Restore original model card and extend it with AniSee V2

The previous commit replaced the model card wholesale, dropping the badge header, cover image, V1 preview gallery, workflow section and notes. This restores all of them and folds the V2 content into the original structure instead.

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README.md +387 -168
config.json +177 -177

README.md CHANGED Viewed

@@ -20,79 +20,96 @@ tags:
 - anisee
 ---
 # 🎨 AniSee
-**A personal anime model built on Anima.**
-Two generations · Four checkpoints · Tags + natural language · ComfyUI-ready · LoRA-friendly
-AniSee started as a full fine-tune of *Anima Preview3 Base* and has since moved onto the final
-*Anima v1.0 / v1.1* releases. Both generations live in this repo, because they are genuinely
-different things and some people will prefer the older one.
-Everything you need is here — the models, the Qwen text encoder and the Qwen-Image VAE.
-No hunting across repos.
 ---
 ## ⬇️ Which file do I download?
-| File | Built on | Steps / CFG | Pick it if |
-|---|---|---|---|
-| **`AniSee-V2-Turbo.safetensors`** ⭐ | anima-turbo-v1.1 | 12 / 1 | You want speed. ~6 s per image. **Start here.** |
 | **`AniSee-V2-Aesthetic.safetensors`** | anima-aesthetic-v1.1 | 40 / 4–5 | You want the best look out of the box |
 | **`AniSee-V2-Base.safetensors`** | anima-base-v1.0 | 40 / 4–5 | You want maximum variety, or you train LoRAs |
 | `anisee.safetensors` | Anima Preview3 Base | 40 / 4.5 | You are already on the classic Preview3 setup |
-All four are **diffusion model files**. You also need the text encoder and the VAE from this
-repo — both are included below.
-> An **all-in-one** build that packs model, text encoder and VAE into a single checkpoint
-> exists for V1 on [CivitAI](https://civitai.com/models/2628747/anisee). A V2 all-in-one is
-> planned.
 ---
-## 🖼️ Preview — the three V2 variants, same seed
-Each image below is one prompt rendered by all three V2 variants with the **seed locked
-identical**, so the only variable is the checkpoint. Order is **Base · Turbo · Aesthetic**,
-left to right.
-![seesee_elf — aerial silk](images/v2/comparison/01-seesee-elf-aerial-silk.webp)
-![seesee_kitsune — shrine](images/v2/comparison/03-seesee-kitsune-shrine.webp)
-![Dragon woman — beach](images/v2/comparison/05-dragon-woman-beach.webp)
-![Pure tag prompt — fox girl](images/v2/comparison/09-tags-fox-girl.webp)
-![Pixel art — jungle](images/v2/comparison/04-pixel-art-jungle.webp)
-The remaining comparisons are in [`images/v2/comparison/`](images/v2/comparison), and each
-variant has its own 20-image gallery in [`images/v2/turbo/`](images/v2/turbo),
-[`images/v2/aesthetic/`](images/v2/aesthetic) and [`images/v2/base/`](images/v2/base).
----
-## 🆕 What changed in V2
-V2 moves from Anima Preview3 onto the final Anima v1.0 / v1.1 releases, and it changes how the
-model was made.
-**V1 was a full fine-tune. V2 is not.** V2 is a **LoKr merge**: a LoKr network — linear 64 /
-alpha 64, conv 16 / alpha 16, full-rank, factor 4 — was trained for roughly 24,000 steps on
-`anima-base-v1.0`, then baked into three different Anima variants at strength 1.0. That is a
-lighter touch than a full fine-tune, and it is the honest description of what these files are.
-The upside of working that way: one training run gives three flavours. Same AniSee character,
-three foundations with genuinely different behaviour.
----
-## 🔬 How the three variants actually differ
-The three were run side by side across ten prompts — seven natural language, three pure
-Danbooru tags — with the seed locked identical across all three models. What came out of it:
 - **Turbo diverges the most.** On the same seed it lands on a different pose and framing far
   more often than Base and Aesthetic differ from each other. That is the distillation of the
@@ -107,116 +124,184 @@ Danbooru tags — with the seed locked identical across all three models. What c
 ---
-## 🔧 Installation (ComfyUI)
-Download the checkpoint you want plus the text encoder and the VAE, and drop them here:
-```
-ComfyUI/models/diffusion_models/   AniSee-V2-Turbo.safetensors
-ComfyUI/models/text_encoders/      qwen_3_06b_base.safetensors
-ComfyUI/models/vae/                qwen_image_vae.safetensors
-```
-Then wire up the standard Anima workflow:
-- **Load Diffusion Model** → `AniSee-V2-Turbo.safetensors`
-- **Load CLIP** → `qwen_3_06b_base.safetensors` (type: `stable_diffusion`)
-- **Load VAE** → `qwen_image_vae.safetensors`
-⚠️ These are diffusion model files, so use **Load Diffusion Model**, *not* the Checkpoint
-Loader. If you already run Anima you have the text encoder and the VAE already.
-### With `huggingface_hub`
-```python
-from huggingface_hub import hf_hub_download
-model = hf_hub_download("SeeSee21/AniSee", "AniSee-V2-Turbo.safetensors")
-te    = hf_hub_download("SeeSee21/AniSee", "text_encoders/qwen_3_06b_base.safetensors")
-vae   = hf_hub_download("SeeSee21/AniSee", "vae/qwen_image_vae.safetensors")
-```
 ---
-## ⚙️ Recommended settings
-Sampler `er_sde` with scheduler `simple` for every variant — neutral style, flat colours,
-sharp lines.
 | Checkpoint | Steps | CFG | Note |
-|---|---|---|---|
-| AniSee-V2-Turbo | 12 | 1 | Negative prompt has no effect at CFG 1 |
-| AniSee-V2-Aesthetic | 40 | 4–5 | Leave out `score_*` tags |
-| AniSee-V2-Base | 40 | 4–5 | Most neutral, most flexible |
-| anisee (v1) | 40 | 4.5 | The original recommendation |
-**CFG guide.** 4.0–5.0 is the sweet spot for the 40-step variants. Above 5.0 you start risking
-burnt images, especially with heavy quality tags. If results feel harsh, drop CFG slightly or
-cut down on quality tags.
 **On Aesthetic:** per the Anima documentation, skip `score_*` tags entirely — in both the
 positive and the negative prompt. The base is already high quality and score tags push it into
 slop territory. `masterpiece, best quality` is fine to keep.
