Inference

from diffusers import DiffusionPipeline
import torch

pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16)
pipe.to("cuda")
pipe.load_lora_weights("VikramSingh178/sdxl-lora-finetune-product-caption")

prompt = "outer, The Nike x Balenciaga Down Jacket Black, a photography of a black down jacket with a logo on the chest."

image = pipe(prompt, num_inference_steps=45, guidance_scale=7.5).images[0]
image.save("example.png")
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