<h3 id="this-crazy-kreaflux-workflow-is-excellent-for-generating-high-quality-text-to-image-content.">This Crazy Krea/Flux Workflow is excellent for generating high-quality text-to-image content.</h3>You will need to visit the following resources for the models you need: 1) Krea GGUF: <a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/FLUX.1-Krea-dev-GGUF/tree/main">https://huggingface.co/QuantStack/FLUX.1-Krea-dev-GGUF/tree/main</a> 2) TE GGUF: <a target="_blank" rel="ugc" href="https://huggingface.co/silveroxides/flan-t5-xxl-encoder-only-GGUF/tree/main">https://huggingface.co/silveroxides/flan-t5-xxl-encoder-only-GGUF/tree/main</a> 3) CLIP-L: <a target="_blank" rel="ugc" href="https://huggingface.co/zer0int/CLIP-GmP-ViT-L-14/tree/main">https://huggingface.co/zer0int/CLIP-GmP-ViT-L-14/tree/main</a> or any other version by: <a target="_blank" rel="ugc" href="https://huggingface.co/zer0int">https://huggingface.co/zer0int</a> 4) Relatively "new" upscale model: <a target="_blank" rel="ugc" href="https://huggingface.co/Kim2091/UltraSharpV2/tree/main">https://huggingface.co/Kim2091/UltraSharpV2/tree/main</a> Also, (most importantly!), you absolutely must familiarize yourself with the following project: <a target="_blank" rel="ugc" href="https://github.com/ClownsharkBatwing/RES4LYF">https://github.com/ClownsharkBatwing/RES4LYF</a> &lt;-- to understand WTF is res_3m / beta57 or res_2s / bong_tangent ;) Feel free to experiment with the sampler/scheduler combinations, as they have a significant impact on the output! P.S.: use it well 😏

Crazy Krea/Flux Workflow

This workflow has been tested and confirmed to work with at least 12 GB of VRAM.

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