diff --git a/examples/qwen_image/model_training/validate_full/FireRed-Image-Edit-1.0.py b/examples/qwen_image/model_training/validate_full/FireRed-Image-Edit-1.0.py
index 3c0d07b4c..c95bb0591 100644
--- a/examples/qwen_image/model_training/validate_full/FireRed-Image-Edit-1.0.py
+++ b/examples/qwen_image/model_training/validate_full/FireRed-Image-Edit-1.0.py
@@ -2,6 +2,7 @@
 from PIL import Image
 from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
 from diffsynth import load_state_dict
+from modelscope import dataset_snapshot_download
 
 pipe = QwenImagePipeline.from_pretrained(
     torch_dtype=torch.bfloat16,
@@ -17,6 +18,12 @@
 state_dict = load_state_dict("models/train/FireRed-Image-Edit-1.0_full/epoch-1.safetensors")
 pipe.dit.load_state_dict(state_dict)
 
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="edit/*.jpg"
+)
+
 prompt = "Change the color of the dress in Figure 1 to the color shown in Figure 2."
 images = [
     Image.open("data/example_image_dataset/edit/image1.jpg").resize((1024, 1024)),
diff --git a/examples/qwen_image/model_training/validate_full/FireRed-Image-Edit-1.1.py b/examples/qwen_image/model_training/validate_full/FireRed-Image-Edit-1.1.py
index 02801dc98..5a73a6156 100644
--- a/examples/qwen_image/model_training/validate_full/FireRed-Image-Edit-1.1.py
+++ b/examples/qwen_image/model_training/validate_full/FireRed-Image-Edit-1.1.py
@@ -2,6 +2,7 @@
 from PIL import Image
 from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
 from diffsynth import load_state_dict
+from modelscope import dataset_snapshot_download
 
 pipe = QwenImagePipeline.from_pretrained(
     torch_dtype=torch.bfloat16,
@@ -17,6 +18,12 @@
 state_dict = load_state_dict("models/train/FireRed-Image-Edit-1.1_full/epoch-1.safetensors")
 pipe.dit.load_state_dict(state_dict)
 
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="edit/*.jpg"
+)
+
 prompt = "Change the color of the dress in Figure 1 to the color shown in Figure 2."
 images = [
     Image.open("data/example_image_dataset/edit/image1.jpg").resize((1024, 1024)),
diff --git a/examples/qwen_image/model_training/validate_full/Qwen-Image-Edit-2509.py b/examples/qwen_image/model_training/validate_full/Qwen-Image-Edit-2509.py
index 9295904ca..dd62fe9ef 100644
--- a/examples/qwen_image/model_training/validate_full/Qwen-Image-Edit-2509.py
+++ b/examples/qwen_image/model_training/validate_full/Qwen-Image-Edit-2509.py
@@ -2,6 +2,7 @@
 from PIL import Image
 from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
 from diffsynth import load_state_dict
+from modelscope import dataset_snapshot_download
 
 pipe = QwenImagePipeline.from_pretrained(
     torch_dtype=torch.bfloat16,
@@ -17,6 +18,12 @@
 state_dict = load_state_dict("models/train/Qwen-Image-Edit-2509_full/epoch-1.safetensors")
 pipe.dit.load_state_dict(state_dict)
 
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="edit/*.jpg"
+)
+
 prompt = "Change the color of the dress in Figure 1 to the color shown in Figure 2."
 images = [
     Image.open("data/example_image_dataset/edit/image1.jpg").resize((1024, 1024)),
diff --git a/examples/qwen_image/model_training/validate_full/Qwen-Image-Edit-2511.py b/examples/qwen_image/model_training/validate_full/Qwen-Image-Edit-2511.py
index c94dadc54..21f1da9a1 100644
--- a/examples/qwen_image/model_training/validate_full/Qwen-Image-Edit-2511.py
+++ b/examples/qwen_image/model_training/validate_full/Qwen-Image-Edit-2511.py
@@ -2,6 +2,7 @@
 from PIL import Image
 from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
 from diffsynth import load_state_dict
+from modelscope import dataset_snapshot_download
 
 pipe = QwenImagePipeline.from_pretrained(
     torch_dtype=torch.bfloat16,
@@ -17,6 +18,12 @@
 state_dict = load_state_dict("models/train/Qwen-Image-Edit-2511_full/epoch-1.safetensors")
 pipe.dit.load_state_dict(state_dict)
 
