metadata

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

Prompt
c4v3, a beach with a cave in the middle of it

Prompt
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

Prompt
c4ve, a scary and foggy deep cave

Model description

Cave Exploration - LoRA (Flux.1 D)

Trained on images of cave exploration, use it to render realistic cave interiors.

"c4v3, a dark and foggy cave, opening into a beautiful sunset"

Purz

Website: https://www.purz.xyz/

Creative Exploration /w Purz: https://www.youtube.com/@PurzBeats

Patreon: https://www.patreon.com/Purz

Twitter/X: https://x.com/PurzBeats

Instagram: https://www.instagram.com/purzbeats/

Trigger words

You should use c4ve to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

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