README.md

metadata

license: creativeml-openrail-m
tags:
  - imagepipeline
  - imagepipeline.io
  - text-to-image
  - ultra-realistic
pinned: false
pipeline_tag: text-to-image

Age-Slider

This lora model is uploaded on imagepipeline.io

Model details - Trained and Works best on ObjectiveReality(the most flexible general purpose reality model I’ve tried so far) effects may vary on other models.

Big UPDATE:

Significantly Lower contrasts compared to the last version.

Larger age gap.

I will put only images of adults for the showcase, and STRONGLY condemn the behavior of using this tool in generating NSFW images of minors.

Working range: -5 to +5, or higher depending on your prompting style. But generally recommend -1 to +4, as additional applied weight would slightly change the images. I do not take any responsibility if you choose to go below -1.

negative for younger

positive for older

The model tend to create NSFW images as the character getting older, but that is fixable with negative prompts. I do not plan to adjust it, as you most likely won’t mind and it is not hard to fix with negative prompt.

Perhaps you can buy me a beer if you enjoy the models and want to help me keep the motivation on what I do😺

https://ko-fi.com/nextmealslider

How to try this model ?

You can try using it locally or send an API call to test the output quality.

Get your API_KEY from imagepipeline.io. No payment required.

Coding in php javascript node etc ? Checkout our documentation

import requests  
import json  
  
url =  "https://imagepipeline.io/sd/text2image/v1/run"  
  
payload = json.dumps({  
"model_id":  "sd1.5",  
"prompt":  "ultra realistic close up portrait ((beautiful pale cyberpunk female with heavy black eyeliner)), blue eyes, shaved side haircut, hyper detail, cinematic lighting, magic neon, dark red city, Canon EOS R3, nikon, f/1.4, ISO 200, 1/160s, 8K, RAW, unedited, symmetrical balance, in-frame, 8K",  
"negative_prompt":  "painting, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs, anime",  
"width":  "512",  
"height":  "512",  
"samples":  "1",  
"num_inference_steps":  "30",  
"safety_checker":  false,   
"guidance_scale":  7.5,  
"multi_lingual":  "no",  
"embeddings":  "", 
"lora_models": "76297d2a-da12-4eb0-884e-d37bbe137573", 
"lora_weights":  "0.5" 
})  
  
headers =  {  
'Content-Type':  'application/json',
'API-Key': 'your_api_key'
}  
  
response = requests.request("POST", url, headers=headers, data=payload)  
  
print(response.text)

}

Get more ready to use MODELS like this for SD 1.5 and SDXL :

API Reference

Generate Image

  https://api.imagepipeline.io/sd/text2image/v1

Headers	Type	Description
API-Key	str	Get your API_KEY from imagepipeline.io
Content-Type	str	application/json - content type of the request body

Parameter	Type	Description
model_id	str	Your base model, find available lists in models page or upload your own
prompt	str	Text Prompt. Check our Prompt Guide for tips
num_inference_steps	int [1-50]	Noise is removed with each step, resulting in a higher-quality image over time. Ideal value 30-50 (without LCM)
guidance_scale	float [1-20]	Higher guidance scale prioritizes text prompt relevance but sacrifices image quality. Ideal value 7.5-12.5
lora_models	str, array	Pass the model_id(s) of LoRA models that can be found in models page
lora_weights	str, array	Strength of the LoRA effect

---

license: creativeml-openrail-m tags:

• imagepipeline
• imagepipeline.io
• text-to-image
• ultra-realistic pinned: false pipeline_tag: text-to-image

---

Feedback

If you have any feedback, please reach out to us at hello@imagepipeline.io

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If you are the original author of this model, please click here to add credits