imagepipeline/ProtoVision-XL-HighFidelity

ProtoVision-XL-HighFidelity

This checkpoint model is uploaded on imagepipeline.io

Model details - Meet ProtoVision XL! This model is my "Bob Ross" model, a happy accident that happened when I goofed up some merge settings on my DynaVision XL model and stumbled upon some magic.

So what is ProtoVisionXL? At its core it's a custom built version of NightVision XL, which I then pile multiple fabulous LORAs on top of to create a unique look.

Like all of my other models, merges, embeds and tools, ProtoVisionXL is designed to be easy to use and excels with simple prompts, but is very coherent and can build fabulous scenes with exquisite detail.

ProtoVisionXL is a portrait model, it favors showing human subjects. That's not to say you can't get other art styles, creatures, landscapes and objects out of it, as it's still SDXL at its core and is very capable.

WARNING - DO NOT USE SDXL REFINER WITH PROTOVISION XL

The SDXL refiner is incompatible and you will have reduced quality output if you try to use the base model refiner with ProtoVision XL.

Support the creator - https://www.buymeacoffee.com/socalguitarist

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/sdxl/text2image/v1/run"  
  
payload = json.dumps({  
"model_id":  "17f8e59a-b606-4f96-ac48-1d803a101ff5",  
"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": "", 
"lora_weights":  "" 
})  
  
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/sdxl/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

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