Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
General
Realistic
Photo
Photorealistic
sinatra
53rt5355iz
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/RealBeauty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/RealBeauty 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/RealBeauty", 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:
- 80efec3b6c7a2e7f0361bd60631b0a3cc90c3ae2bd004c707f7e6de91cd4c3ab
- Size of remote file:
- 3.44 GB
- SHA256:
- 266011d83d537c3e661b44f196e8c6de804818d7fb85498355bf7982659f17ec
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.