---
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
- style
- glow
- rim light
- protodarkglow

base_model: runwayml/stable-diffusion-v1-5
instance_prompt: 
widget:
- text: ' '
  
  output:
    url: >-
      6229263.jpeg
- text: ' '
  
  output:
    url: >-
      6229429.jpeg
- text: ' '
  
  output:
    url: >-
      6244384.jpeg

---

# ProtoDarkGlow 

<Gallery />





## Model description

<p>Originally I retrained a data set for a model that was exclusive to DiffusionBee (you can find that "darkglowstyle" model along with a few others here <a target="_blank" rel="ugc" href="https://huggingface.co/brushpenbob/DiffusionBee/tree/main">https://</a><a target="_blank" rel="ugc" href="http://huggingface.co/brushpenbob/DiffusionBee/tree/main">huggingface.co/brushpenbob/DiffusionBee/tree/main</a> but again that file format is unique to DiffusionBee) this is a LoRa created with the same Data set in CivitAI, - see walkthrough video below.</p><p>It can be a bit heavy handed so you can have some leniency with weight. in my demo im ising a weight of 1 but a little trial and error you might find what works best for your needs</p><p>Using SD 1.5 as its base and a series of glowing / bio luminescent style art it was trained to give your image that bit of glow its missing</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/protodarkglow/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/protodarkglow', weight_name='ProtoDarkGlow.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)