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Cute-Kawaii

Text-to-Image
Diffusers
imagepipeline
imagepipeline.io
ultra-realistic
lora
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metadata
license: creativeml-openrail-m
tags:
  - imagepipeline
  - imagepipeline.io
  - text-to-image
  - ultra-realistic
  - lora
pinned: false
pipeline_tag: text-to-image
base_model:
  - black-forest-labs/FLUX.1-dev
library_name: diffusers
new_version: black-forest-labs/FLUX.1-dev
widget:
  - text: cute 3d kawaii coca cola can dancing, sticker style, pastel background
    output:
      url: images/75.png
  - text: cute kawaii ginger cat playing with a ball of green yarn, pink floor
    output:
      url: image/76.png

Cute-Kawaii

Generated on Image Pipeline

This lora model is uploaded on imagepipeline.io

Model details -

Try this model

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

documentation 

import requests  
import json  
  
url =  "https://imagepipeline.io/generate/v3"  
  
payload = json.dumps({  
"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",  
"width":  "1024",  
"height":  "1024",  
"samples":  "1",  
"num_inference_steps":  "25",   
"lora_models": ["bf76912d-743d-4e99-9d48-a232e04e237d"], 
"lora_weights":  [1.0] 
})  
  
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 and flux :

All models

API Reference

Generate Image 

  https://api.imagepipeline.io/generate/v3
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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