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monet-style-LoRa-1

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Diffusers
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monet-style-LoRa-1 / README.md
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metadata
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

LoRA text2image fine-tuning - SedatAl/sd-model-finetuned-lora

These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the Aedancodes/monet_dataset dataset. You can find some example images in the following.

img_0

LoRA for the text encoder was enabled: False.

Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.

Intended uses & limitations

How to use 

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training details

[TODO: describe the data used to train the model]