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_1.png from InstantX/FLUX.1-dev-LoRA-Ghibli: direct link, hf CLI and curl.
- Browser
- Download file 1.56 MB
-
https://huggingface.co/InstantX/FLUX.1-dev-LoRA-Ghibli/resolve/main/images/example_1.png
- Command line
-
hf download hf://InstantX/FLUX.1-dev-LoRA-Ghibli/images/example_1.png
-
curl -L -o example_1.png https://huggingface.co/InstantX/FLUX.1-dev-LoRA-Ghibli/resolve/main/images/example_1.png
1.56 MB

- Xet hash:
- 2c06fa04243684ca45a6d8932ac3aba58d7c359a7b746ad4d3314945eebd581c
- Size of remote file:
- 1.56 MB
- SHA256:
- a4f95b4f4fa56e055cba0529c7cab611d03b6195544eec8f441ea125566469d1
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