<a rel="ugc" href="https://ko-fi.com/janxd"><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b9fba3ae-90a2-4ac0-9a2f-b812ff0182b6/original=true/b9fba3ae-90a2-4ac0-9a2f-b812ff0182b6.jpeg" /> </a>👉 Join me on <a target="_blank" rel="ugc" href="https://discord.gg/tWrKk3jcXx">our discord server</a> (<a target="_blank" rel="ugc" href="https://discord.gg/tWrKk3jcXx">https://discord.gg/tWrKk3jcXx</a>)! Share art, ask for help, or just chat. We have <a target="_blank" rel="ugc" href="https://civarchive.com/articles/13331/7k-followers-updates-and-civchan-bot-launch">CivChan bot plus games</a> there!👉 Support future updates: <a target="_blank" rel="ugc" href="https://ko-fi.com/janxd">Buy me a coffee </a>or tip buzz! Every bit helps. Thank you for your support!<hr /><h3 id="janima-is-a-highquality-texttoimage-model-finetuned-from-animabasev1.0-a-2bparameter-animefocused-diffusion-model-created-by-circlestone-labs-and-comfy-org.this-checkpoint-aims-to-keep-anima's-flexibility-for-anime-and-stylized-illustration-while-pushing-sharper-details-cleaner-anatomy-and-more-coherent-compositions-out-of-the-box."> JANIMA is a high‑quality text‑to‑image model finetuned from anima‑base‑v1.0, a 2B‑parameter anime‑focused diffusion model created by CircleStone Labs and Comfy Org. This checkpoint aims to keep Anima’s flexibility for anime and stylized illustration while pushing sharper details, cleaner anatomy, and more coherent compositions out of the box.</h3>JANIMA is designed for:<ul><li>High‑detail anime characters and illustrations</li><li>Clean linework with crisp eyes and facial features</li><li>Richer backgrounds and small object details without heavy post‑processing</li><li>General anime/stylized art (not photorealistic/realism work)</li></ul><hr /><h2 id="model-behavior">Model behavior</h2><ul><li>Inherits Anima’s strengths for anime and other non‑photorealistic content; realism is still not its main target.</li><li>Tends to produce more refined edges, textures, and micro‑details at the same resolution and steps compared to the base.</li><li>Works well as a “base” to stack LoRAs and style adapters on top, since it does not force a single over‑fitted style.</li></ul><hr /><h2 id="installing">Installing</h2><ul><li>JANIMA_v1.safetensors goes in ComfyUI/models/diffusion_models</li><li>qwen_3_06b_base.safetensors goes in ComfyUI/models/text_encoders</li><li>qwen_image_vae.safetensors goes in ComfyUI/models/vae</li></ul><hr /><h2 id="recommended-settings">Recommended settings</h2>These are good starting points; adjust per your workflow and hardware:<ul><li>Sampler: <code>er_sde</code> or similar modern sampler optimized for Anima‑based checkpoints</li><li>CFG: around 5 (you can push slightly higher or lower depending on prompt strength)</li><li>Steps: 24–30 (add more steps up to 50 if you are not planning to hi-res and upscale)</li></ul>Resolution: 512 - 1536 ^ 2 resolution supported.<hr /><h2 id="quality-tags-(optional)">Quality tags (optional)</h2>You can prepend your prompts with quality tags like:<pre><code>masterpiece, highres, absurdres, newest, best quality, score_7</code></pre>These help bias the model toward cleaner, higher‑effort outputs.<hr /><h2 id="suggested-negative-prompt">Suggested negative prompt</h2>A solid general‑purpose negative prompt for JANIMA:<pre><code>worst quality, low quality, lowres, score_1, score_2, score_3, blurry, jpeg artifacts, , long fingers, sepia, bad anatomy, missing fingers, watermark, artist name</code></pre>Tweak as needed.<hr /><h2 id="helpful-resources">Helpful Resources</h2>To get the most out of JANIMA and the Anima framework, the following community resources are highly recommended:<ul><li>Recommended ComfyUI Workflow: <a target="_blank" rel="ugc" href="https://civarchive.com/models/2426853/anima-preview-workflow">Anima Preview Workflow on Civitai</a></li><li>Style Reference: <a target="_blank" rel="ugc" href="https://anima.mooshieblob.com/">Anima Style Explorer</a> – A visual database of over 40,000 artist tags and weights recognized by the Anima model.</li><li>Character &amp; Tag Guide: <a target="_blank" rel="ugc" href="https://animadex.net/">Animadex</a> – A comprehensive list of characters and tags with visual examples optimized for Anima generation.</li></ul><hr /><h2 id="notes">Notes</h2><ul><li>Best suited for anime and stylized illustration workflows (ComfyUI or similar) using the Anima ecosystem.</li><li>All preview images are raw model outputs (no over‑editing), so you can see what JANIMA actually does at reasonable settings.</li></ul>

