Update README.md

README.md

@@ -38,7 +38,7 @@ pip install diffusers accelerate transformers
 from PIL import Image
 from diffusers import DiffusionPipeline
 
-pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", custom_pipeline="superdiff/superdiff-sdxl-v1-0")
+pipeline = DiffusionPipeline.from_pretrained("superdiff/superdiff-sdxl-v1-0", custom_pipeline='pipeline', trust_remote_code=True)
 output = pipeline("a flamingo", "a candy cane", seed=1, num_inference_steps=200, batch_size=1)
 
 image = Image.fromarray(output[0])
@@ -53,7 +53,7 @@ Arguments that can be set by user in `pipeline()`:
 - `num_inference_steps`[optional: default=200]: number of denoising steps 
 - `batch_size` [optional: default=1]: batch size
 - `guidance_scale` [optional: default=7.5]: scale for classifier-free guidance
-- `height`, `width` [optional: default=512]: height and width of generated images
+- `height`, `width` [optional: default=1024]: height and width of generated images (we recommend leaving it at 1024!)
 
 
 ## Citation