import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("nrx83/x_LoRa")
prompt = "-"
image = pipe(prompt).images[0]Wan
- Prompt
- -
Model description
wan LoRa for NSFW
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Wan-AI/Wan2.2-I2V-A14B