SDXL-Lightning 4-step LoRA (unmodified mirror)

This repository contains exactly one adapter checkpoint, copied without changes from ByteDance/SDXL-Lightning. It is a LoRA adapter, not a standalone image-generation model.

Upstream revision: c9a24f48e1c025556787b0c58dd67a091ece2e44.
File: sdxl_lightning_4step_lora.safetensors.
Size: 393854592 bytes.
SHA-256: bf56cf2657efb15e465d81402ed481d1e11c4677e4bcce1bc11fe71ad8506b79.
Base model: stabilityai/stable-diffusion-xl-base-1.0.

Copyright (c) 2024 Bytedance Inc. Copyright (c) 2023 Stability AI. The original CreativeML Open RAIL++-M license and its restrictions are preserved in LICENSE.md. This mirror is not an official ByteDance repository.

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Attach this repository as a LoRA to an SDXL pipeline. For Diffusers:

pipe.load_lora_weights(
    "YOUR_USERNAME/sdxl-lightning-4step-lora",
    weight_name="sdxl_lightning_4step_lora.safetensors",
)
pipe.fuse_lora()

Use 4 inference steps, guidance_scale=0, and EulerDiscreteScheduler with timestep_spacing="trailing" and prediction_type="epsilon". Keep the upstream base-model and adapter license terms.

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