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---
license: mit
base_model: black-forest-labs/FLUX.2-klein-9B
tags:
- lora
- flux
- flux.2
- flux.2-klein-9b
- image-to-image
- text-to-image
- font
- typography
- atlas
- comfyui
- safetensors
---
# Ref2FontV1 — Contextual LoRA for FLUX.2 Klein 9B
**Ref2FontV1** is a **contextual LoRA** trained for **black-forest-labs/FLUX.2-klein-9B**. It generates **1024×1024 font atlases** from a single reference image, following the same layout as the provided examples.
> Disclaimer: it works **well**, but **not perfectly**. Expect occasional artifacts and minor alignment issues.
## Examples
![Example1_C](https://cdn-uploads.huggingface.co/production/uploads/658814fd586088fd274d8cc1/tV7JpfCWUOWOOwqAGY9WH.png)
![Example2_C](https://cdn-uploads.huggingface.co/production/uploads/658814fd586088fd274d8cc1/S7ae0GOFxIvaUiS9dD4YU.png)
![Example3_C](https://cdn-uploads.huggingface.co/production/uploads/658814fd586088fd274d8cc1/I0IKwF8iI4yJOGCEyzeUV.png)
## Guide
The full usage, installation guide and detailed workflow live in the [GitHub repo](https://github.com/SnJake/Ref2Font):
```
https://github.com/SnJake/Ref2Font
```
## What’s included
- `Ref2FontV1.safetensors` (LoRA weights)
- `Example Workflow/` (ComfyUI workflow with notes inside nodes)
- `Example/` (input images and their atlases)
- Post-processing scripts (`flux_pipeline.py`, `flux_grid_to_ttf.py`, `flux_upscale.py`)
## License
MIT
## ComfyUI setup
### Required models
1) Base model:
```
https://huggingface.co/black-forest-labs/FLUX.2-klein-9B/blob/main/flux-2-klein-9b.safetensors
```
Place in: `ComfyUI/models/diffusion_models`
2) Text encoder (Qwen):
```
https://huggingface.co/Comfy-Org/vae-text-encorder-for-flux-klein-9b/blob/main/split_files/text_encoders/qwen_3_8b.safetensors
```
Place in: `ComfyUI/models/text_encoders`
3) VAE:
```
https://huggingface.co/Comfy-Org/vae-text-encorder-for-flux-klein-9b/blob/main/split_files/vae/flux2-vae.safetensors
```
Place in: `ComfyUI/models/vae`
### LoRA
Download:
```
https://huggingface.co/SnJake/Ref2Font/blob/main/Ref2FontV1.safetensors
```
Place in: `ComfyUI/models/loras`
### Input image rules
- **Strict black & white only** (no gray, no shadows, no volume)
- **1024×1024** exactly
- Follow the examples in `Example/`
## Post-processing: Atlas → TTF
Use the included pipeline script to convert the atlas into a TTF.
### Example command (Windows)
```powershell
python "Flux 2 Klein 9B\flux_pipeline.py" ^
--input "D:\ComfyUI_temp_nckhb_00003_.png" ^
--output-dir "G:\Flux 2 Klein 9B\test" ^
--no-upscale ^
--use-grid ^
--vectorize contours ^
--simplify 0.5 ^
--canvas 1024 ^
--contour-level 0.5 ^
--trace-scale 4 ^
--trace-blur 1.0 ^
--smooth-iters 2 ^
--baseline-mode auto ^
--baseline-quantile 0.9 ^
--baseline-min-pixels 20 ^
--cols 8 ^
--rows 9 ^
--no-auto-invert
```
**Upscaler is optional.** If you want to use `flux_upscale.py`, install PyTorch separately:
```
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
```
## Notes
- The upscaler is optional; you can skip it with `--no-upscale`.
- The optional upscaler is also hosted in this HF repo:
```
https://huggingface.co/SnJake/Ref2Font
```
- If the atlas looks inverted, try removing `--no-auto-invert` or add `--invert`.
- If letters look vertically misaligned, use `--baseline-mode auto`.