This is advanced ControlNet workflow based on Flux depth and canny models.<a target="_blank" rel="ugc" href="https://huggingface.co/black-forest-labs/FLUX.1-Depth-dev">https://huggingface.co/black-forest-labs/FLUX.1-Depth-dev</a><a target="_blank" rel="ugc" href="https://huggingface.co/black-forest-labs/FLUX.1-Canny-dev">https://huggingface.co/black-forest-labs/FLUX.1-Canny-dev</a>The workflow designed to get advantage of using 2 advanced KSamplers, which helps to reduce artifacts caused by CNet and overall produces better results. Gives more control over image generation, allows you to pick different samplers and schedulers.Other functionalities:<ol><li>Flux model loaders including GGUF variants.</li><li>Lora stacks.</li><li>Promting with Florence2 nodes.</li><li>Img2Img with autoresizing and cropping.</li></ol>Additional ControlNet manupilations such as:<ul><li>CNet image resizing</li><li>Blur (optional)</li><li>Sharpen (optional)</li></ul>More info provided inside workflow, including manual on how to use 2 advanced KSamplers.

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