
--- a/docker/diffusers-pytorch-cpu/Dockerfile
+++ b/docker/diffusers-pytorch-cpu/Dockerfile
@@ -25,9 +25,9 @@ ENV PATH="/opt/venv/bin:$PATH"
 # pre-install the heavy dependencies (these can later be overridden by the deps from setup.py)
 RUN python3 -m pip install --no-cache-dir --upgrade pip && \
    python3 -m pip install --no-cache-dir \
-        torch==2.1.2 \
-        torchvision==0.16.2 \
-        torchaudio==2.1.2 \
+        torch \
+        torchvision \
+        torchaudio \
        invisible_watermark \
        --extra-index-url https://download.pytorch.org/whl/cpu && \
    python3 -m pip install --no-cache-dir \
--- a/docker/diffusers-pytorch-cuda/Dockerfile
+++ b/docker/diffusers-pytorch-cuda/Dockerfile
@@ -25,9 +25,9 @@ ENV PATH="/opt/venv/bin:$PATH"
 # pre-install the heavy dependencies (these can later be overridden by the deps from setup.py)
 RUN python3 -m pip install --no-cache-dir --upgrade pip && \
    python3 -m pip install --no-cache-dir \
-    torch==2.1.2 \
-    torchvision==0.16.2 \
-    torchaudio==2.1.2 \
+    torch \
+    torchvision \
+    torchaudio \
    invisible_watermark && \
    python3 -m pip install --no-cache-dir \
    accelerate \
--- a/docker/diffusers-pytorch-xformers-cuda/Dockerfile
+++ b/docker/diffusers-pytorch-xformers-cuda/Dockerfile
@@ -25,9 +25,9 @@ ENV PATH="/opt/venv/bin:$PATH"
 # pre-install the heavy dependencies (these can later be overridden by the deps from setup.py)
 RUN python3 -m pip install --no-cache-dir --upgrade pip && \
    python3 -m pip install --no-cache-dir \
-        torch==2.1.2 \
-        torchvision==0.16.2 \
-        torchaudio==2.1.2 \
+        torch \
+        torchvision \
+        torchaudio \
        invisible_watermark && \
    python3 -m pip install --no-cache-dir \
        accelerate \
--- a/docs/README.md
+++ b/docs/README.md
@@ -1,5 +1,5 @@
 <!---
-Copyright 2023- The HuggingFace Team. All rights reserved.
+Copyright 2024- The 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.
--- a/docs/TRANSLATING.md
+++ b/docs/TRANSLATING.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/_toctree.yml
+++ b/docs/source/en/_toctree.yml
@@ -52,12 +52,16 @@
      title: Image-to-image
    - local: using-diffusers/inpaint
      title: Inpainting
+    - local: using-diffusers/text-img2vid
+      title: Text or image-to-video
    - local: using-diffusers/depth2img
      title: Depth-to-image
    title: Tasks
  - sections:
    - local: using-diffusers/textual_inversion_inference
      title: Textual inversion
+    - local: using-diffusers/ip_adapter
+      title: IP-Adapter
    - local: training/distributed_inference
      title: Distributed inference with multiple GPUs
    - local: using-diffusers/reusing_seeds
@@ -321,6 +325,8 @@
        title: Text-to-image
      - local: api/pipelines/stable_diffusion/img2img
        title: Image-to-image
+      - local: api/pipelines/stable_diffusion/svd
+        title: Image-to-video
      - local: api/pipelines/stable_diffusion/inpaint
        title: Inpainting
      - local: api/pipelines/stable_diffusion/depth2img
--- a/docs/source/en/api/activations.md
+++ b/docs/source/en/api/activations.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/attnprocessor.md
+++ b/docs/source/en/api/attnprocessor.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
@@ -20,6 +20,24 @@ An attention processor is a class for applying different types of attention mech
 ## AttnProcessor2_0
 [[autodoc]] models.attention_processor.AttnProcessor2_0

+## AttnAddedKVProcessor
