Instructions to use fffiloni/carbo-800 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fffiloni/carbo-800 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/carbo-800") prompt = "a painting of a woman with red hair wearing a hat. Her eyes are closed and her lips are slightly parted, giving her a peaceful and serene look. The background is a soft, muted color, allowing the woman to stand out in the painting. in the style of TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K