Merge branch 'main' into hidream-license

[Refactor] Minor Improvement for import utils (#11161 )
* update * update * addressed PR comments * update --------- Co-authored-by: YiYi Xu <yixu310@gmail.com>
2025-04-22 07:02:18 +05:30 · 2025-04-21 09:56:55 -10:00 · 2025-04-21 09:28:19 -10:00 · 2025-04-21 09:27:55 -10:00 · 2025-04-21 08:45:28 -10:00 · 2025-04-21 08:41:09 -10:00
1193 changed files with 13991 additions and 7143 deletions
@@ -417,7 +417,7 @@ jobs:
            additional_deps: ["peft"]
          - backend: "gguf"
            test_location: "gguf"
-            additional_deps: []
+            additional_deps: ["peft"]
          - backend: "torchao"
            test_location: "torchao"
            additional_deps: []
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -28,9 +28,9 @@ 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 uv==0.1.11 && \
    python3 -m uv pip install --no-cache-dir \
-        torch==2.1.2 \
-        torchvision==0.16.2 \
-        torchaudio==2.1.2 \
+        torch \
+        torchvision \
+        torchaudio\
        onnxruntime \
        --extra-index-url https://download.pytorch.org/whl/cpu && \
    python3 -m uv pip install --no-cache-dir \
@@ -1,5 +1,5 @@
 <!---
-Copyright 2024- The HuggingFace Team. All rights reserved.
+Copyright 2025- 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.
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -175,7 +175,7 @@
    title: gguf
  - local: quantization/torchao
    title: torchao
-  - local: quantization/quanto 
+  - local: quantization/quanto
    title: quanto
  title: Quantization Methods
 - sections:
@@ -265,19 +265,23 @@
    sections:
    - local: api/models/overview
      title: Overview
+    - local: api/models/auto_model
+      title: AutoModel
    - sections:
      - local: api/models/controlnet
        title: ControlNetModel
+      - local: api/models/controlnet_union
+        title: ControlNetUnionModel
      - local: api/models/controlnet_flux
        title: FluxControlNetModel
      - local: api/models/controlnet_hunyuandit
        title: HunyuanDiT2DControlNetModel
+      - local: api/models/controlnet_sana
+        title: SanaControlNetModel
      - local: api/models/controlnet_sd3
        title: SD3ControlNetModel
      - local: api/models/controlnet_sparsectrl
        title: SparseControlNetModel
-      - local: api/models/controlnet_union
-        title: ControlNetUnionModel
      title: ControlNets
    - sections:
      - local: api/models/allegro_transformer3d
@@ -286,30 +290,32 @@
        title: AuraFlowTransformer2DModel
      - local: api/models/cogvideox_transformer3d
        title: CogVideoXTransformer3DModel
-      - local: api/models/consisid_transformer3d
-        title: ConsisIDTransformer3DModel
      - local: api/models/cogview3plus_transformer2d
        title: CogView3PlusTransformer2DModel
      - local: api/models/cogview4_transformer2d
        title: CogView4Transformer2DModel
+      - local: api/models/consisid_transformer3d
+        title: ConsisIDTransformer3DModel
      - local: api/models/dit_transformer2d
        title: DiTTransformer2DModel
      - local: api/models/easyanimate_transformer3d
        title: EasyAnimateTransformer3DModel
      - local: api/models/flux_transformer
        title: FluxTransformer2DModel
+      - local: api/models/hidream_image_transformer
+        title: HiDreamImageTransformer2DModel
      - local: api/models/hunyuan_transformer2d
        title: HunyuanDiT2DModel
      - local: api/models/hunyuan_video_transformer_3d
        title: HunyuanVideoTransformer3DModel
      - local: api/models/latte_transformer3d
        title: LatteTransformer3DModel
-      - local: api/models/lumina_nextdit2d
-        title: LuminaNextDiT2DModel
-      - local: api/models/lumina2_transformer2d
-        title: Lumina2Transformer2DModel
      - local: api/models/ltx_video_transformer3d
        title: LTXVideoTransformer3DModel
+      - local: api/models/lumina2_transformer2d
+        title: Lumina2Transformer2DModel
+      - local: api/models/lumina_nextdit2d
+        title: LuminaNextDiT2DModel
      - local: api/models/mochi_transformer3d
        title: MochiTransformer3DModel
      - local: api/models/omnigen_transformer
@@ -318,10 +324,10 @@
        title: PixArtTransformer2DModel
      - local: api/models/prior_transformer
        title: PriorTransformer
-      - local: api/models/sd3_transformer2d
-        title: SD3Transformer2DModel
      - local: api/models/sana_transformer2d
        title: SanaTransformer2DModel
+      - local: api/models/sd3_transformer2d
+        title: SD3Transformer2DModel
      - local: api/models/stable_audio_transformer
        title: StableAudioDiTModel
      - local: api/models/transformer2d
@@ -336,10 +342,10 @@
        title: StableCascadeUNet
      - local: api/models/unet
        title: UNet1DModel
-      - local: api/models/unet2d
-        title: UNet2DModel
      - local: api/models/unet2d-cond
        title: UNet2DConditionModel
+      - local: api/models/unet2d
+        title: UNet2DModel
      - local: api/models/unet3d-cond