-### Sampler alternatives
-| Sampler | Character |
-|---|---|
-| `er_sde` + `simple` | The default. Neutral, flat colours, sharp lines |
-| `euler_a` | Softer, thinner lines, slightly 2.5D, tolerates higher CFG |
-| `dpmpp_2m_sde_gpu` | Similar to er_sde but more creative; can get wild on short prompts |
 | `euler` | A bit more creative. Good on Turbo and Aesthetic, which are naturally stable |
 ---
-## 📐 Resolution
-| Use case | Resolution |
-|---|---|
-| ⭐ Square / general purpose | 1024 × 1024 |
-| Portrait / character art | 896 × 1152 or 832 × 1216 |
-| Landscape / scenes | 1152 × 896 |
-| Wider cinematic | 1254 × 836 |
-| Widescreen | 1365 × 768 |
-Stay around 1 MP for the cleanest results. Anima works between 512² and 1536², but starts
-breaking down somewhere around 2 MP — generate at 1 MP and upscale afterwards for bigger images.
 ---
-## 💡 Prompting
-AniSee inherits Anima's prompting system and accepts Danbooru-style tags, natural language, and
-any mix of the two.
 ```
-[quality tags] [meta tags] [safety tag] [subject] [character]
-[appearance] [pose] [clothing] [background] [lighting] [style]
 ```
-### Tag rules inherited from Anima
-- Lowercase tags, spaces instead of underscores
-- Score tags are the only ones using underscores, e.g. `score_7`
-- Artist tags need an `@` prefix, e.g. `@artistname` — without it the effect is very weak
 - Where a tag differs between Danbooru and Gelbooru, prefer the Gelbooru spelling
 - Prompt weighting works but needs heavier weights than SDXL, e.g. `(chibi:2)`
-### 🔑 V2 trigger words
-The V2 dataset was captioned in **natural language only**, so these want to be used in
-sentences rather than dropped in as bare tags:
 | Trigger | Concept |
-|---|---|
 | `seesee_elf` | White-haired elf |
 | `seesee_kitsune` | Fox woman |
-Give them a described setting, two sentences minimum. Very short prompts produce unpredictable
-results on Anima — the model fills the gaps with its own biases, and you may not like what it
-picks.
-### ✅ Good — mixed prompt
 ```
 masterpiece, best quality, score_7, highres, illustration, safe, 1girl,
@@ -225,7 +310,7 @@ at night, neon lights reflecting on wet asphalt, cinematic lighting,
 detailed anime illustration
 ```
-### ✅ Good — natural language
 ```
 masterpiece, best quality, score_7, highres, illustration.
@@ -238,21 +323,43 @@ detailed fabric shading, calm serene expression.
 ### ❌ Avoid
 ```
 anime girl, silver hair, hoodie
 ```
-Too sparse. Aim for a decent set of descriptive tags, or two or more sentences.
-### ⭐ Recommended positive prefix
 ```
 masterpiece, best quality, score_7, highres, illustration,
 ```
-On **Aesthetic**, drop the `score_7` and use `masterpiece, best quality,` on its own.
-### ⭐ Recommended negative prompt
 ```
 worst quality, low quality, score_1, score_2, score_3, artist name,
@@ -262,102 +369,214 @@ patreon username, web address, signature, watermark, artist name,
 censored, mosaic censoring
 ```
-If images come out flat or lose style, ease off the heavy weights — drop `(low quality:1.4)`
-back to plain `low quality`. On Aesthetic, remove the `score_*` terms. On Turbo at CFG 1 it is
-ignored entirely.
-### 🛡️ Safety tags
-Inherited from Anima. Use one in the positive prompt: `safe` (recommended default),
-`sensitive`, `nsfw`, or `explicit`.
 ---
-## 📁 Repository structure
 ```
-AniSee-V2-Turbo.safetensors          3.9 GB   V2, distilled foundation, 12 steps
-AniSee-V2-Aesthetic.safetensors      3.9 GB   V2, aesthetic foundation, 40 steps
-AniSee-V2-Base.safetensors           3.9 GB   V2, neutral foundation, 40 steps
-anisee.safetensors                   3.9 GB   V1, full fine-tune of Preview3
-text_encoders/qwen_3_06b_base.safetensors     Qwen3-0.6B text encoder
-vae/qwen_image_vae.safetensors                Qwen-Image VAE
-images/v2/comparison/                 10 three-way comparisons
-images/v2/turbo/                      20 samples
-images/v2/aesthetic/                  20 samples
-images/v2/base/                       20 samples
-images/                               V1 gallery
-workflows/                            ComfyUI workflows
-config.json                           Model metadata
 ```
 ---
-## 📈 Version history
-### V2 — LoKr merge onto Anima v1.0 / v1.1
-- Three variants released together: Turbo, Aesthetic, Base
-- LoKr network — linear 64 / alpha 64, conv 16 / alpha 16, full-rank, factor 4
-- ~24,000 training steps on `anima-base-v1.0`, merged at strength 1.0
-- Natural-language-only dataset; trigger words `seesee_elf` and `seesee_kitsune`
-- Diffusion model files — text encoder and VAE included in this repo
-- Moves off Anima Preview3 onto the final Anima v1.0 / v1.1 releases
-### v1.0 — initial release
-- Full fine-tune of Anima Preview3 Base, ~20,000 steps on a curated anime dataset
-- LLM adapter only very lightly co-trained, per Anima's fine-tuning guidelines
-- Drop-in replacement for `anima-preview3-base.safetensors`
 ---
-## 🗺️ Roadmap
-**✅ Released** — AniSee v1, AniSee V2 (Turbo, Aesthetic, Base)
-**🔜 Planned**
-- **AniSee V2 AIO** — an all-in-one build of V2, so V2 gets the same one-file convenience the
-  V1 AIO has on CivitAI
-- **Official AniSee ComfyUI workflow** — a dedicated workflow, though the standard Anima
-  workflow already covers both generations
 ---
 ## 🔗 Links
-- [AniSee on CivitAI](https://civitai.com/models/2628747/anisee) — including the V1 all-in-one build
-- [AniSee sample gallery](https://anisee.anisee.workers.dev/)
-- [Anima by CircleStone Labs](https://huggingface.co/circlestone-labs/Anima) — the base model
 ---
 ## 🙏 Credits
-- **Base model:** Anima by CircleStone Labs and Comfy Org — Preview3 Base for V1, v1.0 / v1.1 for V2
-- **Architecture:** built on NVIDIA Cosmos-Predict2-2B; Anima is a derivative model
-- **Fine-tune and merges:** SeeSee21
 ---
 ## 📜 License
-AniSee inherits the **CircleStone Labs Non-Commercial License** from Anima. The model and its
-derivatives may be used for non-commercial purposes only. As a derivative of
-Cosmos-Predict2-2B-Text2Image, the **NVIDIA Open Model License Agreement** also applies insofar
-as it covers derivative models.
