Instructions to use iafacile/LRDY_FACE_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iafacile/LRDY_FACE_v1 with Diffusers:
pip install -U diffusers transformers accelerate
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] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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
Download them in the Files & versions tab.
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