Update README.md

README.md

@@ -71,6 +71,7 @@ import torch
 from diffusers import VisualClozePipeline
 from diffusers.utils import load_image
 
+
 # Load in-context images (make sure the paths are correct and accessible)
 image_paths = [
     # in-context examples
@@ -122,20 +123,20 @@ Example with Virtual Try-On:
 import torch
 from diffusers import VisualClozePipeline
 from diffusers.utils import load_image
-from PIL import Image
+
 
 # Load in-context images (make sure the paths are correct and accessible)
 image_paths = [
     # in-context examples
     [
-        load_image('https://github.com/lzyhha/VisualCloze/tree/main/examples/examples/tryon/00700_00.jpg'),
-        load_image('https://github.com/lzyhha/VisualCloze/tree/main/examples/examples/tryon/03673_00.jpg'),
-        load_image('https://github.com/lzyhha/VisualCloze/tree/main/examples/examples/tryon/00700_00_tryon_catvton_0.jpg'),
+        load_image('https://github.com/lzyhha/VisualCloze/raw/main/examples/examples/tryon/00700_00.jpg'),
+        load_image('https://github.com/lzyhha/VisualCloze/raw/main/examples/examples/tryon/03673_00.jpg'),
+        load_image('https://github.com/lzyhha/VisualCloze/raw/main/examples/examples/tryon/00700_00_tryon_catvton_0.jpg'),
     ],
     # query with the target image
     [
-        load_image('https://github.com/lzyhha/VisualCloze/tree/main/examples/examples/tryon/00555_00.jpg'),
-        load_image('https://github.com/lzyhha/VisualCloze/tree/main/examples/examples/tryon/12265_00.jpg'),
+        load_image('https://github.com/lzyhha/VisualCloze/raw/main/examples/examples/tryon/00555_00.jpg'),
+        load_image('https://github.com/lzyhha/VisualCloze/raw/main/examples/examples/tryon/12265_00.jpg'),
         None
     ],
 ]
@@ -153,11 +154,11 @@ image_result = pipe(
     task_prompt=task_prompt,
     content_prompt=content_prompt,
     image=image_paths,
-    height=1632,
-    width=1232,
-    upsampling_strength=0.4,
+    upsampling_height=1632,
+    upsampling_width=1232,
+    upsampling_strength=0.3,
     guidance_scale=30,
-    num_inference_steps=50,
+    num_inference_steps=30,
     max_sequence_length=512,
     generator=torch.Generator("cpu").manual_seed(0)
 ).images[0]