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:
- 94003f16ea3ee1551916750e799ceb99cab01433e6b67c64b4ce693bb6d8fd3d
- Size of remote file:
- 492 MB
- SHA256:
- 8e4641af130b7f0d3b811d10a4c5be91c06792ade918d53c5a8f29f9bdae8b6a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.