CivArchive
    FLUX + Hyper Lora 8 Steps + LLM + Detailing + Inpainting + Upscaling + Low Vram - v3.0
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    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

    - 4xLeexicaDat2_otf.pth

    - 4x-UltraSharp.pth

    - 4xFaceUpDAT.pth

    - dreamshaperXL_lightningDPMSDE.safetensors

    - ttplanetSDXLControlnet_v20Fp16.safetensors

    Please, note the package required for Ollama is ComfyUI Ollama by stavsap.

    ComfyUi-Ollama-YN is not required and create conflict with the Ollama nodes.

    Description

    I fixed the upscaling group

    FAQ

    Workflows
    Flux.1 D

    Details

    Downloads
    407
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/6/2024
    Updated
    4/22/2026
    Deleted
    -

    Files

    hyperFLUXLLMDetailing_v30.zip

    Mirrors