Instructions to use deboradum/AsanoTakejiFluxLora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deboradum/AsanoTakejiFluxLora 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("deboradum/AsanoTakejiFluxLora") prompt = "A woman in a kimono walking through a bamboo forest in the style of 4S4N0" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
asanotrigger

- Prompt
- A woman in a kimono walking through a bamboo forest in the style of 4S4N0

- Prompt
- A scenic river flowing through a bustling town in the style of 4S4N0

- Prompt
- A temple gate framed by bamboo trees in the style of 4S4N0
Model description
A LoRA trained on about 30 images from the collection of Asano Takeji.
Trigger words
You should use in the style of 4S4N0 to trigger the image generation.
Download model
Weights for this model are available in Safetensors,PyTorch format.
Download them in the Files & versions tab.
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Model tree for deboradum/AsanoTakejiFluxLora
Base model
black-forest-labs/FLUX.1-schnell