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="edit/*.jpg"
+)
+
 prompt = "Change the color of the dress in Figure 1 to the color shown in Figure 2."
 images = [
     Image.open("data/example_image_dataset/edit/image1.jpg").resize((1024, 1024)),
diff --git a/examples/qwen_image/model_training/validate_full/Qwen-Image-Edit.py b/examples/qwen_image/model_training/validate_full/Qwen-Image-Edit.py
index c08b4850c..04fc5356c 100644
--- a/examples/qwen_image/model_training/validate_full/Qwen-Image-Edit.py
+++ b/examples/qwen_image/model_training/validate_full/Qwen-Image-Edit.py
@@ -2,6 +2,7 @@
 from PIL import Image
 from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
 from diffsynth import load_state_dict
+from modelscope import dataset_snapshot_download
 
 pipe = QwenImagePipeline.from_pretrained(
     torch_dtype=torch.bfloat16,
@@ -17,6 +18,12 @@
 state_dict = load_state_dict("models/train/Qwen-Image-Edit_full/epoch-1.safetensors")
 pipe.dit.load_state_dict(state_dict)
 
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="edit/image1.jpg"
+)
+
 prompt = "将裙子改为粉色"
 image = Image.open("data/example_image_dataset/edit/image1.jpg").resize((1024, 1024))
 image = pipe(prompt, edit_image=image, seed=0, num_inference_steps=40, height=1024, width=1024)
diff --git a/examples/qwen_image/model_training/validate_full/Qwen-Image-Layered-Control.py b/examples/qwen_image/model_training/validate_full/Qwen-Image-Layered-Control.py
index 961904f93..eec5f85d9 100644
--- a/examples/qwen_image/model_training/validate_full/Qwen-Image-Layered-Control.py
+++ b/examples/qwen_image/model_training/validate_full/Qwen-Image-Layered-Control.py
@@ -2,6 +2,7 @@
 from diffsynth import load_state_dict
 from PIL import Image
 import torch
+from modelscope import dataset_snapshot_download
 
 
 pipe = QwenImagePipeline.from_pretrained(
@@ -16,6 +17,12 @@
 )
 state_dict = load_state_dict("models/train/Qwen-Image-Layered-Control_full/epoch-1.safetensors")
 pipe.dit.load_state_dict(state_dict)
+
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="layer/image.png"
+)
 prompt = "Text 'HELLO' and 'Have a great day'"
 input_image = Image.open("data/example_image_dataset/layer/image.png").convert("RGBA").resize((864, 480))
 images = pipe(
diff --git a/examples/qwen_image/model_training/validate_full/Qwen-Image-Layered.py b/examples/qwen_image/model_training/validate_full/Qwen-Image-Layered.py
index dc845498b..08162909a 100644
--- a/examples/qwen_image/model_training/validate_full/Qwen-Image-Layered.py
+++ b/examples/qwen_image/model_training/validate_full/Qwen-Image-Layered.py
@@ -2,6 +2,7 @@
 from diffsynth import load_state_dict
 from PIL import Image
 import torch
+from modelscope import dataset_snapshot_download
 
 
 pipe = QwenImagePipeline.from_pretrained(
@@ -16,6 +17,12 @@
 )
 state_dict = load_state_dict("models/train/Qwen-Image-Layered_full/epoch-1.safetensors")
 pipe.dit.load_state_dict(state_dict)
+
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="layer/image.png"
+)
 prompt = "a poster"
 input_image = Image.open("data/example_image_dataset/layer/image.png").convert("RGBA").resize((864, 480))
 images = pipe(
diff --git a/examples/qwen_image/model_training/validate_lora/FireRed-Image-Edit-1.0.py b/examples/qwen_image/model_training/validate_lora/FireRed-Image-Edit-1.0.py
index b5b0046e1..15633d0cf 100644
--- a/examples/qwen_image/model_training/validate_lora/FireRed-Image-Edit-1.0.py
+++ b/examples/qwen_image/model_training/validate_lora/FireRed-Image-Edit-1.0.py
@@ -1,6 +1,7 @@
 import torch
 from PIL import Image
 from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
+from modelscope import dataset_snapshot_download
 
