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--- |
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license: creativeml-openrail-m |
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tags: |
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- imagepipeline |
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- imagepipeline.io |
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- text-to-image |
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- ultra-realistic |
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- lora |
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pinned: false |
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pipeline_tag: text-to-image |
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base_model: |
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- black-forest-labs/FLUX.1-dev |
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library_name: diffusers |
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new_version: black-forest-labs/FLUX.1-dev |
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widget: |
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- text: cute 3d kawaii coca cola can dancing, sticker style, pastel background |
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output: |
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url: images/75.png |
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- text: cute kawaii ginger cat playing with a ball of green yarn, pink floor |
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output: |
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url: image/76.png |
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--- |
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## Cute-Kawaii |
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<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;"> |
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**This lora model is uploaded on [imagepipeline.io](https://imagepipeline.io/)** |
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Model details - |
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[](https://imagepipeline.io/models/Cute-Kawaii?id=bf76912d-743d-4e99-9d48-a232e04e237d/) |
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## How to try this model ? |
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You can try using it locally or send an API call to test the output quality. |
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Get your `API_KEY` from [imagepipeline.io](https://imagepipeline.io/). No payment required. |
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Coding in `php` `javascript` `node` etc ? Checkout our documentation |
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[](https://docs.imagepipeline.io/docs/introduction) |
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```python |
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import requests |
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import json |
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url = "https://imagepipeline.io/generate/v3" |
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payload = json.dumps({ |
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"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", |
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"width": "1024", |
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"height": "1024", |
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"samples": "1", |
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"num_inference_steps": "25", |
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"lora_models": ["bf76912d-743d-4e99-9d48-a232e04e237d"], |
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"lora_weights": [1.0] |
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}) |
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headers = { |
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'Content-Type': 'application/json', |
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'API-Key': 'your_api_key' |
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} |
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response = requests.request("POST", url, headers=headers, data=payload) |
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print(response.text) |
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} |
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``` |
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Get more ready to use `MODELS` like this for `SD 1.5` and `SDXL` and `flux` : |
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[](https://imagepipeline.io/models) |
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### API Reference |
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#### Generate Image |
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```http |
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https://api.imagepipeline.io/generate/v3 |
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``` |
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| Headers | Type | Description | |
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|:----------------------| :------- |:-------------------------------------------------------------------------------------------------------------------| |
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| `API-Key` | `str` | Get your `API_KEY` from [imagepipeline.io](https://imagepipeline.io/) | |
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| `Content-Type` | `str` | application/json - content type of the request body | |
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| Parameter | Type | Description | |
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| :-------- | :------- | :------------------------- | |
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| `model_id` | `str` | Your base model, find available lists in [models page](https://imagepipeline.io/models) or upload your own| |
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| `prompt` | `str` | Text Prompt. Check our [Prompt Guide](https://docs.imagepipeline.io/docs/SD-1.5/docs/extras/prompt-guide) for tips | |
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| `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) | |
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| `guidance_scale` | `float [1-20]` | Higher guidance scale prioritizes text prompt relevance but sacrifices image quality. Ideal value 7.5-12.5 | |
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| `lora_models` | `str, array` | Pass the model_id(s) of LoRA models that can be found in models page | |
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| `lora_weights` | `str, array` | Strength of the LoRA effect | |
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--- |
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license: creativeml-openrail-m |
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tags: |
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- imagepipeline |
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- imagepipeline.io |
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- text-to-image |
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- ultra-realistic |
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pinned: false |
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pipeline_tag: text-to-image |
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--- |
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### Feedback |
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If you have any feedback, please reach out to us at hello@imagepipeline.io |
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#### 🔗 Visit Website |
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[](https://imagepipeline.io/) |
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If you are the original author of this model, please [click here](https://airtable.com/apprTaRnJbDJ8ufOx/shr4g7o9B6fWfOlUR) to add credits |
