4lph4bet-next_v040

4lph4bet-next_v040 Font Generation LoRA

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Model description

4lph4bet-next_v040 Font Generation LoRA

This LoRA was created using a custom dataset to finetune Stable Diffusion 1.5. This LoRA It will generate a grid of 88 characters in a consistent style and can be used for font generation. There is a Script for post processing and font creating using Calligraphr.

Use

Just add the LoRA to the prompt and us the following parameters as a baseline for further iteration:

• Trigger words: 4lph4bet, typography
• Sample steps: 15–35
• CGF-Scale: 5–9

The model is trained on a variety of tokes to be able to specifically generate among other characteristics:

• sans, serif
• light, regular, bold
• italic

It is recommendes to use Hires fix for initial upscaling. Example parameters:

• Upscaler: R-ESRGAN 4x+ Anime6B
• Hires steps: 10
• Denoising strength: 0.2
• Upscale by: 2

Post processing

Use this Python Script to create a ready-to-use template for Calligraphr. Before running the script it is recommended to upscale the font grid to 4096 by 4096 pixels.

Using stable-diffusion-webui-vectorstudio for stable-diffusion-webui the grids can be vectorized directly to speed up use in traditional font creation workflows.

License

This LoRA is provided under a CC BY-SA 4.0 license.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.