+[[autodoc]] models.attention_processor.AttnAddedKVProcessor
+
+## AttnAddedKVProcessor2_0
+[[autodoc]] models.attention_processor.AttnAddedKVProcessor2_0
+
+## CrossFrameAttnProcessor
+[[autodoc]] pipelines.text_to_video_synthesis.pipeline_text_to_video_zero.CrossFrameAttnProcessor
+
+## CustomDiffusionAttnProcessor
+[[autodoc]] models.attention_processor.CustomDiffusionAttnProcessor
+
+## CustomDiffusionAttnProcessor2_0
+[[autodoc]] models.attention_processor.CustomDiffusionAttnProcessor2_0
+
+## CustomDiffusionXFormersAttnProcessor
+[[autodoc]] models.attention_processor.CustomDiffusionXFormersAttnProcessor
+
 ## FusedAttnProcessor2_0
 [[autodoc]] models.attention_processor.FusedAttnProcessor2_0

@@ -29,32 +47,17 @@ An attention processor is a class for applying different types of attention mech
 ## LoRAAttnProcessor2_0
 [[autodoc]] models.attention_processor.LoRAAttnProcessor2_0

-## CustomDiffusionAttnProcessor
-[[autodoc]] models.attention_processor.CustomDiffusionAttnProcessor
-
-## CustomDiffusionAttnProcessor2_0
-[[autodoc]] models.attention_processor.CustomDiffusionAttnProcessor2_0
-
-## AttnAddedKVProcessor
-[[autodoc]] models.attention_processor.AttnAddedKVProcessor
-
-## AttnAddedKVProcessor2_0
-[[autodoc]] models.attention_processor.AttnAddedKVProcessor2_0
-
 ## LoRAAttnAddedKVProcessor
 [[autodoc]] models.attention_processor.LoRAAttnAddedKVProcessor

-## XFormersAttnProcessor
-[[autodoc]] models.attention_processor.XFormersAttnProcessor
-
 ## LoRAXFormersAttnProcessor
 [[autodoc]] models.attention_processor.LoRAXFormersAttnProcessor

-## CustomDiffusionXFormersAttnProcessor
-[[autodoc]] models.attention_processor.CustomDiffusionXFormersAttnProcessor
-
 ## SlicedAttnProcessor
 [[autodoc]] models.attention_processor.SlicedAttnProcessor

 ## SlicedAttnAddedKVProcessor
 [[autodoc]] models.attention_processor.SlicedAttnAddedKVProcessor
+
+## XFormersAttnProcessor
+[[autodoc]] models.attention_processor.XFormersAttnProcessor
--- a/docs/source/en/api/configuration.md
+++ b/docs/source/en/api/configuration.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/image_processor.md
+++ b/docs/source/en/api/image_processor.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/internal_classes_overview.md
+++ b/docs/source/en/api/internal_classes_overview.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/loaders/ip_adapter.md
+++ b/docs/source/en/api/loaders/ip_adapter.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
@@ -12,11 +12,11 @@ specific language governing permissions and limitations under the License.

 # IP-Adapter

-[IP-Adapter](https://hf.co/papers/2308.06721) is a lightweight adapter that enables prompting a diffusion model with an image. This method decouples the cross-attention layers of the image and text features. The image features are generated from an image encoder. Files generated from IP-Adapter are only ~100MBs.
+[IP-Adapter](https://hf.co/papers/2308.06721) is a lightweight adapter that enables prompting a diffusion model with an image. This method decouples the cross-attention layers of the image and text features. The image features are generated from an image encoder.

 <Tip>

-Learn how to load an IP-Adapter checkpoint and image in the [IP-Adapter](../../using-diffusers/loading_adapters#ip-adapter) loading guide.
+Learn how to load an IP-Adapter checkpoint and image in the IP-Adapter [loading](../../using-diffusers/loading_adapters#ip-adapter) guide, and you can see how to use it in the [usage](../../using-diffusers/ip_adapter) guide.

