Name: FWAI ANIMA Magic
Author: JaceRaimi

SDXL Checkpoint

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Uploaded Apr 27, 2026

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Used 1.4K times

Description

💡 Support & Official Links

Note: If you enjoy my model content, please support me with a donation on my Kofi page. Your support helps me continue developing tools and models for everyone. Download links for the models will be available on my Kofi page for users who support the development of my models, allowing them to be used locally. Thank you for your attention.

https://ko-fi.com/jaceraimi

This model is officially presented by Jace Raimi on the following pages:

https://tensorhub.art/models/992095100488169536

https://tensor.art/models/992095100488169536

https://www.seaart.ai/es/models/detail/d78ivide878c739gkp8g

https://tungsten.run/model/7nwHdDucqa?model_version=Daoixf7xcY

https://yodayo.com/models/06aa64d1-5e56-49cb-b0b3-096b21bf2d07?index=1&modelversion=fb37b6a9-c107-412e-96a4-c1bf878d965c

https://moescape.ai/models/06aa64d1-5e56-49cb-b0b3-096b21bf2d07?index=1&modelversion=fb37b6a9-c107-412e-96a4-c1bf878d965c

📜 Changelog — FWAI_ANIMA_Magic_v1.8.6_(R2) [All‑in‑One Build]

⚙️ Core Architecture

Built on Anima: https://huggingface.co/circlestone-labs/Anima
Uses the anima-preview3-base.safetensors variant as the foundation.
This release is stable and production‑ready .
Packaged as a single .safetensors file, combining the Text Encoder (Qwen3) and Qwen‑Image VAE inside the checkpoint.
This “combo build” ensures compatibility with platforms like https://tungsten.run/ , which do not allow normal Anima model uploads.

📦 Integrated Package Included inside the single‑file bundle:

Text Encoder (Qwen3) → https://huggingface.co/circlestone-labs/Anima/tree/main/split_files/text_encoders
Qwen‑Image VAE → https://huggingface.co/circlestone-labs/Anima/tree/main/split_files/vae
By consolidating everything into one file, users avoid handling multiple separate files. This simplifies portability and guarantees recognition by Tungsten’s backend.

🎨 Style and Tags

Enhanced anime style: more detailed, screen‑cap quality, with fine‑grained fidelity.
Improved integration of Danbooru‑style tags, enabling richer and more precise prompt control.
Better recognition of popular anime characters, with coherent poses and expressions.
More natural anatomy and consistent proportions across outputs.

✨ Quality Functions & Style Triggers

Implemented activation triggers for high‑quality rendering: masterpiece, best_quality, absurdres, anime_coloring, 2D, anime_screencap, official_artstyle, traditional_media, cinematic_lighting.
Added support for speech bubbles and signs in prompts:
- She has a speech bubble that says "insert text here."
- He has a speech bubble that says "insert text here."
- She's holding a rectangular sign out in front of her that reads "FWAI ANIMA MAGIC".
- He held a rectangular sign in front of him that read "FWAI ANIMA MAGIC".
Extended resolution support up to 2000 × 2000 , enabling 1080p outputs .
- Note: This feature is currently functional only in ComfyUI , as web platforms remain limited to Anima’s default resolutions.
Expanded Danbooru tag coverage for more natural English prompt triggers, similar to Illustrious workflows.

🛠️ Technical Improvements

Optimized inference for prompts with multiple tags.
Reduced artifacts in complex backgrounds and dynamic lighting scenes.
Improved balance between sharpness and smoothness in anime‑style renders.
Increased stability for long prompts and advanced tag combinations.

🚧 Notes

Fine‑tuning is still being tested, but this version already produces a flatter, more normal anime style compared to experimental builds.
Not compatible with SDXL, but adopts the single‑file packaging philosophy for easier distribution and reproducibility.
⚠️ Important : The all‑in‑one build is required only on https://tungsten.run/ due to platform limitations.
On other platforms, the split version is used normally: