import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("h94/IP-Adapter-FaceID", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("zz001/001")
prompt = "1"
image = pipe(prompt).images[0]111

- Prompt
- 1
- Negative Prompt
- 1
Model description
111
Trigger words
You should use 11 to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- -
Model tree for zz001/001
Base model
h94/IP-Adapter-FaceID