 </Tip>

--- a/docs/source/en/api/loaders/lora.md
+++ b/docs/source/en/api/loaders/lora.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/loaders/peft.md
+++ b/docs/source/en/api/loaders/peft.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/loaders/single_file.md
+++ b/docs/source/en/api/loaders/single_file.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/loaders/textual_inversion.md
+++ b/docs/source/en/api/loaders/textual_inversion.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/loaders/unet.md
+++ b/docs/source/en/api/loaders/unet.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/logging.md
+++ b/docs/source/en/api/logging.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/models/asymmetricautoencoderkl.md
+++ b/docs/source/en/api/models/asymmetricautoencoderkl.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/models/autoencoder_tiny.md
+++ b/docs/source/en/api/models/autoencoder_tiny.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/models/autoencoderkl.md
+++ b/docs/source/en/api/models/autoencoderkl.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/models/controlnet.md
+++ b/docs/source/en/api/models/controlnet.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/models/overview.md
+++ b/docs/source/en/api/models/overview.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/models/prior_transformer.md
+++ b/docs/source/en/api/models/prior_transformer.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/models/transformer2d.md
+++ b/docs/source/en/api/models/transformer2d.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/models/transformer_temporal.md
+++ b/docs/source/en/api/models/transformer_temporal.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/models/unet-motion.md
+++ b/docs/source/en/api/models/unet-motion.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/models/unet.md
+++ b/docs/source/en/api/models/unet.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/models/unet2d-cond.md
+++ b/docs/source/en/api/models/unet2d-cond.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/models/unet2d.md
+++ b/docs/source/en/api/models/unet2d.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/models/unet3d-cond.md
+++ b/docs/source/en/api/models/unet3d-cond.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/models/vq.md
+++ b/docs/source/en/api/models/vq.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/normalization.md
+++ b/docs/source/en/api/normalization.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/outputs.md
+++ b/docs/source/en/api/outputs.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/amused.md
+++ b/docs/source/en/api/pipelines/amused.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/animatediff.md
+++ b/docs/source/en/api/pipelines/animatediff.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/attend_and_excite.md
+++ b/docs/source/en/api/pipelines/attend_and_excite.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/audioldm.md
+++ b/docs/source/en/api/pipelines/audioldm.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/audioldm2.md
+++ b/docs/source/en/api/pipelines/audioldm2.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/auto_pipeline.md
+++ b/docs/source/en/api/pipelines/auto_pipeline.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/blip_diffusion.md
+++ b/docs/source/en/api/pipelines/blip_diffusion.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/consistency_models.md
+++ b/docs/source/en/api/pipelines/consistency_models.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/controlnet.md
+++ b/docs/source/en/api/pipelines/controlnet.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/controlnet_sdxl.md
+++ b/docs/source/en/api/pipelines/controlnet_sdxl.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/dance_diffusion.md
+++ b/docs/source/en/api/pipelines/dance_diffusion.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/ddim.md
+++ b/docs/source/en/api/pipelines/ddim.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/ddpm.md
+++ b/docs/source/en/api/pipelines/ddpm.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/deepfloyd_if.md
+++ b/docs/source/en/api/pipelines/deepfloyd_if.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/diffedit.md
+++ b/docs/source/en/api/pipelines/diffedit.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/dit.md
+++ b/docs/source/en/api/pipelines/dit.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/i2vgenxl.md
+++ b/docs/source/en/api/pipelines/i2vgenxl.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/kandinsky.md
+++ b/docs/source/en/api/pipelines/kandinsky.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/kandinsky3.md
+++ b/docs/source/en/api/pipelines/kandinsky3.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/kandinsky_v22.md
+++ b/docs/source/en/api/pipelines/kandinsky_v22.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/latent_consistency_models.md
+++ b/docs/source/en/api/pipelines/latent_consistency_models.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/latent_diffusion.md
+++ b/docs/source/en/api/pipelines/latent_diffusion.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/musicldm.md
+++ b/docs/source/en/api/pipelines/musicldm.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/overview.md
+++ b/docs/source/en/api/pipelines/overview.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/paint_by_example.md
+++ b/docs/source/en/api/pipelines/paint_by_example.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/panorama.md
+++ b/docs/source/en/api/pipelines/panorama.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/pia.md
+++ b/docs/source/en/api/pipelines/pia.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/pix2pix.md
+++ b/docs/source/en/api/pipelines/pix2pix.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/pixart.md
+++ b/docs/source/en/api/pipelines/pixart.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/self_attention_guidance.md
+++ b/docs/source/en/api/pipelines/self_attention_guidance.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/semantic_stable_diffusion.md
+++ b/docs/source/en/api/pipelines/semantic_stable_diffusion.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/shap_e.md
+++ b/docs/source/en/api/pipelines/shap_e.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/stable_diffusion/adapter.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/adapter.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/stable_diffusion/depth2img.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/depth2img.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/stable_diffusion/gligen.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/gligen.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The GLIGEN Authors and The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The GLIGEN Authors and The 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
--- a/docs/source/en/api/pipelines/stable_diffusion/image_variation.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/image_variation.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/stable_diffusion/img2img.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/img2img.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/stable_diffusion/inpaint.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/inpaint.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/stable_diffusion/k_diffusion.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/k_diffusion.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/stable_diffusion/latent_upscale.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/latent_upscale.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/stable_diffusion/ldm3d_diffusion.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/ldm3d_diffusion.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The Intel Labs Team Authors and HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The Intel Labs Team 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
--- a/docs/source/en/api/pipelines/stable_diffusion/overview.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/overview.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/stable_diffusion/sdxl_turbo.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/sdxl_turbo.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_2.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_2.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_safe.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_safe.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_xl.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_xl.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/stable_diffusion/svd.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/svd.md
@@ -0,0 +1,43 @@
+<!--Copyright 2024 The 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.
+-->
+
+# Stable Video Diffusion
+
+Stable Video Diffusion was proposed in [Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets](https://hf.co/papers/2311.15127) by Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, Varun Jampani, Robin Rombach.