 pipe = QwenImagePipeline.from_pretrained(
     torch_dtype=torch.bfloat16,
@@ -15,6 +16,12 @@
 )
 pipe.load_lora(pipe.dit, "models/train/FireRed-Image-Edit-1.0_lora/epoch-4.safetensors")
 
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="edit/*.jpg"
+)
+
 prompt = "Change the color of the dress in Figure 1 to the color shown in Figure 2."
 images = [
     Image.open("data/example_image_dataset/edit/image1.jpg").resize((1024, 1024)),
diff --git a/examples/qwen_image/model_training/validate_lora/FireRed-Image-Edit-1.1.py b/examples/qwen_image/model_training/validate_lora/FireRed-Image-Edit-1.1.py
index 234105ba3..cf1a2042c 100644
--- a/examples/qwen_image/model_training/validate_lora/FireRed-Image-Edit-1.1.py
+++ b/examples/qwen_image/model_training/validate_lora/FireRed-Image-Edit-1.1.py
@@ -1,6 +1,7 @@
 import torch
 from PIL import Image
 from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
+from modelscope import dataset_snapshot_download
 
 pipe = QwenImagePipeline.from_pretrained(
     torch_dtype=torch.bfloat16,
@@ -15,6 +16,12 @@
 )
 pipe.load_lora(pipe.dit, "models/train/FireRed-Image-Edit-1.1_lora/epoch-4.safetensors")
 
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="edit/*.jpg"
+)
+
 prompt = "Change the color of the dress in Figure 1 to the color shown in Figure 2."
 images = [
     Image.open("data/example_image_dataset/edit/image1.jpg").resize((1024, 1024)),
diff --git a/examples/qwen_image/model_training/validate_lora/Qwen-Image-Edit-2509.py b/examples/qwen_image/model_training/validate_lora/Qwen-Image-Edit-2509.py
index e701b0749..f1656b47a 100644
--- a/examples/qwen_image/model_training/validate_lora/Qwen-Image-Edit-2509.py
+++ b/examples/qwen_image/model_training/validate_lora/Qwen-Image-Edit-2509.py
@@ -1,6 +1,7 @@
 import torch
 from PIL import Image
 from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
+from modelscope import dataset_snapshot_download
 
 pipe = QwenImagePipeline.from_pretrained(
     torch_dtype=torch.bfloat16,
@@ -15,6 +16,12 @@
 )
 pipe.load_lora(pipe.dit, "models/train/Qwen-Image-Edit-2509_lora/epoch-4.safetensors")
 
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="edit/*.jpg"
+)
+
 prompt = "Change the color of the dress in Figure 1 to the color shown in Figure 2."
 images = [
     Image.open("data/example_image_dataset/edit/image1.jpg").resize((1024, 1024)),
diff --git a/examples/qwen_image/model_training/validate_lora/Qwen-Image-Edit-2511.py b/examples/qwen_image/model_training/validate_lora/Qwen-Image-Edit-2511.py
index 0cd0fc7bd..4db3e93a4 100644
--- a/examples/qwen_image/model_training/validate_lora/Qwen-Image-Edit-2511.py
+++ b/examples/qwen_image/model_training/validate_lora/Qwen-Image-Edit-2511.py
@@ -1,6 +1,7 @@
 import torch
 from PIL import Image
 from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
+from modelscope import dataset_snapshot_download
 
 pipe = QwenImagePipeline.from_pretrained(
     torch_dtype=torch.bfloat16,
@@ -15,6 +16,12 @@
 )
 pipe.load_lora(pipe.dit, "models/train/Qwen-Image-Edit-2511_lora/epoch-4.safetensors")
 
