---
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
- concept
- tentacles
- old gods

base_model: black-forest-labs/FLUX.1-dev
instance_prompt: but the old gods are rising
widget:
- text: 'Batman is having a bath but the old gods are rising'
  
  output:
    url: >-
      28539276.jpeg
- text: 'A muppet on the Muppet Show but the old gods are rising'
  
  output:
    url: >-
      28539274.jpeg
- text: 'A photo of a Death''s-head hawkmoth but the old gods are rising'
  
  output:
    url: >-
      28542945.jpeg

---

# But the old gods are rising [FLUX] 

<Gallery />



([CivitAI](https://civitai.com/models/735989/but-the-old-gods-are-rising-flux))

## Model description

<p>It's just like your regular prompt "<strong>but the old gods are rising</strong>" in addition</p><p>An attempt to mimic <a rel="ugc" href="https://civitai.com/models/312572/but-the-old-gods-are-rising-sdxl">this SDXL LoRA</a></p>

## Trigger words
You should use `but the old gods are rising` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/Norod78/but-the-old-gods-are-rising-flux/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('Norod78/but-the-old-gods-are-rising-flux', weight_name='But_the_old_gods_are_rising_FLUX-000004.safetensors')
image = pipeline('A photo of a Death's-head hawkmoth but the old gods are rising').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)