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:
- 7cd183daa7a7d42aad7adc2c0054cd3fd63a039d8c15cc20bc7bb4efbd0ca2c5
- Size of remote file:
- 8.81 MB
- SHA256:
- 15c80e67dae547d9143e3b449f90ec882091ff7f8bed926ff2191a57e1feb0f6
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