---
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.

![COVER PAGE](https://cdn-uploads.huggingface.co/production/uploads/63d3a01ae149f591b950f5e8/VhM4W2pyJF0SmtfhYRGUz.png)

## 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.

Future versions may include improved robustness, more training data, and updated checkpoints.