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
Commit History
-
Rename scheduler/scheduler_config_preserve.json to scheduler/scheduler_config.json
Verified signature4cceedd -
Delete scheduler/scheduler_config.json
Verified signature0baa64b -
Adding `diffusers` weights of this model (#2)
Verified signature- Adding `diffusers` weights of this model (919bec53418533b789c185cce6d4200a0eb86ef6)c3713ac -
Rename scheduler/scheduler_config.json to scheduler/scheduler_config_preserve.json
Verified signature56a660f
-
Update scheduler/scheduler_config.json
Verified signaturea9e84a5 -
Update scheduler/scheduler_config.json
Verified signatureec11d6f -
Adding `diffusers` weights of this model (#1)
Verified signature- Adding `diffusers` weights of this model (df8359251163229b7f4507982e437d6814eb8572)accfa43