-**Generated images are not covered by that restriction.** You may use the images you make
-commercially — selling images, paid commissions, concept art or assets for a paid product are
 all fine. What needs a separate license is hosting the model behind a paid API, embedding the
 weights in a monetized product, or running it on a paid generation platform.
-For commercial licensing of the base model, contact CircleStone Labs at `tdrussell@circlestone.ai`.
 ---
-*AniSee — a personal anime model built on Anima.* 🎨

 - anisee
 ---
+<div align="center">
 # 🎨 AniSee
+### Personal Anime Model built on Anima
+**Two Generations • Clean Anime Aesthetics • Tag + Natural Language • Anima-Compatible**
+**Diffusion Models • 1 MP Native • LoRA-friendly**
+<br>
+<a href="https://civitai.red/models/2628747/anisee">
+  <img src="https://img.shields.io/badge/CivitAI-AniSee-EC4899?style=for-the-badge&logoColor=white" alt="CivitAI">
+</a>
+<a href="https://anisee.anisee.workers.dev/">
+  <img src="https://img.shields.io/badge/🎨_Sample_Gallery-Explore-D63384?style=for-the-badge" alt="Sample Gallery">
+</a>
+<a href="https://huggingface.co/circlestone-labs/Anima">
+  <img src="https://img.shields.io/badge/Base_Model-Anima-FFD21E?style=for-the-badge&logo=huggingface&logoColor=black" alt="Base Model: Anima">
+</a>
+<a href="#-license">
+  <img src="https://img.shields.io/badge/License-Non--Commercial-A02060?style=for-the-badge" alt="License">
+</a>
+<br><br>
+<img src="https://huggingface.co/SeeSee21/AniSee/resolve/main/images/cover.png" alt="AniSee Cover" width="100%">
+</div>
 ---
 ## ⬇️ Which file do I download?
+| Checkpoint | Built on | Steps / CFG | Pick it if |
+| --- | --- | --- | --- |
+| **`AniSee-V2-Turbo.safetensors`** ⭐ | anima-turbo-v1.1 | **12 / 1** | You want speed — ~6 s per image. **Start here.** |
 | **`AniSee-V2-Aesthetic.safetensors`** | anima-aesthetic-v1.1 | 40 / 4–5 | You want the best look out of the box |
 | **`AniSee-V2-Base.safetensors`** | anima-base-v1.0 | 40 / 4–5 | You want maximum variety, or you train LoRAs |
 | `anisee.safetensors` | Anima Preview3 Base | 40 / 4.5 | You are already on the classic Preview3 setup |
+All four are **diffusion model files**. The **Qwen text encoder** and the **Qwen-Image VAE** are
+included in this repo — no hunting across repos.
+> An **all-in-one** build that packs model, text encoder and VAE into a single checkpoint exists
+> for V1 on [CivitAI](https://civitai.red/models/2628747/anisee). A V2 all-in-one is planned.
 ---
+## 🖼️ Preview Gallery
+Browse the full curated set of sample images on the dedicated gallery page:
+<div align="center">
+  <a href="https://anisee.anisee.workers.dev/">
+    <img src="https://img.shields.io/badge/🎨_Open_Sample_Gallery-anisee.anisee.workers.dev-D63384?style=for-the-badge" alt="Sample Gallery">
+  </a>
+</div>
+|  |  |  |
+| :---: | :---: | :---: |
+| ![AniSee preview 1](https://huggingface.co/SeeSee21/AniSee/resolve/main/images/1.png)  | ![AniSee preview 2](https://huggingface.co/SeeSee21/AniSee/resolve/main/images/2.png)  | ![AniSee preview 3](https://huggingface.co/SeeSee21/AniSee/resolve/main/images/3.png)  |
+| ![AniSee preview 4](https://huggingface.co/SeeSee21/AniSee/resolve/main/images/4.png)  | ![AniSee preview 5](https://huggingface.co/SeeSee21/AniSee/resolve/main/images/5.png)  | ![AniSee preview 6](https://huggingface.co/SeeSee21/AniSee/resolve/main/images/6.webp) |
+| ![AniSee preview 7](https://huggingface.co/SeeSee21/AniSee/resolve/main/images/7.webp) | ![AniSee preview 8](https://huggingface.co/SeeSee21/AniSee/resolve/main/images/8.png)  | ![AniSee preview 9](https://huggingface.co/SeeSee21/AniSee/resolve/main/images/9.png)  |
+| ![AniSee preview 10](https://huggingface.co/SeeSee21/AniSee/resolve/main/images/10.png) | ![AniSee preview 11](https://huggingface.co/SeeSee21/AniSee/resolve/main/images/11.webp) | ![AniSee preview 12](https://huggingface.co/SeeSee21/AniSee/resolve/main/images/12.webp) |
+---
+## 🔬 V2 Side by Side — Base · Turbo · Aesthetic
+Each image below is **one prompt rendered by all three V2 variants with the seed locked
+identical**, so the only variable is the checkpoint. Order is **Base · Turbo · Aesthetic**,
+left to right.
+<img src="https://huggingface.co/SeeSee21/AniSee/resolve/main/images/v2/comparison/01-seesee-elf-aerial-silk.webp" alt="seesee_elf — aerial silk" width="100%">
+<img src="https://huggingface.co/SeeSee21/AniSee/resolve/main/images/v2/comparison/03-seesee-kitsune-shrine.webp" alt="seesee_kitsune — shrine" width="100%">
+<img src="https://huggingface.co/SeeSee21/AniSee/resolve/main/images/v2/comparison/05-dragon-woman-beach.webp" alt="Dragon woman — beach" width="100%">
+<img src="https://huggingface.co/SeeSee21/AniSee/resolve/main/images/v2/comparison/09-tags-fox-girl.webp" alt="Pure tag prompt — fox girl" width="100%">
+<img src="https://huggingface.co/SeeSee21/AniSee/resolve/main/images/v2/comparison/04-pixel-art-jungle.webp" alt="Pixel art — jungle" width="100%">
+The remaining comparisons live in [`images/v2/comparison/`](./images/v2/comparison), and each
+variant has its own 20-image gallery in [`images/v2/turbo/`](./images/v2/turbo),
+[`images/v2/aesthetic/`](./images/v2/aesthetic) and [`images/v2/base/`](./images/v2/base).
