Update README.md

correct diffusers use

README.md

@@ -19,7 +19,8 @@ Data: https://huggingface.co/datasets/peter-sushko/RealEdit
 Install diffusers, transformers library:
 
 ```bash
-pip install diffusers accelerate safetensors transformers
+# Install required libraries
+pip install torch==2.7.0 diffusers==0.33.1 transformers==4.51.3 accelerate==1.6.0 pillow==11.2.1
 ```
 
 Download weights adapted for diffusers:
@@ -28,31 +29,24 @@ WEIGHTS
 
 
 ```python
-import PIL
-import requests
 import torch
 from diffusers import StableDiffusionInstructPix2PixPipeline, EulerAncestralDiscreteScheduler
+from PIL import Image
 
 model_id = "peter-sushko/RealEdit"
-pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(model_id, torch_dtype=torch.float16, safety_checker=None)
+pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16,
+    safety_checker=None
+)
 pipe.to("cuda")
 pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
 
-# edit this:
-<!-- url = "https://raw.githubusercontent.com/timothybrooks/instruct-pix2pix/main/imgs/example.jpg"
-def download_image(url):
-    image = PIL.Image.open(requests.get(url, stream=True).raw)
-    image = PIL.ImageOps.exif_transpose(image)
-    image = image.convert("RGB")
-    return image
-#image = download_image(url) 
+image = Image.open("example_imgs/simba.jpg")
+prompt = "give him a crown"
 
-#prompt = "turn him into cyborg"
--->
-
-
-images = pipe(prompt, image=image, num_inference_steps=10, image_guidance_scale=1).images
-images[0]
+result = pipe(prompt, image=image, num_inference_steps=50, image_guidance_scale=2).images[0]
+result.save("output.png")
 ```