How to use from the
Use from the
Diffusers library
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("bep40/oanh")

prompt = "oanh"
image = pipe(prompt).images[0]

oanh

Prompt
oanh

Trigger words

You should use oanh to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Downloads last month
2
Inference Providers NEW
Examples

Model tree for bep40/oanh

Adapter
(36848)
this model

Spaces using bep40/oanh 2