        title: UNet3DConditionModel
      - local: api/models/unet-motion
@@ -348,6 +354,10 @@
        title: UViT2DModel
      title: UNets
    - sections:
+      - local: api/models/asymmetricautoencoderkl
+        title: AsymmetricAutoencoderKL
+      - local: api/models/autoencoder_dc
+        title: AutoencoderDC
      - local: api/models/autoencoderkl
        title: AutoencoderKL
      - local: api/models/autoencoderkl_allegro
@@ -364,10 +374,6 @@
        title: AutoencoderKLMochi
      - local: api/models/autoencoder_kl_wan
        title: AutoencoderKLWan
-      - local: api/models/asymmetricautoencoderkl
-        title: AsymmetricAutoencoderKL
-      - local: api/models/autoencoder_dc
-        title: AutoencoderDC
      - local: api/models/consistency_decoder_vae
        title: ConsistencyDecoderVAE
      - local: api/models/autoencoder_oobleck
@@ -420,6 +426,8 @@
      title: ControlNet with Stable Diffusion 3
    - local: api/pipelines/controlnet_sdxl
      title: ControlNet with Stable Diffusion XL
+    - local: api/pipelines/controlnet_sana
+      title: ControlNet-Sana
    - local: api/pipelines/controlnetxs
      title: ControlNet-XS
    - local: api/pipelines/controlnetxs_sdxl
@@ -444,6 +452,8 @@
      title: Flux
    - local: api/pipelines/control_flux_inpaint
      title: FluxControlInpaint
+    - local: api/pipelines/hidream
+      title: HiDream-I1
    - local: api/pipelines/hunyuandit
      title: Hunyuan-DiT
    - local: api/pipelines/hunyuan_video
@@ -511,40 +521,40 @@
    - sections:
      - local: api/pipelines/stable_diffusion/overview
        title: Overview
-      - local: api/pipelines/stable_diffusion/text2img
-        title: Text-to-image
+      - local: api/pipelines/stable_diffusion/depth2img
+        title: Depth-to-image
+      - local: api/pipelines/stable_diffusion/gligen
+        title: GLIGEN (Grounded Language-to-Image Generation)
+      - local: api/pipelines/stable_diffusion/image_variation
+        title: Image variation
      - 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
-        title: Depth-to-image
-      - local: api/pipelines/stable_diffusion/image_variation
-        title: Image variation
+      - local: api/pipelines/stable_diffusion/k_diffusion
+        title: K-Diffusion
+      - local: api/pipelines/stable_diffusion/latent_upscale
+        title: Latent upscaler
+      - local: api/pipelines/stable_diffusion/ldm3d_diffusion
+        title: LDM3D Text-to-(RGB, Depth), Text-to-(RGB-pano, Depth-pano), LDM3D Upscaler
      - local: api/pipelines/stable_diffusion/stable_diffusion_safe
        title: Safe Stable Diffusion
+      - local: api/pipelines/stable_diffusion/sdxl_turbo
+        title: SDXL Turbo
      - local: api/pipelines/stable_diffusion/stable_diffusion_2
        title: Stable Diffusion 2
      - local: api/pipelines/stable_diffusion/stable_diffusion_3
        title: Stable Diffusion 3
      - local: api/pipelines/stable_diffusion/stable_diffusion_xl
        title: Stable Diffusion XL
-      - local: api/pipelines/stable_diffusion/sdxl_turbo
-        title: SDXL Turbo
-      - local: api/pipelines/stable_diffusion/latent_upscale
-        title: Latent upscaler
      - local: api/pipelines/stable_diffusion/upscale
        title: Super-resolution
-      - local: api/pipelines/stable_diffusion/k_diffusion
-        title: K-Diffusion
-      - local: api/pipelines/stable_diffusion/ldm3d_diffusion
-        title: LDM3D Text-to-(RGB, Depth), Text-to-(RGB-pano, Depth-pano), LDM3D Upscaler
      - local: api/pipelines/stable_diffusion/adapter
        title: T2I-Adapter
-      - local: api/pipelines/stable_diffusion/gligen
-        title: GLIGEN (Grounded Language-to-Image Generation)
+      - local: api/pipelines/stable_diffusion/text2img
+        title: Text-to-image
      title: Stable Diffusion
    - local: api/pipelines/stable_unclip
      title: Stable unCLIP
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
+<!-- Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -20,10 +20,13 @@ LoRA is a fast and lightweight training method that inserts and trains a signifi
 - [`FluxLoraLoaderMixin`] provides similar functions for [Flux](https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux).
 - [`CogVideoXLoraLoaderMixin`] provides similar functions for [CogVideoX](https://huggingface.co/docs/diffusers/main/en/api/pipelines/cogvideox).
 - [`Mochi1LoraLoaderMixin`] provides similar functions for [Mochi](https://huggingface.co/docs/diffusers/main/en/api/pipelines/mochi).
+- [`AuraFlowLoraLoaderMixin`] provides similar functions for [AuraFlow](https://huggingface.co/fal/AuraFlow).
 - [`LTXVideoLoraLoaderMixin`] provides similar functions for [LTX-Video](https://huggingface.co/docs/diffusers/main/en/api/pipelines/ltx_video).
 - [`SanaLoraLoaderMixin`] provides similar functions for [Sana](https://huggingface.co/docs/diffusers/main/en/api/pipelines/sana).
 - [`HunyuanVideoLoraLoaderMixin`] provides similar functions for [HunyuanVideo](https://huggingface.co/docs/diffusers/main/en/api/pipelines/hunyuan_video).
