CivArchive
    Animagine XL - v4
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    Animagine XL 4.0, also stylized as Anim4gine, is the ultimate anime-themed finetuned SDXL model and the latest installment of Animagine XL series. Despite being a continuation, the model was retrained from Stable Diffusion XL 1.0 with a massive dataset of 8.4M diverse anime-style images from various sources with the knowledge cut-off of January 7th 2025 and finetuned for approximately 2650 GPU hours. Similar to the previous version, this model was trained using tag ordering method for the identity and style training. Fundraising Has New Methods! We're excited to introduce new fundraising methods through GitHub Sponsors to support training, research, and model development. Your support helps us push the boundaries of what's possible with AI. You can help us with: Donate: Contribute via ETH, USDT, or USDC to the address below, or sponsor us on GitHub. Share: Spread the word about our models and share your creations! Feedback: Let us know how we can improve. Donation Address: ETH/USDT/USDC(e): 0xd8A1dA94BA7E6feCe8CfEacc1327f498fCcBFC0C Github Sponsor: https://github.com/sponsors/cagliostrolab/ Why do we use Cryptocurrency?: When we initially opened fundraising through Ko-fi and using PayPal as withdrawal methods, our PayPal account was flagged and eventually banned, despite our efforts to explain the purpose of our project. Unfortunately, this forced us to refund all donations and left us without a reliable way to receive support. To avoid such issues and ensure transparency, we have now switched to cryptocurrency as the way to raise the fund. Want to Donate in Non-Crypto Currency? Although we had a negative experience with PayPal, if you'd like to support us but prefer not to use cryptocurrency, feel free to reach out to us via our Discord Server for alternative donation methods or through GitHub Sponsors

    Description

    Usage Guide: - Use tags instead of natural language - Follow this structured prompt template for optimal results: `1girl/1boy, character name, series source, artist reference, followed by additional tags in any order` - Special Tags: 1. Quality tags: masterpiece, best quality, low quality, worst quality 2. Score tags: high score, great score, good score, average score, bad score, low score 3. Temporal tags: year 2005, year 2015, year 2020, ... year n 4. Rating tags: safe, sensitive, nsfw, explicit Recommended settings: - For higher quality outputs, append these tags at the start or at the end of your prompt: `masterpiece, high score, great score, absurdres`. Note: Unlike other models, score tags have more impact than quality tags in steering output quality - Use the recommended negative prompt - Sampler steps: 20-28 (25 recommended) - CFG scale: 4-7 (5 recommended) - Preferred sampler: Euler Ancestral (Euler A) - Supported Resolution : 1024 x 1024, 1152 x 896, 896 x 1152, 1216 x 832, 832 x 1216, 1344 x 768, 768 x 1344, 1536 x 640, 640 x 1536 - Suggested style tags: faux traditional media, watercolor, oil painting, impressionism, impasto, abstract, chiaroscuro, fine art parody, art nouveau, etc - Example Prompt Structure: 1girl, firefly \(honkai: star rail\), honkai \(series\), honkai: star rail, casual, solo, looking at viewer, outdoors, smile, reaching towards viewer, night, masterpiece, high score, great score, absurdres

    FAQ

    checkpoint
    SDXL

    Details

    Downloads
    8,135,695
    Platform
    Moescape
    Platform Status
    Available
    Created
    1/23/2025
    Updated
    2/12/2025
    Deleted
    -

    Files

    7cc877c4-ace5-4a80-bb9e-02e874390aad.safetensors

    Size:
    6.46 GB
    SHA256:

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