metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - concept
  - fantasy
  - hourglass
  - protoart
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: Hourglass
widget:
  - text: ' '
    output:
      url: 21875300.jpeg
  - text: ' '
    output:
      url: 21874521.jpeg
  - text: ' '
    output:
      url: 21874529.jpeg

Fantasy hourglass

Model description

This is a beta version. Will continue to edit it as i go

Trigger words

You should use Hourglass 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/fantasy-hourglass', weight_name='Fantasy_hourglass-000009.safetensors')
image = pipeline('`Hourglass`').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers