imagepipeline / RunDiffusion-XL

huggingface.co
Total runs: 8
24-hour runs: 0
7-day runs: 2
30-day runs: 0
Model's Last Updated: December 21 2023
text-to-image

Introduction of RunDiffusion-XL

Model Details of RunDiffusion-XL

RunDiffusion-XL
Generated by Image Pipeline

This checkpoint model is uploaded on 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

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/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

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 [email protected]

🔗 Visit Website

portfolio

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

Runs of imagepipeline RunDiffusion-XL on huggingface.co

8
Total runs
0
24-hour runs
2
3-day runs
2
7-day runs
0
30-day runs

More Information About RunDiffusion-XL huggingface.co Model

More RunDiffusion-XL license Visit here:

https://choosealicense.com/licenses/creativeml-openrail-m

RunDiffusion-XL huggingface.co

RunDiffusion-XL huggingface.co is an AI model on huggingface.co that provides RunDiffusion-XL's model effect (), which can be used instantly with this imagepipeline RunDiffusion-XL model. huggingface.co supports a free trial of the RunDiffusion-XL model, and also provides paid use of the RunDiffusion-XL. Support call RunDiffusion-XL model through api, including Node.js, Python, http.

imagepipeline RunDiffusion-XL online free

RunDiffusion-XL huggingface.co is an online trial and call api platform, which integrates RunDiffusion-XL's modeling effects, including api services, and provides a free online trial of RunDiffusion-XL, you can try RunDiffusion-XL online for free by clicking the link below.

imagepipeline RunDiffusion-XL online free url in huggingface.co:

https://huggingface.co/imagepipeline/RunDiffusion-XL

RunDiffusion-XL install

RunDiffusion-XL is an open source model from GitHub that offers a free installation service, and any user can find RunDiffusion-XL on GitHub to install. At the same time, huggingface.co provides the effect of RunDiffusion-XL install, users can directly use RunDiffusion-XL installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

RunDiffusion-XL install url in huggingface.co:

https://huggingface.co/imagepipeline/RunDiffusion-XL

Url of RunDiffusion-XL

Provider of RunDiffusion-XL huggingface.co

imagepipeline
ORGANIZATIONS

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