add examples

README.md

@@ -766,9 +766,9 @@ DiffSynth-Studio is not just an engineered model framework, but also an incubato
 
 - Paper: [Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation
 ](https://arxiv.org/abs/2602.03208)
-- Sample Code: []()
+- Sample Code: coming soon
 
-|FLUX|FLUX + SES|Qwen-Image|Qwen-Image + SES|
+|FLUX.1-dev|FLUX.1-dev + SES|Qwen-Image|Qwen-Image + SES|
 |-|-|-|-|
 |![Image](https://github.com/user-attachments/assets/5be15dc6-2805-4822-b04c-2573fc0f45f0)|![Image](https://github.com/user-attachments/assets/e71b8c20-1629-41d9-b0ff-185805c1da4e)|![Image](https://github.com/user-attachments/assets/7a73c968-133a-4545-9aa2-205533861cd4)|![Image](https://github.com/user-attachments/assets/c8390b22-14fe-48a0-a6e6-d6556d31235e)|
 

README_zh.md

@@ -766,7 +766,7 @@ DiffSynth-Studio 不仅仅是一个工程化的模型框架，更是创新成果
 
 - 论文：[Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation
 ](https://arxiv.org/abs/2602.03208)
-- 代码样例：[]()
+- 代码样例：coming soon
 
 |FLUX.1-dev|FLUX.1-dev + SES|Qwen-Image|Qwen-Image + SES|
 |-|-|-|-|
@@ -774,6 +774,7 @@ DiffSynth-Studio 不仅仅是一个工程化的模型框架，更是创新成果
 
 </details>
 
+
 <details>
 
 <summary>VIRAL：基于DiT模型的类比视觉上下文推理</summary>
@@ -789,6 +790,7 @@ DiffSynth-Studio 不仅仅是一个工程化的模型框架，更是创新成果
 
 </details>
 
+
 <details>
 
 <summary>AttriCtrl: 图像生成模型的属性强度控制</summary>

examples/qwen_image/model_inference_low_vram/Qwen-Image-Edit-2511-ICEdit.py

@@ -0,0 +1,58 @@
+from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
+from modelscope import snapshot_download
+from PIL import Image
+import torch
+
+# Load models
+vram_config = {
+    "offload_dtype": "disk",
+    "offload_device": "disk",
+    "onload_dtype": torch.float8_e4m3fn,
+    "onload_device": "cpu",
+    "preparing_dtype": torch.float8_e4m3fn,
+    "preparing_device": "cuda",
+    "computation_dtype": torch.bfloat16,
+    "computation_device": "cuda",
+}
+pipe = QwenImagePipeline.from_pretrained(
+    torch_dtype=torch.bfloat16,
+    device="cuda",
+    model_configs=[
+        ModelConfig(model_id="Qwen/Qwen-Image-Edit-2511", origin_file_pattern="transformer/diffusion_pytorch_model*.safetensors", **vram_config),
+        ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="text_encoder/model*.safetensors", **vram_config),
+        ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="vae/diffusion_pytorch_model.safetensors", **vram_config),
+    ],
+    processor_config=ModelConfig(model_id="Qwen/Qwen-Image-Edit", origin_file_pattern="processor/"),
+)
+
+lora = ModelConfig(
+    model_id="DiffSynth-Studio/Qwen-Image-Edit-2511-ICEdit-LoRA",
+    origin_file_pattern="model.safetensors"
+)
+pipe.load_lora(pipe.dit, lora)
+
+# Load images
+snapshot_download(
+    "DiffSynth-Studio/Qwen-Image-Edit-2511-ICEdit-LoRA",
+    local_dir="./data",
+    allow_file_pattern="assets/*"
+)
+edit_image = [
+    Image.open("data/assets/image1_original.png"),
+    Image.open("data/assets/image1_edit_1.png"),
+    Image.open("data/assets/image2_original.png")
+]
+prompt = "Edit image 3 based on the transformation from image 1 to image 2."
+negative_prompt = "泛黄，AI感，不真实，丑陋，油腻的皮肤，异常的肢体，不协调的肢体"
+
+# Generate
+image_4 = pipe(
+    prompt=prompt, negative_prompt=negative_prompt,
+    edit_image=edit_image,
+    seed=1,
+    num_inference_steps=50,
+    height=1280,
+    width=720,
+    zero_cond_t=True,
+)
+image_4.save("image.png")