You can get this model through Civitai Early Access, or grab it along with many others by joining The Tinkerer on Whop. Membership gets you early releases, private tools and members-only pages. There are free pages too, no membership needed.👉 Join on Whop💬 Join the community for support, free tools and early news on DiscordDownload the CyberRealistic Anima ComfUI Workflow hereIt works perfectly in Forge Neo as well.CyberRealistic Anima is a full finetune of Anima (CircleStone Labs, built on NVIDIA Cosmos-Predict2-2B with a Qwen3-0.6B text encoder). The base model leans plain, neutral, and anime-first. This finetune pushes the other way, into semi-realistic territory that leans toward realistic: more detailed skin and faces, richer shading, stronger texture, with a polished painterly finish. It keeps Anima's tag and natural-language understanding intact.It sits between semi-real and full realism rather than aiming for photographs. The base model's official line is "anime only," but CyberRealistic Anima is looser than that in practice. So CyberRealistic Anima covers anime through semi-real and realistic-leaning output. If you need hard, true-photographic realism, a dedicated SDXL or Z-Image realism checkpoint is the better tool.What's different from base AnimaTuned toward a semi-realistic, realistic-leaning, painterly aesthetic out of the box.Better skin, faces, and eye detail, with stronger texture response.You lean less on heavy quality-tag stacking to get a polished result.Keeps Anima's full tag and natural-language understanding.How Anima prompting works (worth reading if you're coming from SDXL/Illustrious)Anima isn't a CLIP/SDXL model. Its Qwen text encoder reads your whole prompt as natural language, so prompting works differently from Illustrious or Pony:Hybrid works best. Mix Danbooru/Gelbooru tags with a short natural-language description. You can prompt with pure tags like in Illustrious, but hybrid leaves far less room for the model to misread you.Skip very short prompts. They give unstable results. For pure natural language, aim for at least two sentences.Lowercase tags, spaces, no underscores (blue eyes, long hair). Score tags are the only tags that keep underscores.Name a character, then describe their appearance and action. This matters most with multiple characters, or the model gets confused.When a tag differs between Danbooru and Gelbooru, go with the Gelbooru version. The easiest way to find one: search name gelbooru, open the page, copy the tag.The style slotThe last quality/style tag drives the overall style, and it's the one you swap to change the look while everything else stays put:anime for default anime illustrationanime screencap for a TV-anime / screencap lookrealistic / real life for a realistic-leaning render@artist name for a specific artist's style (always with the @)Quality tagsBoth base-Anima systems work, in any combination:Human-score: masterpiece, best quality, highres, ...Aesthetic-score: score_9, score_8, ... score_1 (note: score_8, not Pony's score_8_up)Practical baseline:Positive: masterpiece, best quality, highres, score_7, score_8, realistic Negative: worst quality, low quality, sketch, score_1, score_2, score_3, censoredPush to score_7, score_8, score_9 for a more polished finish, or drop to score_6, score_7 for a slightly less polished, more "anime" feel. Always pair the score change with a style-slot tag. The negative prompt rarely needs touching, so leave it stable and just tweak the positive. Use the negative to override stubborn attributes the model won't drop from the positive.Tag order[quality / meta / year / safety + style slot] [1girl/1boy/etc] [character (from series)] [artist @] [general tags]Within each section the order doesn't matter. Pair a character with what they are (1girl) and, when it helps, name the series with "from" (e.g. hyuuga hinata from boruto: naruto next generations). Artists need the @ prefix, or the effect is very weak.Recommended settingsResolution: 768×1024, 832×1216, 1024×1536 (or swaps). Higher resolution means better quality and an easier time for the model. Avoid going much past ~2MP. My favorites are 1024×1536 and 768×1024.Highres Fix: worth using. It improves the image a lot.Standard generation: CFG around 5.5 with 40 to 60 steps for best quality, or CFG 4 to 5.5 with about 28 steps for fast and decent. Don't drop the steps too low (it degrades) or push CFG too high (it burns).Samplers: er_sde (neutral, sharp, a good default), euler_ancestral (softer), dpmpp_2m_sde_gpu (more varied).Scheduler: beta or simple. For the painterly, realistic textures this model is tuned for, try beta57 (ComfyUI RES4LYF node pack). It leans on low-noise timesteps and noticeably improves skin and texture.Example promptsRealistic-leaning:masterpiece, best quality, highres, score_8, score_9, real life, realistic, 1girl, solo. A semi-realistic portrait of a woman with auburn hair and green eyes, natural skin texture, soft window light, shallow depth of field, cinematic.Semi-real / painterly with an artist:masterpiece, best quality, highres, score_7, score_8, realistic, 1girl, @artist name. A young woman with long silver hair and blue eyes, wearing a white sundress, semi-realistic, detailed skin, soft shading, painterly, depth of field, standing in a sunlit forest with warm cinematic lighting.NotesDefault to safe and add safety tags (safe, sensitive, nsfw, explicit) to steer content. The model can drift on underspecified prompts.The base Anima checkpoint is a preview still in training, so fine details should keep improving upstream.Forge Neo SettingsYou can download the port of RES4LYF Beta57 sigma scheduler from ComfyUI hereComfyUI WorkflowDownload the Anima ComfyUI workflow here:https://whop.com/joined/cyberdelia-ai-lab/comfy-ui-workflows-anima-7PyhuAgLz9eJ5R/app/This is also where future workflow updates will be posted, so make sure to check back for the latest version.CreditsBuilt on Anima by CircleStone Labs (with Comfy Org), itself a derivative of NVIDIA's Cosmos-Predict2-2B-Text2Image. Please follow the upstream CircleStone Labs Non-Commercial License and the NVIDIA Open Model License where they apply.
