Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General
Base Model
53rt5355iz
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/BeautyFool with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/BeautyFool 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/BeautyFool", 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:
- 1441b7b6536ed0e73024d2971d9f889eb455eff9618ef2b394f07098d4b22c66
- Size of remote file:
- 492 MB
- SHA256:
- 1334eef4e0c1cda644118f15944adfff0c619971b226d7311f1d4f591ca2b0fe
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