+**What the ten test prompts showed:**
 - **Turbo diverges the most.** On the same seed it lands on a different pose and framing far
   more often than Base and Aesthetic differ from each other. That is the distillation of the
 ---
+## ✨ What is AniSee?
+AniSee is a personal anime model built on **Anima** by CircleStone Labs, retrained on my own
+curated dataset to push the model further into a cleaner, more focused anime aesthetic.
+It exists in two generations, and both live in this repo:
+**V1** is a **full fine-tune** of *Anima Preview3 Base* — around 20K training steps, with the
+LLM adapter only very lightly co-trained, following the official Anima fine-tuning guidelines.
+It is not a LoRA merge.
+**V2** moves onto the final *Anima v1.0 / v1.1* releases and uses a different method. V2 is a
+**LoKr merge**: a LoKr network — linear 64 / alpha 64, conv 16 / alpha 16, full-rank, factor 4 —
+was trained for roughly 24,000 steps on `anima-base-v1.0`, then baked into three different Anima
+variants at strength 1.0. That is a lighter touch than a full fine-tune, and it is the honest
+description of what those files are. The upside: one training run gives three flavours, each
+with genuinely different behaviour.
+The goal in both generations is to keep everything that makes Anima a strong illustration base:
+- Danbooru-style tags
+- Natural language prompts
+- Mixed prompts
+- Full Qwen text encoder support
+- Qwen-Image VAE
+- Anima-compatible generation behavior
+while shifting the default style toward a stronger, cleaner anime look in line with my other
+checkpoints.
+AniSee is mainly intended for:
+- Anime-style illustrations
+- Character-focused images
+- Cleaner anime aesthetics
+- Style experiments
+- Testing Anima-based fine-tunes inside ComfyUI
+---
+## 🎯 Key Features
+- ✅ **Three V2 variants** from one training run — Turbo, Aesthetic and Base
+- ✅ **Turbo runs at 12 steps / CFG 1** — around 6 seconds per image
+- ✅ V1 remains available as a **full fine-tune** of Anima Preview3 Base
+- ✅ Clean, focused anime aesthetics
+- ✅ Supports Danbooru-style tags, natural language, and mixed prompts
+- ✅ Compatible with the standard Anima ComfyUI workflow
+- ✅ Uses the existing **Qwen text encoder** + **Qwen-Image VAE** — included in the repo
+- ✅ LoRA training friendly — same base architecture as Anima
+- ✅ Official ComfyUI workflow included, with auto quality prefix and Qwen3-VL prompt enhancer
+---
+## 🗺️ AniSee Roadmap
+### ✅ Released
+#### 🎨 AniSee V1
+Full fine-tune of Anima Preview3 Base — Diffusion Model variant. The foundation of the AniSee
+family. An all-in-one build of V1 is available on CivitAI.
+#### 🚀 AniSee V2 — Turbo, Aesthetic and Base
+LoKr merge onto the final Anima v1.0 / v1.1 releases, in three variants.
+#### 🔧 Official AniSee ComfyUI Workflow
+A dedicated workflow with the auto-prefix, optional Qwen3-VL prompt enhancer, LoRA support and
+Ultimate SD Upscale is included in this repo under
+[`workflows/anisee-workflow-SDUltimate.json`](./workflows/anisee-workflow-SDUltimate.json).
+### 🔜 Planned
+#### 📦 AniSee V2 AIO
+All-in-one V2 checkpoint with **Diffusion Model + Qwen Text Encoder + Qwen-Image VAE** in a
+single file, so V2 gets the same one-file convenience the V1 AIO already has.
+More updates coming as testing progresses! 🎨
 ---
+## ⚙️ Recommended Settings
+Sampler `er_sde` with scheduler `simple` for every variant — neutral style, flat colors, sharp
+lines.
 | Checkpoint | Steps | CFG | Note |
+| --- | :---: | :---: | --- |
+| **AniSee-V2-Turbo** | 12 | 1 | The negative prompt has no effect at CFG 1 |
+| **AniSee-V2-Aesthetic** | 40 | 4–5 | Leave out `score_*` tags |
+| **AniSee-V2-Base** | 40 | 4–5 | Most neutral, most flexible |
+| `anisee` (V1) | 40 | 4.5 | The original recommendation |
+```yaml
+# AniSee-V2-Turbo
+Steps:       12
+CFG:         1
+Sampler:     er_sde
+Scheduler:   simple
+Resolution:  ~1 MP   # e.g. 832×1216, 896×1152, 1024×1024
+```
+**CFG Guide:** 4.0–5.0 is the sweet spot for the 40-step variants. Going above 5.0 starts to
+risk burning the image, especially with heavy quality tags. If results feel too harsh, drop CFG
+slightly or reduce quality tag count.
 **On Aesthetic:** per the Anima documentation, skip `score_*` tags entirely — in both the
 positive and the negative prompt. The base is already high quality and score tags push it into
 slop territory. `masterpiece, best quality` is fine to keep.
+**Sampler alternatives** (all work well, just different character):
+| Sampler / Scheduler | Character |
+| --- | --- |
+| `er_sde` + `simple` *(default)* | Neutral style, flat colors, sharp lines |
+| `euler_a` | Softer, thinner lines, slightly more 2.5D feel, tolerates higher CFG |
+| `dpmpp_2m_sde_gpu` | Similar to er_sde but more "creative", can get wild on short prompts |
 | `euler` | A bit more creative. Good on Turbo and Aesthetic, which are naturally stable |
+Feel free to experiment — these are just starting points, not hard rules.
 ---
+## 📐 Resolution Guide
+| Use Case | Resolution |
+| --- | --- |
+| ⭐ Square / General purpose | **1024 × 1024** |
+| Portrait / Character art | **896 × 1152** or **832 × 1216** |
+| Landscape / Scenes | **1152 × 896** |
+| Wider cinematic | **1254 × 836** |
+| Widescreen | **1365 × 768** |
+Stay around **1 MP** for the cleanest results. The Anima base starts breaking down somewhere
+around 2 MP, so if you want bigger images, generate at 1 MP first and upscale afterwards.