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="edit/*.jpg"
+)
+
 prompt = "Change the color of the dress in Figure 1 to the color shown in Figure 2."
 images = [
     Image.open("data/example_image_dataset/edit/image1.jpg").resize((1024, 1024)),
diff --git a/examples/qwen_image/model_training/validate_lora/Qwen-Image-Edit.py b/examples/qwen_image/model_training/validate_lora/Qwen-Image-Edit.py
index 2576be339..b090c4257 100644
--- a/examples/qwen_image/model_training/validate_lora/Qwen-Image-Edit.py
+++ b/examples/qwen_image/model_training/validate_lora/Qwen-Image-Edit.py
@@ -1,6 +1,7 @@
 import torch
 from PIL import Image
 from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
+from modelscope import dataset_snapshot_download
 
 pipe = QwenImagePipeline.from_pretrained(
     torch_dtype=torch.bfloat16,
@@ -15,6 +16,12 @@
 )
 pipe.load_lora(pipe.dit, "models/train/Qwen-Image-Edit_lora/epoch-4.safetensors")
 
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="edit/image1.jpg"
+)
+
 prompt = "将裙子改为粉色"
 image = Image.open("data/example_image_dataset/edit/image1.jpg").resize((1024, 1024))
 image = pipe(prompt, edit_image=image, seed=0, num_inference_steps=40, height=1024, width=1024)
diff --git a/examples/qwen_image/model_training/validate_lora/Qwen-Image-EliGen-Poster.py b/examples/qwen_image/model_training/validate_lora/Qwen-Image-EliGen-Poster.py
index 81f697c40..5ffb7daf9 100644
--- a/examples/qwen_image/model_training/validate_lora/Qwen-Image-EliGen-Poster.py
+++ b/examples/qwen_image/model_training/validate_lora/Qwen-Image-EliGen-Poster.py
@@ -1,6 +1,7 @@
 from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
 import torch
 from PIL import Image
+from modelscope import dataset_snapshot_download
 
 
 pipe = QwenImagePipeline.from_pretrained(
@@ -15,6 +16,12 @@
 )
 pipe.load_lora(pipe.dit, "models/train/Qwen-Image-EliGen-Poster_lora/epoch-4.safetensors")
 
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="eligen/*.png"
+)
+
 
 entity_prompts = ["A beautiful girl", "sign 'Entity Control'", "shorts", "shirt"]
 global_prompt = "A beautiful girl wearing shirt and shorts in the street,  holding a sign 'Entity Control'"
diff --git a/examples/qwen_image/model_training/validate_lora/Qwen-Image-EliGen.py b/examples/qwen_image/model_training/validate_lora/Qwen-Image-EliGen.py
index cd7904e9d..fa123024b 100644
--- a/examples/qwen_image/model_training/validate_lora/Qwen-Image-EliGen.py
+++ b/examples/qwen_image/model_training/validate_lora/Qwen-Image-EliGen.py
@@ -1,6 +1,7 @@
 from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
 import torch
 from PIL import Image
+from modelscope import dataset_snapshot_download
 
 
 pipe = QwenImagePipeline.from_pretrained(
@@ -15,6 +16,12 @@
 )
 pipe.load_lora(pipe.dit, "models/train/Qwen-Image-EliGen_lora/epoch-4.safetensors")
 
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="eligen/*.png"
+)
+
 
 entity_prompts = ["A beautiful girl", "sign 'Entity Control'", "shorts", "shirt"]
 global_prompt = "A beautiful girl wearing shirt and shorts in the street,  holding a sign 'Entity Control'"
diff --git a/examples/qwen_image/model_training/validate_lora/Qwen-Image-In-Context-Control-Union.py b/examples/qwen_image/model_training/validate_lora/Qwen-Image-In-Context-Control-Union.py
index 83a93a3f6..b115aa31d 100644
--- a/examples/qwen_image/model_training/validate_lora/Qwen-Image-In-Context-Control-Union.py
+++ b/examples/qwen_image/model_training/validate_lora/Qwen-Image-In-Context-Control-Union.py
@@ -1,6 +1,7 @@
 from PIL import Image
 import torch
 from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
+from modelscope import dataset_snapshot_download
 
