<h3 id="flux-super-workflow">Flux SUPER Workflow</h3>This workflow is made for Flux and can do:Text2Img (with or without autoprompt based on the input image)Img2img (Flux Redux, Controlnet Union, Regular Img2img, everything accesible and easy tweakable with the main knobs)Cnet Upscale (with noise injection / colormatch)ExtraFace Detailer (with noise injection / mix / colormatch)PostProcess (Eveything you need)<ul><li>Nice Console Infos</li><li>Minimal clutter, Maximal features</li><li>Bypass groups</li><li>Caching Optimisations, Teacache for faster inference</li></ul>You can now use FLUX KREA as base modelTo enhance the image only, activate img2img with "img2img denoise" to 0. This will bypass the first inference to only use the upscaler and face detailer.This method is way faster than something like SUPIR and give better details.Use the "Control_end" as a strength parameter, higher value for lower strenght.Use the noise "injection strenght" to add more detailsFlux dev (scaled)<a target="_blank" rel="ugc" href="https://huggingface.co/comfyanonymous/flux_dev_scaled_fp8_test/blob/main/flux_dev_fp8_scaled_diffusion_model.safetensors">https://huggingface.co/comfyanonymous/flux_dev_scaled_fp8_test/blob/main/flux_dev_fp8_scaled_diffusion_model.safetensors</a>T5XXL<a target="_blank" rel="ugc" href="https://huggingface.co/comfyanonymous/flux_text_encoders/blob/main/t5xxl_fp16.safetensors">https://huggingface.co/comfyanonymous/flux_text_encoders/blob/main/t5xxl_fp16.safetensors</a>clip l<a target="_blank" rel="ugc" href="https://huggingface.co/comfyanonymous/flux_text_encoders/blob/main/clip_l.safetensors">https://huggingface.co/comfyanonymous/flux_text_encoders/blob/main/clip_l.safetensors</a>vae<a target="_blank" rel="ugc" href="https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/vae/diffusion_pytorch_model.safetensors">https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/vae/diffusion_pytorch_model.safetensors</a>Flux Redux dev<a target="_blank" rel="ugc" href="https://huggingface.co/black-forest-labs/FLUX.1-Redux-dev/blob/main/flux1-redux-dev.safetensors">https://huggingface.co/black-forest-labs/FLUX.1-Redux-dev/blob/main/flux1-redux-dev.safetensors</a>sigclip_vision_patch14_384.safetensors<a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/sigclip_vision_384/blob/main/sigclip_vision_patch14_384.safetensors">https://huggingface.co/Comfy-Org/sigclip_vision_384/blob/main/sigclip_vision_patch14_384.safetensors</a>FLUX.1-dev-ControlNet-Union-Pro<a target="_blank" rel="ugc" href="https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro/blob/main/diffusion_pytorch_model.safetensors">https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro/blob/main/diffusion_pytorch_model.safetensors</a>Flux.1-dev-Controlnet-Upscaler<a target="_blank" rel="ugc" href="https://huggingface.co/jasperai/Flux.1-dev-Controlnet-Upscaler/blob/main/diffusion_pytorch_model.safetensors">https://huggingface.co/jasperai/Flux.1-dev-Controlnet-Upscaler/blob/main/diffusion_pytorch_model.safetensors</a>yolov8m-face.pt<a target="_blank" rel="ugc" href="https://github.com/akanametov/yolo-face?tab=readme-ov-file#models">https://github.com/akanametov/yolo-face?tab=readme-ov-file#models</a>face_yolov8n-seg2_60.pt<a target="_blank" rel="ugc" href="https://huggingface.co/jags/yolov8_model_segmentation-set/blob/main/face_yolov8n-seg2_60.pt">https://huggingface.co/jags/yolov8_model_segmentation-set/blob/main/face_yolov8n-seg2_60.pt</a>Yolo8 face segmentation models are in pickle serialization format and autoflagged as "unsafe" because this is not a secure format, just like ".ckpt"Be sure to download your models from trusted sources by looking at the profiles and previous commits.<ul><li><a target="_blank" rel="ugc" href="https://buymeacoffee.com/designedbycrt">https://buymeacoffee.com/designedbycrt</a></li></ul>

FLUX SUPER Workflow

v4.2 Recent frontend update broken boolean under subgraph, fixed it -Face Enhance node update, added "mask taper borders" to prevent segm detection clipping through the bbox boundaries <a target="_blank" rel="ugc" href="https://github.com/PGCRT/CRT-Nodes/issues/12">https://github.com/PGCRT/CRT-Nodes/issues/12</a>

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