metadata
license: other
license_name: bespoke-lora-trained-license
license_link: >-
https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Sell&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- anime
- city
- scenery
- style
- flat colors
- woman
- man
- outline
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: null
widget:
- text: >-
scifi, solarpunk, alien, chemist, full body, wearing radiant aqua work
clothes
output:
url: 4010441.jpeg
- text: gargantuan fantasy cloud city beyond the end of time
output:
url: 4010431.jpeg
- text: noon, scenery, in a elite Gnome Hills
output:
url: 4010383.jpeg
- text: noon, scenery, "at the Unfathomable Aeon"
output:
url: 4010392.jpeg
- text: >-
high-end dance club in a pristine fantasy cloud arcology edge of the
universe, masterpiece
output:
url: 4010404.jpeg
- text: >-
scifi, scrapcore, assassin, full body, wearing skin-tight iridescent light
crimson power armor
output:
url: 4010407.jpeg
- text: noon, architecture, rusted Baddie smithy
output:
url: 4010413.jpeg
- text: morning, scenery, "at the Supernatural Megalopolis"
output:
url: 4010415.jpeg
- text: Seagrass Bed
output:
url: 4010416.jpeg
- text: warmly lit interior, in a sticky Scottish highland castle ruins
output:
url: 4010417.jpeg
Envy Stylized XL 01
Model description
A retro, vaporwave-ish, cel shaded anime style.
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('e-n-v-y/envy-stylized-xl-01', weight_name='EnvyStylizedXL01.safetensors')
image = pipeline('warmly lit interior, in a sticky Scottish highland castle ruins').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers