import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("iafacile/LRDY_FACE_v1")
prompt = "-"
image = pipe(prompt).images[0]YAML Metadata Error:"base_model" is not allowed to be empty
LRDY_FACE_v1
- Prompt
- -
Model description
A custom SDXL LoRA trained on 38 images of LRDY to capture facial identity, skin tone, and expression consistency. Optimized for portrait, lifestyle, and cinematic shots. Trigger word: lrdyface (optional).
Trigger words
You should use lrdy to trigger the image generation.
You should use LRDY to trigger the image generation.
You should use lrdy to trigger the image generation.
You should use LORDY to trigger the image generation.
You should use lrdyface to trigger the image generation.
Download model
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