---
license: creativeml-openrail-m
thumbnail: >-
  https://huggingface.co/wavymulder/ASCII-flux-LoRA/resolve/main/images/ascii%20lora%20comp1.jpg
tags:
- diffusers
- lora
- flux
base_model: black-forest-labs/FLUX.1-dev
---
![Header](https://huggingface.co/wavymulder/ASCII-flux-LoRA/resolve/main/images/ascii%20lora%20comp1.jpg?)

Created this LoRA as a first test of training with FLUX.1-dev - thank you to [fal.ai](https://fal.ai/) for providing the compute!

Trained with activation token `ASCII art` but I recommend using this entire prompt schema for best effect: `ASCII art on a white background, made of letters, numbers, and other symbols, dithering effect,`

To test this LoRA, I used this workflow (not using the Upscale pass). Flux Guidance of 3.5, euler 40 steps, using fp8 unet and clip - [Tenofas v1.0 - FLUX with LoRA's and Ultimate SD Upscaler | ComfyUI Workflow (openart.ai)](https://openart.ai/workflows/civet_fine_1/tenofas-v10---flux-with-loras-and-ultimate-sd-upscaler/6Nk4CAvjtty8svBqy83C)

Obviously, it's not perfect ASCII. I'm still impressed with the performance VS previous test models trained on SDXL and SD1.5. Hit rate can be prompt dependent.

Usage subject to [Flux.1-dev's license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).

Also available on [Civit.ai](https://civitai.com/models/648623?modelVersionId=725667)

![Image](https://huggingface.co/wavymulder/ASCII-flux-LoRA/resolve/main/images/ascii%20lora%20comp2.jpg?)
![Image](https://huggingface.co/wavymulder/ASCII-flux-LoRA/resolve/main/images/ascii%20lora%20comp3.jpg?)