✨ JANIMA ✨

qwen_image_vae.safetensors

JANIMA_v10_txt.safetensors

JANIMA_v10.safetensors

v1.0

<h1 id="miaomiao-realskin-anima-1.0-miaomiao-realskin-eps-ve1.0">🚀 MiaoMiao RealSkin Anima 1.0 版本与 MiaoMiao RealSkin EPS VE1.0 版本更新公告</h1><h3 id="or-eps-branch">肢体稳定性专项优化版 | EPS Branch</h3>感谢大家一直以来对 RealSkin 系列的支持与反馈。在 VP1.2 版本成功提升肢体稳定性的基础上，我们使用与 VP1.2 相同的高质量素材，对 EPS 分支进行了重新训练。MiaoMiao RealSkin EPS VE1.0 现已正式上线！<h3>✅ 版本核心定位</h3>MiaoMiao RealSkin EPS VE1.0 = 更强的肢体稳定性 + 延续的 RealSkin 高质感<ul><li>肢体水平显著提升：得益于 MiaoMiao Harem 2.0 的优秀肢体基础与 VP1.2 的训练经验，本版本重点解决了长期困扰的“肢体崩坏”问题。手部、脚部以及复杂动态姿势下的结构稳定性已达到较高水准，日常使用中崩坏率大幅降低。</li><li>光影与质感延续：完整继承了 RealSkin 系列一贯的高真实感皮肤纹理、通透度与细腻微瑕疵表现，同时在结构透视和整体协调性上更加严谨。</li><li>易用性保持：延续 Harem 系列优秀的构图能力和提示词友好度，无需复杂堆砌提示词即可获得高质量输出。</li></ul><hr /><h3>✅ 当前已知状况与说明（重要）</h3><ul><li>本版本的主要升级方向为肢体稳定性，在常规姿势与中等复杂动态下的表现已较为稳定。</li><li>在极端姿势（大幅度扭转、严重遮挡、多人高难度交互等）下，仍可能出现少量异常，但相比之前版本已有明显改善。</li><li>我们将继续把肢体优化作为后续版本的重点方向，欢迎大家提供更多极端姿势的测试反馈。</li></ul><hr /><h3>✅ 升级建议</h3><ul><li>仍在使用 1.3 / 1.4 版本的用户：强烈推荐升级到 EPS VE1.0。肢体稳定性将得到显著提升，同时保留了 RealSkin 系列一贯的高质感。</li><li>正在使用 VP1.2 的用户：如果您更喜欢 EPS 分支的整体画风与易用性，现在可以放心切换到 VE1.0，肢体表现已接近 VP 分支水平。</li></ul><hr />非常感谢大家一路以来的包容、支持与宝贵反馈。这些反馈是我们持续优化的最大动力。欢迎在使用 MiaoMiao RealSkin EPS VE1.0 时，将您的好图、问题案例以及使用感受都反馈给我——每一份反馈都将直接影响后续版本的优化方向。关于<a target="_blank" rel="ugc" href="https://civarchive.com/models/833294/noobai-xl-nai-xl">有关如何使用 V-pred 模型的说明，请参阅 ←点击</a><h3 id="how-to-access">📥 获取方式 How to Access</h3>如果你不希望通过 BUZZ 获取下载权限，也完全没有问题。 欢迎加入我们的 Telegram 群组 或 QQ 群组 与我联系，我将直接提供最新模型的下载链接，确保每位用户都能方便获取与使用。If you prefer not to use BUZZ for download access, no worries! Feel free to join our Telegram group or QQ group and contact me directly—I’ll provide the latest model download link to ensure easy access for everyone.您可以通过加入我们的 Telegram 和 QQ 群组获取其他版本抢先体验资格，与我们一起见证这次重大的更新。感谢大家一直以来的支持和反馈！我将继续努力，为大家带来更多精彩的更新和功能。<a target="_blank" rel="ugc" href="https://ko-fi.com/miaokamk"><span style="background-color:rgba(34, 139, 230, 0.15);color:rgb(254, 254, 254);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">☜ 请您赞助我 感谢支持</a><span style="background-color:rgba(34, 139, 230, 0.15);color:rgb(254, 254, 254);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px"> ！Please sponsor me. Thank you for your support! 您的赞助将用于 GPU 费用与模型优化 All contributions go toward GPU costs and model improvements.<a target="_blank" rel="ugc" href="https://qm.qq.com/q/Of4MhlaY0M">⬅️企鹅四周目</a>⬅️<a target="_blank" rel="ugc" href="https://t.me/+abN4F_N7DKI2MzFl">Telegram</a><h2>模型输出参数</h2><ul><li>主页的参数为最新版本的参数其他版本对应版本简介的参数出图</li><li>The parameters on the homepage are those of the latest version; other versions will display the parameters in the version description.</li></ul>模型输出参数anima版本查看版本简介<span style="background-color:rgb(26, 27, 30);color:rgb(250, 82, 82);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">About this version参数 -----------------------------------------------值Scheduler (采样器/调度器)------------------Euler a Exponential 30 Steps (步数)---------------- Euler Exponential 30 Steps (步数)------------------ DPM++ 2M Karras 30 Steps (步数)------------------ DPM++ 2M Exponential 30 Steps (步数)CFG Scale (提示词相关性) ------------------3.8~5.5Hires Upscale (高清修复放大倍数) --------2Hires Steps (高清修复步数) ----------------10Hires Upscaler (高清修复放大器) ----------4x-UltraSharpDenoising Strength (降噪强度) ------------0.2Clip skip (模型跳过层数) --------------------2Positive Prompt （default ） (正面提示词)<pre><code>{此处添加提示词 Add Prompt here},very aesthetic, masterpiece, best quality, ultra-detailed,fair_skin, high contrast,huge filesize,</code></pre><pre><code>extra toes,lowres, (bad), text, error, fewer, extra,nostrils, missing, worst quality, jpeg artifacts, low quality, watermark, unfinished, displeasing, oldest, early, signature,artistic error, username, bad feet,scan, high saturation,[abstract], english text, shiny hair,mutated hands,malformed hands,bad feet,</code></pre>

MiaoMiao RealSkin

About this versionMiaoMiao RealSkin Anima 必看参数⚠️ IMPORTANT: Usage Guide / 重要食用指南Model Output ParametersScheduler Euler Normal Euler a NormalSteps 30CFG Scale 4.0-6.0Model Recommended Resolution 920x1536Positive Prompt （default ）<pre><code>masterpiece, best quality, score_7, safe,very aesthetic, ultra-detailed,pale_skin,fair_skin, high contrast,huge filesize,{此处添加提示词 Add Prompt here}</code></pre>Negative Prompt<pre><code>worst quality,low quality,score_1,score_2,score_3,artist name,simple background,, extra toes,lowres, (bad), text, error, fewer, extra, missing, worst quality, jpeg artifacts, low quality, watermark, unfinished, displeasing, oldest, early, signature, artistic error, username, bad feet,scan, [abstract], english text, shiny hair

</code></pre>⚡ 二次采样优化 / Secondary Sampling Enhancement：高清放大不糊不炸，细节质感全面觉醒！针对 Anima 模型 在高分辨率二次放大过程中容易出现的 模糊、发花、线条脏乱、细节崩坏 等问题，我在 WebUI Forge Neo 中反复实测，终于调出了一套更加均衡稳定的二次采样参数方案。 这套设置可以在尽量保留原图角色结构、神态、构图与插画气质的同时，显著提升整体清晰度与细节质感——放大后不容易糊，不容易花，线条更稳，画面更干净，成图完成度更高。无论是：•角色立绘•半身插画•卡面封面•壁纸级高分辨率输出•细节要求更高的成稿场景都能获得更舒服的放大效果。直接按照下面蓝字链接的参数操作即可，基本就是当前 MiaoMiao Anima 模型 系列较为平衡、稳定、实用的二次采样方案。<a target="_blank" rel="ugc" href="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2f95ba5a-8182-40c3-8148-3a3132996661/original=true/2f95ba5a-8182-40c3-8148-3a3132996661.jpeg">二次采样参数设置图</a>

miaomiaoRealskin_anima10.safetensors

Anima1.0

CKN_EPS  VE1.0

EPS-v1.4

EPS-v1.3

EPS-v1.25

EPS-v1.2

EPS-v1.1

EPS-v1.0

V-Pred-v1.1

V-Pred-v1.0

V-Pred-v0.9(BETA)

