Use to generate Portraits or Images with the UAF Starsector style of <a rel="ugc" href="https://x.com/C_Yukimaru">CY / Milkydromeda</a> Trained on all openly available portraits of characters from the <a rel="ugc" href="https://fractalsoftworks.com/forum/index.php?topic=12709.0">mod</a>/<a rel="ugc" href="https://x.com/C_Yukimaru">twitter</a>/[Blocked Link]/discord.Trained Checkpoint PonyV6. Works well with AutismSDXLmixPony and other Pony derivatives. Due to lack of quality data the right version has to be chosen for results. Higher Epoch counts if you want to imitate characters like Solvernia more. Lower Epoch counts if you just want the uniform and light. When going for a specific character, take the tags from the character in the training data and begin modifying from there. Persistent Problems: - CY does 8 to 9 head bodies, so you need to prompt for tall women - CY does rather elongated faces, for which there are mostly just <a rel="ugc" href="https://civarchive.com/models/340679/80s-anime-woman">80s</a> and <a rel="ugc" href="https://civarchive.com/models/507695/90s-anime">90s</a> loras. - the Queen / Roboqueen / Inari / Nia all have almost no images, rather only Solvernia and Persephone have any amount of artwork. - uniforms turning white -&gt; reduce uniform / jacked weight - uniforms can be hard to remove due to overtraining - feathers / plants appearing Relevant Custom Tags: - uaf_redblue_backlight - uaf_red_blue_ilumination - uaf-portrait - uaf-character Additional Custom Tags that exist for further training: - uaf_neuko - uaf_queen - uaf_persephone - uaf_alexandra - uaf_inari - uaf_solvernia - uaf_nia - uaf_kimqui - uaf_meiyu Related Models: - UAF Starships (WIP - terrible data problem) - UAF Ship Sprites (WIP - Pony really doesnt seem to get the idea of top down ship sprites)

Starsector UAF Pony

Trained on <a target="_blank" rel="ugc" href="https://civitai.com/models/404154?modelVersionId=1177000">wai ani v12</a>.Strength around 0.8 to 1.Use v1.0 if you want to mess around more with the lighting. artist_cymilky, lighting_redblue, lighting_redblue_bg, lighting_yellowblue, fac_uaf, fac_irs,... look at the training data

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