🚀 Flux Ghibsky Illustration: Create Serene and Enchanting Landscapes
The Flux Ghibsky Illustration model is designed to generate captivating landscapes. It combines serene and surreal skies with intricate details inspired by Ghibli. This unique style captures the essence of Ghibli's whimsy and Makoto Shinkai's atmospheric beauty, making it perfect for creating dreamy visuals. You can also run the model on Replicate and your feedback is highly welcome!
🚀 Quick Start
To start using the model, you can run it on Replicate. Just visit the Replicate Model Page.
✨ Features
- Unique Aesthetic: Generate landscapes that blend serene skies with Ghibli - inspired details.
- Easy to Use: Use the trigger word
GHIBSKY style
to invoke the model's unique aesthetic.
- Run on Replicate: You can conveniently run the model on Replicate.
💻 Usage Examples
Basic Usage
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('aleksa-codes/flux-ghibsky-illustration', weight_name='lora.safetensors')
image = pipeline('GHIBSKY style, a serene lakeside village with colorful houses and towering mountains under a dreamy sky').images[0]
Advanced Usage
For more details, including weighting, merging, and fusing LoRAs, check the documentation on loading LoRAs in diffusers.
📚 Documentation
Trigger Words
Use GHIBSKY style
to invoke the model’s unique aesthetic. It’s best to start your prompt with the trigger word, followed by descriptions of your scene, such as nature, skies, houses, roads, villages, etc.
If you are getting too realistic images, try adding painting
to your prompt, for example: GHIBSKY style painting
.
Training Details
Download Model
Download the *.safetensors LoRA in the Files & versions tab.
Related Tools
If you're training your own LoRA model and need a replacement for LLaVA auto captioning that some LoRA training apps use, try GPT Image Captioner, an open - source tool I created that generates AI - powered descriptions for images. This tool streamlines the auto - captioning process by providing a downloadable zip file with caption .txt files that match your image filenames. It integrates seamlessly with platforms like fal LoRA Trainer and Replicate LoRA Trainer.
The tool now supports Ollama for local inference in addition to OpenAI models, which require your own API key. You can use it as a web app or clone/fork the repository to run it locally. For Ollama integration with the web version, you may need to set up a tunnel like ngrok or allow additional web origins. More information can be found in the project's README.
📄 License
Please adhere to the licensing terms as described here.