Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
painterly
painting
Instructions to use proximasanfinetuning/luna-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use proximasanfinetuning/luna-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("proximasanfinetuning/luna-diffusion", 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:
- e0c25b46cce34c7e056f96201ddb095b9168c0b3fc013ef87def78d5676e2ba7
- Size of remote file:
- 492 MB
- SHA256:
- 9529f6241ca400883a3ea04df714774187f067106487e98cde82f0a62aaabb82
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