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    [Flux] BananaDiffusion - v0.1
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    In an ideal world, everyone has a banana in their pocket and is happy to see you. Welcome to BananaDiffusion.

    BananaDiffusion is all about celebrating the joy of banana—symbolically, playfully, and visually. This model focuses on highlighting the male form in a way that’s both artistic and uplifting, with an emphasis on creating beautiful, expressive images that honor the body of someone with banana. Building on the strengths of AndroFlux, BananaDiffusion adds a layer of fun and creativity, aiming to bring a little more happiness to your image generation experience. It’s not about pushing boundaries, but about embracing a simple, joyful concept with style and flair.

    Shoutouts to bghira and Terminus Research Group for their unwavering support of the banana community.

    As a quick tip, the Euler sampler with beta scheduler at 25 steps and a CFG of 1.0 works well for BananaDiffusion.

    FAQ:

    Q: Can you post the full fp16 version or without the text encoders?

    A: No :( Just use AndroFlux if you're low on space.

    --

    Q: Bobs? Vegana?

    A: Not here

    --

    Q: Banana?

    A: Banana.

    Description

    Initial version of BananaDiffusion. It relies heavily on the groundwork laid by AndroFlux, so expect a bit of weirdness. Weirdness is the true cost of banana.

    FAQ

    Comments (7)

    YokeAug 16, 2024· 1 reaction
    CivitAI

    This model is simply astonishing in how well it handles bananas! GJ

    NuxSinistra
    Author
    Aug 16, 2024

    Thank you for the kind words :)

    GentileschiAug 17, 2024· 1 reaction

    I also love handling bananas, 🍌👅👄

    GentileschiAug 17, 2024
    CivitAI

    Can't wait to try this model.

    DonutsDeliveryAug 17, 2024· 3 reactions
    CivitAI

    this shit is bananas

    RanoerAug 18, 2024
    CivitAI

    In Comfy, I get an error:
    Error occurred when executing CheckpointLoaderSimple: 'model.diffusion_model.input_blocks.0.0.weight'

    It's coming from
    model_detection.py", line 78, in detect_unet_config model_channels = state_dict['{}input_blocks.0.0.weight'.format(key_prefix)].shape[0]

    Sorry if this was implicit in the guidance, but it seems that I need to add some files to get this checkpoint going?

    Aspect_of_HopeSep 28, 2024

    i have same problem but i use Diffus :/

    Checkpoint
    Flux.1 D

    Details

    Downloads
    275
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/16/2024
    Updated
    4/30/2026
    Deleted
    -

    Files

    FluxBananadiffusion_v01.safetensors

    Mirrors

    Other Platforms (TensorArt, SeaArt, etc.) (2 mirrors)

    Available On (1 platform)

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