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README.md

@@ -1,67 +1,73 @@
 ---
 license: creativeml-openrail-m
 tags:
-- stablediffusionapi.com
-- stable-diffusion-api
-- text-to-image
-- ultra-realistic
+  - modelslab.com
+  - stable-diffusion-api
+  - text-to-image
+  - ultra-realistic
 pinned: true
+pipeline_tag: text-to-image
 library_name: diffusers
+widget:
+  - text: a girl wandering through the forest
+    output:
+      url: https://cdn2.stablediffusionapi.com/generations/2035738991692617918.png
 ---
 
 # Protogen x3.4111 API Inference
 
-![generated from stablediffusionapi.com](https://cdn2.stablediffusionapi.com/generations/2035738991692617918.png)
+<Gallery />
+
 ## Get API Key
 
-Get API key from [Stable Diffusion API](http://stablediffusionapi.com/), No Payment needed. 
+Get API key from [ModelsLab API](http://modelslab.com), No Payment needed. 
 
 Replace Key in below code, change **model_id**  to "protogen-x34111"
 
-Coding in PHP/Node/Java etc? Have a look at docs for more code examples: [View docs](https://stablediffusionapi.com/docs)
-
-Try model for free: [Generate Images](https://stablediffusionapi.com/models/protogen-x34111)
+Coding in PHP/Node/Java etc? Have a look at docs for more code examples: [View docs](https://docs.modelslab.com)
 
-Model link: [View model](https://stablediffusionapi.com/models/protogen-x34111)
+Try model for free: [Generate Images](https://modelslab.com/models/protogen-x34111)
 
-Credits: [View credits](https://civitai.com/?query=Protogen%20x3.4111)
+Model link: [View model](https://modelslab.com/models/protogen-x34111)
 
-View all models: [View Models](https://stablediffusionapi.com/models)
+View all models: [View Models](https://modelslab.com/models)
 
-    import requests  
-    import json  
-      
-    url =  "https://stablediffusionapi.com/api/v4/dreambooth"  
-      
-    payload = json.dumps({  
-    "key":  "your_api_key",  
-    "model_id":  "protogen-x34111",  
-    "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)
+```python
+import requests  
+import json  
+  
+url = "https://modelslab.com/api/v6/images/text2img"  
+  
+payload = json.dumps({  
+"key": "your_api_key",  
+"model_id": "protogen-x34111",  
+"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": "",  
+"lora": "",  
+"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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