diffusers safetensors text-to-image stable-diffusion license:openrail++ autotrain_compatible endpoints_compatible diffusers:StableDiffusionXLPipeline region:us
---
license: openrail++
tags:
- text-to-image
- stable-diffusion
---

This is a copy of the sdxl base (stabilityai/stable-diffusion-xl-base-1.0) with the unet replaced
with the LCM distilled unet (latent-consistency/lcm-sdxl) and scheduler config set to default to the LCM Scheduler.

This makes LCM SDXL run as a standard Diffusion Pipeline

```py
from diffusers import DiffusionPipeline
import torch

pipe = DiffusionPipeline.from_pretrained(
    "Vargol/lcm_sdxl_full_model", variant='fp16', torch_dtype=torch.float16
).to("mps")

prompt = "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k"
generator = torch.manual_seed(0)

image = pipe(
    prompt=prompt, num_inference_steps=4, generator=generator, guidance_scale=8.0
).images[0]

image.save('distilled.png')

```