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.）<pre><code> target_prompt: "male person"
 positive_prompt: "male person, very old"
 negative_prompt: "male person, very young"</code></pre>Code used for training: <a target="_blank" rel="ugc" href="https://github.com/SWHL/flux-sliders">https://github.com/SWHL/flux-sliders</a>Use this model:<pre><code>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)</code></pre>Enjoy it!⚠️ Notion:<ul><li>The current model does not support direct use of comfy.</li><li>Since the model has been converted, you need to try the slider scale multiple times to select the range you need.</li><li>ComfyUI will be supported later, so stay tuned.</li></ul>

Age Sliders - FLUX-1.D LoRA

flux-age_sliders_latest_diffusers.safetensors

flux-age_sliders_latest.safetensors

v1.0

Credits by SWHL<a target="_blank" rel="noopener noreferrer nofollow" href="https://civitai.com/models/1242004/age-sliders-flux-1d-lora">https://civitai.com/models/1242004/age-sliders-flux-1d-lora</a>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-slidersUse this model:from datetime import datetimefrom pathlib import Pathimport torchfrom diffusers import FluxPipelinelora_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_stampsave_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

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