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.

Downloads last month
12
Inference Examples
Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for 414design/4lph4bet-next_v040

Adapter
(2349)
this model

Collection including 414design/4lph4bet-next_v040