EPS-v0.9(BETA)

Anima is a 2 billion parameter text-to-image model created via a collaboration between CircleStone Labs and Comfy Org. It is focused mainly on anime concepts, characters, and styles, but is also capable of generating a wide variety of other non-photorealistic content. The model is designed for making illustrations and artistic images, and will not work well at realism.It is trained on several million anime images and about 800k non-anime artistic images. No synthetic data was used for training. The knowledge cut-off date for the anime training data is September 2025.NEW: Try the <a target="_blank" rel="ugc" href="https://civarchive.com/models/2560840/anima-turbo-lora">Turbo LoRA</a> for better stability and much faster generations.<h1 id="versions">Versions</h1><ul><li>Anima-Base<ul><li>The pretrained, unrefined base model. Maximum flexibility, diversity, and style adherence.</li></ul></li><li>Anima-Turbo<ul><li>Coming soon.</li></ul></li></ul><h1 id="installing-and-running">Installing and running</h1>Get the text encoder and VAE from the <a target="_blank" rel="ugc" href="https://huggingface.co/circlestone-labs/Anima">HuggingFage page</a>.The model is natively supported in ComfyUI. The model files go in their respective folders inside your model directory:<ul><li>anima-base-v1.0.safetensors goes in ComfyUI/models/diffusion_models</li><li>qwen_3_06b_base.safetensors goes in ComfyUI/models/text_encoders</li><li>qwen_image_vae.safetensors goes in ComfyUI/models/vae (this is the Qwen-Image VAE, you might already have it)</li></ul><h2 id="generation-settings">Generation settings</h2><ul><li>Works at resolutions between 512^2 and 1536^2 pixels.</li><li>30-50 steps, CFG 4-6.</li><li>A variety of samplers work. Some of my favorites:<ul><li>er_sde: neutral style, flat colors, sharp lines. I use this as a reasonable default.</li><li>euler_a: Softer, thinner lines. Can sometimes tend towards a 2.5D look. CFG can be pushed a bit higher than other samplers without burning the image.</li><li>dpmpp_2m_sde_gpu: similar in style to er_sde but can produce more variety and be more "creative". Depending on the prompt it can get too wild sometimes.</li></ul></li><li>If going for a more realistic / painterly look, the beta57 scheduler (ComfyUI RES4LYF custom node pack) can help make better textures, since it puts more emphasis on low-noise timesteps.</li></ul><h1 id="prompting">Prompting</h1>The model is trained on Danbooru-style tags, natural language captions, and combinations of tags and captions.<ul><li>Use lowercase for tags, and spaces instead of underscores. Score tags are the only tags that use underscores.</li><li>Recommended positive prefix: "masterpiece, best quality, score_7, safe, "</li><li>Recommended negative: "worst quality, low quality, score_1, score_2, score_3, artist name"</li><li>When using a tag that is different between Danbooru and Gelbooru, prefer the Gelbooru version.</li><li>Prompt weighting works, but needs a weight higher than typically used for SDXL. Example: "(chibi:2)"</li></ul><h2 id="tag-order">Tag order</h2>[quality/meta/year/safety tags] [1girl/1boy/1other etc] [character] [series] [artist] [general tags]Within each tag section, the tags can be in arbitrary order.<h2 id="quality-tags">Quality tags</h2>Human score based: masterpiece, best quality, good quality, normal quality, low quality, worst qualityPonyV7 aesthetic model based: score_9, score_8, ..., score_1You can use either the human score quality tags, the aesthetic model tags, both together, or neither. All combinations work.<h2 id="time-period-tags">Time period tags</h2>Specific year: year 2025, year 2024, ...Period: newest, recent, mid, early, old<h2 id="meta-tags">Meta tags</h2>highres, absurdres, anime screenshot, jpeg artifacts, official art, etc<h2 id="safety-tags">Safety tags</h2>safe, sensitive, nsfw, explicit<h2 id="artist-tags">Artist tags</h2>Prefix artist with @. E.g. "@big chungus". You must put @ in front of the artist. The effect will be very weak if you don't.<h2 id="full-tag-example">Full tag example</h2>year 2025, newest, normal quality, score_5, highres, safe, 1girl, oomuro sakurako, yuru yuri, @nnn yryr, smile, brown hair, hat, solo, fur-trimmed gloves, open mouth, long hair, gift box, fang, skirt, red gloves, blunt bangs, gloves, one eye closed, shirt, brown eyes, santa costume, red hat, skin fang, twitter username, white background, holding bag, fur trim, simple background, brown skirt, bag, gift bag, looking at viewer, santa hat, ;d, red shirt, box, gift, fur-trimmed headwear, holding, red capelet, holding box, capelet<h2 id="tag-dropout">Tag dropout</h2>The model was trained with random tag dropout. You don't need to include every single relevant tag for the image.<h2 id="dataset-tags">Dataset tags</h2>To improve style and content diversity, the model was additionally trained on two non-anime datasets: LAION-POP (specifically the ye-pop version) and DeviantArt. Both were filtered to exclude photos. Because these datasets are qualitatively different from anime datasets, captions from them have been labeled with a "dataset tag". This occurs at the very beginning of a prompt followed by a newline. Optionally, the second line can contain either the image alt-text (ye-pop) or the title of the work (DeviantArt). Examples:<pre><code>ye-pop
For Sale: Others by Arun Prem
Abstract, oil painting of three faceless, blue-skinned figures. Left: white, draped figure; center: yellow-shirted, dark-haired figure; right: red-veiled, dark-haired figure carrying another. Bold, textured colors, minimalist style.</code></pre><pre><code>deviantart
Flame
Digital painting of a fiery dragon with glowing yellow eyes, black horns, and a long, sinuous tail, perched on a glowing, molten rock formation. The background is a gradient of dark purple to orange.</code></pre><h2 id="natural-language-prompting-tips">Natural language prompting tips</h2><ul><li>Follow standard English capitalization rules for character and series names.</li><li>If using pure natural language, more descriptive is better. Aim for at least 2 sentences. Extremely short prompts can give unexpected results.</li><li>You can mix tags and natural language in arbitrary order.</li><li>You can put quality / artist tags at the beginning of a natural language prompt.<ul><li>"masterpiece, best quality, @big chungus. An anime girl with medium-length blonde hair is..."</li></ul></li><li>Name a character, then describe their basic appearance.<ul><li>"Digital artwork of Fern from Sousou no Frieren, with long purple hair and purple eyes, wearing a black coat over a white dress with puffy sleeves..."</li><li>This is extra important when prompting for multiple characters. If you just list off character names with no description of appearance, the model can get confused.</li></ul></li></ul><h1 id="limitations">Limitations</h1><ul><li>The model doesn't do realism well. This is intended. It is an anime / illustration / art focused model.</li><li>The model may generate undesired content, especially if the prompt is short or lacking details.<ul><li>Avoid this by using the appropriate safety tags in the positive and negative prompts, and by writing sufficiently detailed prompts.</li></ul></li><li>The model isn't great at text rendering. It can generally do single words and sometimes short phrases, but lengthy text rendering won't work well.</li><li>The base version is a true base model. It hasn't been aesthetic tuned on a curated dataset. The default style is very plain and neutral, which is especially apparent if you don't use artist or quality tags.</li></ul><h1 id="finetuning-tips">Finetuning tips</h1><ul><li>Don't train the LLM adapter. My own training script, diffusion-pipe, lets you set llm_adapter_lr=0 to completely disable training it, and the example config has this as a default.<ul><li>Other trainers like sd-scripts have similar options that should be used.</li><li>The LLM adapter processes the text embeddings before they get to the diffusion model, and therefore has an outsized influence on the generated images. The adapter itself contains a surprising amount of knowledge and is easy to degrade by training it.</li></ul></li><li>Use a low learning rate. For a rank 32 LoRA, start with 2e-5 and adjust up or down from there.<ul><li>As a base model, there is no aggressive aesthetic tuning or RLHF you need to overcome when finetuning.</li><li>The model has an extremely large and diverse amount of visual concepts baked in already. A light touch is all you need.</li></ul></li><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/2536147">Example</a> of a style LoRA, with dataset and configs shared.</li></ul><h1 id="license">License</h1>This model is licensed under the CircleStone Labs Non-Commercial License. The model and derivatives are only usable for non-commercial purposes. Additionally, this model constitutes a "Derivative Model" of Cosmos-Predict2-2B-Text2Image, and therefore is subject to the <a target="_blank" rel="ugc" href="https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/">NVIDIA Open Model License Agreement</a> insofar as it applies to Derivative Models.If you would like a commercial license, please email tdrussell@circlestone.aiBuilt on NVIDIA Cosmos.