+
+The abstract from the paper is:
+
+*We present Stable Video Diffusion - a latent video diffusion model for high-resolution, state-of-the-art text-to-video and image-to-video generation. Recently, latent diffusion models trained for 2D image synthesis have been turned into generative video models by inserting temporal layers and finetuning them on small, high-quality video datasets. However, training methods in the literature vary widely, and the field has yet to agree on a unified strategy for curating video data. In this paper, we identify and evaluate three different stages for successful training of video LDMs: text-to-image pretraining, video pretraining, and high-quality video finetuning. Furthermore, we demonstrate the necessity of a well-curated pretraining dataset for generating high-quality videos and present a systematic curation process to train a strong base model, including captioning and filtering strategies. We then explore the impact of finetuning our base model on high-quality data and train a text-to-video model that is competitive with closed-source video generation. We also show that our base model provides a powerful motion representation for downstream tasks such as image-to-video generation and adaptability to camera motion-specific LoRA modules. Finally, we demonstrate that our model provides a strong multi-view 3D-prior and can serve as a base to finetune a multi-view diffusion model that jointly generates multiple views of objects in a feedforward fashion, outperforming image-based methods at a fraction of their compute budget. We release code and model weights at this https URL.*
+
+<Tip>
+
+To learn how to use Stable Video Diffusion, take a look at the [Stable Video Diffusion](../../../using-diffusers/svd) guide.
+
+<br>
+
+Check out the [Stability AI](https://huggingface.co/stabilityai) Hub organization for the [base](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid) and [extended frame](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt) checkpoints!
+
+</Tip>
+
+## Tips
+
+Video generation is memory-intensive and one way to reduce your memory usage is to set `enable_forward_chunking` on the pipeline's UNet so you don't run the entire feedforward layer at once. Breaking it up into chunks in a loop is more efficient.
+
+Check out the [Text or image-to-video](text-img2vid) guide for more details about how certain parameters can affect video generation and how to optimize inference by reducing memory usage.
+
+## StableVideoDiffusionPipeline
+
+[[autodoc]] StableVideoDiffusionPipeline
+
+## StableVideoDiffusionPipelineOutput
+
+[[autodoc]] pipelines.stable_video_diffusion.StableVideoDiffusionPipelineOutput
--- a/docs/source/en/api/pipelines/stable_diffusion/text2img.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/text2img.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/stable_diffusion/upscale.md
+++ b/docs/source/en/api/pipelines/stable_diffusion/upscale.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/stable_unclip.md
+++ b/docs/source/en/api/pipelines/stable_unclip.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/text_to_video.md
+++ b/docs/source/en/api/pipelines/text_to_video.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
@@ -167,6 +167,12 @@ Here are some sample outputs:
    </tr>
 </table>

+## Tips
+
+Video generation is memory-intensive and one way to reduce your memory usage is to set `enable_forward_chunking` on the pipeline's UNet so you don't run the entire feedforward layer at once. Breaking it up into chunks in a loop is more efficient.
+
+Check out the [Text or image-to-video](text-img2vid) guide for more details about how certain parameters can affect video generation and how to optimize inference by reducing memory usage.
+
 <Tip>

 Make sure to check out the Schedulers [guide](../../using-diffusers/schedulers) to learn how to explore the tradeoff between scheduler speed and quality, and see the [reuse components across pipelines](../../using-diffusers/loading#reuse-components-across-pipelines) section to learn how to efficiently load the same components into multiple pipelines.
