test.py

from diffusers import StableDiffusionXLAdapterPipeline, T2IAdapter, EulerAncestralDiscreteScheduler, AutoencoderKL
from diffusers.utils import load_image, make_image_grid
from controlnet_aux.lineart import LineartDetector
import torch

if __name__ == '__main__':
    # load adapter
    adapter = T2IAdapter.from_pretrained(
      "TencentARC/t2i-adapter-lineart-sdxl-1.0", torch_dtype=torch.float16, varient="fp16"
    ).to("cuda")
    
    # load euler_a scheduler
    model_id = 'stabilityai/stable-diffusion-xl-base-1.0'
    euler_a = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
    vae=AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
    pipe = StableDiffusionXLAdapterPipeline.from_pretrained(
        model_id, vae=vae, adapter=adapter, scheduler=euler_a, torch_dtype=torch.float16, variant="fp16", 
    ).to("cuda")
    pipe.enable_xformers_memory_efficient_attention()
    
    line_detector = LineartDetector.from_pretrained("lllyasviel/Annotators").to("cuda")
    
    url = "https://huggingface.co/Adapter/t2iadapter/resolve/main/figs_SDXLV1.0/org_lin.jpg"
    image = load_image(url)
    image = line_detector(
        image, detect_resolution=384, image_resolution=1024
    )
    
    prompt = "Ice dragon roar, 4k photo"
    negative_prompt = "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured"
    gen_images = pipe(
        prompt=prompt,
        negative_prompt=negative_prompt,
        image=image,
        num_inference_steps=30,
        adapter_conditioning_scale=0.8,
        guidance_scale=7.5, 
    ).images[0]
    gen_images.save('out_lin.png')