Anima

anima_baseV10_txt.safetensors

anima_baseV10.safetensors

base-v1.0

preview3-base

preview2

First iteration of an Anima Merge to take up the AniMayhem mantle. I found Anima base feels flat so wanted to put together something with a bit more depth. Welcome to Anima Mayhem V0 - Snake Skin Boots. This is a merge of a couple of handy loras in addition to some custom work - Anima Base and a touch of Wai. Use EulerA / beta or er_sde / normal or beta Start at 30 steps Ideally still add in upscale and detailers. Required Text Encoder <ul><li>qwen_3_06b_base.safetensors goes in ComfyUI/models/text_encoders</li></ul>VAE<ul><li>qwen_image_vae.safetensors goes in ComfyUI/models/vae </li></ul>

Anima Mayhem

animaMayhem_v00SnakeSkinBoots_txt.safetensors

animaMayhem_v00SnakeSkinBoots.safetensors

v0.0 - Snake Skin Boots

<h3>喵喵后宫才不是臭脚模型呢</h3><a target="_blank" rel="ugc" href="https://civarchive.com/articles/16163">属于完整的 MiaoMiaoHarem Dogma 完整生态系统终于来了</a>。👈详情请点击MiaoMiao Harem Anima base 已上传 去风格化的 MiaoMiao Harem Anima 的基础版本 对lora兼容性优于MiaoMiao Harem Anima 1.0<h2 id="miaomiao-harem-anima-or-yuanyuan-anima">👑 MiaoMiao Harem Anima | 二次元美学新纪元！基于 Anima 架构的华丽降临</h2>“不是把旧版本搬到新底模上，而是让喵喵后宫的审美灵魂，在 Anima 架构上完成一次真正的二次元觉醒！” “This is not a simple port to a new base—it's the true anime awakening of MiaoMiao Harem's aesthetic soul on top of the Anima architecture!”🚀 Update Highlights / 更新亮点MiaoMiao Harem Anima V1.0 正式登场！这一次，我们选择以 Anima 2B 架构为核心，重新塑造喵喵后宫的二次元表现力。 不同于偏向泛用或写实混合取向的底模，Anima 天生就是为 anime / illustration / artistic image 而生——它拥有更纯正的二次元语义理解、更稳定的角色风格表达，以及对标签体系与自然语言混合提示更强的兼容能力。基于这一点，MiaoMiao Harem Anima V1.0 不再只是“能画二次元”，而是向着更纯净的动漫审美、更鲜明的角色塑造、更统一的插画质感全面进化。 从角色立绘、单人美少女、双人互动，到轻剧情感场景、幻想服装设计、插画封面感构图——都能以更自然、更轻松、更高完成度的方式直出。这不是一次普通换底，而是一次真正面向二次元创作者的专属升级。提示词理解更友好 / Better Prompt Understanding：标签、自然语言、混合写法都能打Anima 原版就具备一个非常强的优势： 同时支持 Danbooru 风格标签、自然语言描述，以及二者混合输入。因此在这个版本中，你可以更自由地使用不同提示习惯：•纯标签流：适合老手、控图党、精确指定元素•自然语言流：适合描述氛围、构图、服装、剧情感•标签 + 英文描述混合流：兼顾稳定性与创造力这意味着它既适合喜欢堆 tag 的用户，也适合只想用几句自然语言快速出图的用户。 对于角色名、作品名、服装设定、场景描述、画师风格倾向等内容，也能更自然地接收与还原。一句话总结： 更懂你想要什么，也更容易把“你脑子里的二次元画面”真的画出来。⚡. 出图效率与可控性兼得 / Fast, Flexible, Effective虽然这是一个偏基础能力很强的动漫架构模型，但它并不意味着难用。 恰恰相反，MiaoMiao Harem Anima V1.0 保留了喵喵后宫系列一贯的低门槛、高回报特性：•简单 prompt 也能获得不错完成度•加质量标签后上限进一步提升•通过角色/服饰/姿势补充可快速细化画面•适配多种采样器，出图风格变化明显•可用于轻量控制，也可用于深度调校无论你是想“一抽出图”，还是想认真打磨构图与细节， 这个版本都能在效率与审美稳定性之间取得非常优秀的平衡。非写实路线更加明确 / Illustration-Oriented by Design：不追求现实，只服务于幻想与艺术需要特别说明的是： MiaoMiao Harem Anima V1.0 是一个明确偏向动漫插画与非写实艺术表达的版本。它的强项不是现实摄影感，也不是高仿真写实人像， 而是：•动漫立绘•二次元角色插画•游戏卡面感视觉•轻小说封面感构图•梦幻幻想风•艺术化非写实场景如果你追求的是“像动画、像插画、像角色原画、像设定集封面”的视觉方向， 那么这个版本会比偏写实底模更加纯粹、更加直接、也更对味。MiaoMiao Harem Anima V1.0 不只是“二次元角色模型”， 更是一台可以在动漫、插画、艺术表现之间自由摆动的创作引擎。MiaoMiao Harem Anima V1.0，不是简单分支，而是喵喵后宫在二次元赛道上的全新主场！它继承了喵喵后宫系列的高审美表达，同时借助 Anima 架构获得了更纯正的动漫理解、更舒服的插画完成度，以及更友好的 prompt 兼容能力。 