 ---
+## 💡 Prompting Guide
+AniSee inherits Anima's prompting system. It accepts:
+- Danbooru / anime-style tags
+- Natural language prompts
+- Mixed prompts with tags + sentences
+A good prompt structure:
 ```
+[quality tags] [meta tags] [safety tag] [subject] [character] [appearance]
+[pose] [clothing] [background] [lighting] [style]
 ```
+**Important tag rules inherited from Anima**
+- Use lowercase for tags, spaces instead of underscores
+- Score tags are the only tags that use underscores, for example `score_7`
+- Artist tags must be prefixed with `@`, for example `@artistname` — without it the effect is
+  very weak
 - Where a tag differs between Danbooru and Gelbooru, prefer the Gelbooru spelling
 - Prompt weighting works but needs heavier weights than SDXL, e.g. `(chibi:2)`
+### 🔑 V2 Trigger Words
+The V2 dataset was captioned in **natural language only**, so these want to be used inside
+descriptive sentences rather than dropped in as bare tags:
 | Trigger | Concept |
+| --- | --- |
 | `seesee_elf` | White-haired elf |
 | `seesee_kitsune` | Fox woman |
+Give them a described setting, two sentences minimum.
+### ✅ Good (mixed prompt)
 ```
 masterpiece, best quality, score_7, highres, illustration, safe, 1girl,
 detailed anime illustration
 ```
+### ✅ Good (natural language)
 ```
 masterpiece, best quality, score_7, highres, illustration.
 ### ❌ Avoid
+Very short tag dumps like:
 ```
 anime girl, silver hair, hoodie
 ```
+The model can produce unexpected results when the prompt is too sparse — it fills the gaps with
+its own biases, and you may not like what it picks. Aim for at least a few descriptive tags or
+2+ sentences.
+---
+## ⭐ Recommended Positive Prefix
+Start every prompt with:
 ```
 masterpiece, best quality, score_7, highres, illustration,
 ```
+Then add your subject, character, scene, and style tags after that. On **AniSee-V2-Aesthetic**,
+drop the `score_7` and use `masterpiece, best quality,` on its own.
+You can also experiment with other quality tag combinations:
+```
+masterpiece, best quality, score_7, safe
+masterpiece, best quality, score_8, highres, official art
+score_9, masterpiece, absurdres, anime screenshot
+```
+---
+## ⭐ Recommended Negative Prompt
+This is the negative prompt I run with — it cleans up most common issues without being so
+aggressive that it kills the style:
 ```
 worst quality, low quality, score_1, score_2, score_3, artist name,
 censored, mosaic censoring
 ```
+If your images come out too flat or lose style, reduce the weights on the heavier terms, for
+example drop `(low quality:1.4)` back to `low quality`. On Aesthetic, remove the `score_*`
+terms. On Turbo at CFG 1 the negative prompt is ignored entirely.
+---
+## 🛡️ Safety Tags
+Inherited from Anima. Use one of these in the positive prompt:
+- `safe` — for normal generations, recommended default
+- `sensitive`
+- `nsfw`
+- `explicit`
 ---
+## 🔧 Installation
+### Step 1 — Download the files
+You need three files (all included in this repo):
+- One checkpoint — e.g. `AniSee-V2-Turbo.safetensors`
+- `text_encoders/qwen_3_06b_base.safetensors` — text encoder
+- `vae/qwen_image_vae.safetensors` — VAE
+### Step 2 — Place the files
+```
+ComfyUI/models/diffusion_models/
+└── AniSee-V2-Turbo.safetensors
+ComfyUI/models/text_encoders/
+└── qwen_3_06b_base.safetensors
+ComfyUI/models/vae/
+└── qwen_image_vae.safetensors
 ```
+If you already run **Anima**, you already have the text encoder and VAE — AniSee is a direct
+drop-in.
+### Step 3 — Load in ComfyUI
+Use the standard Anima workflow, or the official AniSee workflow from
+`workflows/anisee-workflow-SDUltimate.json`:
+- **Load Diffusion Model** → `AniSee-V2-Turbo.safetensors`
+- **Load Text Encoder** → `qwen_3_06b_base.safetensors`
+- **Load VAE** → `qwen_image_vae.safetensors`
+Then your usual sampler, encode, decode, save chain.
+⚠️ These are **diffusion model** files, so use **Load Diffusion Model** — *not* the Checkpoint
+Loader.
+### With `huggingface_hub`
+```python
+from huggingface_hub import hf_hub_download
+model = hf_hub_download("SeeSee21/AniSee", "AniSee-V2-Turbo.safetensors")
+te    = hf_hub_download("SeeSee21/AniSee", "text_encoders/qwen_3_06b_base.safetensors")
+vae   = hf_hub_download("SeeSee21/AniSee", "vae/qwen_image_vae.safetensors")
 ```
 ---
+## 🧩 Official Workflow
+<div align="center">
+  <img src="https://huggingface.co/SeeSee21/AniSee/resolve/main/images/anisee-workflow-cover.png" alt="AniSee Workflow" width="100%">
+</div>
+A ready-to-use ComfyUI workflow is included at [`workflows/anisee-workflow-SDUltimate.json`](./workflows/anisee-workflow-SDUltimate.json).
+It features:
+- 📦 Model + Text Encoder + VAE loaders pre-configured
+- 🔗 **Auto Quality Prefix** — no need to type `masterpiece, best quality, score_7, ...` yourself
+- 🎲 **Optional Qwen3-VL Prompt Enhancer** — converts short one-liners into full Danbooru tag lists
+- 📖 Optional **LoRA** stack via Lora Manager (one-click toggle)
+- 🔼 Optional **UltimateSDUpscale** 2× with side-by-side compare
+- 🎨 Pre-configured with `er_sde` / `simple` / 40 steps / CFG 4.5
+- ➖ Pre-loaded recommended negative prompt
+- 📝 Built-in MarkdownNote with all settings + quick reference
+> Using **AniSee-V2-Turbo**? Set the sampler to **12 steps / CFG 1** — the workflow ships with
+> the 40-step / CFG 4.5 defaults for the Base and Aesthetic variants.
