liamhvn / van-gogh-diffusion

Van Gogh Diffusion API Inference

Get API Key

Get API key from Stable Diffusion API , No Payment needed.

Replace Key in below code, change model_id to "van-gogh-diffusion"

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Try model for free: Generate Images

Model link: View model

Credits: View credits

View all models: View Models

import requests  
import json  
  
url =  "https://stablediffusionapi.com/api/v4/dreambooth"  
  
payload = json.dumps({  
"key":  "your_api_key",  
"model_id":  "van-gogh-diffusion",  
"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":  "no",  
"enhance_prompt":  "yes",  
"seed":  None,  
"guidance_scale":  7.5,  
"multi_lingual":  "no",  
"panorama":  "no",  
"self_attention":  "no",  
"upscale":  "no",  
"embeddings":  "embeddings_model_id",  
"lora":  "lora_model_id",  
"webhook":  None,  
"track_id":  None  
})  
  
headers =  {  
'Content-Type':  'application/json'  
}  
  
response = requests.request("POST", url, headers=headers, data=payload)  
  
print(response.text)

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