 - [`Lumina2LoraLoaderMixin`] provides similar functions for [Lumina2](https://huggingface.co/docs/diffusers/main/en/api/pipelines/lumina2).
+- [`WanLoraLoaderMixin`] provides similar functions for [Wan](https://huggingface.co/docs/diffusers/main/en/api/pipelines/wan).
+- [`CogView4LoraLoaderMixin`] provides similar functions for [CogView4](https://huggingface.co/docs/diffusers/main/en/api/pipelines/cogview4).
 - [`AmusedLoraLoaderMixin`] is for the [`AmusedPipeline`].
 - [`LoraBaseMixin`] provides a base class with several utility methods to fuse, unfuse, unload, LoRAs and more.

@@ -56,6 +59,9 @@ To learn more about how to load LoRA weights, see the [LoRA](../../using-diffuse
 ## Mochi1LoraLoaderMixin

 [[autodoc]] loaders.lora_pipeline.Mochi1LoraLoaderMixin
+## AuraFlowLoraLoaderMixin
+
+[[autodoc]] loaders.lora_pipeline.AuraFlowLoraLoaderMixin

 ## LTXVideoLoraLoaderMixin

@@ -73,6 +79,14 @@ To learn more about how to load LoRA weights, see the [LoRA](../../using-diffuse

 [[autodoc]] loaders.lora_pipeline.Lumina2LoraLoaderMixin

+## CogView4LoraLoaderMixin
+
+[[autodoc]] loaders.lora_pipeline.CogView4LoraLoaderMixin
+
+## WanLoraLoaderMixin
+
+[[autodoc]] loaders.lora_pipeline.WanLoraLoaderMixin
+
 ## AmusedLoraLoaderMixin

 [[autodoc]] loaders.lora_pipeline.AmusedLoraLoaderMixin
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
+<!-- Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -0,0 +1,29 @@
+<!--Copyright 2025 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.
+-->
+
+# AutoModel
+
+The `AutoModel` is designed to make it easy to load a checkpoint without needing to know the specific model class. `AutoModel` automatically retrieves the correct model class from the checkpoint `config.json` file.
+
+```python
+from diffusers import AutoModel, AutoPipelineForText2Image
+
+unet = AutoModel.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", subfolder="unet")
+pipe = AutoPipelineForText2Image.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", unet=unet)
+```
+
+
+## AutoModel
+
+[[autodoc]] AutoModel
+	- all
+	- from_pretrained
@@ -1,4 +1,4 @@
-<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
+<!-- Copyright 2025 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
@@ -1,4 +1,4 @@
-<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
+<!-- Copyright 2025 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
@@ -1,4 +1,4 @@
-<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
+<!-- Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
+<!-- Copyright 2025 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
@@ -18,7 +18,7 @@ The model can be loaded with the following code snippet.
 ```python
 from diffusers import AutoencoderKLAllegro

-vae = AutoencoderKLCogVideoX.from_pretrained("rhymes-ai/Allegro", subfolder="vae", torch_dtype=torch.float32).to("cuda")
+vae = AutoencoderKLAllegro.from_pretrained("rhymes-ai/Allegro", subfolder="vae", torch_dtype=torch.float32).to("cuda")
 ```

 ## AutoencoderKLAllegro
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
+<!-- Copyright 2025 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
@@ -1,4 +1,4 @@
-<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
+<!-- Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team and The InstantX Team. All rights reserved.
+<!--Copyright 2025 The HuggingFace Team and The InstantX 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team and Tencent Hunyuan Team. All rights reserved.
+<!--Copyright 2025 The HuggingFace Team and Tencent Hunyuan 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
@@ -0,0 +1,29 @@
+<!--Copyright 2025 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.
+-->
+
+# SanaControlNetModel
+
+The ControlNet model was introduced in [Adding Conditional Control to Text-to-Image Diffusion Models](https://huggingface.co/papers/2302.05543) by Lvmin Zhang, Anyi Rao, Maneesh Agrawala. It provides a greater degree of control over text-to-image generation by conditioning the model on additional inputs such as edge maps, depth maps, segmentation maps, and keypoints for pose detection.
+
+The abstract from the paper is:
+
+*We present ControlNet, a neural network architecture to add spatial conditioning controls to large, pretrained text-to-image diffusion models. ControlNet locks the production-ready large diffusion models, and reuses their deep and robust encoding layers pretrained with billions of images as a strong backbone to learn a diverse set of conditional controls. The neural architecture is connected with "zero convolutions" (zero-initialized convolution layers) that progressively grow the parameters from zero and ensure that no harmful noise could affect the finetuning. We test various conditioning controls, eg, edges, depth, segmentation, human pose, etc, with Stable Diffusion, using single or multiple conditions, with or without prompts. We show that the training of ControlNets is robust with small (<50k) and large (>1m) datasets. Extensive results show that ControlNet may facilitate wider applications to control image diffusion models.*
+
+This model was contributed by [ishan24](https://huggingface.co/ishan24). ❤️
+The original codebase can be found at [NVlabs/Sana](https://github.com/NVlabs/Sana), and you can find official ControlNet checkpoints on [Efficient-Large-Model's](https://huggingface.co/Efficient-Large-Model) Hub profile.
+
+## SanaControlNetModel
+[[autodoc]] SanaControlNetModel
+
+## SanaControlNetOutput
+[[autodoc]] models.controlnets.controlnet_sana.SanaControlNetOutput
+
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team and The InstantX Team. All rights reserved.
