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---
library_name: peft
tags:
- lora
---
```py
from diffusers import LCMScheduler, DiffusionPipeline
import torch
import PIL.Image
import requests
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16, variant="fp16")
pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
# load and fuse lcm lora
pipe.load_lora_weights("latent-consistency/lcm-lora-sdv1-5")
pipe.fuse_lora()
pipe.to(device="cuda")
prompt = "a red Porsche"
torch.manual_seed(0)
# make sure to use `guidance_scale=1.0` to disable CFG
image = pipe(prompt=prompt, num_inference_steps=4, guidance_scale=1.0).images[0]
``` |