Realistic-Stock-Photo

Realistic-Stock-Photo

<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bc5f608b-035f-4dd1-a3f3-b96643d9dbbf/width=450/00040-2978811877.jpeg" alt="Generated on Image Pipeline" style="border-radius: 10px;">

This checkpoint model is uploaded on imagepipeline.io

Model details - I trained a model and merge it a bit with version 1. I wanted to create a realistic skin texture without that typical glossy skin effect. A good prompt for this model is phone photo of ..... uploaded on snapchat Negative Prompt: (watermark:1.2), (text:1.2), (logo:1.2), (3d render:1.2), drawing, painting, crayon CFG scale is 3-5 for the prompt, minimum resolution is 1024x1024 obviously

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":  "c3b4f858-9c9e-4907-a1f5-f94e28d170ee",  
"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

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license: creativeml-openrail-m tags:

• imagepipeline
• imagepipeline.io
• text-to-image
• ultra-realistic pinned: false pipeline_tag: text-to-image

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