--- a/docs/source/en/api/pipelines/text_to_video_zero.md
+++ b/docs/source/en/api/pipelines/text_to_video_zero.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/unclip.md
+++ b/docs/source/en/api/pipelines/unclip.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/unidiffuser.md
+++ b/docs/source/en/api/pipelines/unidiffuser.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/value_guided_sampling.md
+++ b/docs/source/en/api/pipelines/value_guided_sampling.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/pipelines/wuerstchen.md
+++ b/docs/source/en/api/pipelines/wuerstchen.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/schedulers/cm_stochastic_iterative.md
+++ b/docs/source/en/api/schedulers/cm_stochastic_iterative.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/schedulers/ddim.md
+++ b/docs/source/en/api/schedulers/ddim.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/schedulers/ddim_inverse.md
+++ b/docs/source/en/api/schedulers/ddim_inverse.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/schedulers/ddpm.md
+++ b/docs/source/en/api/schedulers/ddpm.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/docs/source/en/api/schedulers/deis.md
+++ b/docs/source/en/api/schedulers/deis.md
@@ -1,4 +1,4 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
+<!--Copyright 2024 The 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
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Dhruv Nair	327243fd95	update	2024-02-19 14:39:46 +00:00
Dhruv Nair	d2fc5ebb95	[Refactor] FreeInit for AnimateDiff based pipelines (#6874 ) * update * update * update * update * update * update * update * update * update * update	2024-02-19 11:11:42 +05:30
YiYi Xu	779eef95b4	[from_single_file] pass `torch_dtype` to `set_module_tensor_to_device` (#6994 ) fix Co-authored-by: yiyixuxu <yixu310@gmail,com>	2024-02-19 10:09:19 +05:30
Dhruv Nair	d5b8d1ca04	Fix Pixart Slow Tests (#6962 ) * update * update	2024-02-19 09:50:18 +05:30
Fabio Rigano	eba7e7a6d7	IP-Adapter attention masking (#6847 ) * Add attention masking to attn processors * Update tensor conversion --------- Co-authored-by: YiYi Xu <yixu310@gmail.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2024-02-18 18:06:14 -10:00
Sayak Paul	31de879fb4	[IP2P] Make text encoder truly optional in InstructPi2Pix (#6995 ) * make text encoder component truly optional. * more fixes * Apply suggestions from code review Co-authored-by: YiYi Xu <yixu310@gmail.com> --------- Co-authored-by: YiYi Xu <yixu310@gmail.com>	2024-02-18 20:21:22 +05:30
nbpppp	07349c25fe	Fix deprecation warning for torch.utils._pytree._register_pytree_node in PyTorch 2.2 (#7008 ) Fixed deprecation warning for torch.utils._pytree._register_pytree_node in PyTorch 2.2 Co-authored-by: Yinghua <yzho0423@uni.sydney.edu.au>	2024-02-18 20:11:33 +05:30
YiYi Xu	8974c50bff	[SVD] fix a bug when passing image as tensor (#6999 ) * fix * update docstring --------- Co-authored-by: yiyixuxu <yixu310@gmail,com>	2024-02-17 23:10:31 -10:00
Mikhail Koltakov	c18058b405	Fixed typos in dosctrings of __init__() and in forward() of Unet3DConditionModel (#6663 ) * Fixed typos in __init__ and in forward of Unet3DConditionModel * Resolving conflicts --------- Co-authored-by: YiYi Xu <yixu310@gmail.com>	2024-02-17 21:56:16 -10:00
Thomas Lips	2938d5a672	Add documentation for `strength` parameter in `Controlnet_img2img` pipelines (#6951 ) copy docstring for `strength` from stablediffusion img2img pipeline to controlnet img2img pipelines	2024-02-17 21:47:02 -10:00
Sayak Paul	d4ade821cd	start depcrecation cycle for lora_attention_proc 👋 (#7007 )	2024-02-18 13:11:30 +05:30
Steven Liu	3a7e481611	[docs] Video generation (#6701 ) * first draft * fix path * fix path * i2vgen-xl * review * modelscopet2v * feedback	2024-02-16 16:35:37 -08:00
Steven Liu	d649d6c6f3	[docs] Fix callout (#6998 ) Update ip_adapter.md	2024-02-16 10:37:12 -10:00
Bhavay Malhotra	777063e1bf	Update textual_inversion.py (#6952 ) * Update textual_inversion.py * Apply suggestions from code review * Update textual_inversion.py * Update textual_inversion.py * Update textual_inversion.py * Update textual_inversion.py * Update examples/textual_inversion/textual_inversion.py Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * Update textual_inversion.py * styling --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2024-02-16 15:39:51 +05:30
