Zavy-Chroma-XL-v3

Zavy-Chroma-XL-v3

<img src="https://f005.backblazeb2.com/file/imageai-model-images/zavychroma-xl-v3.jpeg" alt="Generated by Image Pipeline" style="border-radius: 10px;">

This checkpoint model is uploaded on imagepipeline.io

Model details - Recommended positive prompts: photorealistic, Fujifilm XT3, or other photography related tokens.

Recommended negative prompts: low quality, worst quality, lowres, monochrome, and all the anatomy related tokens you can think of.

You are further encouraged to include additional specific details regarding the desired output. This should involve specifying the preferred style, camera angle, lighting techniques, poses, color schemes, and other relevant factors

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":  "4891daf2-0edc-4c7b-9345-be68ac3ddc81",  
"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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