Instructions to use Eyght/my-sdxl-lora-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Eyght/my-sdxl-lora-300 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Eyght/my-sdxl-lora-300") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Eyght SDXL-Turbo LoRA (300-image fine-tune)
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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Model tree for Eyght/my-sdxl-lora-300
Base model
stabilityai/sdxl-turbo