CivArchive
    Hyper Flux 8 step Lora - v1.0
    NSFW
    Preview 34267710
    Preview 34267709
    Preview 34267711
    Preview 34363856
    Preview 34369796
    Preview 34369855
    Preview 34370721
    Preview 34370722
    Preview 34370992
    Preview 35022412
    Preview 35025024
    Preview 35132014
    Preview 35132015
    Preview 36723776
    Preview 36723775
    Preview 36723779

    Greatly reduces the steps required for Flux dev.

    Recommended LoRA scales around 0.125 that is adaptive with training and guidance scale could be kept on 3.5.

    Note: I did not create this LoRa, all credits goes to ByteDance

    Description

    FAQ

    Comments (9)

    yLoraNov 17, 2024
    CivitAI

    Great... Now we need to find a way to quantize LoRAs

    civitai3463Oct 1, 2025

    I did in fact make a small change to the LoraConvert-node of ComfyUI-KJNodes and found that you can convert almost all LoRAs to FP8 with little to no loss in quality, i.e. halving or quartering the space requirement. These LoRAs function without any problems in ComfyUI.

    in_the_zone_againMar 28, 2026

    @civitai3463 can your give us an optimized version of this for chroma please?

    flo11ok874Jun 27, 2025· 4 reactions
    CivitAI

    This Lora works with Flux kontext which is great for speed. /same settings: 0.125/

    Creepybit
    Author
    Jun 27, 2025· 1 reaction

    Great info, thanks!

    SassyAIAug 27, 2025· 1 reaction
    CivitAI

    It's very hard to control LoRAs when the Hyper LoRA is active, even at 0.125, other LoRAs go completely wild and you lose control. Anyone found a good way to use LoRAs consistently alongside the Hyper one on Forge?

    Daddy_WaifuDec 18, 2025
    CivitAI

    Your Loras works perfectly in Flux dev quantized (gguf - Q3-K_S), truly an incredible result, thank you for the amazing work!

    setting: Comfyui

    strengh0.125

    ferrrett33Apr 13, 2026
    CivitAI

    So this is pretty awesome, it's the Flux analog of DMD2 for SDXL, exactly the same concept. You really need this if you have an older video card like 6GB and still want to run Flux.Dev.

    Testing now comparing to DPM++ 2M on well known standard Flux.Dev NSFW models (Q4 GGUF versions to fit my VRAM).

    Results are great, but the scheduler matters a lot.

    I find that Euler KL-OPTIMAL is far better than Euler Beta (in most cases). These images are on par with the regular model at 20 steps and DPM++ 2M.

    Will update this as I do more testing...

    Winner: Euler Kl-Optimal (super nice)

    Second: Euler Beta

    Some models: Euler SGM-Uniform

    LORA
    Flux.1 D

    Details

    Downloads
    4,074
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/12/2024
    Updated
    8/18/2026
    Deleted
    -

    Files

    Available On (2 platforms)

    Same model published on other platforms. May have additional downloads or version variants.