+<!--Copyright 2025 The HuggingFace Team and The InstantX 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
@@ -1,4 +1,4 @@
-<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
+<!-- Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team and The InstantX Team. All rights reserved.
+<!--Copyright 2025 The HuggingFace Team and The InstantX 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -0,0 +1,30 @@
+<!-- Copyright 2025 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. -->
+
+# HiDreamImageTransformer2DModel
+
+A Transformer model for image-like data from [HiDream-I1](https://huggingface.co/HiDream-ai).
+
+The model can be loaded with the following code snippet.
+
+```python
+from diffusers import HiDreamImageTransformer2DModel
+
+transformer = HiDreamImageTransformer2DModel.from_pretrained("HiDream-ai/HiDream-I1-Full", subfolder="transformer", torch_dtype=torch.bfloat16)
+```
+
+## HiDreamImageTransformer2DModel
+
+[[autodoc]] HiDreamImageTransformer2DModel
+
+## Transformer2DModelOutput
+
+[[autodoc]] models.modeling_outputs.Transformer2DModelOutput
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
+<!-- Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
+<!-- Copyright 2025 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
@@ -1,4 +1,4 @@
-<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
+<!-- Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
+<!-- Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
+<!-- Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
+<!-- Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
+<!-- Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -89,6 +89,23 @@ image = pipeline(prompt).images[0]
 image.save("auraflow.png")
 ```

+## Support for `torch.compile()`
+
+AuraFlow can be compiled with `torch.compile()` to speed up inference latency even for different resolutions. First, install PyTorch nightly following the instructions from [here](https://pytorch.org/). The snippet below shows the changes needed to enable this:
+
+```diff
+ torch.fx.experimental._config.use_duck_shape = False
+ pipeline.transformer = torch.compile(
+    pipeline.transformer, fullgraph=True, dynamic=True
+)
+```
+
+Specifying `use_duck_shape` to be `False` instructs the compiler if it should use the same symbolic variable to represent input sizes that are the same. For more details, check out [this comment](https://github.com/huggingface/diffusers/pull/11327#discussion_r2047659790).
+
+This enables from 100% (on low resolutions) to a 30% (on 1536x1536 resolution) speed improvements.
+
+Thanks to [AstraliteHeart](https://github.com/huggingface/diffusers/pull/11297/) who helped us rewrite the [`AuraFlowTransformer2DModel`] class so that the above works for different resolutions ([PR](https://github.com/huggingface/diffusers/pull/11297/)).
+
 ## AuraFlowPipeline

 [[autodoc]] AuraFlowPipeline
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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.
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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.
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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.
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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.
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team, The Black Forest Team. All rights reserved.
+<!--Copyright 2025 The HuggingFace Team, The Black Forest 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team, The InstantX Team, and the XLabs Team. All rights reserved.
+<!--Copyright 2025 The HuggingFace Team, The InstantX Team, and the XLabs 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team and Tencent Hunyuan Team. All rights reserved.
+<!--Copyright 2025 The HuggingFace Team and Tencent Hunyuan 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
@@ -0,0 +1,36 @@
+<!--Copyright 2025 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.
+-->
+
+# ControlNet
+
+<div class="flex flex-wrap space-x-1">
+  <img alt="LoRA" src="https://img.shields.io/badge/LoRA-d8b4fe?style=flat"/>
+</div>
+
+ControlNet was introduced in [Adding Conditional Control to Text-to-Image Diffusion Models](https://huggingface.co/papers/2302.05543) by Lvmin Zhang, Anyi Rao, and Maneesh Agrawala.
+
+With a ControlNet model, you can provide an additional control image to condition and control Stable Diffusion generation. For example, if you provide a depth map, the ControlNet model generates an image that'll preserve the spatial information from the depth map. It is a more flexible and accurate way to control the image generation process.
+
+The abstract from the paper is:
+
+*We present ControlNet, a neural network architecture to add spatial conditioning controls to large, pretrained text-to-image diffusion models. ControlNet locks the production-ready large diffusion models, and reuses their deep and robust encoding layers pretrained with billions of images as a strong backbone to learn a diverse set of conditional controls. The neural architecture is connected with "zero convolutions" (zero-initialized convolution layers) that progressively grow the parameters from zero and ensure that no harmful noise could affect the finetuning. We test various conditioning controls, eg, edges, depth, segmentation, human pose, etc, with Stable Diffusion, using single or multiple conditions, with or without prompts. We show that the training of ControlNets is robust with small (<50k) and large (>1m) datasets. Extensive results show that ControlNet may facilitate wider applications to control image diffusion models.*
+
+This pipeline was contributed by [ishan24](https://huggingface.co/ishan24). ❤️
+The original codebase can be found at [NVlabs/Sana](https://github.com/NVlabs/Sana), and you can find official ControlNet checkpoints on [Efficient-Large-Model's](https://huggingface.co/Efficient-Large-Model) Hub profile.
