Warning: This is the 16-step model. The faster 8-step model can be found <a target="_blank" rel="ugc" href="https://civarchive.com/models/705444/gguf-hyperflux-8-steps-flux1-dev-bytedance-hypersd-lora">HERE</a>[Note: Unzip the download to get the GGUF. Civit doesn't support it natively, hence this workaround]A merge of Flux.D with the 16-step HyperSD LoRA from ByteDance - turned into GGUF. As a result, you get an ultra-memory efficient and fast DEV (CFG sensitive) model that generates fully denoised images with just 16 steps while consuming ~6.2 GB VRAM (for the Q4_0 quant). Also, the quality is pretty close to the original DEV model with ~30 steps.<h3 id="advantages-474uu2bkd">Advantages</h3><ul><li>Quality similar to the original DEV model, while requiring only ~16 steps.</li><li>Better quality and expressivity than the 8-step HyperFlux in general.</li><li>For the same seed, the output image is pretty similar to the original DEV model, so you can use it to do quick searches and do a final generation with the dev model.</li><li>Sometimes you might even get better results than the DEV model due to serendipity :) .</li><li>Disadvantage: requires 16 steps.</li></ul><h3 id="which-model-should-i-download-8gqt4pgur">Which model should I download?</h3>[Current situation: Using the updated Forge UI and Comfy UI (GGUF node) I can run Q8_0 on my 11GB 1080ti.]Download the one that fits in your VRAM. The additional inference cost is quite small if the model fits in the GPU. Size order is Q4_0 &lt; Q4_1 &lt; Q5_0 &lt; Q5_1 &lt; Q8_0.<ul><li>Q4_0 and Q4_1 should fit in 8 GB VRAM</li><li>Q5_0 and Q5_1 should fit in 11 GB VRAM</li><li>Q8_0 if you have more!</li></ul>Note: With CPU offloading, you will be able to run a model even if doesn't fit in your VRAM.All the license terms associated with Flux.1 Dev apply.PS: Credit goes to ByteDance for the HyperSD Flux 16-steps LoRA which can be found at <a target="_blank" rel="ugc" href="https://huggingface.co/ByteDance/Hyper-SD/tree/main">https://huggingface.co/ByteDance/Hyper-SD/tree/main</a>

GGUF: HyperFlux 16-Steps (Flux.1 Dev + ByteDance HyperSD LoRA)

ggufHyperflux16StepsFlux1_q80.zip

Files with SHA256: 504802bc5dc680449138a2367199634226635695f400e306bd16a7c741d875a3