import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("pmczip/SD1.5_LoRa_Models", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("unmosaic/lv123")
prompt = "-"
image = pipe(prompt).images[0]lv112
- Prompt
- -
Model description
lv123
Trigger words
You should use masterpiece to trigger the image generation.
You should use best quality to trigger the image generation.
You should use detailed to trigger the image generation.
You should use and high quality. CLIP skip 2 is the standard setting for this family. Add the trigger words (vicious smile to trigger the image generation.
You should use vicious look to trigger the image generation.
You should use holding breasts to trigger the image generation.
You should use smoking to trigger the image generation.
You should use from behind to trigger the image generation.
You should use spreading legs to trigger the image generation.
You should use vicious smile to trigger the image generation.
You should use vicious look to trigger the image generation.
You should use holding breasts to trigger the image generation.
You should use smoking to trigger the image generation.
You should use from behind to trigger the image generation.
You should use spreading legs to trigger the image generation.
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Model tree for unmosaic/lv123
Base model
stable-diffusion-v1-5/stable-diffusion-v1-5