Add Helios-14B Video Generation Pipelines

docs/source/en/_toctree.yml

@@ -194,6 +194,8 @@
   title: Model accelerators and hardware
 - isExpanded: false
   sections:
+  - local: using-diffusers/helios
+    title: Helios
   - local: using-diffusers/consisid
     title: ConsisID
   - local: using-diffusers/sdxl
@@ -350,6 +352,8 @@
         title: FluxTransformer2DModel
       - local: api/models/glm_image_transformer2d
         title: GlmImageTransformer2DModel
+      - local: api/models/helios_transformer3d
+        title: HeliosTransformer3DModel
       - local: api/models/hidream_image_transformer
         title: HiDreamImageTransformer2DModel
       - local: api/models/hunyuan_transformer2d
@@ -625,7 +629,6 @@
           title: Image-to-image
         - local: api/pipelines/stable_diffusion/inpaint
           title: Inpainting
-
         - local: api/pipelines/stable_diffusion/latent_upscale
           title: Latent upscaler
         - local: api/pipelines/stable_diffusion/ldm3d_diffusion
@@ -674,6 +677,8 @@
         title: ConsisID
       - local: api/pipelines/framepack
         title: Framepack
+      - local: api/pipelines/helios
+        title: Helios
       - local: api/pipelines/hunyuan_video
         title: HunyuanVideo
       - local: api/pipelines/hunyuan_video15
@@ -745,6 +750,10 @@
       title: FlowMatchEulerDiscreteScheduler
     - local: api/schedulers/flow_match_heun_discrete
       title: FlowMatchHeunDiscreteScheduler
+    - local: api/schedulers/helios_dmd
+      title: HeliosDMDScheduler
+    - local: api/schedulers/helios
+      title: HeliosScheduler
     - local: api/schedulers/heun
       title: HeunDiscreteScheduler
     - local: api/schedulers/ipndm

docs/source/en/api/loaders/lora.md

@@ -23,6 +23,7 @@ LoRA is a fast and lightweight training method that inserts and trains a signifi
 - [`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).
+- [`HeliosLoraLoaderMixin`] provides similar functions for [HunyuanVideo](https://huggingface.co/docs/diffusers/main/en/api/pipelines/helios).
 - [`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).
@@ -86,6 +87,10 @@ LoRA is a fast and lightweight training method that inserts and trains a signifi
 
 [[autodoc]] loaders.lora_pipeline.SanaLoraLoaderMixin
 
+## HeliosLoraLoaderMixin
+
+[[autodoc]] loaders.lora_pipeline.HeliosLoraLoaderMixin
+
 ## HunyuanVideoLoraLoaderMixin
 
 [[autodoc]] loaders.lora_pipeline.HunyuanVideoLoraLoaderMixin

docs/source/en/api/models/helios_transformer3d.md

@@ -0,0 +1,35 @@
+<!-- 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. -->
+
+# HeliosTransformer3DModel
+
+A 14B Real-Time Autogressive Diffusion Transformer model (support T2V, I2V and V2V) for 3D video-like data from [Helios](https://github.com/PKU-YuanGroup/Helios) was introduced in [Helios: Real Real-Time Long Video Generation Model](https://huggingface.co/papers/) by Peking University & ByteDance & etc.
+
+The model can be loaded with the following code snippet.
+
+```python
+from diffusers import HeliosTransformer3DModel
+
+# Best Quality
+transformer = HeliosTransformer3DModel.from_pretrained("BestWishYsh/Helios-Base", subfolder="transformer", torch_dtype=torch.bfloat16)
+# Intermediate Weight
+transformer = HeliosTransformer3DModel.from_pretrained("BestWishYsh/Helios-Mid", subfolder="transformer", torch_dtype=torch.bfloat16)
+# Best Efficiency
+transformer = HeliosTransformer3DModel.from_pretrained("BestWishYsh/Helios-Distilled", subfolder="transformer", torch_dtype=torch.bfloat16)
+```
+
+## HeliosTransformer3DModel
+
+[[autodoc]] HeliosTransformer3DModel
+
+## Transformer2DModelOutput
+
+[[autodoc]] models.modeling_outputs.Transformer2DModelOutput