Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General purpose
3D
Person
Colorful
Stylized
Artstyle
Patchmonk
sadxzero
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Luminous with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Luminous 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/Luminous", 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:
- 31f4da31e3bdc30a06394fdc72c01be78c9d52e5909edfad15e75a7ba05aaacb
- Size of remote file:
- 2.55 GB
- SHA256:
- fcc476ca9a5c6d28dd9f18c265edd6b41a09928d66ea58ce6cdd4b6053fb364d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.