metadata
license: other
license_name: bespoke-lora-trained-license
license_link: >-
https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=Sell&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- water
- style
- wet
- droplets
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
widget:
- text: ' w@terdr0p, water droplets on a woman and a shiny metal super-car'
output:
url: 52008558.jpeg
- text: >-
extreme detail, w@terdr0p. water droplets on a man's skin, water droplets
on a wooden fence, non-symmetrical, 35mm
output:
url: 52008004.jpeg
- text: ' w@terdr0p, water droplets on a Lamborghini shiny metal car'
output:
url: 52008336.jpeg
- text: ' water droplets on a poison frog'
output:
url: 52008380.jpeg
- text: ' w@terdr0p, water droplets on the Starship Enterprise from Star Trek, shiny metal hull'
output:
url: 52008409.jpeg
- text: ' w@terdr0p, boudoir style photograph of water droplets on a woman''s belly boud01rstyle'
output:
url: 52008455.jpeg
- text: ' w@terdr0p, water droplets on a can of soda'
output:
url: 52008475.jpeg
- text: ' w@terdr0p, water droplets on a set of (dragonfly wings)'
output:
url: 52008508.jpeg
- text: ' w@terdr0p, water droplets on a woman and a shiny metal super-car'
output:
url: 52008542.jpeg
- text: ' [email protected], boudoir style photograph of water droplets on a woman''s belly boud01rstyle'
output:
url: 52008931.jpeg
- text: ' '
output:
url: 52057450.jpeg
Water Droplets
(CivitAI)
Model description
Add water droplets to anything, anywhere. Works best if specifying an object or surface... wood, metal, dull metal, woman, skin, bug, etc. Use w@terdr0p if stronger application desired. Enjoy!
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('Keltezaa/water-droplets', weight_name='Water_Droplets.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