 pipe = QwenImagePipeline.from_pretrained(
     torch_dtype=torch.bfloat16,
@@ -13,6 +14,12 @@
     tokenizer_config=ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="tokenizer/"),
 )
 pipe.load_lora(pipe.dit, "models/train/Qwen-Image-In-Context-Control-Union_lora/epoch-4.safetensors")
+
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="canny/image_1.jpg"
+)
 image = Image.open("data/example_image_dataset/canny/image_1.jpg").resize((1024, 1024))
 prompt = "Context_Control. a dog"
 image = pipe(prompt=prompt, seed=0, context_image=image, height=1024, width=1024)
diff --git a/examples/qwen_image/model_training/validate_lora/Qwen-Image-Layered-Control-V2.py b/examples/qwen_image/model_training/validate_lora/Qwen-Image-Layered-Control-V2.py
index 3aa7ac4e4..59b26967a 100644
--- a/examples/qwen_image/model_training/validate_lora/Qwen-Image-Layered-Control-V2.py
+++ b/examples/qwen_image/model_training/validate_lora/Qwen-Image-Layered-Control-V2.py
@@ -15,6 +15,12 @@
 )
 pipe.load_lora(pipe.dit, "models/train/Qwen-Image-Layered-Control-V2_lora/epoch-4.safetensors")
 
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="layer_v2/*.png"
+)
+
 prompt = "Text 'APRIL'"
 input_image = Image.open("data/example_image_dataset/layer_v2/image_1.png").convert("RGBA").resize((1024, 1024))
 image = pipe(
diff --git a/examples/qwen_image/model_training/validate_lora/Qwen-Image-Layered-Control.py b/examples/qwen_image/model_training/validate_lora/Qwen-Image-Layered-Control.py
index 1a96e8b43..0f968f8f2 100644
--- a/examples/qwen_image/model_training/validate_lora/Qwen-Image-Layered-Control.py
+++ b/examples/qwen_image/model_training/validate_lora/Qwen-Image-Layered-Control.py
@@ -2,6 +2,7 @@
 from diffsynth import load_state_dict
 from PIL import Image
 import torch
+from modelscope import dataset_snapshot_download
 
 
 pipe = QwenImagePipeline.from_pretrained(
@@ -15,6 +16,12 @@
     tokenizer_config=ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="tokenizer/"),
 )
 pipe.load_lora(pipe.dit, "models/train/Qwen-Image-Layered-Control_lora/epoch-4.safetensors")
+
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="layer/image.png"
+)
 prompt = "Text 'HELLO' and 'Have a great day'"
 input_image = Image.open("data/example_image_dataset/layer/image.png").convert("RGBA").resize((864, 480))
 images = pipe(
diff --git a/examples/qwen_image/model_training/validate_lora/Qwen-Image-Layered.py b/examples/qwen_image/model_training/validate_lora/Qwen-Image-Layered.py
index 4ae4c8b6c..a0e91bc11 100644
--- a/examples/qwen_image/model_training/validate_lora/Qwen-Image-Layered.py
+++ b/examples/qwen_image/model_training/validate_lora/Qwen-Image-Layered.py
@@ -2,6 +2,7 @@
 from diffsynth import load_state_dict
 from PIL import Image
 import torch
+from modelscope import dataset_snapshot_download
 
 
 pipe = QwenImagePipeline.from_pretrained(
@@ -15,6 +16,12 @@
     tokenizer_config=ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="tokenizer/"),
 )
 pipe.load_lora(pipe.dit, "models/train/Qwen-Image-Layered_lora/epoch-4.safetensors")
+
+dataset_snapshot_download(
+    dataset_id="DiffSynth-Studio/example_image_dataset",
+    local_dir="./data/example_image_dataset",
+    allow_file_pattern="layer/image.png"
+)
 prompt = "a poster"
 input_image = Image.open("data/example_image_dataset/layer/image.png").convert("RGBA").resize((864, 480))
 images = pipe(