---
title: HelloWorld XL 6.0 API | ModelsLab | Stable Diffusion Xl AI Model | Model ID: helloworldxl60
description: Discover    HelloWorld XL 6.0 API ModelsLab | AI Model. Advanced AI generation with Model ID: helloworldxl60. Create stunning content using    HelloWorld XL 6.0 - Professional AI tools for developers and creators. Stable Diffusion Xl AI Model
url: https://modelslab.com/models/modelslab/helloworldxl60
canonical: https://modelslab.com/models/modelslab/helloworldxl60
type: product
component: Playground/Endpoint/Index
generated_at: 2026-01-20T08:29:54.697725Z
---

# HelloWorld XL 6.0 API | ModelsLab | Stable Diffusion Xl AI Model | Model ID: helloworldxl60

> Discover    HelloWorld XL 6.0 API ModelsLab | AI Model. Advanced AI generation with Model ID: helloworldxl60. Create stunning content using    HelloWorld XL 6.0 - Professional AI tools for developers and creators. Stable Diffusion Xl AI Model

## Model

### [ - HelloWorld XL 6.0](https://modelslab.com/models/modelslab/helloworldxl60)

**Model ID:** helloworldxl60
**Category:** Stable Diffusion Xl
**Provider:** Modelslab

HelloWorld 6.0 Update - April 20, 2024

Thank you for your patience. I have been job hunting recently, which caused some delays in the HelloWorld updates. Here are the main updates in version 6.0:

HelloWorld 6.0 is an iterative improvement based on version 5.0. Based on my own testing, the realism effect is not significantly different from version 5.0. The main advantage of version 6.0 lies in its broader coverage of concepts in the training set. According to feedback, enhancements have been made in various themes including surrealism, boudoir, group photos, masks, origami, 3D renders, cars, dragons, and maternity photography. Some examples are provided in the illustrations.

HelloWorld 6.0 intentionally includes some low-quality images in the training to enhance the model's response to negative prompts. It is recommended to use the following terms in negative prompts: "low quality, jpeg artifacts, blurry, poorly drawn, ugly, worst quality".

The main body of the HelloWorld 6.0 training set employs GPT4v tagging. For images that GPT4v cannot tag, cogVQA guided by blip2-opt-6.7b is used for tagging. The tagging language style of these multimodal models differs significantly from the traditional WD1.4 tagger. To facilitate more accurate triggering of different concepts in the training set, I have compiled the top 250 high-frequency tagging words from the HelloWorld 6.0 training set. You can view these high-frequency words in this document.

Finally, although SD3 is about to be released, I will still update to HelloWorld XL 7.0, hoping to achieve greater enhancements in version 7.0!

Tags: photorealistic, base model, photo, woman, realistic, real

## Endpoint

### Text to Image Community Model

**Endpoint:** `v6/images/text2img`
**Provider:** Modelslab
**Category:** Image

Generate photorealistic and imaginative images from text prompts with advanced detail, inpainting, and image-to-image translation features, ideal for creatives and marketers.

Per image generation will cost 0.0047$ 
For premium plan image generation will cost 0.00$ i.e Free.

## API Docs

- [API Docs](https://modelslab.com/models/modelslab/helloworldxl60/llms.txt)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-01-20*