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Eyght SDXL-Turbo LoRA (300-image fine-tune)

license type task owner

A LoRA adapter fine-tuned on stabilityai/sdxl-turbo from a dataset of ~300 images. Use it to steer SDXL-Turbo toward the style/subject of the training set.

Built, trained, and owned by Eyght. Free Hugging Face model repository.

Model details

Base model stabilityai/sdxl-turbo
Type LoRA adapter (pytorch_lora_weights.safetensors)
Task Text-to-image
Framework diffusers + PEFT
License CreativeML OpenRAIL-M

How to use

from diffusers import AutoPipelineForText2Image
import torch
pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16")
pipe.load_lora_weights("Eyght/my-sdxl-lora-300")
pipe.to("cuda")
pipe("your prompt, highly detailed", num_inference_steps=4, guidance_scale=1.0).images[0].save("out.png")

Training

LoRA fine-tuned on a custom ~300-image dataset. Checkpoints (checkpoint-100..checkpoint-500) and TensorBoard logs are included.

License & attribution

  • CreativeML OpenRAIL-M. Built and owned by Eyght.

Citation

@misc{eyght_sdxl_lora_300,
  title  = {Eyght SDXL-Turbo LoRA: an Eyght fine-tune of SDXL-Turbo},
  author = {Eyght},
  year   = {2026},
  howpublished = {Hugging Face, https://huggingface.co/Eyght}
}

Built by Eyght with the local Eyght Veta studio.

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