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README.md

@@ -1,3 +1,61 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- en
+- zh
+library_name: diffusers
+pipeline_tag: image-to-image
+---
+
+# UniWorld-R1
+
+<p align="center">
+        <a href="https://github.com/PKU-YuanGroup/Edit-R1"><b>Code</b></a> | <a href="https://github.com/PKU-YuanGroup/Edit-R1"><b>Dataset</b></a>
+</p>
+
+
+# Performance
+|Benchmark| Qwen-Image-Edit-2509  | **Edit-R1-Qwen-Image-Edit-2509** |
+| ---- | ---- | ----|
+| GEdit-Bench | 7.54 | **7.76** |
+| ImgEdit | 4.35 | **4.48** |
+
+# Usage
+
+```python
+import os
+import torch
+from PIL import Image
+from diffusers import QwenImageEditPlusPipeline
+
+pipeline = QwenImageEditPlusPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2509", torch_dtype=torch.bfloat16)
+print("pipeline loaded")
+
+pipeline.load_lora_weights(
+    "chestnutlzj/Edit-R1-Qwen-Image-Edit-2509",
+    adapter_name="lora",
+)
+pipeline.set_adapters(["lora"], adapter_weights=[1])
+
+pipeline.to('cuda')
+pipeline.set_progress_bar_config(disable=None)
+image1 = Image.open("input1.png")
+image2 = Image.open("input2.png")
+prompt = "The magician bear is on the left, the alchemist bear is on the right, facing each other in the central park square."
+inputs = {
+    "image": [image1, image2],
+    "prompt": prompt,
+    "generator": torch.manual_seed(0),
+    "true_cfg_scale": 4.0,
+    "negative_prompt": " ",
+    "num_inference_steps": 40,
+    "guidance_scale": 1.0,
+    "num_images_per_prompt": 1,
+}
+with torch.inference_mode():
+    output = pipeline(**inputs)
+    output_image = output.images[0]
+    output_image.save("output_image_edit_plus.png")
+    print("image saved at", os.path.abspath("output_image_edit_plus.png"))
+
+```