Update README.md

README.md

@@ -29,7 +29,7 @@ You can use the pipeline like so:
 from diffusers import DiffusionPipeline
 import torch
 
-pipeline = DiffusionPipeline.from_pretrained("Warlord-K/BKSDM-Tiny-125K", torch_dtype=torch.float16)
+pipeline = DiffusionPipeline.from_pretrained("segmind/tiny-sd", torch_dtype=torch.float16)
 prompt = "Portrait of a pretty girl"
 image = pipeline(prompt).images[0]
 image.save("my_image.png")