CivArchive
    Alternate Lowleg Reality - v0.1 pre-pre-alpha - UNET
    NSFW
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    Guidance: 4
    Steps: 20
    Sampler: ddim
    Scheduler: ddim_uniform

    Overview

    Alternate Lowleg Reality invites you to explore a world where fashion is bold yet tasteful. This model specializes in generating images of women adorned in stylish, skimpy outfits that are daring but respectful. Built upon the Flux Dev model (version 1), it enhances facial features and introduces unique fashion elements, offering a fresh aesthetic for your creative projects.

    Features

    • Enhanced Facial Details: Improved facial representations for more expressive and captivating characters.

    • Unique Fashion Styles: Generates daring yet classy outfits without nudity, maintaining a respectful portrayal.

    • Alternative Reality Aesthetic: Transports users to a different world with a specific and immersive style.

    Intended Use Cases

    • Creative Art Projects: Perfect for artists exploring alternative fashion and styles.

    • Concept Design: Ideal for developing unique characters in games, stories, or visual media.

    • Visual Storytelling: Enhances narratives set in alternative realities with distinctive fashion elements.

    Training Data

    Trained on a custom dataset created through a complex workflow, the model utilizes self-generated images from various tools and models. While still in progress, the training data focuses on diversity and uniqueness to continually improve the model's output.

    Technical Specifications

    • Base Model: Flux Dev Model Version 1

    • Compatibility: Compatible with standard Stable Diffusion setups; no additional dependencies required.

    • Hardware Requirements: No special hardware beyond standard Stable Diffusion requirements.

    Licensing and Usage Terms

    All licensing conditions of the Flux Dev model apply to Alternate Lowleg Reality. Please refer to the Flux Dev model's licensing terms for detailed information. The model adheres strictly to these terms, and they cannot be altered.

    Version Information

    • Current Version: 0.1 Pre-Pre-Alpha

    • Development Status: Early release. Future updates will focus on refining training data and enhancing model performance.

    Keywords and Tags

    Alternate Reality, Stylish Fashion, Skimpy Outfits, Non-Nude Model, Flux Dev, Creative Art, Unique Aesthetic, Bold Design, Alternative Style

    Description

    First model with some bugs that needs to be ironed out

    FAQ

    Comments (5)

    TopazStudioSep 20, 2024· 6 reactions
    CivitAI

    a thinned down LoRA version of this would be great for max compatibility, I don't think many of us can handle a 22GB checkpoint

    beignets
    Author
    Sep 20, 2024· 1 reaction

    Yes good point. I planned to make a lora of this by splitting the difference of this checkpoint and the base flux dev checkpoint.

    pychobj2001741Sep 21, 2024· 1 reaction

    I would say the 22gb is great to have, but sounds like a lot of ppl want just the unet/gguf quants/nf4(which I would imagine will go away because gguf is more flexible...but it's slower..maybe it won't go away??) and a smaller fp8 AIO. That's a lot to put out when you make a model....I feel like GGUF Q8 would become the regular seeing that it's very close to fp16 and smaller and less gpu memory but a bit slower... and then you get all the other quants for ppl with various gpu vram....crazy time to be a ai gen nerd! lol

    beignets
    Author
    Sep 22, 2024

    @pychobj2001741 When dealing with GGUF, I tend to gravitate towards Q4 or maybe Q6, because it looks like the quality decrease after Q4 is pretty minimal. Plus, Q4 can be run on 12GB GPUs, so it’s more compatible with lower VRAM setups. I think there’s a clear line between quality and compatibility around there.

    You know what would also be really beneficial for CivitAI? If they did a VRAM amount survey, so we could get a better sense of which Q number would be the most practical to use.

    TopazStudioSep 22, 2024· 1 reaction

    @beignets different audience ofc, but on Steam the majority of users are between 8GB and 12GB of VRAM. https://store.steampowered.com/hwsurvey/Steam-Hardware-Software-Survey-Welcome-to-Steam

    Checkpoint
    Flux.1 D

    Details

    Downloads
    204
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/20/2024
    Updated
    4/30/2026
    Deleted
    -
    Trigger Words:
    lowleg outfit

    Files

    alternateLowleg_v01PrePreAlphaUNET.safetensors

    Available On (1 platform)

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