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
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- Xet hash:
- 85af195585d98669a00f7c4af01b120e206b7e647159f5e92d2051d8396a256d
- Size of remote file:
- 3.05 kB
- SHA256:
- 85fef997ea02149d60abcc2c8849f2899a86480892c5d98194d52a1cdac631aa
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