Modelpublic

imagepipeline/RunDiffusion-XL

sourceHugging Facecreativeml-openrail-mupdated 3y agoView on Hugging Face

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Model Card

RunDiffusion-XL

This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)

Model details - Strengths

More photorealistic for animals, cars, and people.

Different Model, different generations. Try it with your favorite prompt!

Better portraits. SDXL likes to put the subject way far out. This brings things closer.

Eyes and hands are a bit better (from our testing)

Better prompt control. Make sure to use commas and break apart subjects and styles!

Weaknesses

Still a few concepts that are "plastic" (Food, but please test your prompts and let us know!)

Can sometimes be too "person bias"

Creativity is a little bit hindered. This could be considered a "Photorealistic" model. But again, TEST!

Bias towards "sports cars" lol

Notice the RDXL follows the prompt a bit better. When asking for "upper body" it tends to follow that.

How to Use

Prompt as usual. Use commas to separate subjects and styles. If you aren't getting what you want, use the token again. e.g. iron man made of lava, suit of armor infused with molten lava, ...etc if you don't get Iron Man in your generation, then put that token somewhere else, iron man made of lava, suit of armor infused with molten lava, marvel iron man super hero ...etc

Use the standard refiner or the 1.0-0.9 refiner.

![Try this model](https://imagepipeline.io/models/RunDiffusion-XL?id=372f1620-2665-46fa-985d-c68b41d0f6da/)

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](https://docs.imagepipeline.io/docs/introduction)

python

import requests  
import json  
  
url =  "https://imagepipeline.io/sdxl/text2image/v1/run"  
  
payload = json.dumps({  
"model_id":  "372f1620-2665-46fa-985d-c68b41d0f6da",  
"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 :

![All models](https://imagepipeline.io/models)

API Reference

Generate Image

http

  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

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

🔗 Visit Website

![portfolio](https://imagepipeline.io/)

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