Update README.md

README.md

@@ -1,3 +1,45 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+base_model:
+- Qwen/Qwen-Image-Edit-2509
+library_name: diffusers
+tags:
+- sdnq
+- qwen_image
+---
+4 bit (UINT4 with SVD rank 32) quantization of [Qwen/Qwen-Image-Edit-2509](https://huggingface.co/Qwen/Qwen-Image-Edit-2509) using [SDNQ](https://github.com/vladmandic/sdnext/wiki/SDNQ-Quantization).  
+
+Usage:  
+```
+pip install git+https://github.com/Disty0/sdnq
+```
+
+```py
+import torch
+import diffusers
+from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers
+
+pipe = diffusers.QwenImageEditPlusPipeline.from_pretrained("Disty0/Qwen-Image-Edit-2509-SDNQ-uint4-svd-r32", torch_dtype=torch.bfloat16)
+pipe.enable_model_cpu_offload()
+pipe.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")
+
+image.save("qwen-image-edit-2509-sdnq-uint4-svd-r32.png")
+```