Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Base Model
Realistic
Style Mix
QEGo
53rt5355iz
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/QueenOfFools with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/QueenOfFools 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/QueenOfFools", 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:
- 656c92396eb66af98ec3fb0566d14e0819037dc7910eaeea3dc9b5e4edc4a7c5
- Size of remote file:
- 3.36 GB
- SHA256:
- 7d873c90cc6198bd682271d3f1b4dd15190aa0bd7bbdd954ab32c8b1f931a233
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