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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=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- concept
- exploration
- cave
- purz
- flux1.d
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: c4ve
widget:
- text: 'c4v3, a beach with a cave in the middle of it
'
output:
url: >-
33751426.jpeg
- text: 'c4v3,a cave with a small lake in the middle of it surrounded by lush green trees and plants. the lake is still and peaceful reflecting the trees and sky above. a person standing in the middle of a tunnel'
output:
url: >-
33751920.jpeg
- text: 'c4ve, a scary and foggy deep cave'
output:
url: >-
33712624.jpeg
- text: 'c4ve, a scary and foggy deep cave'
output:
url: >-
33712626.jpeg
---
# Cave Exploration
<Gallery />
## Model description
<p>Cave Exploration - LoRA (Flux.1 D)</p><p></p><p>Trained on images of cave exploration, use it to render realistic cave interiors.</p><p></p><p>"c4v3, a dark and foggy cave, opening into a beautiful sunset"</p><p></p><p>Purz</p><p>Website: <a target="_blank" rel="ugc" href="https://www.purz.xyz/">https://www.purz.xyz/</a></p><p>Creative Exploration /w Purz: <a target="_blank" rel="ugc" href="https://www.youtube.com/@PurzBeats">https://www.youtube.com/@PurzBeats</a> </p><p>Patreon: <a target="_blank" rel="ugc" href="https://www.patreon.com/Purz">https://www.patreon.com/Purz</a> </p><p>Twitter/X: <a target="_blank" rel="ugc" href="https://x.com/PurzBeats">https://x.com/PurzBeats</a></p><p>Instagram: <a target="_blank" rel="ugc" href="https://www.instagram.com/purzbeats/">https://www.instagram.com/purzbeats/</a></p>
## Trigger words
You should use `c4ve` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Purz/cave-exploration/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('Purz/cave-exploration', weight_name='purz-cave-exploration.safetensors')
image = pipeline('c4ve, a scary and foggy deep cave').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)
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