+
+## SanaControlNetPipeline
+[[autodoc]] SanaControlNetPipeline
+	- all
+	- __call__
+
+## SanaPipelineOutput
+[[autodoc]] pipelines.sana.pipeline_output.SanaPipelineOutput
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
@@ -1,4 +1,4 @@
-<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+<!--Copyright 2025 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
Aryan	a50b0bd66d	Merge branch 'main' into hidream-license	2025-04-22 07:02:18 +05:30
Ishan Modi	f59df3bb8b	[Refactor] Minor Improvement for import utils (#11161 ) * update * update * addressed PR comments * update --------- Co-authored-by: YiYi Xu <yixu310@gmail.com>	2025-04-21 09:56:55 -10:00
josephrocca	a00c73a5e1	Support different-length pos/neg prompts for FLUX.1-schnell variants like Chroma (#11120 ) Co-authored-by: YiYi Xu <yixu310@gmail.com>	2025-04-21 09:28:19 -10:00
OleehyO	0434db9a99	[cogview4][feat] Support attention mechanism with variable-length support and batch packing (#11349 ) * [cogview4] Enhance attention mechanism with variable-length support and batch packing --------- Co-authored-by: YiYi Xu <yixu310@gmail.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2025-04-21 09:27:55 -10:00
Aamir Nazir	aff574fb29	Add Serialized Type Name kwarg in Model Output (#10502 ) * Update outputs.py	2025-04-21 08:45:28 -10:00
Ishan Modi	79ea8eb258	[BUG] fixes in kadinsky pipeline (#11080 ) * bug fix kadinsky pipeline	2025-04-21 08:41:09 -10:00
Aryan	e7f3a73786	Fix Wan I2V prepare_latents dtype (#11371 ) update	2025-04-21 08:18:50 -10:00
PromeAI	7a4a126db8	fix issue that training flux controlnet was unstable and validation r… (#11373 ) * fix issue that training flux controlnet was unstable and validation results were unstable * del unused code pieces, fix grammar --------- Co-authored-by: Your Name <you@example.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2025-04-21 08:16:05 -10:00
Kenneth Gerald Hamilton	0dec414d5b	[train_dreambooth_lora_sdxl.py] Fix the LR Schedulers when num_train_epochs is passed in a distributed training env (#11240 ) Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>	2025-04-21 12:51:03 +05:30
Linoy Tsaban	44eeba07b2	[Flux LoRAs] fix lr scheduler bug in distributed scenarios (#11242 ) * add fix * add fix * Apply style fixes --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2025-04-21 10:08:45 +03:00
YiYi Xu	5873377a66	[Wan2.1-FLF2V] update conversion script (#11365 ) update scheuler config in conversion sript	2025-04-18 14:08:44 -10:00
YiYi Xu	5a2e0f715c	update output for Hidream transformer (#11366 ) up	2025-04-18 14:07:21 -10:00
Kazuki Yoda	ef47726e2d	Fix: `StableDiffusionXLControlNetAdapterInpaintPipeline` incorrectly inherited `StableDiffusionLoraLoaderMixin` (#11357 ) Fix: Inherit `StableDiffusionXLLoraLoaderMixin` `StableDiffusionXLControlNetAdapterInpaintPipeline` used to incorrectly inherit `StableDiffusionLoraLoaderMixin` instead of `StableDiffusionXLLoraLoaderMixin`	2025-04-18 12:46:06 -10:00
YiYi Xu	0021bfa1e1	support Wan-FLF2V (#11353 ) * update transformer --------- Co-authored-by: Aryan <aryan@huggingface.co>	2025-04-18 10:27:50 -10:00
Aryan	530fe0722d	update license year	2025-04-18 13:29:31 +02:00
Aryan	8dbc4504f3	add license	2025-04-18 06:55:21 +02:00
Marc Sun	bbd0c161b5	[BNB] Fix test_moving_to_cpu_throws_warning (#11356 ) fix Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2025-04-18 09:44:51 +05:30
Yao Matrix	eef3d65954	enable 2 test cases on XPU (#11332 ) * enable 2 test cases on XPU Signed-off-by: YAO Matrix <matrix.yao@intel.com> * Apply style fixes --------- Signed-off-by: YAO Matrix <matrix.yao@intel.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>	2025-04-17 13:27:41 -10:00
Frank (Haofan) Wang	ee6ad51d96	Update controlnet_flux.py (#11350 )	2025-04-17 10:05:01 -10:00
Sayak Paul	4397f59a37	[bitsandbytes] improve dtype mismatch handling for bnb + lora. (#11270 ) * improve dtype mismatch handling for bnb + lora. * add a test * fix and updates * update	2025-04-17 19:51:49 +05:30
YiYi Xu	056793295c	[Hi Dream] follow-up (#11296 ) * add	2025-04-17 01:17:44 -10:00
Sayak Paul	29d2afbfe2	[LoRA] Propagate `hotswap` better (#11333 ) * propagate hotswap to other load_lora_weights() methods. * simplify documentations. * updates * propagate to load_lora_into_text_encoder. * empty commit	2025-04-17 10:35:38 +05:30
Sayak Paul	b00a564dac	[docs] add note about use_duck_shape in auraflow docs. (#11348 ) add note about use_duck_shape in auraflow docs.	2025-04-17 10:25:39 +05:30
Sayak Paul	efc9d68b15	[chore] fix lora docs utils (#11338 ) fix lora docs utils	2025-04-17 09:25:53 +05:30
