Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Base Model
Realistic
Style Mix
53rt5355iz
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/BeautyFoolReality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/BeautyFoolReality 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/BeautyFoolReality", 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:
- 4f79fff7baa771426a96fd45183fcbb40f366110ee2ab969634583abc1ee6f22
- Size of remote file:
- 3.44 GB
- SHA256:
- 55ad9c3a0f273ea9d341c04c4044e65363b94c0bf039b88bc47c7bee93a8938c
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