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README.md
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@@ -8,7 +8,7 @@ Created this LoRA as a first test of training with FLUX.1-dev - thank you to [fa
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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,`
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To test this LoRA, I used this workflow. 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)
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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.
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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,`
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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)
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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.
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