--- license: creativeml-openrail-m tags: - imagepipeline - imagepipeline.io - text-to-image - ultra-realistic - lora pinned: false pipeline_tag: text-to-image base_model: - black-forest-labs/FLUX.1-dev new_version: black-forest-labs/FLUX.1-dev library_name: diffusers widget: - text: a super realism a cute little girl holding a neon board say 'Image pipeline' output: url: images/example_foijvr4ev.png --- ## Flux_Realism_Super_Lora Generated on Image Pipeline **This lora model is uploaded on [imagepipeline.io](https://imagepipeline.io/)** Model details - [![Try this model](https://img.shields.io/badge/try_this_model-image_pipeline-BD9319)](https://imagepipeline.io/models/Flux_Realism_Super_Lora?id=fd8813ee-307a-4ca3-b4b5-e9a480d89069/) ## 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/generate/v3" payload = json.dumps({ "prompt": ""A detailed photograph of a woman with short brunette hair styled in a sleek bob haircut. She is wearing a spaghetti strap, form-fitting sequin dress that shimmers in the light, sipping champagne from a glass at an elegant bar. Her makeup is flawless, featuring glossy lipstick, smoky eyes, and perfect, striking features. The atmosphere is moody and sophisticated, with bluish ambient lighting casting soft shadows and enhancing the glamour of the scene." "width": "1024", "height": "1024", "samples": "1", "num_inference_steps": "20", "lora_models": ["fd8813ee-307a-4ca3-b4b5-e9a480d89069"], "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` and `FLUX`: [![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/generate/v3 ``` | 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