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---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- 3d
- retro
- nintendo
- gaming
- style
- 1990s
- artstyle
- videogames
- videogame
- styles
- n64
- nintendo 64
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: N64 artstyle
widget:
- text: ' '
output:
url: >-
2174774.jpeg
- text: ' '
output:
url: >-
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- text: ' '
output:
url: >-
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- text: ' '
output:
url: >-
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- text: ' '
output:
url: >-
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- text: ' '
output:
url: >-
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- text: ' '
output:
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output:
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- text: ' '
output:
url: >-
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---
# Doctor Diffusion's N64 XL LoRA - 218MB & 7MB Versions
<Gallery />
## Model description
<p>Use <strong>N64 artstyle </strong>in prompt. <br /><br />The 100 epochs 218MB XL version I followed <a target="_blank" rel="ugc" href="https://civitai.com/articles/1771/how-to-create-near-perfect-character-and-style-loras-for-sdxl-10-important-update-19082023"><strong><span style="color:rgb(193, 194, 197)">AI_Characters's</span></strong></a> <a target="_blank" rel="ugc" href="https://civitai.com/articles/1771/how-to-create-near-perfect-character-and-style-loras-for-sdxl-10-important-update-19082023">guide on LoRA settings</a> but used a total of 106 images as well as my own artstyle regulation images. <br /><br />The smaller 20 epochs 7MB version was done with experimental settings. Its small size it why it call it a SDSX LoRA.<br /><br />Inspired partially by both <a target="_blank" rel="ugc" href="https://civitai.com/user/veryVANYA/models"><strong><span style="color:rgb(193, 194, 197)">veryVANYA's </span></strong></a><span style="color:rgb(193, 194, 197)">outstanding </span><a target="_blank" rel="ugc" href="https://civitai.com/models/129556/ps1-graphics-sdxl"><span style="color:rgb(193, 194, 197)">PS1 LoRA</span></a><span style="color:rgb(193, 194, 197)"> (you should download and try) and my 90's childhood.</span></p>
## Trigger words
You should use `N64 artstyle` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/DoctorDiffusion/doctor-diffusion-s-n64-xl-lora-218mb-7mb-versions/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('DoctorDiffusion/doctor-diffusion-s-n64-xl-lora-218mb-7mb-versions', weight_name='DD-N64-artstyle-XL-v1.safetensors')
image = pipeline('`N64 artstyle`').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)
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