+**Required custom nodes** (all installable via ComfyUI Manager):
+- [ComfyUI-Easy-Use](https://github.com/yolain/ComfyUI-Easy-Use)
+- [ComfyUI_UltimateSDUpscale](https://github.com/ssitu/ComfyUI_UltimateSDUpscale)
+- [ComfyUI-Lora-Manager](https://github.com/willmiao/ComfyUI-Lora-Manager)
+- [ComfyUI-QwenVL](https://github.com/1038lab/ComfyUI-QwenVL)
+- [rgthree-comfy](https://github.com/rgthree/rgthree-comfy)
+For the optional 2× upscaler, also place `4x-UltraSharp.pth` in `ComfyUI/models/upscale_models/`:
+- [OpenModelDB — 4x-UltraSharp](https://openmodeldb.info/models/4x-UltraSharp)
+- [HuggingFace — Kim2091/UltraSharp](https://huggingface.co/Kim2091/UltraSharp)
+---
+## 📁 Repository Structure
+```
+AniSee/
+├── README.md
+├── config.json
+│
+├── AniSee-V2-Turbo.safetensors           # V2, distilled foundation, 12 steps (~3.9 GB)
+├── AniSee-V2-Aesthetic.safetensors       # V2, aesthetic foundation, 40 steps (~3.9 GB)
+├── AniSee-V2-Base.safetensors            # V2, neutral foundation, 40 steps (~3.9 GB)
+├── anisee.safetensors                    # V1, full fine-tune of Preview3 (~3.9 GB)
+│
+├── text_encoders/
+│   └── qwen_3_06b_base.safetensors       # text encoder (same as Anima)
+│
+├── vae/
+│   └── qwen_image_vae.safetensors        # VAE (same as Anima)
+│
+├── images/
+│   ├── cover.png                         # social preview / model cover
+│   ├── anisee-workflow-cover.png         # workflow preview image
+│   ├── 1.png   2.png   3.png   4.png     # V1 gallery
+│   ├── 5.png   6.webp  7.webp  8.png
+│   ├── 9.png   10.png  11.webp 12.webp
+│   └── v2/
+│       ├── comparison/                   # 10 three-way comparisons
+│       ├── turbo/                        # 20 samples
+│       ├── aesthetic/                    # 20 samples
+│       └── base/                         # 20 samples
+│
+└── workflows/
+    └── anisee-workflow-SDUltimate.json
+```
 ---
+## 📈 Version History
+### V2 — LoKr merge onto Anima v1.0 / v1.1
+- Three variants released together: **Turbo**, **Aesthetic** and **Base**
+- LoKr network — linear 64 / alpha 64, conv 16 / alpha 16, full-rank, factor 4
+- ~24K training steps on `anima-base-v1.0`, merged at strength 1.0
+- Natural-language-only dataset; trigger words `seesee_elf` and `seesee_kitsune`
+- Moves off Anima Preview3 onto the final Anima v1.0 / v1.1 releases
+- Diffusion Model files — text encoder and VAE included in this repo
+### v1.0 — Initial Release
+- **AniSee Base** — full fine-tune of Anima Preview3 Base
+- ~20K training steps on a curated anime dataset
+- LLM adapter only very lightly co-trained *(following Anima's fine-tuning guidelines)*
+- Diffusion Model variant *(single `.safetensors` file)*
+- Compatible with the standard Anima ComfyUI workflow
+- Drop-in replacement for `anima-preview3-base.safetensors`
+- Includes the official ComfyUI workflow with auto quality prefix + Qwen3-VL prompt enhancer
 ---
 ## 🔗 Links
+- **CivitAI Page:** [civitai.red/models/2628747/anisee](https://civitai.red/models/2628747/anisee)
+- **Example Gallery:** [anisee.anisee.workers.dev](https://anisee.anisee.workers.dev/)
+- **Base Model:** [circlestone-labs/Anima](https://huggingface.co/circlestone-labs/Anima)
+- **Author:** [SeeSee21 on Hugging Face](https://huggingface.co/SeeSee21)
 ---
 ## 🙏 Credits
+- **Base Model:** [Anima](https://huggingface.co/circlestone-labs/Anima) by **CircleStone Labs**
+  and **Comfy Org** — Preview3 Base for V1, v1.0 / v1.1 for V2
+- **Underlying Architecture:** Built on NVIDIA Cosmos-Predict2-2B *(Anima is a "Derivative Model")*
+- **Fine-Tune and Merges:** SeeSee21
+- **Workflow Custom Nodes:** yolain, ssitu, Will Miao, AILab (1038lab), rgthree
 ---
 ## 📜 License
+AniSee inherits the **CircleStone Labs Non-Commercial License** from Anima. The model and
+derivatives are usable **only for non-commercial purposes**. As a derivative of
+Cosmos-Predict2-2B-Text2Image, the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/)
+also applies insofar as it covers Derivative Models.
+**Generated images are not covered by that restriction** — you may use the images you make
+commercially. Selling images, paid commissions, and concept art or assets for a paid product are
 all fine. What needs a separate license is hosting the model behind a paid API, embedding the
 weights in a monetized product, or running it on a paid generation platform.
+For commercial licensing of the base model, please contact CircleStone Labs at
+`tdrussell@circlestone.ai`.
 ---
+## ❤️ Notes
+AniSee is a personal anime-focused model built on Anima, made to bring a stronger anime look and
+visual direction in line with my other checkpoints.
+V1 was a full fine-tune of Preview3. V2 takes a different route — a LoKr merge onto the final
+Anima releases, which is what makes three variants from one training run possible. Both stay
+available here, because they behave differently and some people will prefer the older one.
+**AniSee — clean anime, built on Anima. 🎨**

config.json CHANGED Viewed

@@ -1,177 +1,177 @@
-{
-  "model_type": "anisee",
-  "architecture": "Cosmos-Predict2-2B (Anima Derivative)",
-  "parameters": "2B",
-  "license": "circlestone-labs-non-commercial",
-  "base_model": "circlestone-labs/Anima",
-  "base_model_relation": "finetune",
-  "author": "SeeSee21",
-  "pipeline_tag": "text-to-image",
-  "recommended_variant": "v2_turbo",
-  "prompting": {
-    "style": "tags + natural-language (mixed prompts supported)",
-    "negative_prompt_support": "full",
-    "recommended_prefix": "masterpiece, best quality, score_7, highres, illustration,",
-    "aesthetic_prefix_note": "On AniSee-V2-Aesthetic, omit score_* tags in both positive and negative.",
-    "tag_rules": {
-      "case": "lowercase",
-      "separator": "spaces (not underscores)",
-      "score_tags_exception": "score_7, score_8, etc. use underscores",
-      "artist_tags": "must be prefixed with @ (e.g. @artistname)",
-      "weighting": "works, but needs heavier weights than SDXL (e.g. (chibi:2))"
-    },
-    "trigger_words": {
-      "seesee_elf": "white-haired elf (V2 only)",
-      "seesee_kitsune": "fox woman (V2 only)"
-    },
-    "trigger_note": "The V2 dataset was captioned in natural language only. Use trigger words inside descriptive sentences, not as bare tags."
