qiacheng/stable-diffusion-v1-5-lcm

SD1.5 LDM: https://huggingface.co./runwayml/stable-diffusion-v1-5

SD1.5 LCM-Lora: https://huggingface.co./latent-consistency/lcm-lora-sdv1-5

SD1.5 model fused with LCM Lora, saved using diffusers .save_pretrained()

Sample usage:

import torch
from diffusers import StableDiffusionPipeline

pipe = StableDiffusionPipeline.from_pretrained("qiacheng/stable-diffusion-v1-5-lcm")

prompt = "a cat"

height = 512
width = 512
steps = 6
guidance_scale = 1

output = pipe(prompt=prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=guidance_scale, output_type="pil")