description: <p>Created this LoRA as a first test of training with FLUX.1-dev - thank you to <a target="_blank" rel="ugc" href="http://fal.ai">fal.ai</a> for providing the compute!<br /><br />Trained with activation token "<strong>ASCII art</strong>" but I recommend using this entire prompt schema for best effect: <strong>ASCII art on a white background, made of letters, numbers, and other symbols, dithering effect,</strong><br /><br />To test this LoRA, I used this workflow. Flux Guidance of 3.5, euler 40 steps, using fp8 unet and clip - <a target="_blank" rel="ugc" href="https://openart.ai/workflows/civet_fine_1/tenofas-v10---flux-with-loras-and-ultimate-sd-upscaler/6Nk4CAvjtty8svBqy83C">Tenofas v1.0 - FLUX with LoRA's and Ultimate SD Upscaler | ComfyUI Workflow (</a><a target="_blank" rel="ugc" href="http://openart.ai">openart.ai</a><a target="_blank" rel="ugc" href="https://openart.ai/workflows/civet_fine_1/tenofas-v10---flux-with-loras-and-ultimate-sd-upscaler/6Nk4CAvjtty8svBqy83C">)</a><br /><br />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.</p>
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modelVersions.description: <p>v1 - trained with <a target="_blank" rel="ugc" href="http://fal.ai">fal.ai</a>'s flux dev lora trainer. Used 12 images, 4e-4 lr, 2500 steps. Settings were picked somewhat at random, as this is my first flux lora, so don't try to read too much into this.</p>
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modelVersions.name: v1.0
modelVersions.publishedAt: 2024-08-15T19:12:47.844Z
modelVersions.trainedWords: ASCII art
name: ASCII Art - FLUX
tags: style ascii ascii art