-  },
-  "variants": {
-    "v2_turbo": {
-      "file": "AniSee-V2-Turbo.safetensors",
-      "size": "~3.90 GB",
-      "generation": "V2",
-      "method": "LoKr merge",
-      "merged_into": "anima-turbo-v1.1",
-      "comfyui_path": "ComfyUI/models/diffusion_models/",
-      "recommended_settings": {
-        "steps": 12,
-        "cfg": 1,
-        "sampler": "er_sde",
-        "scheduler": "simple",
-        "resolution": "832x1216 (portrait, ~1 MP)"
-      },
-      "notes": "Fastest variant, ~6 s per image. The negative prompt has no effect at CFG 1."
-    },
-    "v2_aesthetic": {
-      "file": "AniSee-V2-Aesthetic.safetensors",
-      "size": "~3.90 GB",
-      "generation": "V2",
-      "method": "LoKr merge",
-      "merged_into": "anima-aesthetic-v1.1",
-      "comfyui_path": "ComfyUI/models/diffusion_models/",
-      "recommended_settings": {
-        "steps": 40,
-        "cfg": 4.5,
-        "sampler": "er_sde",
-        "scheduler": "simple",
-        "resolution": "832x1216 (portrait, ~1 MP)"
-      },
-      "notes": "Richest colour and softest light. Do not use score_* tags with this variant."
-    },
-    "v2_base": {
-      "file": "AniSee-V2-Base.safetensors",
-      "size": "~3.90 GB",
-      "generation": "V2",
-      "method": "LoKr merge",
-      "merged_into": "anima-base-v1.0",
-      "comfyui_path": "ComfyUI/models/diffusion_models/",
-      "recommended_settings": {
-        "steps": 40,
-        "cfg": 4.5,
-        "sampler": "er_sde",
-        "scheduler": "simple",
-        "resolution": "832x1216 (portrait, ~1 MP)"
-      },
-      "notes": "Most neutral and most flexible. The right foundation for training your own LoRAs."
-    },
-    "v1": {
-      "file": "anisee.safetensors",
-      "size": "~3.89 GB",
-      "generation": "V1",
-      "method": "full fine-tune",
-      "merged_into": "anima-preview3-base",
-      "comfyui_path": "ComfyUI/models/diffusion_models/",
-      "recommended_settings": {
-        "steps": 40,
-        "cfg": 4.5,
-        "sampler": "er_sde",
-        "scheduler": "simple",
-        "resolution": "832x1216 (portrait, ~1 MP)"
-      },
-      "notes": "Drop-in replacement for anima-preview3-base.safetensors."
-    }
-  },
-  "training": {
-    "v2": {
-      "method": "LoKr, merged at strength 1.0",
-      "network": {
-        "linear": 64,
-        "linear_alpha": 64,
-        "conv": 16,
-        "conv_alpha": 16,
-        "full_rank": true,
-        "factor": 4
-      },
-      "steps": "~24000",
-      "trained_on": "anima-base-v1.0",
-      "dataset": "curated dataset, natural-language captions only"
-    },
-    "v1": {
-      "method": "full fine-tune",
-      "steps": "~20000",
-      "trained_on": "anima-preview3-base",
-      "dataset": "curated anime dataset",
-      "adapter_co_training": "lightly co-trained (per Anima guidelines)"
-    }
-  },
-  "alternative_samplers": [
-    "euler_a",
-    "dpmpp_2m_sde_gpu",
-    "euler"
-  ],
-  "planned_variants": {
-    "v2_aio": {
-      "description": "All-in-one V2 checkpoint (model + text encoder + VAE in one file)",
-      "status": "planned"
-    }
-  },
-  "components": {
-    "text_encoder": {
-      "file": "text_encoders/qwen_3_06b_base.safetensors",
-      "description": "Anima / Qwen3 0.6B text encoder",
-      "comfyui_path": "ComfyUI/models/text_encoders/"
-    },
-    "vae": {
-      "file": "vae/qwen_image_vae.safetensors",
-      "description": "Qwen-Image VAE (inherited from Anima)",
-      "comfyui_path": "ComfyUI/models/vae/"
-    }
-  },
-  "comfyui_paths": {
-    "diffusion_models": "ComfyUI/models/diffusion_models/",
-    "text_encoders": "ComfyUI/models/text_encoders/",
-    "vae": "ComfyUI/models/vae/",
-    "upscale_models": "ComfyUI/models/upscale_models/"
-  },
-  "requirements": {
-    "custom_nodes": [
-      "ComfyUI-Easy-Use",
-      "ComfyUI_UltimateSDUpscale",
-      "ComfyUI-Lora-Manager",
-      "ComfyUI-QwenVL",
-      "rgthree-comfy"
-    ],
-    "optional_upscale_model": {
-      "file": "4x-UltraSharp.pth",
-      "sources": [
-        "https://openmodeldb.info/models/4x-UltraSharp",
-        "https://huggingface.co/Kim2091/UltraSharp"
-      ]
-    }
-  },
-  "supported_vram": "8GB+",
-  "links": {
-    "civitai": "https://civitai.com/models/2628747/anisee",
-    "gallery": "https://anisee.anisee.workers.dev/",
-    "base_model": "https://huggingface.co/circlestone-labs/Anima",
-    "author": "https://huggingface.co/SeeSee21"
-  },
-  "notes": [
-    "V1 is a full fine-tune of Anima Preview3 Base. V2 is a LoKr merge onto Anima v1.0 / v1.1 — a different method, not a fine-tune.",
-    "All checkpoints are diffusion model files: load with Load Diffusion Model, not the Checkpoint Loader.",
-    "The Qwen text encoder and the Qwen-Image VAE are included in this repo.",
-    "Tag rules: lowercase, spaces (not underscores), except score_7 etc. Artist tags prefixed with @.",
-    "An all-in-one V1 checkpoint is available on CivitAI; a V2 all-in-one is planned."
-  ]
-}

+{
+  "model_type": "anisee",
+  "architecture": "Cosmos-Predict2-2B (Anima Derivative)",
+  "parameters": "2B",
+  "license": "circlestone-labs-non-commercial",
+  "base_model": "circlestone-labs/Anima",
+  "base_model_relation": "finetune",
+  "author": "SeeSee21",
+  "pipeline_tag": "text-to-image",
+  "recommended_variant": "v2_turbo",
+  "prompting": {
+    "style": "tags + natural-language (mixed prompts supported)",
+    "negative_prompt_support": "full",
+    "recommended_prefix": "masterpiece, best quality, score_7, highres, illustration,",
+    "aesthetic_prefix_note": "On AniSee-V2-Aesthetic, omit score_* tags in both positive and negative.",
+    "tag_rules": {
+      "case": "lowercase",
+      "separator": "spaces (not underscores)",
+      "score_tags_exception": "score_7, score_8, etc. use underscores",
+      "artist_tags": "must be prefixed with @ (e.g. @artistname)",
+      "weighting": "works, but needs heavier weights than SDXL (e.g. (chibi:2))"
+    },
+    "trigger_words": {
+      "seesee_elf": "white-haired elf (V2 only)",
+      "seesee_kitsune": "fox woman (V2 only)"
+    },
+    "trigger_note": "The V2 dataset was captioned in natural language only. Use trigger words inside descriptive sentences, not as bare tags."
