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license: creativeml-openrail-m |
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thumbnail: >- |
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https://huggingface.co/wavymulder/ASCII-flux-LoRA/resolve/main/images/ascii%20lora%20comp1.jpg |
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tags: |
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- diffusers |
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- lora |
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- flux |
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base_model: black-forest-labs/FLUX.1-dev |
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--- |
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![Header](https://huggingface.co/wavymulder/ASCII-flux-LoRA/resolve/main/images/ascii%20lora%20comp1.jpg?) |
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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! |
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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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Usage subject to [Flux.1-dev's license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md). |
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Also available on [Civit.ai](https://civitai.com/models/648623?modelVersionId=725667) |
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![Image](https://huggingface.co/wavymulder/ASCII-flux-LoRA/resolve/main/images/ascii%20lora%20comp2.jpg?) |
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![Image](https://huggingface.co/wavymulder/ASCII-flux-LoRA/resolve/main/images/ascii%20lora%20comp3.jpg?) |