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README.md

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+---
+license: creativeml-openrail-m
+tags:
+  - imagepipeline
+  - imagepipeline.io
+  - text-to-image
+  - ultra-realistic
+pinned: false
+pipeline_tag: text-to-image
+
+---
+
+
+## Instant_cumshot
+<img src="https://via.placeholder.com/468x300?text=App+Screenshot+Here" alt="Generated on Image Pipeline" style="border-radius: 10px;">
+
+
+
+**This lora model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
+
+Model details - Load up your generations with this cum fiesta of a LoRA! It seems to work well on whatever checkpoint and subject you're using, including characters from other LoRAs and embeddings, realistic or anime, etc. Checkpoints that already understand nsfw are more flexible but not required.
+
+To create the examples, I mostly started with well-known prompt/model combos from top checkpoints and then added some cumshot keywords at the end to show how the LoRA generalizes to lots of styles.
+
+Save it as a style so you can add some pizazz to whatever you're generating at a moment's notice:
+
+    (taking a cumshot on her face, cum string, ejaculation, cum on face, cum on tits, cumshot:1.2) <lora:cumshot_49:0.4> 
+
+
+
+
+[![Try this model](https://img.shields.io/badge/try_this_model-image_pipeline-BD9319)](https://imagepipeline.io/models/Instant_cumshot?id=9c0b92d6-2624-484a-9ef8-8c989ff6f37e/) 
+
+
+
+
+## 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](https://imagepipeline.io/). No payment required.
+
+
+
+
+
+Coding in `php` `javascript` `node` etc ? Checkout our documentation  
+
+[![documentation](https://img.shields.io/badge/documentation-image_pipeline-blue)](https://docs.imagepipeline.io/docs/introduction) 
+
+
+```python
+import requests  
+import json  
+  
+url =  "https://imagepipeline.io/sd/text2image/v1/run"  
+  
+payload = json.dumps({  
+"model_id":  "sd1.5",  
+"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": "9c0b92d6-2624-484a-9ef8-8c989ff6f37e", 
+"lora_weights":  "0.5" 
+})  
+  
+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](https://img.shields.io/badge/Get%20All%20Models-image_pipeline-BD9319)](https://imagepipeline.io/models) 
+
+### API Reference
+
+#### Generate Image
+
+```http
+  https://api.imagepipeline.io/sd/text2image/v1
+```
+
+| Headers               | Type     | Description                                                                                                        |
+|:----------------------| :------- |:-------------------------------------------------------------------------------------------------------------------|
+| `API-Key`             | `str` | Get your `API_KEY` from  [imagepipeline.io](https://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](https://imagepipeline.io/models) or upload your own|
+| `prompt` | `str` | Text Prompt. Check our [Prompt Guide](https://docs.imagepipeline.io/docs/SD-1.5/docs/extras/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 hello@imagepipeline.io
+
+
+#### 🔗 Visit Website
+[![portfolio](https://img.shields.io/badge/image_pipeline-BD9319?style=for-the-badge&logo=gocd&logoColor=white)](https://imagepipeline.io/)
+
+
+If you are the original author of this model, please [click here](https://airtable.com/apprTaRnJbDJ8ufOx/shr4g7o9B6fWfOlUR) to add credits