Update README.md

README.md

@@ -46,16 +46,34 @@ The exact dependencies is got using `pip freeze` and can be found in `exact_requ
 
 Check our jupyter notebooks with examples in `./examples` folder
 
-### 1. text2image
+### Text-2-Image
 
 ```python
-from diffusers import KandinskyV3Pipeline
-import torch
+from diffusers import AutoPipelineForText2Image
 
-pipe = KandinskyV3Img2ImgPipeline.from_pretrained('kandinsky-community/kandinsky-3', torch_dtype=torch.float16)
-pipe = pipe.to('cuda')
+pipe = AutoPipelineForText2Image.from_pretrained("kandinsky-community/kandinsky-3", variant="fp16", torch_dtype=torch.float16)
+pipe.enable_model_cpu_offload()
+        
+prompt = "A photograph of the inside of a subway train. There are raccoons sitting on the seats. One of them is reading a newspaper. The window shows the city in the background."
 
-image = pipe("A cute corgi lives in a house made out of sushi.")
+generator = torch.Generator(device="cpu").manual_seed(0)
+image = pipe(prompt, num_inference_steps=25, generator=generator).images[0]
+```
+
+### Image-2-Image
+
+```python
+from diffusers import AutoPipelineForImage2Image
+from diffusers.utils import load_image
+
+pipe = AutoPipelineForImage2Image.from_pretrained("kandinsky-community/kandinsky-3", variant="fp16", torch_dtype=torch.float16)
+pipe.enable_model_cpu_offload()
+        
+prompt = "A painting of the inside of a subway train with tiny raccoons."
+image = load_image("https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/kandinsky3/t2i.png")
+
+generator = torch.Generator(device="cpu").manual_seed(0)
+image = pipe(prompt, image=image, strength=0.75, num_inference_steps=25, generator=generator).images[0]
 ```
 
 ## Examples of generations