对于热爱角色创作、动漫插画、卡面海报、幻想美少女题材的创作者来说，这将会是一次非常值得体验的新进化。如果你想要的是更纯、更稳、更有“二次元味道”的喵喵后宫版本——那么这就是答案。✨ 立即体验，开启属于你的动漫幻想盛宴！欢迎分享返图，一起见证 Anima 架构下的全新蜕变！<h3 id="important:-usage-guide">⚠️ IMPORTANT: Usage Guide / 重要食用指南</h3>Model Output ParametersScheduler Euler Normal Euler a NormalSteps 30CFG Scale 4.0-6.0 推荐5.5Model Recommended Resolution 512² ~ 1536²推荐常用尺寸768x1024 / 832x1216 / 896x1152 / 1024x1024 推荐 920x1536Positive Prompt （default ）<pre><code>masterpiece, best quality, score_7, safe,very aesthetic, masterpiece, best quality, ultra-detailed,pale_skin,fair_skin, high contrast,huge filesize,{此处添加提示词 Add Prompt here}</code></pre>Negative Prompt<pre><code>worst quality,low quality,score_1,score_2,score_3,artist name,
</code></pre><h3 id="secondary-sampling-enhancement">⚡ 二次采样优化 / Secondary Sampling Enhancement：</h3>高清放大不糊不炸，细节质感全面觉醒！针对 Anima 模型 在高分辨率二次放大过程中容易出现的 模糊、发花、线条脏乱、细节崩坏 等问题，我在 WebUI Forge Neo 中反复实测，终于调出了一套更加均衡稳定的二次采样参数方案。 这套设置可以在尽量保留原图角色结构、神态、构图与插画气质的同时，显著提升整体清晰度与细节质感——放大后不容易糊，不容易花，线条更稳，画面更干净，成图完成度更高。无论是：•角色立绘•半身插画•卡面封面•壁纸级高分辨率输出•细节要求更高的成稿场景都能获得更舒服的放大效果。直接按照下图参数操作即可，基本就是当前 Anima 版本较为平衡、稳定、实用的二次采样方案。<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2f95ba5a-8182-40c3-8148-3a3132996661/original=true/2f95ba5a-8182-40c3-8148-3a3132996661.jpeg" />Sampler 推荐说明•er_sde默认推荐。风格中性、色块干净、线条利落，整体最稳。•euler_a线条更柔、更细，部分情况下会有轻微 2.5D 气质。可适当提高 CFG，适合柔和系角色图。•dpmpp_2m_sde_gpu创造性更强，变化更多，适合想要更丰富画面表现时使用。但某些 prompt 下可能会更“放飞”，建议搭配更明确的描述。Positive Prompt（推荐前缀）<pre><code>masterpiece, best quality, score_7, safe,</code></pre>如果你想保留原有识别，也可以继续加入：<pre><code>very aesthetic, ultra-detailed, high contrast</code></pre>Negative Prompt（推荐）<pre><code>worst quality, low quality, score_1, score_2, score_3, artist name</code></pre>如果你想沿用你原来更完整的负面，也可以融合成增强版，例如：<pre><code>worst quality, low quality, score_1, score_2, score_3, artist name, text, watermark, signature, jpeg artifacts, extra toes, bad feet, missing fingers, extra fingers, unfinished</code></pre>Prompt 使用建议•标签建议尽量小写•tag 中用空格，不要用下划线（除 score_7 这种特殊标签外）•可混用 标签 + 自然语言•想要更稳定角色表现时，建议写明：示例 PromptTag 风格<pre><code>masterpiece, best quality, score_7, safe, 1girl, solo, long hair, silver hair, blue eyes, school uniform, smile, looking at viewer, cherry blossoms, spring, soft lighting</code></pre>自然语言风格<pre><code>masterpiece, best quality, score_7, safe. An anime girl with long silver hair and bright blue eyes stands under cherry blossoms in spring. She wears a neat school uniform, smiles gently at the viewer, and the scene has soft lighting with a clean illustration style.</code></pre>混合风格<pre><code>masterpiece, best quality, score_7, safe, 1girl, solo, long silver hair, blue eyes, school uniform, cherry blossoms. A clean anime illustration with soft spring lighting, gentle expression, and a polished character-focused composition.

