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("tera0711/CHECKPOINT")
prompt = "<lora:guiltyficial_reality-01:0.7>, perfect body, ultra realistic, best quality, 8k uhd, masterpiece, asian beautiful woman, "
image = pipe(prompt).images[0]CHECKPOINT
.png)
- Prompt
- <lora:guiltyficial_reality-01:0.7>, perfect body, ultra realistic, best quality, 8k uhd, masterpiece, asian beautiful woman,
- Negative Prompt
- low quality, worst quality, jpeg artifacts, unrealistic, cartoon, anime, drawing, painting, blurry,
- Prompt
- <lora:guiltyficial_reality-01:0.7>, perfect body, ultra realistic, best quality, 8k uhd, masterpiece, asian beautiful woman,
- Negative Prompt
- low quality, worst quality, jpeg artifacts, unrealistic, cartoon, anime, drawing, painting, blurry,
Download model
Download them in the Files & versions tab.
- Downloads last month
- -
Model tree for tera0711/CHECKPOINT
Base model
stabilityai/stable-diffusion-3.5-large