Instructions to use Nishitbaria/Anime-style-flux-lora-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nishitbaria/Anime-style-flux-lora-Large 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("Nishitbaria/Anime-style-flux-lora-Large") prompt = "an anm young boy sitting under a large sakura tree, wearing traditional festival attire, cherry blossoms gently falling around him, peaceful smile, evening sky with vibrant hues." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#2
by Nishitbaria - opened
Generated example for model Nishitbaria/Anime-style-flux-lora-Large.
Prompt: an anm girl wearing a school uniform, standing beside her bicycle at a rural road, gazing up at the sky, full of hope, morning sunlight and dew-covered grass.
Nishitbaria changed pull request status to merged