Instructions to use fffiloni/sweet-brush with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fffiloni/sweet-brush with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("fffiloni/sweet-brush") prompt = "a coi fish. in the style of TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#9
by fffiloni - opened
Generated example for model fffiloni/sweet-brush.
Prompt: a picturesque village nestled amidst rolling hills and colorful meadows. We see quaint houses with smoke curling from chimneys and children playing in the streets.. in the style of TOK
fffiloni changed pull request status to merged