nPeppon	3e59d531d1	Fix wrong dtype argument name as torch_dtype (#11346 )	2025-04-16 16:00:25 -04:00
Ishan Modi	d63e6fccb1	[BUG] fixed _toctree.yml alphabetical ordering (#11277 ) update	2025-04-16 09:04:22 -07:00
Dhruv Nair	59f1b7b1c8	Hunyuan I2V fast tests fix (#11341 ) * update * update	2025-04-16 18:40:33 +05:30
Sayak Paul	ce1063acfa	[docs] add a snippet for compilation in the auraflow docs. (#11327 ) * add a snippet for compilation in the auraflow docs. * include speedups.	2025-04-16 11:12:09 +05:30
Sayak Paul	7212f35de2	[single file] enable telemetry for single file loading when using GGUF. (#11284 ) * enable telemetry for single file loading when using GGUF. * quality	2025-04-16 08:33:52 +05:30
Sayak Paul	3252d7ad11	unpin torch versions for onnx Dockerfile (#11290 ) unpin torch versions for onnx	2025-04-16 08:16:38 +05:30
Dhruv Nair	b316104ddd	Fix Hunyuan I2V for `transformers>4.47.1` (#11293 ) * update * update	2025-04-16 07:53:32 +05:30
Álvaro Somoza	d3b2699a7f	another fix for FlowMatchLCMScheduler forgotten import (#11330 ) fix	2025-04-15 13:53:16 -10:00
Sayak Paul	4b868f14c1	post release 0.33.0 (#11255 ) * post release * update * fix deprecations * remaining * update --------- Co-authored-by: YiYi Xu <yixu310@gmail.com>	2025-04-15 06:50:08 -10:00
AstraliteHeart	b6156aafe9	Rewrite AuraFlowPatchEmbed.pe_selection_index_based_on_dim to be torch.compile compatible (#11297 ) * Update pe_selection_index_based_on_dim * Make pe_selection_index_based_on_dim work with torh.compile * Fix AuraFlowTransformer2DModel's dpcstring default values --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2025-04-15 19:30:30 +05:30
Sayak Paul	7ecfe29160	[docs] fix hidream docstrings. (#11325 ) * fix hidream docstrings. * fix * empty commit	2025-04-15 16:26:21 +05:30
Yao Matrix	7edace9a05	fix CPU offloading related fail cases on XPU (#11288 ) * fix CPU offloading related fail cases on XPU Signed-off-by: YAO Matrix <matrix.yao@intel.com> * fix style Signed-off-by: YAO Matrix <matrix.yao@intel.com> * Apply style fixes * trigger tests * test_pipe_same_device_id_offload --------- Signed-off-by: YAO Matrix <matrix.yao@intel.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: hlky <hlky@hlky.ac>	2025-04-15 09:06:56 +01:00
hlky	6e80d240d3	Fix vae.Decoder prev_output_channel (#11280 )	2025-04-15 08:03:50 +01:00
Hameer Abbasi	9352a5ca56	[LoRA] Add LoRA support to AuraFlow (#10216 ) * Add AuraFlowLoraLoaderMixin * Add comments, remove qkv fusion * Add Tests * Add AuraFlowLoraLoaderMixin to documentation * Add Suggested changes * Change attention_kwargs->joint_attention_kwargs * Rebasing derp. * fix * fix * Quality fixes. * make style * `make fix-copies` * `ruff check --fix` * Attept 1 to fix tests. * Attept 2 to fix tests. * Attept 3 to fix tests. * Address review comments. * Rebasing derp. * Get more tests passing by copying from Flux. Address review comments. * `joint_attention_kwargs`->`attention_kwargs` * Add `lora_scale` property for te LoRAs. * Make test better. * Remove useless property. * Skip TE-only tests for AuraFlow. * Support LoRA for non-CLIP TEs. * Restore LoRA tests. * Undo adding LoRA support for non-CLIP TEs. * Undo support for TE in AuraFlow LoRA. * `make fix-copies` * Sync with upstream changes. * Remove unneeded stuff. * Mirror `Lumina2`. * Skip for MPS. * Address review comments. * Remove duplicated code. * Remove unnecessary code. * Remove repeated docs. * Propagate attention. * Fix TE target modules. * MPS fix for LoRA tests. * Unrelated TE LoRA tests fix. * Fix AuraFlow LoRA tests by applying to the right denoiser layers. Co-authored-by: AstraliteHeart <81396681+AstraliteHeart@users.noreply.github.com> * Apply style fixes * empty commit * Fix the repo consistency issues. * Remove unrelated changes. * Style. * Fix `test_lora_fuse_nan`. * fix quality issues. * `pytest.xfail` -> `ValueError`. * Add back `skip_mps`. * Apply style fixes * `make fix-copies` --------- Co-authored-by: Warlord-K <warlordk28@gmail.com> Co-authored-by: hlky <hlky@hlky.ac> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: AstraliteHeart <81396681+AstraliteHeart@users.noreply.github.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2025-04-15 10:41:28 +05:30
Sayak Paul	cefa28f449	[docs] Promote `AutoModel` usage (#11300 ) * docs: promote the usage of automodel. * bitsandbytes * Apply suggestions from code review Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>	2025-04-15 09:25:40 +05:30
Beinsezii	8819cda6c0	Add `skrample` section to `community_projects.md` (#11319 ) Update community_projects.md https://github.com/huggingface/diffusers/discussions/11158#discussioncomment-12681691	2025-04-14 12:12:59 -10:00
