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---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- horror
- dark souls
- concept art
- grimdark
- gothic
- dark fantasy
- style
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Gloomy
widget:
- text: 'gloomy scene from dark fantasy, Maggots crawling from a cracked skull in a crypt'
parameters:
negative_prompt: with acceleration LoRA
output:
url: >-
32835079.jpeg
- text: 'gloomy grimdark fantasy poster. The ghost of wizard whitebeard with a long beard. Glowing ember trail spells out "The Gloom"'
output:
url: >-
32830814.jpeg
- text: 'gloomy dark fantasy movie poster. a messy teenager''s bedroom'
output:
url: >-
32831147.jpeg
- text: 'gloomy dark fantasy batman'
output:
url: >-
32831237.jpeg
- text: 'gloomy dark fantasy movie poster. Cinematic photo of the ghost of wizard whitebeard ,with a long beard. Glowing ember trail spells out "The Gloom"'
output:
url: >-
32831041.jpeg
- text: 'gloomy scene from a dark fantasy buddy-cop tv show featuring police officers from 1970, Cop and partner bonding over their backstories,'
output:
url: >-
32831386.jpeg
- text: 'gloomy scene from dark fantasy, Polaroid pictures revealing ghostly figures'
output:
url: >-
32831574.jpeg
- text: 'gloomy scene from dark fantasy, Breathing heard from under the bed, though no one’s there
'
output:
url: >-
32831902.jpeg
- text: 'gloomy scene from dark fantasy, Rotting flesh peeling away from a still-moving hand
'
output:
url: >-
32832171.jpeg
- text: 'gloomy scene from dark fantasy, Blood dripping from the ceiling of a darkened hallway'
output:
url: >-
32832279.jpeg
- text: 'gloomy scene, A rebel with a futuristic weapon, overlooking a dystopian cityscape.
'
output:
url: >-
32832340.jpeg
- text: 'gloomy scene from dark fantasy, Unseen force yanking someone’s legs from beneath the bed
'
output:
url: >-
32832477.jpeg
- text: 'gloomy scene from dark fantasy, Unseen force dragging someone screaming into the darkness
'
output:
url: >-
32832938.jpeg
---
# Wizard's Grimdark: The Gloom
<Gallery />
([CivitAI](https://civitai.com/models/))
## Model description
<p><strong><span style="color:#868e96">Wizard's Grimdark: </span><span style="color:#fd7e14">The Gloom</span></strong><br />A dark fantasy LoRA trained on video game concept art images, most prominently from the Dark Souls triology. </p><p><span style="color:rgb(193, 194, 197)">Prompt inspiration: </span><code>Gloomy</code><span style="color:rgb(193, 194, 197)">, </span><code>ethereal</code><span style="color:rgb(193, 194, 197)">, </span><code>dark fantasy</code><span style="color:rgb(193, 194, 197)">, </span><code>horror</code><span style="color:rgb(193, 194, 197)">, </span><code>grimdark</code><span style="color:rgb(193, 194, 197)">, </span><code>mist</code><span style="color:rgb(193, 194, 197)">, </span><code>ghastly figure</code><span style="color:rgb(193, 194, 197)">, </span><code>concept art</code></p>
## Trigger words
You should use `Gloomy` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/WizWhite/wizard-s-grimdark-the-gloom/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
device = "cuda" if torch.cuda.is_available() else "cpu"
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('WizWhite/wizard-s-grimdark-the-gloom', weight_name='Wiz-The_Gloom.safetensors')
image = pipeline('gloomy scene from dark fantasy, Unseen force dragging someone screaming into the darkness
').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)