---
license: apache-2.0
base_model: black-forest-labs/FLUX.1-dev
tags:
- text-to-image
- flux
- flux-diffusers
- lora
- gguf
- typography
- high-definition
inference: false
---

# KielForge-HD 🚀

KielForge-HD is a high-fidelity, high-definition text-to-image typography model built on top of the **FLUX.1 [dev]** architecture. This model represents a direct generation upgrade from the SDXL-based `KielForge-fast`, utilizing a significantly expanded dataset matrix to achieve clean, crisp text rendering alongside complex prompt structures.

The model weights are delivered using highly optimized zero-RAM binary stream layouts, providing compressed structural checkpoints suited for consumer-tier hardware runtimes.

## Model Details

- **Developed by:** kielTech
- **Model Type:** Text-to-Image / Typography Fine-Tune (LoRA / GGUF Layouts)
- **Base Model:** black-forest-labs/FLUX.1-dev
- **Dataset Scale:** 2,000 High-Capacity Ingested Pairs (CSU-JPG/TextAtlas5M CleanTextSynth Subset)
- **Quantization Formats:** 4-bit (`Q4_0`) and 8-bit (`Q8_0`) GGUF layout streams
- **License:** Apache 2.0

## Intent & Usage

This model is explicitly tuned for text integration within high-resolution imagery. It excels at rendering legible characters, structural fonts, and custom text arrangements embedded natively within photographic or stylized scenic compositions.

### Prompting Recommendations
To best trigger the enhanced text capabilities inherited from the underlying TextAtlas structure:
- Emphasize character details by using explicit layout keys like: `"displaying the text: 'YOUR TEXT HERE'"` or `"with text reading..."`.
- State high-fidelity target resolutions directly in the prompt layout (e.g., `"1024x1024"`, `"high-resolution photography"`).

## Quantization Layout Specification

Tensors are processed and arranged directly into the GGUF file layout under standard GGML packing specifications:

| Quantization Type | GGML Type ID | Block Size | Target Use Case | Memory Profile |
| :--- | :--- | :--- | :--- | :--- |
| **Q4_0** | `2` | 32 elements | Maximum compression, ultra-low VRAM setups | Flattened Zero-RAM Stream |
| **Q8_0** | `8` | 32 elements | High production fidelity and text accuracy | Flattened Zero-RAM Stream |

## Repository Tracking

The artifacts for this model run are tracked and published under the production namespace here:
- **Hugging Face ID:** [kiel2/KielForge-HD](https://huggingface.co/kiel2/KielForge-fast/tree/main)