Credits by SWHL

https://civitai.com/models/1242004/age-sliders-flux-1d-lora

This model is based on the Concept sliders LoRA model trained by FLUX.1D, so that the characters in the generated pictures gradually grow from young to old.

weight: -5.0 to 5.0 （Not limited to this interval, you can try other ranges.）

target_prompt: "male person"

positive_prompt: "male person, very old"

negative_prompt: "male person, very young"

Code used for training: https://github.com/SWHL/flux-sliders

Use this model:

from datetime import datetime

from pathlib import Path

import torch

from diffusers import FluxPipeline

lora_path = "flux-age_sliders_latest.safetensors"

pipe = FluxPipeline.from_pretrained("models/FLUX.1-dev", torch_dtype=torch.bfloat16)

pipe.to("cuda")

pipe.load_lora_weights(lora_path)

time_stamp = datetime.strftime(datetime.now(), "%Y-%m-%d-%H-%M-%S")

save_dir = Path("outputs") / time_stamp

save_dir.mkdir(parents=True, exist_ok=True)

scales = (-5, -2.5, 0, 2.5, 5)

prompt = "male person"

for scale in scales:

out = pipe(

prompt=prompt,

guidance_scale=3.5,

height=512,

width=512,

num_inference_steps=25,

joint_attention_kwargs={"scale": scale * 1 / 16},

generator=torch.Generator().manual_seed(42),

).images[0]

save_img_path = save_dir / f"{time_stamp}_scale_{scale}.jpg"

out.save(save_img_path)

Enjoy it!

⚠️ Notion:

The current model does not support direct use of comfy.

Since the model has been converted, you need to try the slider scale multiple times to select the range you need.

ComfyUI will be supported later, so stay tuned