Instructions to use stablediffusionapi/lunaris-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/lunaris-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/lunaris-v2", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4bb693496e3752eed3c77bf86f0c45a5cab40baebcfea5f845649fcdfaf6b4ea
- Size of remote file:
- 167 MB
- SHA256:
- 48202083106c39380800ba6d000d7f77922c0ff7f8c11962998337a7520e1a4e
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