Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
mooncryptowow
Instructions to use Yntec/Lunar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Lunar 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/Lunar", 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:
- 58622999c843a9e24e0cf68d351380343813cfa363d78c77d1360d29b0c61e9a
- Size of remote file:
- 3.44 GB
- SHA256:
- 46462b02d9b183c0fc7421747154cf4f9dc1c0def61f06cabd2ce9dddea2c8ad
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