Instructions to use leonel4rd/Animeniji with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leonel4rd/Animeniji 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("leonel4rd/Animeniji") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("leonel4rd/Animeniji")
prompt = "-"
image = pipe(prompt).images[0]AnimenijiFlux

- Prompt
- -
Trigger words
You should use animeniji to trigger the image generation.
You should use anime to trigger the image generation.
You should use niji to trigger the image generation.
You should use 2D flat anime to trigger the image generation.
You should use NijiCreature 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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Model tree for leonel4rd/Animeniji
Base model
black-forest-labs/FLUX.1-dev