| --- |
| license: other |
| library_name: anima-edit |
| tags: |
| - anima |
| - controlnet |
| - controlnet-lllite |
| - anime |
| - image-restoration |
| - image-to-image |
| - denoise |
| - deblur |
| - tile |
| pipeline_tag: image-to-image |
| base_model: circlestone-labs/Anima |
| --- |
| |
| # Anima Tile & Repair ControlNet-LLLite |
|
|
| This repository contains the first public release of **Anima Tile & Repair ControlNet-LLLite**, a lightweight ControlNet-LLLite model for the Anima image model family. |
|
|
| The model is intended for anime image repair workflows. It is designed to provide tile/repair-style guidance for improving anime images affected by visible noise, blur, compression artifacts, or low-detail degradation, while keeping the original composition and character structure stable. |
|
|
| This is a **v1 release**. Future updates are planned. |
|
|
|  |
|
|
| ## Files |
|
|
| | File | Description | |
| | --- | --- | |
| | `anima_tiled_lllite_v1.safetensors` | Recommended v1 checkpoint. | |
| | `anima_tiled_lllite_v1-000002.safetensors` | Earlier training checkpoint. | |
| | `anima_tiled_lllite_v1-000004.safetensors` | Earlier training checkpoint. | |
| | `anima_tiled_lllite_v1-000006.safetensors` | Earlier training checkpoint. | |
| | `anima_tiled_lllite_v1-000008.safetensors` | Later training checkpoint before final export. | |
|
|
| ## Intended Use |
|
|
| Use this model as a ControlNet-LLLite guidance module together with an Anima-compatible generation or restoration workflow. |
|
|
| Typical use cases: |
|
|
| - repairing noisy anime images; |
| - reducing blur and softness; |
| - improving tiled/local detail consistency; |
| - restoring degraded anime-style images while preserving layout and character structure. |
|
|
| ## Usage Notes |
|
|
| The `anima-edit` project documentation describes ControlNet-LLLite as a lightweight alternative to ControlNet. Relevant inference options include: |
|
|
| - `--control_net_lllite_models`: path to the ControlNet-LLLite model file; |
| - `--control_net_multipliers`: guidance strength / multiplier; |
| - `--control_net_ratios`: step ratio during which ControlNet-LLLite is applied. |
|
|
| ControlNet and ControlNet-LLLite should not be used at the same time in the same workflow. |
|
|
| Example path usage: |
|
|
| ```bash |
| --control_net_lllite_models /path/to/anima_tiled_lllite_v1.safetensors \ |
| --control_net_multipliers 1.0 \ |
| --control_net_ratios 1.0 |
| ``` |
|
|
| The exact strength depends on the base Anima checkpoint, sampler, resolution, denoise strength, and the severity of the degradation. For a first test, start with a moderate multiplier and adjust upward only if the repair guidance is too weak. |
|
|
| ## Compatibility |
|
|
| This release is intended for Anima-based anime image restoration workflows and was prepared in the `anima-edit` ecosystem. |
|
|
| Anima uses a DiT-style architecture with a Qwen3 text encoder / adapter stack and Qwen-Image VAE components. This ControlNet-LLLite checkpoint is not a standalone image model; it must be loaded as an auxiliary guidance model in a compatible workflow. |
|
|
| ## Limitations |
|
|
| - This is an early v1 release. |
| - It is focused on anime image repair, not general photographic restoration. |
| - Strong guidance may alter fine details or over-sharpen images. |
| - Results depend heavily on the base Anima model and the surrounding inference pipeline. |
|
|
| ## Release Notes |
|
|
| ### v1 |
|
|
| Initial release of Anima Tile & Repair ControlNet-LLLite for anime denoising, deblurring, and tiled repair guidance. |
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|
| Future versions may include improved robustness, more training data, and updated checkpoints. |
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|
