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4lph4bet-next_v040 Font Generation LoRA

Prompt
<lora:4lph4bet-next_v040:1> 4lph4bet, typography, serif, simple, regular
Prompt
<lora:4lph4bet-next_v040:1> 4lph4bet, typography, sans, fluid
Prompt
<lora:4lph4bet-next_v040:1> 4lph4bet, typography, serif, round, brush
Prompt
<lora:4lph4bet-next_v040:1> 4lph4bet, typography, serif,bold,playful
Prompt
<lora:4lph4bet-next_v040:1> 4lph4bet, typography, sans, light, geometric, abstract
Prompt
<lora:4lph4bet-next_v040:1> 4lph4bet, typography, retro, geometric
Prompt
<lora:4lph4bet-next_v040:1> 4lph4bet, typography, retro, (geometric:.5)
Prompt
<lora:4lph4bet-next_v040:1> 4lph4bet, typography, fairy, fantasy, floral, flower, art nouveau
Prompt
<lora:4lph4bet-next_v040:1> 4lph4bet, typography, brutalist, edgy, sharpy, boxy

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.

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Inference API
Examples
This model can be loaded on Inference API (serverless).

Adapter for

Collection including 414design/4lph4bet-next_v040