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:
Table with columns: Quantization Type, GGML Type ID, Block Size, Target Use Case, Memory Profile| 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: