imagepipeline
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InteriorDesignSupermix

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-library_name: diffusers
----
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
-<!-- Provide a longer summary of what this model is. -->
-This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
-- **Developed by:** [More Information Needed]
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-- **Model type:** [More Information Needed]
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-### Model Sources [optional]
-<!-- Provide the basic links for the model. -->
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-## Uses
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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-### Recommendations
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-## How to Get Started with the Model
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-## Environmental Impact
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-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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 ---
+license: creativeml-openrail-m
+tags:
+  - imagepipeline
+  - imagepipeline.io
+  - text-to-image
+  - ultra-realistic
+pinned: false
+pipeline_tag: text-to-image
+---
+## Pony-Realism-XL-VAE
+<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c9b5e5bc-3fa6-4523-b2b4-93c3ac6b1111/width=450/tmpxw1y95be.jpeg" alt="Generated on Image Pipeline" style="border-radius: 10px;">
+**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
+Model details - Dimensions: 768*512
+[![Try this model](https://img.shields.io/badge/try_this_model-image_pipeline-BD9319)](https://imagepipeline.io/models/Pony-Realism-XL-VAE?id=e14e4cb6-c2eb-4bf9-a54d-95cfce82dcec/)
+## 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":  "e14e4cb6-c2eb-4bf9-a54d-95cfce82dcec",
+"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` :
+[![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