[Feat] Enable Layerwise CPU offloading for SD3.5, Ovis-Image, Nextstep_1, LongCat-Image

docs/user_guide/diffusion/cpu_offload_diffusion.md

@@ -139,11 +139,15 @@ Factory function `get_offload_backend()` selects the appropriate backend based o
 
 ## Supported Models
 
-| Architecture | Example Models | DiT Class | Model-Level Offload | Layerwise Offload | Blocks Attr (Layerwise specific) |
-|--------------|----------------|-----------|---------------------|-------------------|-------------|
-| Wan22Pipeline | `Wan-AI/Wan2.2-T2V-A14B-Diffusers` | `WanTransformer3DModel` | ✓ | ✓ | `"blocks"` |
-| Wan22I2VPipeline | `Wan-AI/Wan2.2-I2V-A14B-Diffusers` | `WanTransformer3DModel` | ✓ | ✓ | `"blocks"` |
+| Architecture | Example Models | DiT Class | Model-Level Offload | Layerwise Offload | Blocks Attrs (Layerwise specific) |
+|--------------|----------------|-----------|---------------------|-------------------|-----------------------------------|
+| LongCatImagePipeline | `meituan-longcat/LongCat-Image` | `LongCatImageTransformer2DModel` | - | ✓ | `"transformer_blocks"`, `"single_transformer_blocks"` |
+| NextStep11Pipeline | `stepfun-ai/NextStep-1.1` | `NextStepModel` | - | ✓ | `"layers"` |
+| OvisImagePipeline | `AIDC-AI/Ovis-Image-7B` | `OvisImageTransformer2DModel` | - | ✓ | `"transformer"` |
 | QwenImagePipeline | `Qwen/Qwen-Image` | `QwenImageTransformer2DModel` | ✓ | ✓ | `"transformer_blocks"` |
+| StableDiffusion3Pipeline | `stabilityai/stable-diffusion-3.5-medium` | `SD3Transformer2DModel` | - | ✓ | `"transformer_blocks"` |
+| Wan22I2VPipeline | `Wan-AI/Wan2.2-I2V-A14B-Diffusers` | `WanTransformer3DModel` | ✓ | ✓ | `"blocks"` |
+| Wan22Pipeline | `Wan-AI/Wan2.2-T2V-A14B-Diffusers` | `WanTransformer3DModel` | ✓ | ✓ | `"blocks"` |
 
 **Notes:**
 - Model-Level Offloading is expected to be supported by all common diffusion models (DiT and encoders) naturally

docs/user_guide/diffusion_features.md

@@ -107,19 +107,19 @@ The following tables show which models support each feature:
 | **FLUX.2-dev** | ❌ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ |
 | **GLM-Image** | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ |
 | **HunyuanImage3** | ❌ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ |
-| **LongCat-Image** | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
-| **LongCat-Image-Edit** | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
+| **LongCat-Image** | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ |
+| **LongCat-Image-Edit** | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ |
 | **MagiHuman** | ❌ | ❌ | ❌ | ❓ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ |
 | **MammothModa2(T2I)** | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
-| **Nextstep_1(T2I)** | ❓ | ❓ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
+| **Nextstep_1(T2I)** | ❓ | ❓ | ❌ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ |
 | **OmniGen2** | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
-| **Ovis-Image** | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
+| **Ovis-Image** | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
 | **Qwen-Image** | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ (decode) | ✅ | ✅ |
 | **Qwen-Image-2512** | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ (decode) | ✅ | ✅ |
 | **Qwen-Image-Edit** | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ (decode) | ❌ | ❌ |
 | **Qwen-Image-Edit-2509** | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ (decode) | ✅ | ❌ | ❌ |
 | **Qwen-Image-Layered** | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ (decode) | ❌ | ❌ |
-| **Stable-Diffusion3.5** | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ (decode) | ❌ | ❌ |
+| **Stable-Diffusion3.5** | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ✅ | ✅ (decode) | ❌ | ❌ |
 | **Z-Image** | ✅ | ✅ | ✅ | ❓ | ✅ (TP=2 only) | ✅ | ❌ | ✅ (decode) | ✅ | ❌ |
 
 > Notes:

examples/offline_inference/text_to_image/text_to_image.py

@@ -376,7 +376,7 @@ def main():
         f"vae_patch_parallel_size={args.vae_patch_parallel_size}, "
         f"enable_expert_parallel={args.enable_expert_parallel}."
     )
-    print(f"  CPU offload: {args.enable_cpu_offload}")
+    print(f"  CPU offload: {args.enable_cpu_offload}; CPU Layerwise Offload: {args.enable_layerwise_offload}")
     print(f"  Image size: {args.width}x{args.height}")
     if args.lora_path:
         print(f"  LoRA: scale={args.lora_scale}")

vllm_omni/diffusion/models/longcat_image/longcat_image_transformer.py

@@ -582,6 +582,7 @@ class LongCatImageTransformer2DModel(nn.Module):
     """
 
     _repeated_blocks = ["LongCatImageTransformerBlock", "LongCatImageSingleTransformerBlock"]
+    _layerwise_offload_blocks_attrs = ["transformer_blocks", "single_transformer_blocks"]
 
     # Sequence Parallelism for LongCat (following diffusers' _cp_plan pattern)
     _sp_plan = {

vllm_omni/diffusion/models/nextstep_1_1/modeling_nextstep.py

@@ -114,6 +114,8 @@ def from_json(cls, path: str) -> NextStepConfig:
 
 
 class NextStepModel(nn.Module):
+    _layerwise_offload_blocks_attrs = ["layers"]
+
     def __init__(self, config: NextStepConfig):
         super().__init__()
         self.config = config

vllm_omni/diffusion/models/ovis_image/ovis_image_transformer.py

@@ -366,6 +366,7 @@ class OvisImageTransformer2DModel(nn.Module):
     """
 
     _repeated_blocks = ["OvisImageTransformerBlock", "OvisImageSingleTransformerBlock"]
+    _layerwise_offload_blocks_attrs = ["transformer_blocks", "single_transformer_blocks"]
 
     def __init__(
         self,

vllm_omni/diffusion/models/sd3/sd3_transformer.py

@@ -387,6 +387,7 @@ class SD3Transformer2DModel(nn.Module):
     """
 
     _repeated_blocks = ["SD3TransformerBlock"]
+    _layerwise_offload_blocks_attrs = ["transformer_blocks"]
 
     def __init__(
         self,

vllm_omni/diffusion/offloader/module_collector.py

@@ -21,7 +21,7 @@ class PipelineModules:
 class ModuleDiscovery:
     """Discovers pipeline components for offloading"""
 
-    DIT_ATTRS = ["transformer", "transformer_2", "dit", "sr_dit", "language_model", "transformer_blocks"]
+    DIT_ATTRS = ["transformer", "transformer_2", "dit", "sr_dit", "language_model", "transformer_blocks", "model"]
     ENCODER_ATTRS = ["text_encoder", "text_encoder_2", "text_encoder_3", "image_encoder"]
     VAE_ATTRS = ["vae", "audio_vae"]