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---
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
datasets:
- Aedancodes/monet_dataset
widget:
- text: monet, a landscape of a snowy mountain region big clouds
output:
url: images/example_r809dxj86.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_xm434dzxp.png
- text: >-
monet, a landscape of a snowy mountain region big clouds, street lamps with
warm yellow colrs, night
output:
url: images/example_c6adjuo36.png
- text: >-
monet, mountains far back, street lamps shines with warm yellow colors,
black night
output:
url: images/example_dzoc9trs1.png
---
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# 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.
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