Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
General
Realistic
Photo
53rt5355iz
iamxenos
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/BeautyFoolRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/BeautyFoolRemix 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/BeautyFoolRemix", 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:
- 4eac33704a4aac2d18c00cd317b5f320e09c42d642b59307a9db2fd48ad181f3
- Size of remote file:
- 2.15 GB
- SHA256:
- 166823a11373052371b46d83b435f4c4e3d7b525ffa677ea077844b8739ba78e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.