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
Download images/example_3.png from InstantX/FLUX.1-dev-LoRA-Ghibli: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/InstantX/FLUX.1-dev-LoRA-Ghibli/resolve/main/images/example_3.png
- Command line
-
hf download hf://InstantX/FLUX.1-dev-LoRA-Ghibli/images/example_3.png
-
curl -L -o example_3.png https://huggingface.co/InstantX/FLUX.1-dev-LoRA-Ghibli/resolve/main/images/example_3.png
1.67 MB

- Xet hash:
- e9e21b7ddc079738ae0f88996170769087c61e151341eb70ded4a4d07907a12b
- Size of remote file:
- 1.67 MB
- SHA256:
- 78bc38015671e2657fc87c7d8956b826611b8e3dd36a5446c09e664755eb9505
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.