Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
General
Art
Beauty
Guizmus
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/SomethingBeautiful with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/SomethingBeautiful 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/SomethingBeautiful", 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:
- e881082b45e7b9e44cd40233a78b708244abf34a34088e9ec04e70b998c82185
- Size of remote file:
- 335 MB
- SHA256:
- d221c792fad68fc6face87182d16fa7673e1a7b03dcf7577ce533de050122396
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.