Merge branch 'main' into requirements-custom-blocks

Author: sayakpaul

docs/source/en/_toctree.yml

@@ -340,6 +340,8 @@
         title: AllegroTransformer3DModel
       - local: api/models/aura_flow_transformer2d
         title: AuraFlowTransformer2DModel
+      - local: api/models/bria_transformer
+        title: BriaTransformer2DModel
       - local: api/models/chroma_transformer
         title: ChromaTransformer2DModel
       - local: api/models/cogvideox_transformer3d
@@ -468,6 +470,8 @@
       title: AutoPipeline
     - local: api/pipelines/blip_diffusion
       title: BLIP-Diffusion
+    - local: api/pipelines/bria_3_2
+      title: Bria 3.2
     - local: api/pipelines/chroma
       title: Chroma
     - local: api/pipelines/cogvideox

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

@@ -0,0 +1,19 @@
+<!--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.
+-->
+
+# BriaTransformer2DModel
+
+A modified flux Transformer model from [Bria](https://huggingface.co/briaai/BRIA-3.2)
+
+## BriaTransformer2DModel
+
+[[autodoc]] BriaTransformer2DModel

docs/source/en/api/pipelines/bria_3_2.md

@@ -0,0 +1,44 @@
+<!--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.
+-->
+
+# Bria 3.2
+
+Bria 3.2 is the next-generation commercial-ready text-to-image model. With just 4 billion parameters, it provides exceptional aesthetics and text rendering, evaluated to provide on par results to leading open-source models, and outperforming other licensed models.
+In addition to being built entirely on licensed data, 3.2 provides several advantages for enterprise and commercial use:
+
+- Efficient Compute - the model is X3 smaller than the equivalent models in the market (4B parameters vs 12B parameters other open source models)
+- Architecture Consistency: Same architecture as 3.1—ideal for users looking to upgrade without disruption.
+- Fine-tuning Speedup: 2x faster fine-tuning on L40S and A100.
+
+Original model checkpoints for Bria 3.2 can be found [here](https://huggingface.co/briaai/BRIA-3.2).
+Github repo for Bria 3.2 can be found [here](https://github.com/Bria-AI/BRIA-3.2).
+
+If you want to learn more about the Bria platform, and get free traril access, please visit [bria.ai](https://bria.ai).
+
+
+## Usage
+
+_As the model is gated, before using it with diffusers you first need to go to the [Bria 3.2 Hugging Face page](https://huggingface.co/briaai/BRIA-3.2), fill in the form and accept the gate. Once you are in, you need to login so that your system knows you’ve accepted the gate._
+
+Use the command below to log in:
+
+```bash
+hf auth login
+```
+
+
+## BriaPipeline
+
+[[autodoc]] BriaPipeline
+	- all
+	- __call__
+

docs/source/en/api/pipelines/overview.md

@@ -37,6 +37,7 @@ The table below lists all the pipelines currently available in 🤗 Diffusers an
 | [AudioLDM2](audioldm2) | text2audio |
 | [AuraFlow](auraflow) | text2image |
 | [BLIP Diffusion](blip_diffusion) | text2image |
+| [Bria 3.2](bria_3_2) | text2image |
 | [CogVideoX](cogvideox) | text2video |
 | [Consistency Models](consistency_models) | unconditional image generation |
 | [ControlNet](controlnet) | text2image, image2image, inpainting |

docs/source/zh/_toctree.yml

@@ -15,15 +15,49 @@
   - local: using-diffusers/schedulers
     title: Load schedulers and models
 
+- title: Inference
+  isExpanded: false
+  sections:
+  - local: training/distributed_inference
+    title: Distributed inference
+
 - title: Inference optimization
   isExpanded: false
   sections:
   - local: optimization/fp16
     title: Accelerate inference
+  - local: optimization/cache
+    title: Caching
+  - local: optimization/memory
+    title: Reduce memory usage
+  - local: optimization/speed-memory-optims
+    title: Compile and offloading quantized models
   - title: Community optimizations
     sections:
+    - local: optimization/pruna
+      title: Pruna
     - local: optimization/xformers
       title: xFormers
+    - local: optimization/tome
+      title: Token merging
+    - local: optimization/deepcache
+      title: DeepCache
+    - local: optimization/tgate
+      title: TGATE
+    - local: optimization/xdit
+      title: xDiT
+    - local: optimization/para_attn
+      title: ParaAttention
+
+- title: Hybrid Inference
+  isExpanded: false
+  sections:
+  - local: hybrid_inference/overview
+    title: Overview
+  - local: hybrid_inference/vae_encode
+    title: VAE Encode
+  - local: hybrid_inference/api_reference
+    title: API Reference
 
