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:
- f4bcee665ec7efbed5b7a00851325ef562748985905132841d174c88b1480e79
- Size of remote file:
- 71.5 kB
- SHA256:
- 7ca99929ab2ee855b97a8dd7a6439b23776da5cad6126c2296f56cebadf7766e
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