Instructions to use Jonjew/GhibliStyleFlux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/GhibliStyleFlux 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("Jonjew/GhibliStyleFlux") prompt = "Woman, Ghibli style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ghibli style Flux

- Prompt
- Woman, Ghibli style

- Prompt
- man, Ghibli style

- Prompt
- Woman, Ghibli style
Model description
FROM https://civitai.com/models/1414930/ghibli-style-flux?modelVersionId=1599234
Trigger Ghibli style
Strength 1.2
Studio Ghibli style
Illustrious version
Img2Img
[Checkpoint: wai nsfw illustrious
Denoise strength: 0.4
CFG: 7
Steps: 40
Sampler: Euler a]
FLUX Version
Img2Img
[Denoise: 0.6
Lora strength: 1.2]
Trigger words
You should use Ghibli style to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Jonjew/GhibliStyleFlux
Base model
black-forest-labs/FLUX.1-dev