Instructions to use Muapi/neon-night with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/neon-night with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/neon-night") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- be6355bb8ece00ef864a3c745679c4d4bbe7640932491927692830eb405e3c18
- Size of remote file:
- 229 kB
- SHA256:
- 7db33bc35803753315a5c96a6ffd6b8686a678a03f0fc3c83ef55b53941fba1d
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