Stephen	104afbce84	Standardize model card for textual inversion sdxl (#6963 ) * standardize model card * fix tags * correct import styling and update tags * run make style and make quality --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2024-02-16 14:27:11 +05:30
co63oc	c0f5346a20	Fix procecss process (#6591 ) * Fix words * Fix --------- Co-authored-by: YiYi Xu <yixu310@gmail.com>	2024-02-15 19:06:33 -10:00
Sayak Paul	087daee2f0	add: peft to the benchmark workflow (#6989 )	2024-02-16 09:29:10 +05:30
Paakhhi	7e164d98a8	Fix diffusers import prompt2prompt (#6927 ) * Bugfix: correct import for diffusers * Fix: Prompt2Prompt example * Format style --------- Co-authored-by: YiYi Xu <yixu310@gmail.com>	2024-02-15 15:30:16 -10:00
Sayak Paul	e6d1728e0a	[IP Adapters] feat: allow low_cpu_mem_usage in ip adapter loading (#6946 ) * feat: allow low_cpu_mem_usage in ip adapter loading * reduce the number of device placements. * documentation. * throw low_cpu_mem_usage warning only once from the main entry point.	2024-02-15 15:37:17 +05:30
Linoy Tsaban	8f2c7b4df0	[advanced sdxl lora script] - fix #6967 bug when using prior preservation loss (#6968 ) * fix bug in micro-conditioning of class images * fix bug in micro-conditioning of class images * style	2024-02-15 12:20:05 +05:30
YiYi Xu	2e387dad5f	fix IPAdapter unload_ip_adapter test (#6972 ) add Co-authored-by: yiyixuxu <yixu310@gmail,com>	2024-02-14 20:42:40 -10:00
Steven Liu	9efe1e52c3	[docs] IP-Adapter (#6897 ) * use cases * first draft * fix image links * lcm-lora * feedback * review * feedback * feedback	2024-02-14 13:23:37 -08:00
Sayak Paul	37b09517b9	fix: controlnet inpaint single file. (#6975 )	2024-02-14 19:04:57 +05:30
Sayak Paul	4343ce2c8e	[Core] Harmonize single file ckpt model loading (#6971 ) * use load_model_into_meta in single file utils * propagate to autoencoder and controlnet. * correct class name access behaviour. * remove torch_dtype from load_model_into_meta; seems unncessary * remove incorrect kwarg * style to avoid extra unnecessary line breaks	2024-02-14 10:49:06 +05:30
Younes Belkada	0ca7b68198	[`PEFT` / `docs`] Add a note about torch.compile (#6864 ) * Update using_peft_for_inference.md * add more explanation	2024-02-14 02:29:29 +01:00
Dhruv Nair	3cf4f9c735	Allow passing `config_file` argument to ControlNetModel when using `from_single_file` (#6959 ) * update * update * update	2024-02-13 18:54:53 +05:30
Dhruv Nair	40dd9cb2bd	Move SDXL T2I Adapter lora test into PEFT workflow (#6965 ) update	2024-02-13 17:08:53 +05:30
Dhruv Nair	30bcda7de6	Fix flaky IP Adapter test (#6960 ) update	2024-02-13 17:07:39 +05:30
YiYi Xu	9ea62d119a	[DPMSolverSinglestepScheduler] correct `get_order_list` for `solver_order=2`and `lower_order_final=True` (#6953 ) * add * change default --------- Co-authored-by: yiyixuxu <yixu310@gmail,com>	2024-02-12 22:10:33 -10:00
Dhruv Nair	a326d61118	Fix configuring VAE from single file mixin (#6950 ) * update	2024-02-12 22:10:05 -10:00
Alex Umnov	e7696e20f9	Updated lora inference instructions (#6913 ) * Updated lora inference instructions * Update examples/dreambooth/README.md Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * Update README.md * Update README.md --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2024-02-13 09:35:20 +05:30
Piyush Thakur	4b89aeffe1	[Type annotations] fixed in save_model_card (#6948 ) fixed type annotations Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2024-02-13 08:56:45 +05:30
Steven Liu	0a1daadef8	[docs] Community pipelines (#6929 ) fix	2024-02-12 10:38:13 -08:00
Sayak Paul	371f765908	[Diffusers -> Original SD conversion] fix things (#6933 ) * fix: bias loading bug * fixes for SDXL * apply changes to the conversion script to match single_file_utils.py * do transpose to match the single file loading logic.	2024-02-12 17:30:22 +05:30
Piyush Thakur	75aee39eac	[Model Card] standardize T2I Adapter Sdxl model card (#6947 ) standardize model card template t21-adapter-sdxl	2024-02-12 16:43:20 +05:30
Dhruv Nair	215e6804d3	Unpin torch versions in CI (#6945 ) * update * update * update --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2024-02-12 16:01:05 +05:30
Disty0	9254d1f39a	Pass device to enable_model_cpu_offload in maybe_free_model_hooks (#6937 )	2024-02-12 13:42:32 +05:30
Piyush Thakur	e1bdcc7af3	[Model Card] standardize T2I Sdxl Lora model card (#6944 ) * standardize model card template t2i-lora-sdxl * type annotations	2024-02-12 11:45:40 +05:30