hlky	dcf836cf47	Use float32 on mps or npu in transformer_hidream_image's rope (#11316 )	2025-04-14 20:19:21 +01:00
Álvaro Somoza	1cb73cb19f	import for FlowMatchLCMScheduler (#11318 ) * add * fix-copies	2025-04-14 06:28:57 -10:00
Linoy Tsaban	ba6008abfe	[HiDream] code example (#11317 )	2025-04-14 16:19:30 +01:00
Sayak Paul	a8f5134c11	[LoRA] support more SDXL loras. (#11292 ) * support more SDXL loras. * update --------- Co-authored-by: hlky <hlky@hlky.ac>	2025-04-14 17:09:59 +05:30
Fanli Lin	c7f2d239fe	make `KolorsPipelineFastTests::test_inference_batch_single_identical` pass on XPU (#11313 ) adjust diff	2025-04-14 11:02:02 +01:00
Yao Matrix	fa1ac50a66	make test_stable_diffusion_karras_sigmas pass on XPU (#11310 ) Signed-off-by: Matrix Yao <matrix.yao@intel.com>	2025-04-14 08:15:38 +01:00
Yao Matrix	aa541b9fab	make KandinskyV22PipelineInpaintCombinedFastTests::test_float16_inference pass on XPU (#11308 ) loose expected_max_diff from 5e-1 to 8e-1 to make KandinskyV22PipelineInpaintCombinedFastTests::test_float16_inference pass on XPU Signed-off-by: Matrix Yao <matrix.yao@intel.com>	2025-04-14 07:49:20 +01:00
Ishan Modi	f1f38ffbee	[ControlNet] Adds controlnet for SanaTransformer (#11040 ) * added controlnet for sana transformer * improve code quality * addressed PR comments * bug fixes * added test cases * update * added dummy objects * addressed PR comments * update * Forcing update * add to docs * code quality * addressed PR comments * addressed PR comments * update * addressed PR comments * added proper styling * update * Revert "added proper styling" This reverts commit `344ee8a701`. * manually ordered * Apply suggestions from code review --------- Co-authored-by: Aryan <contact.aryanvs@gmail.com>	2025-04-13 19:19:39 +05:30
Tuna Tuncer	36538e1135	Fix incorrect tile_latent_min_width calculations (#11305 )	2025-04-13 18:21:50 +05:30
Aryan	97e0ef4db4	Hidream refactoring follow ups (#11299 ) * HiDream Image * update * -einops * py3.8 * fix -einops * mixins, offload_seq, option_components * docs * Apply style fixes * trigger tests * Apply suggestions from code review Co-authored-by: Aryan <contact.aryanvs@gmail.com> * joint_attention_kwargs -> attention_kwargs, fixes * fast tests * -_init_weights * style tests * move reshape logic * update slice 😴 * supports_dduf * 🤷🏻‍♂️ * Update src/diffusers/models/transformers/transformer_hidream_image.py Co-authored-by: Aryan <contact.aryanvs@gmail.com> * address review comments * update tests * doc updates * update * Update src/diffusers/models/transformers/transformer_hidream_image.py * Apply style fixes --------- Co-authored-by: hlky <hlky@hlky.ac> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2025-04-13 09:45:19 +05:30
Adrien B	ed41db8525	Update autoencoderkl_allegro.md (#11303 ) Correction typo	2025-04-13 09:41:30 +05:30
Nikita Starodubcev	ec0b2b3947	flow matching lcm scheduler (#11170 ) * add flow matching lcm scheduler * stochastic sampling * upscaling for scale-wise generation * Apply style fixes * Apply suggestions from code review Co-authored-by: hlky <hlky@hlky.ac> --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: YiYi Xu <yixu310@gmail.com> Co-authored-by: hlky <hlky@hlky.ac>	2025-04-12 11:14:57 -10:00
hlky	0ef29355c9	HiDream Image (#11231 ) * HiDream Image --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Aryan <contact.aryanvs@gmail.com> Co-authored-by: Aryan <aryan@huggingface.co>	2025-04-11 06:31:34 -10:00
Tuna Tuncer	bc261058ee	Fix incorrect tile_latent_min_width calculation in AutoencoderKLMochi (#11294 )	2025-04-11 19:11:08 +05:30
Sayak Paul	7054a34978	do not use `DIFFUSERS_REQUEST_TIMEOUT` for notification bot (#11273 ) fix to a constant	2025-04-11 14:19:46 +05:30
Sayak Paul	511d738121	[CI] relax tolerance for unclip further (#11268 ) relax tolerance for unclip further.	2025-04-11 14:06:52 +05:30
Sayak Paul	ea5a6a8b7c	[Tests] Cleanup lora tests utils (#11276 ) * start cleaning up lora test utils for reusability * update * updates * updates	2025-04-10 15:50:34 +05:30
hlky	b8093e6665	Fix LTX 0.9.5 single file (#11271 )	2025-04-10 07:06:13 +01:00
Yuqian Hong	e121d0ef67	[BUG] Fix convert_vae_pt_to_diffusers bug (#11078 ) * fix attention * Apply style fixes --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2025-04-10 06:59:45 +01:00
Yao Matrix	31c4f24fc1	make test_instant_style_multiple_masks pass on XPU (#11266 ) Signed-off-by: Matrix Yao <matrix.yao@intel.com>	2025-04-10 06:23:00 +01:00
xieofxie	0efdf411fb	add onnxruntime-qnn & onnxruntime-cann (#11269 ) Co-authored-by: hualxie <hualxie@microsoft.com>	2025-04-10 06:00:23 +01:00
