Update README.md

README.md

@@ -55,6 +55,31 @@ AWPortrait-QW is based on the Qwen-Image. It's trained using a training set that
 
 No trigger words are requireds. LoRA recommends a weight of 1.0.
 
+## Inference
+
+```python
+import torch
+from diffusers import QwenImagePipeline
+
+pipe = QwenImagePipeline.from_pretrained("Qwen/Qwen-Image", torch_dtype=torch.bfloat16)
+pipe.load_lora_weights("Shakker-Labs/AWPortrait-QW", weight_name="AWPortrait-QW_1.0.safetensors")
+pipe.fuse_lora(lora_scale=1.0)
+pipe.to("cuda")
+
+prompt = "Black and white portrait of an Asian woman with dynamic hair movement,wearing a dark jacket against a light background."
+
+image = pipe(
+    prompt=prompt,
+    negative_prompt="blurry, bad faces, bad hands, worst quality, low quality, jpeg artifacts",
+    width=1328,
+    height=1328,
+    num_inference_steps=30,
+    true_cfg_scale=4.0,
+    generator=torch.Generator(device="cuda").manual_seed(0),
+).images[0]
+image.save(f"example.png")
+```
+
 ## Online Inference
 
 You can also try this model on [Liblib AI](https://www.liblib.art/modelinfo/cadba03ead404ea3bc1cda3d30803d84?from=feed&versionUuid=52ac709e59be444ba5965bb73493a9db&rankExpId=RVIyX0wyI0VHMTEjRTE3X0wzI0VHMjAjRTMw).