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", torch_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 Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 840d5d2098ad39e97c20783b8c606f907d5612bfc205986604324f33a53586ac
- Size of remote file:
- 39.3 kB
- SHA256:
- d37d29a6cf36f24d007db53b56cd3cb731a53fb67cb6e13672740eea023bd35c
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