</code></pre><h3 id="v-pred"><a target="_blank" rel="ugc" href="https://civarchive.com/models/833294/noobai-xl-nai-xl">有关如何使用 V-pred 模型的说明，请参阅 ←点击</a></h3>您可以通过加入我们的 Telegram 和 QQ 群组获取其他版本抢先体验资格，与我们一起见证这次重大的更新。感谢大家一直以来的支持和反馈！我将继续努力，为大家带来更多精彩的更新和功能。<a target="_blank" rel="ugc" href="https://ko-fi.com/miaokamk"><span style="background-color:rgba(34, 139, 230, 0.15);color:rgb(254, 254, 254);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">☜ 请您赞助我 感谢支持</a><span style="background-color:rgba(34, 139, 230, 0.15);color:rgb(254, 254, 254);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px"> ！Please sponsor me. Thank you for your support! 您的赞助将用于 GPU 费用与模型优化 All contributions go toward GPU costs and model improvements<hr /><h3 id="download-options">📥 Download Options / 模型下载说明</h3>⚡ Sponsor with BUZZ / 赞助支持 (BUZZ下载) If you appreciate my work and wish to support the continuous development of the MiaoMiao series, you are welcome to download using BUZZ. Your support is the greatest motivation for my creative journey! 如果您认可我的作品并愿意支持 MiaoMiao 系列的持续开发，欢迎使用 BUZZ 进行下载。您的支持是我持续迭代、不断创作的最大动力！🔗 Free Download (Non-BUZZ) / 免费获取 (免BUZZ渠道) I fully understand that BUZZ may not be available for everyone. To ensure creativity remains accessible, I have provided a non-BUZZ download link below: 我深知 BUZZ 并不总是充裕，为了让创作不设限，我同样提供了免 BUZZ 下载渠道，您可以直接通过以下链接获取模型：👉 [<a target="_blank" rel="ugc" href="https://www.seaart.ai/zhCN/models/detail/5ac312a8d9c73cc0520ee0531009b606">downloadLink</a>]<a target="_blank" rel="ugc" href="https://qm.qq.com/q/Of4MhlaY0M">⬅️企鹅四周目</a>⬅️<a target="_blank" rel="ugc" href="https://t.me/+abN4F_N7DKI2MzFl">Telegram</a><hr /><h3 id="important:-usage-guide">⚠️ IMPORTANT: Usage Guide / 重要食用指南</h3><h2 id="model-output-parameters">Model Output Parameters</h2><h2 id="scheduler-euler-euler-a">Scheduler euler euler a</h2><h2 id="steps-30">Steps 30</h2><h3 id="cfg-scale-3.8~6">CFG Scale 3.8~6</h3>Model Recommended Resolution 768X1280 896x1152 PVC Style(v1.2~v1.5)<pre><code>miaoka\(pvc style\), miaoka\(figure\),3d,</code></pre>Positive Prompt （default ）<pre><code>{此处添加提示词 Add Prompt here} ,very aesthetic, masterpiece, best quality, ultra-detailed,miaoka, high contrast,huge filesize,</code></pre>Negative Prompt<pre><code>extra toes,lowres, (bad), text, error, fewer, extra, missing, worst quality, jpeg artifacts, low quality, watermark, unfinished, displeasing, oldest, early, signature, artistic error, username, bad feet,scan, [abstract], english text, shiny hair</code></pre><h3 id="how-to-access">📥 获取方式 How to Access</h3>如果你不希望通过 BUZZ 获取下载权限，也完全没有问题。 欢迎加入我们的 Telegram 群组 或 QQ 群组 与我联系，我将直接提供最新模型的下载链接，确保每位用户都能方便获取与使用。If you prefer not to use BUZZ for download access, no worries! Feel free to join our Telegram group or QQ group and contact me directly—I’ll provide the latest model download link to ensure easy access for everyone.这个模型如你们所见，由于我的个人兴趣，我更热衷于画脚。但是，如果你认为这是一个脚部特化模型，那就错了。这个模型的特点不在于画脚，而在于每个版本都在优化质感、语义理解和皮肤质感。我想创造一个能画出类似写实肌肤的动漫风格为主体，并尽量不影响其他风格的模型。这个模型可能很小众，没有多少人使用，但我会继续更新迭代以达到我的目标。如果你们喜欢，请帮我赞助我 BUZZ，帮忙点点赞、多评论、多返图就好了。As you can see, this model reflects my personal interest in drawing feet. However, if you think this is a foot-specialized model, you're mistaken. The model's strength lies not in drawing feet, but in optimizing texture, semantic understanding, and skin texture with each version. My goal is to create a model that can produce anime-style art with realistic skin textures while minimizing the impact on other styles. This model might be niche and not widely used, but I will continue to update and iterate to achieve my goal. If you like it, please support me on BUZZ by liking, commenting, and sharing more images.<h2 id="model-usage-statement">Model Usage Statement</h2><ul><li>1. You are not allowed to host this model and its derivative versions (such as fusion model versions) on websites/applications that plan to earn income or donate. If you need to use this model and its derivative versions for commercial purposes (such as generative services, selling images, using images for public publication on short video platforms, etc.), please contact me through the website</li><li>2. You are not allowed to directly sell images generated by this model, unless you have made sufficient manual modifications to the image so that it can be fully recognized as your personal work in a legal sense. If you violate this provision, all legal consequences resulting from it shall be borne by you personally, and I am not responsible.</li><li>3. You cannot use this model to intentionally create or share illegal or harmful content for dissemination and output. Please abide by public order and good ethics, and</li></ul>

MiaoMiao Harem

⚠️ IMPORTANT: Usage Guide / 重要食用指南Model Output ParametersScheduler Euler Normal Euler a NormalSteps 30CFG Scale 4.0-6.0 推荐5.5Model Recommended Resolution 920x1536Positive Prompt （default ）<pre><code>masterpiece, best quality, score_7, safe,very aesthetic, masterpiece, best quality, ultra-detailed,pale_skin,fair_skin, high contrast,huge filesize,{此处添加提示词 Add Prompt here}</code></pre>Negative Prompt<pre><code>worst quality,low quality,score_1,score_2,score_3,artist name,
</code></pre>⚡ 二次采样优化 / Secondary Sampling Enhancement：高清放大不糊不炸，细节质感全面觉醒！针对 Anima 模型 在高分辨率二次放大过程中容易出现的 模糊、发花、线条脏乱、细节崩坏 等问题，我在 WebUI Forge Neo 中反复实测，终于调出了一套更加均衡稳定的二次采样参数方案。 这套设置可以在尽量保留原图角色结构、神态、构图与插画气质的同时，显著提升整体清晰度与细节质感——放大后不容易糊，不容易花，线条更稳，画面更干净，成图完成度更高。无论是：•角色立绘•半身插画•卡面封面•壁纸级高分辨率输出•细节要求更高的成稿场景都能获得更舒服的放大效果。直接按照下面蓝字链接的参数操作即可，基本就是当前 MiaoMiao Anima 版本较为平衡、稳定、实用的二次采样方案。<a target="_blank" rel="ugc" href="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2f95ba5a-8182-40c3-8148-3a3132996661/original=true/2f95ba5a-8182-40c3-8148-3a3132996661.jpeg">二次采样参数设置图</a>