Dhruv Nair	84905ca728	Update PixArt Alpha test module to match src module (#6943 ) update	2024-02-12 11:01:33 +05:30
Piyush Thakur	6f336650c3	[Model Card] standardize T2I Sdxl model card (#6942 ) standardize model card template t2i-sdxl	2024-02-12 10:01:20 +05:30
Piyush Thakur	06a042cd0e	[Model Card] standardize T2I Lora model card (#6940 ) standardize model card t2i-lora	2024-02-12 10:01:13 +05:30
Piyush Thakur	8772496586	[Model Card] standardize T2I model card (#6939 ) * standardize model card * fix base_model	2024-02-12 10:00:41 +05:30
dg845	35fd84be27	Replace hardcoded values in SchedulerCommonTest with properties (#5479 ) --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: YiYi Xu <yixu310@gmail.com> Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>	2024-02-10 21:34:20 -10:00
YiYi Xu	f2756253e6	Fix a bug in `AutoPipeline.from_pipe` when switching pipeline with optional components (#6820 ) * fix * add tests --------- Co-authored-by: yiyixuxu <yixu310@gmail,com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2024-02-09 21:56:52 -10:00
YiYi Xu	0071478d9e	allow attention processors to have different signatures (#6915 ) add Co-authored-by: yiyixuxu <yixu310@gmail,com>	2024-02-09 21:56:19 -10:00
Sayak Paul	7c8cab313e	post release 0.26.2 (#6885 ) * post release * style * Empty-Commit --------- Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>	2024-02-09 07:36:38 -10:00
Sayak Paul	ca9ed5e8d1	[LoRA] deprecate certain lora methods from the old backend. (#6889 ) * deprecate certain lora methods from the old backend. * uncomment necessary things. * safe remove old lora backend 👋	2024-02-09 17:14:32 +01:00
Bingxin Ke	98b6bee1a1	[Community Pipeline][Bug Fix] marigold_depth_estimation: input image value range (#6787 ) [FIX] IMPORTANT: rgb normalization	2024-02-09 16:55:37 +01:00
Dhruv Nair	ab7113487c	More IPAdapter test fixes (#6888 ) update	2024-02-09 13:54:58 +05:30
camaro	59c307f1d5	Standardize model card for Controlnet (#6910 ) * controlnet * style --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2024-02-09 12:29:08 +05:30
Sayak Paul	159885adc6	correct hub_token exposition behaviour (thanks to @bghira). (#6918 )	2024-02-08 18:38:27 -10:00
Aryan	7337eea59b	[refactor] unnecessary lines in decode_latents in video pipelines (#6682 ) * refactor decode latents in video pipelines * make fix-copies	2024-02-08 17:10:52 -10:00
camaro	f07899a57c	Standardize model card for Controlnet SDXL (#6908 ) controlnet-sdxl	2024-02-09 07:53:39 +05:30
camaro	a83cc0c0bc	Standardize model card for Controlnet flax (#6909 ) * controlnet-flax * style --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2024-02-09 07:52:56 +05:30
C Q	db5194a45d	Fix Compatibility Issues in stable_diffusion_xl_reference.py (#6251 ) * Fix Compatibility Issues in stable_diffusion_xl_reference.py --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: YiYi Xu <yixu310@gmail.com>	2024-02-08 10:52:59 -10:00
shaoxiaowang	e6c9c2513f	fix examples/community/pipeline_stable_diffusion_xl_instantid.py (#6759 ) Co-authored-by: wangshaoxiao <wangshaoxiao@xiaomi.com>	2024-02-08 10:09:40 -10:00
Kyunghwan Kim	d643b6691f	Add vae tiling and slicing in img2img and inpaint (#6871 ) * Add vae tiling in img2img and inpaint * Add vae tiling not slicing	2024-02-08 09:50:00 -10:00
Michael	f5c9be3a0a	Remove <cat-toy> validation prompt from examples/textual_inversion/textual_inversion_sdxl.py (#6877 ) Remove <cat-toy> validation prompt from textual_inversion_sdxl.py The `<cat-toy>` validation prompt is a default choice for the example task in the README. But no other part of `textual_inversion_sdxl.py` references the cat toy and `textual_inversion.py` has a default validation prompt of `None` as well. So bring `textual_inversion_sdxl.py` in line with `textual_inversion.py` and change default validation prompt to `None`	2024-02-08 09:46:06 -10:00
Laisky.Cai	1824d0050e	fix: load_image should support PIL Image (#6904 ) Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2024-02-08 08:25:37 -10:00
Sayak Paul	30e5e81d58	change to 2024 in the license (#6902 ) change to 2024	2024-02-08 08:19:31 -10:00
Masamune Ishihara	8de78001df	Add fps argument to export_to_gif function. (#6786 )	2024-02-08 21:59:51 +05:30
Patryk Bartkowiak	3ac2357794	changed positional parameters to named parameters like in docs (#6905 ) Co-authored-by: Patryk Bartkowiak <patryk.bartkowiak@tcl.com> Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>	2024-02-08 21:39:03 +05:30
