---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- character
- royalty
- historical
- king
- sweden
- swedish
- house of vasa
- vasa

base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: GVASA
widget:
- text: 'hyperrealistic portrait photograph of a laughing (gvasa:1.5) dressed in a santa outfit, shot on sony a7, studio lighting'
  output:
    url: >-
      4712224.jpeg
- text: 'The cover of the vintage comic book (titled "THE DANE SLAYER":1.2) features an illustration of GVASA riding a giant white (moose), by michael whelan and gerald brom'
  output:
    url: >-
      4712162.jpeg
- text: 'hyperrealistic action photograph of (GVASA:1.4) Riding public transport, shot on sony a7, 50mm, highly detailed, filmic, soft lighting, insane detail, atmospheric, subsurface skin shading,'
  output:
    url: >-
      4712165.jpeg
- text: 'hyperrealistic action photograph of (GVASA GVASA:1.3) Setting the dinner table, shot on sony a7, 50mm, highly detailed, filmic, soft lighting, insane detail, atmospheric, subsurface skin shading,'
  output:
    url: >-
      4712166.jpeg
- text: 'hyperrealistic action photograph of (GVASA wearing a hat:1.4) walking a corgi in stockholm old town gamla stan, shot on sony a7, 50mm, highly detailed, natural lighting,'
  output:
    url: >-
      4712167.jpeg
- text: 'sven nordqvist style (GVASA:1.3) hiding in a haystack'
  output:
    url: >-
      4712238.jpeg
- text: 'vintage safety matches, (title logo "REFORMATION":1.5), (GVASA:1.3) wearing a hat, "made by gustav vasa"'
  output:
    url: >-
      4712408.jpeg
- text: 'gvasa in a felt puppet world style'
  output:
    url: >-
      4712428.jpeg
- text: 'breathtaking photo of gvasa (gvasa:1.4) dressed as a cyberpunk, urban neon tokyo background at night, long beard and pageboy hair'
  output:
    url: >-
      4712579.jpeg
- text: ' '
  output:
    url: >-
      4713481.jpeg

---

# Gustav Vasa (1496 – 1560) – Historical king of Sweden 

<Gallery />





## Model description

<h3 id="heading-232">Gustav Vasa – Founding Father of the Swedish Nation <strong><span style="color:rgb(250, 176, 5)">✝</span></strong></h3><p><strong>Gustav I</strong> (born Gustav Eriksson of the Vasa noble family, (12 May 1496 – 29 September 1560), commonly känd som <strong>Gustav Vasa</strong>, was King of Sweden från 1523 until his död in 1560. Led Sweden's war för independence against Denmark.</p><p><strong>Triggerword: </strong><u>GVASA</u></p><p>Trained on portrait paintings, engravings and statues – but fully capable of generating photo-like images, illustrations, comic style etcetera. </p><p></p><p><strong>Notes:</strong></p><p>• Biased towards a slightly sideway facing portrait with a black coat.</p><p>• Longer prompt tend to lose some resemblance – you can combat this by increasing the LoRA weight, adding some more weight to the trigger word, or just duplicating the trigger word like so: <strong><em><u>(GVasa GVasa:1.3)</u></em></strong>. You can also add words like "large beard" or "pageboy hair" to see if it helps.</p>

## Trigger words
You should use `GVASA`, `wearing a hat` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/WizWhite/gustav-vasa-1496-1560-historical-king-of-sweden/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('WizWhite/gustav-vasa-1496-1560-historical-king-of-sweden', weight_name='GUSTAV_VASA-000002.safetensors')
image = pipeline('`GVASA`, `wearing a hat`').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)