+  },
+  "variants": {
+    "v2_turbo": {
+      "file": "AniSee-V2-Turbo.safetensors",
+      "size": "~3.90 GB",
+      "generation": "V2",
+      "method": "LoKr merge",
+      "merged_into": "anima-turbo-v1.1",
+      "comfyui_path": "ComfyUI/models/diffusion_models/",
+      "recommended_settings": {
+        "steps": 12,
+        "cfg": 1,
+        "sampler": "er_sde",
+        "scheduler": "simple",
+        "resolution": "832x1216 (portrait, ~1 MP)"
+      },
+      "notes": "Fastest variant, ~6 s per image. The negative prompt has no effect at CFG 1."
+    },
+    "v2_aesthetic": {
+      "file": "AniSee-V2-Aesthetic.safetensors",
+      "size": "~3.90 GB",
+      "generation": "V2",
+      "method": "LoKr merge",
+      "merged_into": "anima-aesthetic-v1.1",
+      "comfyui_path": "ComfyUI/models/diffusion_models/",
+      "recommended_settings": {
+        "steps": 40,
+        "cfg": 4.5,
+        "sampler": "er_sde",
+        "scheduler": "simple",
+        "resolution": "832x1216 (portrait, ~1 MP)"
+      },
+      "notes": "Richest colour and softest light. Do not use score_* tags with this variant."
+    },
+    "v2_base": {
+      "file": "AniSee-V2-Base.safetensors",
+      "size": "~3.90 GB",
+      "generation": "V2",
+      "method": "LoKr merge",
+      "merged_into": "anima-base-v1.0",
+      "comfyui_path": "ComfyUI/models/diffusion_models/",
+      "recommended_settings": {
+        "steps": 40,
+        "cfg": 4.5,
+        "sampler": "er_sde",
+        "scheduler": "simple",
+        "resolution": "832x1216 (portrait, ~1 MP)"
+      },
+      "notes": "Most neutral and most flexible. The right foundation for training your own LoRAs."
+    },
+    "v1": {
+      "file": "anisee.safetensors",
+      "size": "~3.89 GB",
+      "generation": "V1",
+      "method": "full fine-tune",
+      "merged_into": "anima-preview3-base",
+      "comfyui_path": "ComfyUI/models/diffusion_models/",
+      "recommended_settings": {
+        "steps": 40,
+        "cfg": 4.5,
+        "sampler": "er_sde",
+        "scheduler": "simple",
+        "resolution": "832x1216 (portrait, ~1 MP)"
+      },
+      "notes": "Drop-in replacement for anima-preview3-base.safetensors."
+    }
+  },
+  "training": {
+    "v2": {
+      "method": "LoKr, merged at strength 1.0",
+      "network": {
+        "linear": 64,
+        "linear_alpha": 64,
+        "conv": 16,
+        "conv_alpha": 16,
+        "full_rank": true,
+        "factor": 4
+      },
+      "steps": "~24000",
+      "trained_on": "anima-base-v1.0",
+      "dataset": "curated dataset, natural-language captions only"
+    },
+    "v1": {
+      "method": "full fine-tune",
+      "steps": "~20000",
+      "trained_on": "anima-preview3-base",
+      "dataset": "curated anime dataset",
+      "adapter_co_training": "lightly co-trained (per Anima guidelines)"
+    }
+  },
+  "alternative_samplers": [
+    "euler_a",
+    "dpmpp_2m_sde_gpu",
+    "euler"
+  ],
+  "planned_variants": {
+    "v2_aio": {
+      "description": "All-in-one V2 checkpoint (model + text encoder + VAE in one file)",
+      "status": "planned"
+    }
+  },
+  "components": {
+    "text_encoder": {
+      "file": "text_encoders/qwen_3_06b_base.safetensors",
+      "description": "Anima / Qwen3 0.6B text encoder",
+      "comfyui_path": "ComfyUI/models/text_encoders/"
+    },
+    "vae": {
+      "file": "vae/qwen_image_vae.safetensors",
+      "description": "Qwen-Image VAE (inherited from Anima)",
+      "comfyui_path": "ComfyUI/models/vae/"
+    }
+  },
+  "comfyui_paths": {
+    "diffusion_models": "ComfyUI/models/diffusion_models/",
+    "text_encoders": "ComfyUI/models/text_encoders/",
+    "vae": "ComfyUI/models/vae/",
+    "upscale_models": "ComfyUI/models/upscale_models/"
+  },
+  "requirements": {
+    "custom_nodes": [
+      "ComfyUI-Easy-Use",
+      "ComfyUI_UltimateSDUpscale",
+      "ComfyUI-Lora-Manager",
+      "ComfyUI-QwenVL",
+      "rgthree-comfy"
+    ],
+    "optional_upscale_model": {
+      "file": "4x-UltraSharp.pth",
+      "sources": [
+        "https://openmodeldb.info/models/4x-UltraSharp",
+        "https://huggingface.co/Kim2091/UltraSharp"
+      ]
+    }
+  },
+  "supported_vram": "8GB+",
+  "links": {
+    "civitai": "https://civitai.red/models/2628747/anisee",
+    "gallery": "https://anisee.anisee.workers.dev/",
+    "base_model": "https://huggingface.co/circlestone-labs/Anima",
+    "author": "https://huggingface.co/SeeSee21"
+  },
+  "notes": [
+    "V1 is a full fine-tune of Anima Preview3 Base. V2 is a LoKr merge onto Anima v1.0 / v1.1 — a different method, not a fine-tune.",
+    "All checkpoints are diffusion model files: load with Load Diffusion Model, not the Checkpoint Loader.",
+    "The Qwen text encoder and the Qwen-Image VAE are included in this repo.",
+    "Tag rules: lowercase, spaces (not underscores), except score_7 etc. Artist tags prefixed with @.",
+    "An all-in-one V1 checkpoint is available on CivitAI; a V2 all-in-one is planned."
+  ]
+}