Excels at both types of CLIP prompting. Be it maximalist OpenAI style prompts or minimalist story driven LAION prompts (written in a more natural language without constant commas).

Great lighting and shines with easy short prompts and aggressive (but short) negative prompts.

Very low risk of burned generations even on higher CFG - recommend 5.5-15

Responds amazingly to hires.fix with just a scaling of 1.0-1.5 and beyond. I like doing it with no scaling at all, but just letting it run through with a sharp upscaler and less steps. If you have the VRAM for it, push the scaling higher, go nuts!

Favorite resolution ranges are 768x1344 and 1024x1296. Works good for landscapes on even bigger resolutions. Also works with anamorphic lenses in resolutions of 1920x816 or the likes. Test what works best for you.

DPM+ 3M SDE Karras recommended but always test your favorite!

All the img2img modes work really well and balancing a low CFG with a higher-than-average Denoising Strength will produce a sharp and clear upscale full of interesting details, using regular SD upscale. I wonder what you can do with Ultimate SD upscale?

Likes Clip Skip 1-4. I frequently use 2.

Knows about some celebrities - good LoRA base!

Use with ToMe (token merging) in A1111 (I'm sure it's implemented in Comfy as well) for a much faster SDXL generation time - changes seeds though!

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

python

import requests  
import json  
  
url =  "https://imagepipeline.io/sdxl/text2image/v1/run"  
  
payload = json.dumps({  
"model_id":  "48fe63ec-594a-4cfb-804c-dacc692cff5c",  
"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

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

🔗 Visit Website

portfolio

If you are the original author of this model, please click here to add credits

imagepipeline/Realities-Edge-XL

Realities-Edge-XL

How to try this model ?

API Reference

Generate Image

Feedback

🔗 Visit Website

imagepipeline/
Realities-Edge-XL