diff --git a/diffsynth/configs/model_config.py b/diffsynth/configs/model_config.py
index b60c200..9fa652d 100644
--- a/diffsynth/configs/model_config.py
+++ b/diffsynth/configs/model_config.py
@@ -69,6 +69,7 @@ from ..models.flux_value_control import SingleValueEncoder
 from ..lora.flux_lora import FluxLoraPatcher
 from ..models.flux_lora_encoder import FluxLoRAEncoder
 
+from ..models.nexus_gen_projector import NexusGenAdapter
 
 model_loader_configs = [
     # These configs are provided for detecting model type automatically.
@@ -152,6 +153,7 @@ model_loader_configs = [
     (None, "d30fb9e02b1dbf4e509142f05cf7dd50", ["flux_dit", "step1x_connector"], [FluxDiT, Qwen2Connector], "civitai"),
     (None, "30143afb2dea73d1ac580e0787628f8c", ["flux_lora_patcher"], [FluxLoraPatcher], "civitai"),
     (None, "77c2e4dd2440269eb33bfaa0d004f6ab", ["flux_lora_encoder"], [FluxLoRAEncoder], "civitai"),
+    (None, "3e6c61b0f9471135fc9c6d6a98e98b6d", ["flux_dit", "nexus-gen_adapter"], [FluxDiT, NexusGenAdapter], "civitai"),
 ]
 huggingface_model_loader_configs = [
     # These configs are provided for detecting model type automatically.
diff --git a/diffsynth/models/flux_dit.py b/diffsynth/models/flux_dit.py
index ea5ce21..3dd728d 100644
--- a/diffsynth/models/flux_dit.py
+++ b/diffsynth/models/flux_dit.py
@@ -2,7 +2,7 @@ import torch
 from .sd3_dit import TimestepEmbeddings, AdaLayerNorm, RMSNorm
 from einops import rearrange
 from .tiler import TileWorker
-from .utils import init_weights_on_device
+from .utils import init_weights_on_device, hash_state_dict_keys
 
 def interact_with_ipadapter(hidden_states, q, ip_k, ip_v, scale=1.0):
     batch_size, num_tokens = hidden_states.shape[0:2]
@@ -662,6 +662,9 @@ class FluxDiTStateDictConverter:
         return state_dict_
 
     def from_civitai(self, state_dict):
+        if hash_state_dict_keys(state_dict, with_shape=True) == "3e6c61b0f9471135fc9c6d6a98e98b6d":
+            dit_state_dict = {key.replace("pipe.dit.", ""): value for key, value in state_dict.items() if not key.startswith('adapter.')}
+            return dit_state_dict
         rename_dict = {
             "time_in.in_layer.bias": "time_embedder.timestep_embedder.0.bias",
             "time_in.in_layer.weight": "time_embedder.timestep_embedder.0.weight",
diff --git a/examples/flux/model_inference/Nexus-Gen-Generation.py b/examples/flux/model_inference/Nexus-Gen-Generation.py
new file mode 100644
index 0000000..102b7ef
--- /dev/null
+++ b/examples/flux/model_inference/Nexus-Gen-Generation.py
@@ -0,0 +1,21 @@
+import importlib
+import torch
+from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig
+
+if importlib.util.find_spec("transformers") is None:
+    raise ImportError("You are using Nexus-GenV2. It depends on transformers, which is not installed. Please install it with `pip install transformers==4.49.0`.")
+else:
+    import transformers
+    assert transformers.__version__ == "4.49.0", "Nexus-GenV2 requires transformers==0.49.0, please install it with `pip install transformers==0.49.0`."
+
+pipe = FluxImagePipeline.from_pretrained(
+    torch_dtype=torch.bfloat16,
+    device="cuda",
+    model_configs=[
+        ModelConfig(model_id="DiffSynth-Studio/Nexus-GenV2"),
+        ModelConfig(model_id="DiffSynth-Studio/Nexus-GenV2", origin_file_pattern="generation_decoder.bin"),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors"),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/"),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"),
+    ],
+)