---
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
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- diffusers-training
- lora
inference: true
widget:
- text: >-
    pixel art cryptopunks, human, female, medium skin tone, Big Shades, Crazy
    Hair
  output:
    url: images/example_ccse1jdid.png
- text: >-
    pixel art cryptopunks, human, female, dark skin tone, Tassle Hat, Blue Eye
    Shadow, Purple Lipstick, Earring
  output:
    url: images/example_e9bha5sos.png

---

<!-- This model card has been generated automatically according to the information the training script had access to. You
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# LoRA text2image fine-tuning - SedatAl/Crypto-Punk-LoRa

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

![img_0](./image_0.png)


LoRA for the text encoder was enabled: False.

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


## Intended uses & limitations

#### How to use

```python
# 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]