|
--- |
|
tags: |
|
- text-to-image |
|
- stable-diffusion |
|
- lora |
|
- diffusers |
|
- template:sd-lora |
|
widget: |
|
- text: <lora:4lph4bet-next_v040:1> 4lph4bet, typography, serif, simple, regular |
|
output: |
|
url: images/00057-2246810227.png |
|
- text: <lora:4lph4bet-next_v040:1> 4lph4bet, typography, sans, fluid |
|
output: |
|
url: images/00068-2246810230.png |
|
- text: <lora:4lph4bet-next_v040:1> 4lph4bet, typography, serif, round, brush |
|
output: |
|
url: images/00070-2246810228.png |
|
- text: <lora:4lph4bet-next_v040:1> 4lph4bet, typography, serif,bold,playful |
|
output: |
|
url: images/00078-2246810228.png |
|
- text: >- |
|
<lora:4lph4bet-next_v040:1> 4lph4bet, typography, sans, light, geometric, |
|
abstract |
|
output: |
|
url: images/00083-2246810229.png |
|
- text: <lora:4lph4bet-next_v040:1> 4lph4bet, typography, retro, geometric |
|
output: |
|
url: images/00095-2246810228.png |
|
- text: <lora:4lph4bet-next_v040:1> 4lph4bet, typography, retro, (geometric:.5) |
|
output: |
|
url: images/00112-2246810230.png |
|
- text: >- |
|
<lora:4lph4bet-next_v040:1> 4lph4bet, typography, fairy, fantasy, floral, |
|
flower, art nouveau |
|
output: |
|
url: images/00218-3253817665.png |
|
- text: >- |
|
<lora:4lph4bet-next_v040:1> 4lph4bet, typography, brutalist, edgy, sharpy, |
|
boxy |
|
output: |
|
url: images/00236-57461198.png |
|
base_model: runwayml/stable-diffusion-v1-5 |
|
instance_prompt: 4lph4bet, typography |
|
license: cc-by-sa-4.0 |
|
--- |
|
# 4lph4bet-next_v040 Font Generation LoRA |
|
|
|
<Gallery /> |
|
|
|
## 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](https://github.com/414design/4lph4bet_processor/) for post processing and font creating using [Calligraphr](https://www.calligraphr.com/). |
|
|
|
## 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](https://github.com/414design/4lph4bet_processor/) to create a ready-to-use template for [Calligraphr](https://www.calligraphr.com/). Before running the script it is recommended to upscale the font grid to 4096 by 4096 pixels. |
|
|
|
Using [stable-diffusion-webui-vectorstudio](https://github.com/GeorgLegato/stable-diffusion-webui-vectorstudio) for [stable-diffusion-webui](https://github.com/AUTOMATIC1111/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](/414design/4lph4bet-next_v040/tree/main) them in the Files & versions tab. |
|
|
