import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("hugger666666/nina-2")
prompt = "N1na F4ce"
image = pipe(prompt).images[0]nina 2
Model description
flux-2-nina
Trigger words
You should use N1na F4ce to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-2-trainer.
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