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
This lora model is uploaded on imagepipeline.io
Model details -
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/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
:
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
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