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:
- 058516db640467ff0d6d179fa58a0da021aef75edbed46bbcf1420bf03c640f4
- Size of remote file:
- 3.31 kB
- SHA256:
- 40d479c10e05dc6d37ad30b66a6f6f7f074d8ff8948b04c206208c72d5e22a0c
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