Made with Hyper Flux 8steps and Flux Dev Q4_0.GGUF. The main goal is to use FLUX with 8GB VRAM (my own configuration).Multiple functions in the workflow are controlled by a switch in Group 0 (the black one).1- Inpainting: it offers three options: (SAM Detector + Custom Mask or Only Custom Mask or Mask Uploaded)2- Prompt Generation: A prompt can be generated either through text or an image via a LLM.3- 1st Detailing: it is performed with FLUX.4- Upscaling: it is done using the Tile Diffusion Node, SDXL Lightning, and CN SDXL Tile. It operates quickly and produces stunning results.5- 2nd Detailing: a second pass is done with SDXL/FLUX for the background and the main subject.6- Post-Processing: a final step of post-processing is done to adjust brightness, contrast, etc.Make sure to download the exact models shown in the workflow. I selected them specifically to work with my 8GB VRAM card.Models:- flux1-dev-Q4_0.gguf- Hyper-FLUX.1-dev-8steps-lora.safetensors- t5xxl_fp8_e4m3fn.safetensors- <a rel="ugc" href="https://openmodeldb.info/models/4x-LexicaDAT2-otf">4xLeexicaDat2_otf.pth</a>- 4x-UltraSharp.pth- 4xFaceUpDAT.pth- dreamshaperXL_lightningDPMSDE.safetensors- ttplanetSDXLControlnet_v20Fp16.safetensorsPlease, note the package required for Ollama is <a target="_blank" rel="ugc" href="https://github.com/stavsap/comfyui-ollama">ComfyUI Ollama by stavsap.</a><a target="_blank" rel="ugc" href="https://github.com/wujm424606/ComfyUi-Ollama-YN">ComfyUi-Ollama-YN</a> is not required and create conflict with the Ollama nodes.

FLUX + Hyper Lora 8 Steps + LLM + Detailing + Inpainting + Upscaling + Low Vram

New LLM for ImagesUpscaling group was fixed and improvedDetailing Group after Upscaling

Files with SHA256: be821decb3a9a419e2cfbba325d9bd0000eb2ef8bfbb580700533182eb46b18f