---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- style

base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: 
widget:
- text: ' '
  
  output:
    url: >-
      9302638.jpeg
- text: ' '
  
  output:
    url: >-
      9302639.jpeg
- text: ' '
  
  output:
    url: >-
      9302637.jpeg

---

# Retro Anime XL 

<Gallery />





## Model description

<p>What's up everybody!</p><p></p><p>I wanted to encompass some anime that I loved from my childhood into this model. This data set is relatively vast. It does include some of my favorites such as ninjascroll vampire hunter d afro samuri and more.</p><p></p><p>I tried to include some examples of environments in the data set, so it's a little bit more flexible. This model is great for bringing back that retro vintage look. If you're looking for a short crisp images, this may not be the model for you if you want some nostalgia, try this one out great for treating people, concept characters and more.</p><div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/QynE0UGQhRs" start="0"></iframe></div>



## Download model

Weights for this model are available in Safetensors format.

[Download](/brushpenbob/retro-anime-xl/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/retro-anime-xl', weight_name='Retro_Anime_XL.safetensors')
image = pipeline('Your custom prompt').images[0]
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)