Yao Matrix	450dc48a2c	make test_dict_tuple_outputs_equivalent pass on XPU (#11265 ) Signed-off-by: Matrix Yao <matrix.yao@intel.com>	2025-04-10 05:56:28 +01:00
Yao Matrix	77b4f66b9e	make test_stable_diffusion_inpaint_fp16 pass on XPU (#11264 ) Signed-off-by: Matrix Yao <matrix.yao@intel.com>	2025-04-10 05:55:54 +01:00
Yao Matrix	68663f8a17	fix test_vanilla_funetuning failure on XPU and A100 (#11263 ) * fix test_vanilla_funetuning failure on XPU and A100 Signed-off-by: Matrix Yao <matrix.yao@intel.com> * change back to 5e-2 Signed-off-by: Matrix Yao <matrix.yao@intel.com> --------- Signed-off-by: Matrix Yao <matrix.yao@intel.com>	2025-04-10 05:55:07 +01:00
Sayak Paul	ffda8735be	[LoRA] support musubi wan loras. (#11243 ) * support musubi wan loras. * Update src/diffusers/loaders/lora_conversion_utils.py Co-authored-by: hlky <hlky@hlky.ac> * support i2v loras from musubi too. --------- Co-authored-by: hlky <hlky@hlky.ac>	2025-04-10 09:50:22 +05:30
YiYi Xu	0706786e53	fix wan ftfy import (#11262 )	2025-04-09 09:08:34 -10:00
Sayak Paul	5b27f8aba8	fix consisid imports (#11254 ) * fix consisid imports * fix opencv import * fix	2025-04-09 18:49:32 +05:30
Sayak Paul	d1387ecee5	fix timeout constant (#11252 ) * fix timeout constant * style * fix	2025-04-09 17:48:52 +05:30
Ilya Drobyshevskiy	6a7c2d0afa	fix flux controlnet bug (#11152 ) Before this if txt_ids was 3d tensor, line with txt_ids[:1] concat txt_ids by batch dim. Now we first check that txt_ids is 2d tensor (or take first batch element) and then concat by token dim	2025-04-09 13:01:07 +01:00
Dhruv Nair	edc154da09	Update Ruff to latest Version (#10919 ) * update * update * update * update	2025-04-09 16:51:34 +05:30
hlky	552cd32058	[docs] AutoModel (#11250 ) Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2025-04-09 16:42:23 +05:30
Yao Matrix	c36c745ceb	fix FluxReduxSlowTests::test_flux_redux_inference case failure on XPU (#11245 ) * loose test_float16_inference's tolerance from 5e-2 to 6e-2, so XPU can pass UT Signed-off-by: Matrix Yao <matrix.yao@intel.com> * fix test_pipeline_flux_redux fail on XPU Signed-off-by: Matrix Yao <matrix.yao@intel.com> --------- Signed-off-by: Matrix Yao <matrix.yao@intel.com>	2025-04-09 11:41:15 +01:00
hlky	437cb36c65	AutoModel (#11115 ) * AutoModel * ... * lol * ... * add test * update * make fix-copies --------- Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>	2025-04-09 15:20:07 +05:30
hlky	9ee3dd3862	AudioLDM2 Fixes (#11244 )	2025-04-09 14:12:00 +05:30
Sayak Paul	fd02aad402	fix: SD3 ControlNet validation so that it runs on a A100. (#11238 ) * fix: SD3 ControlNet validation so that it runs on a A100. * use backend-agnostic cache and pass devide.	2025-04-09 12:12:53 +05:30
Sayak Paul	6bfacf0418	[LoRA] support more comyui loras for Flux 🚨 (#10985 ) * support more comyui loras. * fix * fixes * revert changes in LoRA base. * no position_embedding * 🚨 introduce a breaking change to let peft handle module ambiguity * styling * remove position embeddings. * improvements. * style * make info instead of NotImplementedError * Update src/diffusers/loaders/peft.py Co-authored-by: hlky <hlky@hlky.ac> * add example. * robust checks * updates --------- Co-authored-by: hlky <hlky@hlky.ac>	2025-04-09 09:17:05 +05:30
Sayak Paul	f685981ed0	[docs] minor updates to dtype map docs. (#11237 ) minor updates to dtype map docs.	2025-04-09 08:38:17 +05:30
Sayak Paul	b924251dd8	minor update to sana sprint docs. (#11236 )	2025-04-09 08:17:45 +05:30
Sayak Paul	1a04812439	[bistandbytes] improve replacement warnings for bnb (#11132 ) * improve replacement warnings for bnb * updates to docs.	2025-04-08 21:18:34 +05:30
Sayak Paul	4b27c4a494	[feat] implement `record_stream` when using CUDA streams during group offloading (#11081 ) * implement record_stream for better performance. * fix * style. * merge #11097 * Update src/diffusers/hooks/group_offloading.py Co-authored-by: Aryan <aryan@huggingface.co> * fixes * docstring. * remaining todos in low_cpu_mem_usage * tests * updates to docs. --------- Co-authored-by: Aryan <aryan@huggingface.co>	2025-04-08 21:17:49 +05:30
hlky	5d49b3e83b	Flux quantized with lora (#10990 ) * Flux quantized with lora * fix * changes * Apply suggestions from code review Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * Apply style fixes * enable model cpu offload() * Update src/diffusers/loaders/lora_pipeline.py Co-authored-by: hlky <hlky@hlky.ac> * update * Apply suggestions from code review * update * add peft as an additional dependency for gguf --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>	2025-04-08 21:17:03 +05:30