---
base_model: stabilityai/stable-diffusion-xl-base-1.0
library_name: diffusers
license: creativeml-openrail-m
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- diffusers-training
- lora
inference: true
widget:
- text: monet,  a landscape of a snowy mountain region big clouds
  output:
    url: images/example_ul824c994.png
- text: >-
    monet, majestic cliffs overlooking a serene ocean, with dramatic rock
    formations bathed in soft light. The cliffs are painted in shades of green,
    ochre, and brown, contrasting with the smooth, flowing waves below,
    capturing the raw, natural beauty of the landscape
  output:
    url: images/example_kuktgiadt.png
- text: >-
    monet,  mountains far back, street lamps shines with warm yellow colors,
    black night
  output:
    url: images/example_k3nlagsga.png

---

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# LoRA text2image fine-tuning

These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the Aedancodes/monet_dataset dataset.


## Training details

```python
resolution=1024*1024
train batch_size = 1
max train steps = 1000
learning rate = 5e-5
lr scheduler = constant
mixed precision = fp16
8bit_adam

```