from diffusers import DiffusionPipeline, LCMScheduler
import torch

model_id = "stabilityai/stable-diffusion-xl-base-1.0"
lcm_lora_id = "latent-consistency/lcm-lora-sdxl"
pipe = DiffusionPipeline.from_pretrained(model_id, variant="fp16")
pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)

pipe.load_lora_weights(lcm_lora_id, adapter_name="lora")
pipe.load_lora_weights("./cutton_doll_lora-xl.safetensors", adapter_name="doll_sdxl")

pipe.set_adapters(["lora", "doll_sdxl"], adapter_weights=[1.0, 1.2])
pipe.to(device="cuda", dtype=torch.float16)

prompt = "a chibi doll, cute"
negative_prompt = "3d render, realistic"

num_images = 9

for i in range(num_images):
    img = pipe(
        prompt=prompt,
        negative_prompt=negative_prompt,
        num_inference_steps=8,
        guidance_scale=1.5,
    ).images[0]
    
    img.save(f"lcm_lora_{i}.png")

Tips:

Don't use refiner

Works great with only 1 text encoder

No style prompt required

No trigger keyword require

Works great with isometric and non-isometric

Works with 0.9 and 1.0

Download model

Weights for this model are available in Safetensors format. Download them in the Files & versions tab.

Changelog

v1: Initial release

PPSharks/cutton_doll_lora-xl

cutton_doll_lora-xl

Need more performance?

Tips:

Download model

Changelog

PPSharks/
cutton_doll_lora-xl