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

base_model: runwayml/stable-diffusion-v1-5
instance_prompt: 
widget:
- text: ' '
  
  output:
    url: >-
      6746206.jpeg
- text: ' '
  
  output:
    url: >-
      6761010.jpeg
- text: ' '
  
  output:
    url: >-
      6989996.jpeg

---

# Protocal 

<Gallery />





## Model description

<p>This is somewhat a remake of my Kalakaua model from the ground up.</p><p></p><p>Great for creating heroes with a Cell shaded inspired look.</p><p></p><p>The merge option is of the <a target="_blank" rel="ugc" href="https://civitai.com/api/download/models/347413">New LoRa</a> with the previous <a target="_blank" rel="ugc" href="https://civitai.com/models/86618/frankcalico-6000">calico 6000 model,</a> giving it even more emphasis on the sharp edges and cell shading look.</p><p>The training data included a good amount of images of cowboys and samurai with weapons so those would be a good idea to include in the prompt.</p><p>--use words like </p><p>"post apocalyptic" </p><p>"Vagabon" </p><p> "samurai" </p><p>"tactical clothing"</p><p></p><p>for the look and use words like--</p><p>"wide shot" </p><p>"medium shot" </p><p>"upper body torso"</p><p>"full body shot"</p><p>"white background"</p><p>for the view </p><p> would be good to give you that dynamic range of images of close to the character or full body shots.</p><p>Because of how it is merged, you may get a "halo" so you might want to negative prompt something to that effect to reduce that a bit</p>



## Download model

Weights for this model are available in Safetensors format.

[Download](/brushpenbob/protocal/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('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/protocal', weight_name='Protocal.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)