miaomiaoHarem_anima10.safetensors

Anima_1.0

Anima_Base

v2.0

v1.95

v1.9

v1.8

Vpred 1.2

v1.75

v1.7

V-Pred_Dogma_1.1

V-Pred_Dogma_1.0

Vpred 1.1

v1.6G

BASE V1.0

v1.5b

v1.5a

v1.4

v1.3

PDXL1.0

v1.2

v1.1

MiaoMiao Harem Anima base 已上传这个版本是去风格化的 MiaoMiao Harem Anima 的基础版本对lora兼容性优于MiaoMiao Harem Anima 1.0出图参数延续MiaoMiao Harem Anima 1.0⚠️ IMPORTANT: Usage Guide / 重要食用指南Model Output ParametersScheduler Euler Normal Euler a NormalSteps 30CFG Scale 4.0-6.0 Model Recommended Resolution 920x1536Positive Prompt （default ）<pre><code>masterpiece, best quality, score_7, safe,very aesthetic, masterpiece, best quality, ultra-detailed,pale_skin,fair_skin, high contrast,huge filesize,{此处添加提示词 Add Prompt here}</code></pre>Negative Prompt<pre><code>worst quality,low quality,score_1,score_2,score_3,artist name,
</code></pre>⚡ 二次采样优化 / Secondary Sampling Enhancement：高清放大不糊不炸，细节质感全面觉醒！针对 Anima 模型 在高分辨率二次放大过程中容易出现的 模糊、发花、线条脏乱、细节崩坏 等问题，我在 WebUI Forge Neo 中反复实测，终于调出了一套更加均衡稳定的二次采样参数方案。 这套设置可以在尽量保留原图角色结构、神态、构图与插画气质的同时，显著提升整体清晰度与细节质感——放大后不容易糊，不容易花，线条更稳，画面更干净，成图完成度更高。无论是：•角色立绘•半身插画•卡面封面•壁纸级高分辨率输出•细节要求更高的成稿场景都能获得更舒服的放大效果。直接按照下面蓝字链接的参数操作即可，基本就是当前 MiaoMiao Anima 版本较为平衡、稳定、实用的二次采样方案。<a target="_blank" rel="ugc" href="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2f95ba5a-8182-40c3-8148-3a3132996661/original=true/2f95ba5a-8182-40c3-8148-3a3132996661.jpeg">二次采样参数设置图</a>

miaomiaoHarem_animaBase.safetensors

Hassaku aims to be an anime model with a bright, distinct, slightly 2.5D anime style. Join my <a target="_blank" rel="ugc" href="https://discord.gg/zSR5FcYWWE">Discord</a> for everything related to anime models and AI art. If you’d like to support my work, you can do so on <a target="_new" rel="ugc" href="https://subscribestar.adult/citrus-models">SubscribeStar</a> Every bit helps me continue making AI models and even an AI VTuber, which is currently in the works. <hr /><h3 id="how-to-use">How to Use</h3>You need to use ComfyUI or Forge Neo. 30-50 steps, CFG 4-6, recommended sampler er-sde. - Put @ in front of artist tags - Use lowercase for tags and spaces instead of underscores. - Recommended positive: "masterpiece, best quality, score_7,", but since masterpiece is altered, in some cases masterpiece is enough - Recommended negative: worst quality, low quality, score_1, score_2, score_3, blurry, jpeg artifacts, sepia," - When using a tag that is different between Danbooru and Gelbooru, prefer the Gelbooru version. <hr /><h3 id="supporters">Supporters</h3>Special thanks to my supporters: pttcot, SETI, Kodokuna and dataset captioners mariotheknight and tamashiicolle <hr /><h3 id="recommended-resolutions-for-anima">Recommended Resolutions for Anima</h3>Here are some resolution suggestions for Anima:<ul><li>1536 × 640</li><li>1344 × 768</li><li>1216 × 832</li><li>1152 × 896</li><li>1024 × 1024</li><li>896 × 1152</li><li>832 × 1216 — most recommended</li><li>768 × 1344</li><li>640 × 1536</li></ul>Larger resolutions are possible. Note: It is a Diffusion Transformer (DiT) model, it is less restrictive on sizes in compare to a Unet like Illustrious.<hr /><h3 id="version-and-license-info">Version and License Info</h3>V0.1: A small-scale style training test, intended to see how adaptive Anima is. License: <a target="_blank" rel="ugc" href="https://huggingface.co/circlestone-labs/Anima/blob/main/LICENSE.md">Anima</a>

Hassaku Anima

A small scale style finetune of anima, it was initially not meant to be released and was only a internal test. The training worked better than expected. I like the result so that I decided to release it. The model received style-set training focused on the tag "masterpiece". Only about 1/4 of the dataset included NL, using a mix of tags and natural language. Thanks to @mariotheknight and @tamashiicolle for helping me in captioning the datasets! Those sets was originally intended for KLEIN fine-tuning, but that experiment ended up failing over the course of 3months. The fine-tune target is Anima Base v1.0. Since this is not a style LoRA merge, but a model natively trained with a style, tags like traditional media, watercolor or @artist styles should still work normally without change. Test Notes for V0.1 The learning rate was too high, so around 1 in 10 images may show more noticeable limb issues or color bleeding. However, the overall base style in use with masterpiece looks better and closer to models like Illustrious, which was the intended direction. Disclaimer: Since this is not a forced LoRA-style merge, the style will vary, especially when generating characters.

