Instructions to use DiamanteAmarelo/Liminal-Spaces with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DiamanteAmarelo/Liminal-Spaces with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ByteDance/SDXL-Lightning", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DiamanteAmarelo/Liminal-Spaces") prompt = "backrooms yellow" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("ByteDance/SDXL-Lightning", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("DiamanteAmarelo/Liminal-Spaces")
prompt = "backrooms yellow"
image = pipe(prompt).images[0]Liminal Spaces
.jpg)
- Prompt
- backrooms yellow

- Prompt
- shopping

- Prompt
- space black and white

- Prompt
- backroom

- Prompt
- backrooms kids
.jpg)
- Prompt
- chair
.jpg)
- Prompt
- shop

- Prompt
- pools

- Prompt
- backrooms

- Prompt
- backrooms

- Prompt
- backrooms shop
Model description
Liminal Spaces is the uncertain transition between where you've been and where you're going physically, emotionally, or metaphorically. To be in a liminal space means to be on the precipice of something new but not quite there yet. The word "liminal" comes from the Latin word “limen,” which means threshold.
Trigger words
You should use backrooms to trigger the image generation.
Download model
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Model tree for DiamanteAmarelo/Liminal-Spaces
Base model
ByteDance/SDXL-Lightning