MageTrail - Small Scale Full-Finetune To Show MageFlow 4B Potential As Foundational Architecture

Hi! Today I'm releasing MageTrail, a Danbooru/E621 proof of concept Full-Finetune of Microsoft's MageFlow 4B T2I model, using a diversity maximized condensed 41k images dataset (originally made by Lodestone, the creator of the Chroma model lineage) as a way to tune booru concept and tags based prompting + Illustration capabilities into the model without having to tune with the full booru dataset. (Potentially costing 20k-50k+ dollars) Civitai Hugging Face The dataset was updated to 2026 tags standard and recaptioned with Gemini 3.7 Flash (the best vision captioner in the world when I was preparing dataset) with Grok 4.6 and Qwen 3.8 27B FP8 as capable backup for heavy blocked content. The dataset and everything from training details to tooling are open source, per Banodoco grant. Dataset While V0.1 is still very obviously undertrained and unstable (only 100 dollars spent, it's a minor miracle that it's learning this well), the model has shown great promise in quickly learning and adapting booru concept and tags to its knowledge base. ~ The architecture behind MageFlow 4B shows good promise for further investment: Being 15-20% faster than NVIDIA Cosmos2/Anima on inference despite being 2 billion parameters larger Using MageVAE which perform better than QwenVAE on all usage, only behind the strongest open source VAE currently being Flux2VAE (which it was distilled from), also having the ability to slot in Flux2VAE for inference Having a decent Qwen 3 VL 4B Text Encoder 256-2048 pixels resolution native support Trained with large dataset (10 billion images curated down), meaning it has fairly vast knowledge, very great thing to have for a base model Being fairly quick to learn and adapt to new knowledge without any knowledge forgetting MIT License I remember there only being minor to medium attention given to MageFlow's release one month ago, not helped by the fact Microsoft themselves purge the model soon after (?) and that Krea 2 being the Illustration juggernaut it is, completely overshadowed any foundational arch released before it. But as a poor uni student who don't even have a gpu with VRAM and rely on free compute/renting, having a potential good illustration capable model in the small-medium range like Anima in the open source space is always a good thing. The realistic aim of this project is just to increase awareness of open source about the potential of this particular arch, I do not have budget nor time to even dream about training a full dan/e621 tune on the model. The hope is to attract others with way more capital to invest in it or at least experiment with the model more. The edit variant of MageFlow also seems quite interesting, but no one has touch it yet also. But of course, I do still want to continue with this tune. Currently the model have only got 30 epoch and seen about 300000 samples, it perform well considering the midget budget, but nowhere near "usable" quality, I need to reroll seed quite alot for a decent looking gens with no broken limbs lol. Future goal for the project: gather funding of 700 dollars to finetune the model to 200 epoch for full convergence of booru concepts (V0.5) and then further small scale funding to finetune my 10k artist collection dataset into it. I'm already gathering the funds for the next run, but any donation will help with achieving this goal and I'll be extremely grateful, you can do so through: Crypto 0x6a4bc748cd0bb9ced9a360eb0eb79f4f106614f8 (USDT - BEP20 Network) 12PPVYUeS1MerNp38Tpns5qXR6cmhu9tws (Bitcoin - BTC Network) 0x6a4bc748cd0bb9ced9a360eb0eb79f4f106614f8 (Ethereum - ERC20 Network) FitfJAsxLUBuSgDJJaHgBXJpt1sMm5FzF1Tvf1SHW5Up (Solana - SOL network) Please handle your money carefully and make sure the address you're sending to is correct. Ko-fi https://ko-fi.com/talanartvn Lastly, thank you to Banodoco and their Discord — Their 88.77 dollar grant made this project possible, the biggest thanks to them Lodestone Rock — Creator of the original version of the dataset that this model is trained on Motimalu — Inspiration behind finetuning practices and configs Bluvoll — diffusion-pipe fork derived from to use for training, and general training advice Anzhc — general training advice Nruaif — diffusion-pipe fork derived from to use for training, and general dataset handling/training advice Astromahdi — jupyter workspace where I processed and store the dataset animetimm/DeepGHS — Danbooru tagging model RedRocket — E621 tagging model submitted by /u/Turbulent-Bass-649 [link] [comments]

Source: r/StableDiffusion | 2026-09-07

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