 - title: Modular Diffusers
   isExpanded: false
@@ -44,6 +78,10 @@
     title: AutoPipelineBlocks
   - local: modular_diffusers/modular_pipeline
     title: ModularPipeline
+  - local: modular_diffusers/components_manager
+    title: ComponentsManager
+  - local: modular_diffusers/guiders
+    title: Guiders
 
 - title: Training
   isExpanded: false
@@ -56,12 +94,20 @@
     sections:
     - local: training/text2image
       title: Text-to-image
+    - local: training/kandinsky
+      title: Kandinsky 2.2
+    - local: training/wuerstchen
+      title: Wuerstchen
     - local: training/controlnet
       title: ControlNet
+    - local: training/instructpix2pix
+      title: InstructPix2Pix
   - title: Methods
     sections:
     - local: training/text_inversion
       title: Textual Inversion
+    - local: training/dreambooth
+      title: DreamBooth
     - local: training/lora
       title: LoRA
 
@@ -70,6 +116,16 @@
   sections:
   - local: optimization/onnx
     title: ONNX
+  - local: optimization/open_vino
+    title: OpenVINO
+  - local: optimization/coreml
+    title: Core ML
+  - local: optimization/mps
+    title: Metal Performance Shaders (MPS)
+  - local: optimization/habana
+    title: Intel Gaudi
+  - local: optimization/neuron
+    title: AWS Neuron
 
 - title: Specific pipeline examples
   isExpanded: false

docs/source/zh/hybrid_inference/api_reference.md

@@ -0,0 +1,9 @@
+# 混合推理 API 参考
+
+## 远程解码
+
+[[autodoc]] utils.remote_utils.remote_decode
+
+## 远程编码
+
+[[autodoc]] utils.remote_utils.remote_encode

docs/source/zh/hybrid_inference/overview.md

@@ -0,0 +1,55 @@
+<!--版权 2025 HuggingFace 团队。保留所有权利。
+
+根据 Apache 许可证 2.0 版本（"许可证"）授权；除非遵守许可证，否则不得使用此文件。
+您可以在以下网址获取许可证副本：
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+除非适用法律要求或书面同意，否则根据许可证分发的软件按"原样"分发，不附带任何明示或暗示的担保或条件。请参阅许可证以了解具体的语言管理权限和限制。
+-->
+
+# 混合推理
+
+**通过混合推理赋能本地 AI 构建者**
+
+> [!TIP]
+> 混合推理是一项[实验性功能](https://huggingface.co/blog/remote_vae)。
+> 可以在此处提供反馈[此处](https://github.com/huggingface/diffusers/issues/new?template=remote-vae-pilot-feedback.yml)。
+
+## 为什么使用混合推理？
+
+混合推理提供了一种快速简单的方式来卸载本地生成需求。
+
+- 🚀 **降低要求：** 无需昂贵硬件即可访问强大模型。
+- 💎 **无妥协：** 在不牺牲性能的情况下实现最高质量。
+- 💰 **成本效益高：** 它是免费的！🤑
+- 🎯 **多样化用例：** 与 Diffusers � 和更广泛的社区完全兼容。
+- 🔧 **开发者友好：** 简单请求，快速响应。
+
+---
+
+## 可用模型
+
+* **VAE 解码 🖼️：** 快速将潜在表示解码为高质量图像，不影响性能或工作流速度。
+* **VAE 编码 🔢：** 高效将图像编码为潜在表示，用于生成和训练。
+* **文本编码器 📃（即将推出）：** 快速准确地计算提示的文本嵌入，确保流畅高质量的工作流。
+
+---
+
+## 集成
+
+* **[SD.Next](https://github.com/vladmandic/sdnext)：** 一体化 UI，直接支持混合推理。
+* **[ComfyUI-HFRemoteVae](https://github.com/kijai/ComfyUI-HFRemoteVae)：** 用于混合推理的 ComfyUI 节点。
+
+## 更新日志
+
+- 2025 年 3 月 10 日：添加了 VAE 编码
+- 2025 年 3 月 2 日：初始发布，包含 VAE 解码
+
+## 内容
+
+文档分为三个部分：
+
+* **VAE 解码** 学习如何使用混合推理进行 VAE 解码的基础知识。
+* **VAE 编码** 学习如何使用混合推理进行 VAE 编码的基础知识。
+* **API 参考** 深入了解任务特定设置和参数。