metadata
license: other
license_name: bespoke-lora-trained-license
license_link: >-
https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- concept
- melting
- drip
- dripping
- melt
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: evangmelt
widget:
- text: ' '
output:
url: 25167157.jpeg
- text: ' '
output:
url: 25167468.jpeg
- text: ' '
output:
url: 25125830.jpeg
- text: ' '
output:
url: 25125829.jpeg
drippy melt
- Prompt
- Prompt
- Prompt
- Prompt
Model description
my first attempt at making a dripping art style
Trigger words
You should use evangmelt, Drippy34 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
pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/drippy-melt', weight_name='melting_drip.safetensors')
image = pipeline('`evangmelt`, `Drippy34`').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers