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")
prompt = "N1na F4ce"
image = pipe(prompt).images[0]nina
Model description
The prompt to trigger the model to generate an image.
"N1na F4ce"
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-lora-portrait-trainer.
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