hassakuAnima_v01.safetensors

hassakuAnima_v01_txt.safetensors

v0.1

Fine-tuned on Anima with my "Evolved" training strategy. This strategy is good at:<ul><li>Stable hands</li><li>Neutral art style to work with artist tags</li><li>Multiple characters</li></ul>For instruction of using Anima, please refer to: <a target="_blank" rel="ugc" href="https://civarchive.com/models/2458426/anima">https://civarchive.com/models/2458426/anima</a><hr />Recommended settings:<ul><li>Sampling method: Euler a</li><li>CFG: 4-5</li><li>Start with no negative prompt. Sample images were generated without negative prompt.</li><li>Prefix artist with @. E.g. "@big chungus". You must put @ in front of the artist. The effect will be very weak if you don't</li></ul>Sample images were created with Forge Neo (<a target="_blank" rel="ugc" href="https://github.com/Haoming02/sd-webui-forge-classic/tree/neo">https://github.com/Haoming02/sd-webui-forge-classic/tree/neo</a>), featuring native Anima support. Right-click and open any sample image in a new tab to download the original file with its generation metadata.推荐设置：<ul><li>采样方法：Euler a</li><li>CFG: 4-5</li><li>先尝试不使用负面提示词。示例图片都没有使用负面提示词。</li><li>在画师（或艺术家）名字前加上 @ 前缀。例如：“@big chungus”。你必须在画师名字前面加上 @，如果不这么做，效果会非常微弱。</li></ul>示例图片由原生支持 Anima 的 Forge Neo (<a target="_blank" rel="ugc" href="https://github.com/Haoming02/sd-webui-forge-classic/tree/neo">https://github.com/Haoming02/sd-webui-forge-classic/tree/neo</a>) 生成。右键并在新标签页中打开任意示例图片，即可下载带有生成参数的原图。

SilvermoonMix-Anima-Evolved

silvermoonmixAnima_v10.safetensors

<h1 id="dasiwa-anima">DaSiWa - Anima</h1>Refer to the <a target="_blank" rel="ugc" href="https://civarchive.com/models/2458426/anima?modelVersionId=2945208">official Anima page</a> for recommended parameters and documentation.<h2 id="why-i-made-this">🖤 Why I Made This</h2>Anima was hard to tame for me, so I wanted as always have a starting point for:<ul><li>🔥 Easy usage</li><li>☄️ Less prompting hassle</li><li>🌟 Enhanced Quality</li><li>👘 Better understanding style composition</li></ul><hr /><h2 id="workflow">🍒Workflow</h2>Not yet available.<h3 id="lora's">🍄LoRA's</h3>But: This checkpoint is not meant to replace all LoRAs, it is meant to:<ul><li>Perform better overall at his own</li><li>As easy as possible to use</li><li>With LoRAs to be more awesome</li></ul><hr /><h3 id="read-the-corresponding-announcements.">⚠️ Read the corresponding <a target="_blank" rel="ugc" href="https://civarchive.com/user/darksidewalker/articles">announcements</a>.</h3>📢 Make sure to check it out for in-depth information and a complex comparison!<hr /><h2 id="recommended-settings">🛠️ Recommended Settings</h2><ul><li>CFG 4-6</li><li>Euler/linear_quadratic | er_sde/simple</li><li>40-50 Steps</li></ul><h2 id="dependencies">Dependencies</h2>VAE and Text Encoder (CLIP) as separate files.<h2 id="closing-words">Closing words</h2>🤩 I want to thank all the fantastic other creators who made super nice LoRAs and concepts to play with! Support that awesome creators by using their LoRAs and post to their gallery and share the meta-data! ⚠️ I made all this with permissions or open-source resources (the time it is incorporated).I share as much insights as I can without compromising my work. I'm doing this for fun as my hobby and just do not want my hobby to be destroyed.More details can be obtained in the corresponding announcements! <hr />If you are into SLIME GIRLS check out <a target="_blank" rel="ugc" href="https://civarchive.com/models/2626756/slima">SLIMA</a> from @DustyDrab !💙<hr />If you would like to contribute in my awesome (😉) checkpoint or willing to share resources I'll gladly give credit! Just contact me!✅ All credits / resources are mentioned inside the announcements! - Since different versions may have different resources.<hr /><span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">YOU are responsible for outputs as always! If you make <a target="_blank" rel="ugc" href="https://civarchive.com/content/tos"><span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">ToS</a><span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px"> violating content and I get aware I WILL report this.<hr /><h2 id="disclaimer">Disclaimer</h2>This models are shared without warranties and with the condition that it is used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used.

DaSiWa - Anima

Credits<ul><li><a target="_blank" rel="ugc" href="https://civitai.red/user/motimalu">https://civitai.red/user/motimalu</a></li><li><a target="_blank" rel="ugc" href="https://civitai.red/user/circlestone_labs">https://civitai.red/user/circlestone_labs</a></li><li><a target="_blank" rel="ugc" href="https://civitai.red/user/agile363274">https://civitai.red/user/agile363274</a></li><li><a target="_blank" rel="ugc" href="https://civitai.red/user/DustyDrab">https://civitai.red/user/DustyDrab</a></li></ul>

dasiwaAnima_luminousLabyrinthV1.safetensors

dasiwaAnima_luminousLabyrinthV1_txt.safetensors

Luminous Labyrinth v1

Small 0.6B parameter base language model from Alibaba. Raw pretrained checkpoint (no instruction tuning). Used as lightweight text encoder in some diffusion workflows (e.g. Anima base, Cosmos derivatives). HG link: <a target="_blank" rel="ugc" href="https://huggingface.co/circlestone-labs/Anima/tree/main/split_files/text_encoders">https://huggingface.co/circlestone-labs/Anima/tree/main/split_files/text_encoders</a>

Qwen-3-0.6B base/anima

qwen306BBaseAnima_1.safetensors

couldn't find it soo... deleting after official one come out. Small 0.6B parameter base language model from Alibaba. Raw pretrained checkpoint (no instruction tuning). Used as lightweight text encoder in some diffusion workflows (e.g. Anima base, Cosmos derivatives). HG link: <a target="_blank" rel="ugc" href="https://huggingface.co/circlestone-labs/Anima/tree/main/split_files/text_encoders">https://huggingface.co/circlestone-labs/Anima/tree/main/split_files/text_encoders</a>

Qwen-3 0.6B base/animo

qwen306BBaseAnimo_0.safetensors

Files with SHA256: cd2a512003e2f9f3cd3c32a9c3573f820bb28c940f73c57b1ddaa983d9223eba