---
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
- city
- post apocalyptic
- architecture
- buildings
- building
- rust
- junk
- scrap
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: junkworld
widget:
- text: 'junkworld, fantasy, Polar Ice'
output:
url: >-
4606587.jpeg
- text: 'junkworld, anime style, 1girl, woman, beautiful, cheerful,ghostly fantasy city beyond the beginning of reality'
output:
url: >-
4606596.jpeg
- text: 'junkworld, scifi, Arctic Desert'
output:
url: >-
4606568.jpeg
- text: 'junkworld, anime style, 1girl, woman, beautiful, noon, scenery, in a Karasu Zoku Great Tree of Life'
output:
url: >-
4606563.jpeg
- text: 'junkworld, fantasy, wonderous fantasy city beyond the beginning of reality'
output:
url: >-
4606564.jpeg
- text: 'junkworld, noon, architecture, "at the Sparkling Majestic Spire"'
output:
url: >-
4606565.jpeg
- text: 'junkworld, anime style, 1boy, man, ruggedly handsome, red light district in a cheerful scifi vertical city at the beginning of the universe, masterpiece'
output:
url: >-
4606566.jpeg
- text: 'junkworld, fantasy, Temperate Forest'
output:
url: >-
4606589.jpeg
- text: 'junkworld, scifi, power station in a stellar,techno-optimist infra deep red fantasy megacity outside of the multiverse, masterpiece'
output:
url: >-
4606571.jpeg
---
# Envy Junkworld XL 01
This architectural style LoRA turns your generations into a post-apocalyptic world of junk.
## Trigger words You should use `junkworld` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/e-n-v-y/envy-junkworld-xl-01/tree/main) them in the Files & versions tab. ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) ```py 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-junkworld-xl-01', weight_name='EnvyJunkworldXL01.safetensors') image = pipeline('junkworld, scifi, power station in a stellar,techno-optimist infra deep red fantasy megacity outside of the multiverse, masterpiece').images[0] ``` For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)