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
Add Diffusers weights
#3
by proxima - opened
Add Diffusers weights converted from checkpoint luna_diffusion_2-2.ckpt in revision 1ff0d240d931dbc803806f5d1aa8083399a3d41f
proxima changed pull request status to closed