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1from diffusers import StableDiffusionXLPipeline, UNet2DConditionModel
2import torch
3
4# load pipeline
5model_id = "stabilityai/stable-diffusion-xl-base-1.0"
6pipe = StableDiffusionXLPipeline.from_pretrained(model_id, torch_dtype=torch.float16, variant="fp16", use_safetensors=True).to("cuda")
7
8# load finetuned model
9unet_id = "Grantedkitty073/dpo-sdxl-text2image-v1"
10unet = UNet2DConditionModel.from_pretrained(unet_id, subfolder="unet", torch_dtype=torch.float16)
11pipe.unet = unet
12pipe = pipe.to("cuda")
13
14prompt = "Cute little dog with human body"
15image = pipe(prompt, guidance_scale=5).images[0].resize((512,512))
16
17image.save("cutelitledog.png")