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

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