Text-to-Image
Diffusers
Rust
stable-diffusion
lora
template:sd-lora
city
post apocalyptic
architecture
buildings
building
junk
scrap
Instructions to use e-n-v-y/envy-junkworld-xl-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use e-n-v-y/envy-junkworld-xl-01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("e-n-v-y/envy-junkworld-xl-01") prompt = "junkworld, fantasy, Polar Ice" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Envy Junkworld XL 01

- Prompt
- junkworld, fantasy, Polar Ice

- Prompt
- junkworld, anime style, 1girl, woman, beautiful, cheerful,ghostly fantasy city beyond the beginning of reality

- Prompt
- junkworld, scifi, Arctic Desert

- Prompt
- junkworld, anime style, 1girl, woman, beautiful, noon, scenery, in a Karasu Zoku Great Tree of Life

- Prompt
- junkworld, fantasy, wonderous fantasy city beyond the beginning of reality

- Prompt
- junkworld, noon, architecture, "at the Sparkling Majestic Spire"

- Prompt
- junkworld, anime style, 1boy, man, ruggedly handsome, red light district in a cheerful scifi vertical city at the beginning of the universe, masterpiece

- Prompt
- junkworld, fantasy, Temperate Forest

- Prompt
- junkworld, scifi, power station in a stellar,techno-optimist infra deep red fantasy megacity outside of the multiverse, masterpiece
Model description
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 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-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
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Model tree for e-n-v-y/envy-junkworld-xl-01
Base model
stabilityai/stable-diffusion-xl-base-1.0