from diffusers import StableDiffusionPipeline
import torch

pipe = StableDiffusionPipeline.from_pretrained(
    "Catniti/catrex-1.0-image", torch_dtype=torch.float16, safety_checker=None
).to("cuda")

image = pipe(
    "a photo of a young woman with long blonde hair, smiling",
    num_inference_steps=30,
    guidance_scale=7.5,
    height=192, width=192,
).images[0]
image.save("face.png")

Prompt format

Plain English descriptions of a person: gender, age, hair, expression.

a photo of an older man with a grey beard and glasses

Limitations

Trained only on portraits, so it generates faces regardless of the prompt — ask for a landscape and you still get a face. Best results at 192x192; higher resolutions degrade.