Diffusers How to use pmczip/SDXL_Models with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("pmczip/SDXL_Models")
prompt = "Positive: 4im33t3364rd3n, long hair, looking at viewer, light brown hair, long sleeves, navel, brown eyes, jewelry, earrings, midriff, pants, indoors, necklace, sweater, lips, pillow, clothing cutout, window, bed, turtleneck, ring, denim, jeans, high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh, ((photographed by Vogue)), detailed skin texture, (blush:0.5), (goosebumps:0.5), subsurface scattering Negitive: Watermark, Text, censored, deformed, bad anatomy, disfigured, poorly drawn face, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, disconnected head, malformed hands, long neck, mutated hands and fingers, bad hands, missing fingers, cropped, worst quality, low quality, mutation, poorly drawn, huge calf, bad hands, fused hand, missing hand, disappearing arms, disappearing thigh, disappearing calf, disappearing legs, missing fingers, fused fingers, abnormal eye proportion, Abnormal hands, abnormal legs, abnormal feet, abnormal fingers"
image = pipe(prompt).images[0] 
