Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
sadxzero
mooncryptowow
Instructions to use Yntec/LunarLuma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/LunarLuma with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/LunarLuma", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 32e0ade7ca2a93963fc1ad4b7af61b791a1476a3317a9a313be6a22815c28d73
- Size of remote file:
- 167 MB
- SHA256:
- 7b1612d9da36861bb1d478ac4c8a60479733718c19e106d47217702d8b99c37d
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