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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
new_version: black-forest-labs/FLUX.1-dev
library_name: diffusers
widget:
  - text: >-
      A detailed photograph of a woman with short brunette hair styled in a
      sleek bob haircut. She is wearing a spaghetti strap, form-fitting sequin
      dress that shimmers in the light, sipping champagne from a glass at an
      elegant bar. Her makeup is flawless, featuring glossy lipstick, smoky
      eyes, and perfect, striking features.
    output:
      url: images/ip-realism.png

Flux_Realism_Super_Lora

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":  ""A detailed photograph of a woman with short brunette hair styled in a sleek bob haircut. She is wearing a spaghetti strap, form-fitting sequin dress that shimmers in the light, sipping champagne from a glass at an elegant bar. Her makeup is flawless, featuring glossy lipstick, smoky eyes, and perfect, striking features. The atmosphere is moody and sophisticated, with bluish ambient lighting casting soft shadows and enhancing the glamour of the scene."  
"width":  "1024",  
"height":  "1024",  
"samples":  "1",  
"num_inference_steps":  "20",  
"lora_models": ["fd8813ee-307a-4ca3-b4b5-e9a480d89069"], 
"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 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 [email protected]

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