This is a safetensors version of a model I trained back in November 2022, likely the first publically available general purpose MTG art model. Surprisingly, I'm not sure if a better general MTG art model has actually been released since November 2022. I trained this in the early days of Stable Diffusion, before Civitai was really a thing, to my knowledge. I posted a lot of information and a lot of good examples on my Huggingface page for it: <a target="_blank" rel="ugc" href="https://huggingface.co/volrath50/fantasy-card-diffusion">volrath50/fantasy-card-diffusion · Hugging Face.</a> The name, fantasy-card-diffusion, was deliberately vague and doesn't use "MTG" or "Magic", because like a week before I posted the model on Huggingface, WotC shut down some guy's custom card creator, and I figured it was better to go super-generic with the name. Because I trained it in November 2022, it only "knows" MTG after that point. Sadly, perhaps, I don't think I've actually managed to play MTG since about then , so I don't really know MTG after that point, either. :( As noted, lots of information and examples on Huggingface, but I'll quote some of the key points: A comprehensive fine-tuned Stable Diffusion model for generating fantasy trading card style art, trained on all currently available Magic: the Gathering card art (~35k unique pieces of art) to 140,000 steps, using Stable Diffusion v1.5 as a base model. Trained on thousands of concepts, using tags from card data. Has a strong understanding of MTG Artists, planes, sets, colors, card types, creature types and much more. Prompts: For best results, prompt the model with card information, like you were writing out a custom MtG card, with the phrase "MTG card art" and an art descriptionExample: "MTG card art, Fiery Merfolk, by Chris Rahn, 2021, creature - merfolk wizard, blue, red, ur, izzet, ravnica, gtp, rtr, grn, an izzet league merfolk, swimming in a ravnica river, casting a fire spell, flames, water, contrast, beautiful composition, intricate details" Using the ModelThe model was trained on MtG card information, not art descriptions. This has the effect of preserving most non-MtG learning intact, allowing you to mix MtG card terms with an art description for great customization.Each card was trained with card information pulled from Scryfall in the following format:MTG card art, [Card Name], by [Artist], [year], [colors (words)], [colors (letters)], [card type], [rarity], [set name], [set code], [plane], [set type], [watermark], [mana cost], [security stamp], [power/toughness], [keywords], [promo type], [story spotlight]A few examples of actual card data in this format:MTG card art, Ayula, Queen Among Bears, by Jesper Ejsing, 2019, Green, G, Legendary Creature - Bear, rare, Modern Horizons, mh1, draft_innovation, 1G, None, 2/2, Fight,MTG card art, Force of Will, by Terese Nielsen, 1996, Blue, U, Instant, uncommon, Alliances, all, Dominaria, Terisiare, Ice Age, expansion, 3UU,

Files with SHA256: aec66a60fa1e2fee1e15cd83d9963f31095a8948a0d0104d6d9fc947f067a06d