Instructions to use rorito/ghiblitest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rorito/ghiblitest 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("rorito/ghiblitest") prompt = "UNICODE\u0000\u0000G\u0000h\u0000i\u0000b\u0000l\u0000i\u0000s\u0000t\u0000y\u0000l\u0000e\u0000,\u0000 \u0000o\u0000u\u0000t\u0000d\u0000o\u0000o\u0000r\u0000s\u0000,\u0000 \u0000w\u0000o\u0000l\u0000f\u0000 \u0000s\u0000t\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000 \u0000o\u0000n\u0000 \u0000r\u0000o\u0000c\u0000k\u0000,\u0000 \u0000f\u0000o\u0000r\u0000e\u0000s\u0000t\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
studio ghibli flux

- Prompt
- UNICODEGhiblistyle, outdoors, wolf standing on rock, forest
Trigger words
You should use Ghiblistyle 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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