I test it work good on creater on Euler a, 6-10 step, cfg 1.2-1.5SDXL-Lightning is a lightning-fast text-to-image generation model. It can generate high-quality 1024px images in a few steps. For more information, please refer to our research paper: <a target="_blank" rel="ugc" href="https://arxiv.org/abs/2402.13929">SDXL-Lightning: Progressive Adversarial Diffusion Distillation</a>. We open-source the model as part of the research.Our models are distilled from <a target="_blank" rel="ugc" href="https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0">stabilityai/stable-diffusion-xl-base-1.0</a>. This repository contains checkpoints for 1-step, 2-step, 4-step, and 8-step distilled models. The generation quality of our 2-step, 4-step, and 8-step model is amazing. Our 1-step model is more experimental.

4step_pony_lightning

sdxl_lightning_8step_lora.safetensors

8step

4step

Lightning: <a target="_blank" rel="ugc" href="https://huggingface.co/ByteDance/SDXL-Lightning">https://huggingface.co/ByteDance/SDXL-Lightning</a> Hyper: <a target="_blank" rel="ugc" href="https://huggingface.co/ByteDance/Hyper-SD">https://huggingface.co/ByteDance/Hyper-SD</a> These are LoRAs designed to generate images with fewer steps. These LoRAs are owned by ByteDance. I have uploaded them, so we can use them for on-site generation. 1) Use a CFG between 1 to 2. 2) Use at least 8 steps. 3) Higher CFG requires more steps. 4) Some models only seem to work with Eular A when using this LoRA. 5) Use SGM Uniform or Trailing for the Scheduler. 6) If you notice weird yellow/green blotches on the image it means you need to either raise your steps or lower your CFG. 7) If you download this LoRA I recommend merging/mixing your checkpoint with this LoRA as it improves performance and can give back control of CFG. 8) CFG doesn't work with this LoRA on the Drawthings app unless you merge/mix your checkpoint with it.

Lightning/Hyper - 8step

<a target="_blank" rel="ugc" href="https://huggingface.co/ByteDance/SDXL-Lightning/blob/main/sdxl_lightning_8step_lora.safetensors">https://huggingface.co/ByteDance/SDXL-Lightning/blob/main/sdxl_lightning_8step_lora.safetensors</a>

Lightning 8step

Hyper 8step

SDXL-Lightning is a lightning-fast text-to-image generation model. It can generate high-quality 1024px images in a few steps. For more information, please refer to our research paper: <a target="_blank" rel="ugc" href="https://arxiv.org/abs/2402.13929">SDXL-Lightning: Progressive Adversarial Diffusion Distillation</a>. We open-source the model as part of the research.Our models are distilled from <a target="_blank" rel="ugc" href="https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0">stabilityai/stable-diffusion-xl-base-1.0</a>. This repository contains checkpoints for 1-step, 2-step, 4-step, and 8-step distilled models. The generation quality of our 2-step, 4-step, and 8-step model is amazing. Our 1-step model is more experimental.

SDXL Lightning LoRAs

SDXL Lightning LoRA

Big Love (Pony3)

Big Love - (SDXL)

Mejikara Scene Style

Big Love

8 Steps

4 Steps

2 Steps

This is the official sdxl lightning 8step lora model. you can use it with many sdxl model but it doesnt work with all of them apparently.

sdxl lightning 8step

v1.0

SDXL-Lightning是一种闪电般快速的文本到图像生成模型。它可以通过几个步骤生成高质量的 1024px图像。有关更多信息，请参阅我们的研究论文：<a target="_blank" rel="nofollow"href="https://arxiv.org/abs/2402.13929">SDXL-Lightning：渐进式对抗扩散蒸馏</a>。我们的模型是从&nbsp;<a target="_blank" rel="nofollow"href="https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0">stabilityai/stable-diffusion-xl-base-1.0</a>&nbsp;中提炼出来的。此存储库包含 1步、2步、4步和 8步蒸馏模型的检查点。我们的 2步、4步和 8步模型的生成质量令人惊叹。我们的一步模型更具实验性。我们提供完整的 UNet和 LoRA检查点。完整的 UNet模型具有最佳质量，而 LoRA模型可以应用于其他基本模型。

字节跳动SDXL-闪电(SDXL-Lightning)LORA

2步、4步、8步LoRA
仅当您使用SDXL基本型号时，才使用LoRA。否则，请使用我们的完整检查点以获得更好的质量。
1.准备自己的基础模型。
2.下载LoRA检查点（）到sdxl_lightning_Nstep_lora.safetensors/ComfyUI/models/loras
3.下载我们的ComfyUILoRA工作流程。https://huggingface.co/ByteDance/SDXL-Lightning/tree/main

8步LORA

Helps brighten and add detail to an image, I use this with Pony Diffusion, CFG scale - 1.5, Steps - 11.

Files with SHA256: 5aa30d94cdf7950a8b53a693682650ee061eddb128c5435a8f88defea73b2ac6