Flux Ghibsky Illustration: Create Serene and Enchanting Landscapes
Model Description
The Flux Ghibsky Illustration model generates landscapes that blend serene, surreal skies with intricate, Ghibli-inspired details. This fusion of styles creates enchanting scenes that capture the essence of both Ghibli's whimsical charm and Makoto Shinkai's atmospheric beauty. Perfect for creating dreamy visuals. You can also run the model on Replicate. Feedback is welcome!
Trigger Words
Use GHIBSKY style
to invoke the modelβs unique aesthetic. Itβs 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
- Trained Using: Flux LoRA Fast Training on fal.ai and Flux LoRA Trainer on Replicate
- Number of Images: 35
- Trigger Word:
GHIBSKY
- Auto-captioning: Enabled
- Auto-captioning Prefix:
""
- Auto-captioning Suffix:
", GHIBSKY style"
- Training Steps: 1000
- Learning Rate: 0.0004
- Batch Size: 1
- LoRA Rank: 16
Download Model
Download the *.safetensors LoRA in the Files & versions tab.
Related Tools
If you are training your own LoRA model and want a replacement for LLaVA auto captioning that some of the LoRA training apps use, you can try an open-source tool that I made GPT Image Captioner, a tool designed to generate AI-powered captions for images. This tool simplifies the auto-captioning process, providing a downloadable zip file with captions formatted for training pipelines. It is compatible with tools such as fal LoRA Trainer and Replicate LoRA Trainer, enabling seamless integration into workflows. Users are required to bring their own OpenAI API key for usage.
Use it with the 𧨠diffusers library
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]
For more details, including weighting, merging, and fusing LoRAs, check the documentation on loading LoRAs in diffusers.
License
Please adhere to the licensing terms as described here.
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Model tree for aleksa-codes/flux-ghibsky-illustration
Base model
black-forest-labs/FLUX.1-dev