import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("nekonaomi/nainai2")
prompt = "nainai2"
image = pipe(prompt).images[0]Nainai2
Trained on Replicate using:
https://replicate.com/lucataco/sd3.5-fine-tuner/train
Trigger words
You should use nainai2 to trigger the image generation.
Use it with the 🧨 diffusers library
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Base model
stabilityai/stable-diffusion-3.5-large