import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("rorito/faceDetailer")
prompt = "face-detailer Ultra-detailed close-up portrait of a beautiful woman mid-laugh, golden short pixie cut, sun-kissed fair skin with skin imperfections and freckles, soft shadows contouring her round face, piercing green eyes squinting in joy, expressive light wrinkles around the eyes, photorealistic style, face tilted slightly to the left, minimal background, visible skin pores, facial hair detail, <lora:face-detailer:1>"
image = pipe(prompt).images[0]faceDetailer
- Prompt
- face-detailer Ultra-detailed close-up portrait of a beautiful woman mid-laugh, golden short pixie cut, sun-kissed fair skin with skin imperfections and freckles, soft shadows contouring her round face, piercing green eyes squinting in joy, expressive light wrinkles around the eyes, photorealistic style, face tilted slightly to the left, minimal background, visible skin pores, facial hair detail, <lora:face-detailer:1>
Trigger words
You should use face-detailer to trigger the image generation.
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Base model
black-forest-labs/FLUX.1-dev