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import torch |
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from diffusers import StableDiffusionXLPipeline, UNet2DConditionModel, EulerDiscreteScheduler |
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from huggingface_hub import hf_hub_download |
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from safetensors.torch import load_file |
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base = "stabilityai/stable-diffusion-xl-base-1.0" |
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repo = "ByteDance/SDXL-Lightning" |
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ckpt = "sdxl_lightning_2step_unet.safetensors" |
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unet = UNet2DConditionModel.from_config(base, subfolder="unet").to("cuda", torch.float16) |
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unet.load_state_dict(load_file(hf_hub_download(repo, ckpt), device="cuda")) |
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pipe = StableDiffusionXLPipeline.from_pretrained(base, unet=unet, torch_dtype=torch.float16, variant="fp16").to("cuda") |
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pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing") |
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pipe_public = pipe |