Update README.md

README.md

@@ -2,7 +2,6 @@
 library_name: diffusers
 base_model: stabilityai/stable-diffusion-xl-base-1.0
 tags:
-- lora
 - text-to-image
 license: openrail++
 inference: false
@@ -31,7 +30,7 @@ pip install --upgrade diffusers transformers accelerate peft
 
 ### Text-to-Image
 
-The adapter can be loaded with it's base model `stabilityai/stable-diffusion-xl-base-1.0`. Next, the scheduler needs to be changed to [`LCMScheduler`](https://huggingface.co/docs/diffusers/v0.22.3/en/api/schedulers/lcm#diffusers.LCMScheduler) and we can reduce the number of inference steps to just 2 to 8 steps.
+The model can be loaded with it's base pipeline `stabilityai/stable-diffusion-xl-base-1.0`. Next, the scheduler needs to be changed to [`LCMScheduler`](https://huggingface.co/docs/diffusers/v0.22.3/en/api/schedulers/lcm#diffusers.LCMScheduler) and we can reduce the number of inference steps to just 2 to 8 steps.
 Please make sure to either disable `guidance_scale` or use values between 1.0 and 2.0.
 
 ```python
@@ -41,7 +40,7 @@ unet = UNet2DConditionModel.from_pretrained("latent-consistency/lcm-sdxl", torch
 pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", unet=unet, torch_dtype=torch.float16, variant="fp16")
 
 pipe.scheduler = LCMScheduler.from_config(sd_pipe.scheduler.config)
-pipe.set_progress_bar_config(disable=None)
+pipe.to("cuda")
 
 prompt = "a red car standing on the side of the street"