Instructions to use InstantX/FLUX.1-dev-LoRA-Ghibli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InstantX/FLUX.1-dev-LoRA-Ghibli 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("InstantX/FLUX.1-dev-LoRA-Ghibli") prompt = "ghibli style, a boy and a girl looking out of a window with a cat perched on the window sill. There is a bicycle parked in front of them and a plant with flowers to the right side of the image. The wall behind them is visible in the background." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 132 Bytes
a2ec18d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:78bc38015671e2657fc87c7d8956b826611b8e3dd36a5446c09e664755eb9505
size 1666413
|