Ehsan Akhgari	17808a091e	Fix bug when converting checkpoint to diffusers format (#6900 ) This fixes #6899.	2024-02-08 18:52:11 +05:30
Sayak Paul	491a933a1b	[I2VGenXL] `attention_head_dim` in the UNet (#6872 ) * attention_head_dim * debug * print more info * correct num_attention_heads behaviour * down_block_num_attention_heads -> num_attention_heads. * correct the image link in doc. * add: deprecation for num_attention_head * fix: test argument to use attention_head_dim * more fixes. * quality * address comments. * remove depcrecation.	2024-02-08 12:30:14 +05:30
Sayak Paul	aa82df52e7	[IP Adapters] introduce `ip_adapter_image_embeds` in the SD pipeline call (#6868 ) * add: support for passing ip adapter image embeddings * debugging * make feature_extractor unloading conditioned on safety_checker * better condition * type annotation * index to look into value slices * more debugging * debugging * serialize embeddings dict * better conditioning * remove unnecessary prints. * Update src/diffusers/loaders/ip_adapter.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * make fix-copies and styling. * styling and further copy fixing. * fix: check_inputs call in controlnet sdxl img2img pipeline --------- Co-authored-by: YiYi Xu <yixu310@gmail.com>	2024-02-08 11:10:10 +05:30
Srimanth Agastyaraju	a11b0f83b7	Fix: training resume from fp16 for SDXL Consistency Distillation (#6840 ) * Fix: training resume from fp16 for lcm distill lora sdxl * Fix coding quality - run linter * Fix 1 - shift mixed precision cast before optimizer * Fix 2 - State dict errors by removing load_lora_into_unet * Update train_lcm_distill_lora_sdxl.py - Revert default cache dir to None --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2024-02-08 11:09:29 +05:30
Sayak Paul	1835510524	Remove `torch_dtype` in to() to end deprecation (#6886 ) * remove torch_dtype from to() * remove torch_dtype from usage scripts. * remove old lora backend * Revert "remove old lora backend" This reverts commit `adcddf6ba4`.	2024-02-08 09:38:57 +05:30
camaro	4a3d52850b	fix: keyword argument mismatch (#6895 )	2024-02-08 09:37:56 +05:30
YiYi Xu	97d004b9b4	[ip-adapter] make sure length of `scale` is same as number of ip-adapters when using `set_ip_adapter_scale` (#6884 ) add Co-authored-by: yiyixuxu <yixu310@gmail,com>	2024-02-07 10:13:12 -10:00
Sayak Paul	76696dca55	[Model Card] standardize dreambooth model card (#6729 ) * feat: standarize model card creation for dreambooth training. * correct 'inference * remove comments. * take component out of kwargs * style * add: card template to have a leaner description. * widget support. * propagate changes to train_dreambooth_lora * propagate changes to custom diffusion * make widget properly type-annotated	2024-02-07 15:07:11 +05:30
Félix Sanz	17612de451	fix: typo in callback function name and property (#6834 ) * fix: callback function name is incorrect On this tutorial there is a function defined and then used inside `callback_on_step_end` argument, but the name was not correct (mismatch) * fix: typo in num_timestep (correct is num_timesteps) fixed property name	2024-02-06 12:05:40 -08:00
Dhruv Nair	994360f7a5	Fix last IP Adapter test (#6875 ) update	2024-02-06 08:53:40 -10:00
Dhruv Nair	e6a48db633	Refactor Deepfloyd IF tests. (#6855 ) * update * update * update	2024-02-06 16:43:17 +05:30
sayakpaul	4f1df69d1a	Revert "add attention_head_dim" This reverts commit `15f6b22466`.	2024-02-06 14:48:49 +05:30
sayakpaul	15f6b22466	add attention_head_dim	2024-02-06 14:48:07 +05:30
Sayak Paul	e6fd9ada3a	[I2vGenXL] clean up things (#6845 ) * remove _to_tensor * remove _to_tensor definition * remove _collapse_frames_into_batch * remove lora for not bloating the code. * remove sample_size. * simplify code a bit more * ensure timesteps are always in tensor.	2024-02-06 09:22:07 +05:30
Edward Li	493228a708	Fix `AutoencoderTiny` with `use_slicing` (#6850 ) * Fix `AutoencoderTiny` with `use_slicing` When using slicing with AutoencoderTiny, the encoder mistakenly encodes the entire batch for every image in the batch. * Fixed formatting issue	2024-02-05 09:18:22 -10:00
Dhruv Nair	8bf046b7fb	Add single file and IP Adapter support to PIA Pipeline (#6851 ) update	2024-02-05 16:23:18 +05:30
Dhruv Nair	bb99623d09	Update IP Adapter tests to use cosine similarity distance (#6806 ) * update * update	2024-02-05 16:22:59 +05:30