CivArchive
    Anime Vision - beta
    NSFW
    Preview 21501970
    Preview 21501972
    Preview 21501969
    Preview 21501975
    Preview 21501971
    Preview 21501977
    Preview 21501976
    Preview 21501985
    Preview 21501982
    Preview 21501987
    Preview 21501986
    Preview 21501990
    Preview 21501989
    Preview 21501991
    Preview 21501988
    Preview 21501993

    Sponsorship:
    For sponsorship, please contact us on Discord. Your support helps us grow and improve future work.
    Buy Custom Models:
    If you're interested in buying a LoRA model, contact us—we can get it done in a short time.

    Update: New Version Released!

    I have retrained Anime Vision V1 with a completely new setup. This new version is far better than the beta version, incorporating the following enhancements:

    • Dataset: 10K images

    • Target Epoch: 300

    • Total Training Steps Completed: 150K

    • NSFW: Still not possible

    • Trigger Words: No longer needed

    • Important Note: Avoid including NSFW-related/mature words in your prompts. Doing so may result in unreliable image outcomes. Also, avoid using too long prompts as smaller prompts work better on SD3.

    Configuration I used for training:

    • GPU: A6000x2

    • Batch Size: 8

    • Optimizer: AdamW

    • Scheduler: Cosine with restarts

    • Captioning: WD14

    I hope you enjoy the improvements in this new version. As always, feel free to share your feedback in the comments or join my Discord server for more information.

    SD3 Anime Vision Beta Version is Finally Here!

    Introducing Anime Vision, my first SD3 anime model. My friend and I started working on fine-tuning SD3, and this is the first drift of the SD3 anime model. Is this model really good for anime? Not entirely, as mentioned in the title, it's a beta version or an experimental model. We are currently testing to ensure everything is going well. I trained this model for 20k steps. After some testing, I noticed that sometimes the results were not great, so we decided to pause the SD3 training for now.

    Here is a quick guidelines to use this Model to its full potential :

    • If you are trying to create any specific subject or object, use the trigger word 'anime style' in your prompt.

    • If you're targeting a character, you can ignore the keyword and go with something like this:

      • For a male character: 'anime boy'

      • For a female character: 'anime girl'

    Quick Guide and Parameters :

    • Clip Encoder: No need

    • VAE: No need

    • Sampler: dpmpp_2m

    • Scheduler: sgm_uniform

    • Sampling Steps: 25+

    • CFG Scale: 3+

    For better results, try using ComfyUI

    Workflow

    Available on tensor.art and shakker.ai with Free GPU acceleration

    Important : Do not include NSFW-related/mature words or censor words in your prompt. Doing so may result in unreliable or undesirable image outcomes.

    A big thanks to Shopon SKP for working so hard with me.

    Note :
    This is not a merged or modified model. It is the original Anime Vision fine-tuned model. Some users have been spreading incorrect information in the model's comment section. If you have any questions or want to know more, join my Discord server or share your thoughts in the comment section. Thank you for your time.

    Description

    FAQ

    Checkpoint
    SD 3

    Looks like we don't have an active mirror for this file right now.

    CivArchive is a community-maintained index — we catalog mirrors that volunteers upload to HuggingFace, torrents, and other public hosts. Looks like no one has uploaded a copy of this file yet.

    Some files do get recovered over time through contributions. If you're looking for this one, feel free to ask in Discord, or help preserve it if you have a copy.

    Details

    Downloads
    132
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    7/26/2024
    Updated
    4/27/2026
    Deleted
    4/27/2026

    Files

    animeVision_beta.safetensors

    Mirrors

    CivitAI (1 mirrors)

    Available On (1 platform)

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