Update README.md

README.md

@@ -34,15 +34,15 @@ pipeline.scheduler = LCMScheduler.from_config(pipeline.scheduler.config)
 pipeline.load_lora_weights('Yihong666/yoso_sd1.5_lora')
 generator = torch.manual_seed(318)
 steps = 1
-imgs_noise = pipeline(prompt="A photo of a corgi in forest, highly detailed, 8k, XT3.",
+imgs = pipeline(prompt="A photo of a corgi in forest, highly detailed, 8k, XT3.",
                     num_inference_steps=1, 
                     num_images_per_prompt = 1,
                         generator = generator,
                         guidance_scale=1.,
                    )[0]
-imgs_noise[0]
+imgs[0]
 ```
-
+[Corgi](!corgi.jpg)
 ### 2-step inference
 We note that a small CFG can be used to enhance the image quality.
 ```python