---
license: other
license_name: circlestone-labs-non-commercial-license
base_model: Anima-Base-V1.0
tags:
- text-to-image
- controlnet
- depth
- anima
pipeline_tag: text-to-image
---

# Anima-ControlNet-VACE-Depth

A **depth ControlNet** for **Anima**,
trained with the **VACE** spaced-block-duplication + zero-conv architecture.

> ⚠️ **This release contains adapter weights only.** It is not a standalone
> model — you must load it together with the Anima base
> model.

---

## Training

Trained with sd-scripts by kohya-ss

| Setting | Value |
|---|---|
| Base Model | Anima-Base-V1.0 |
| Optimizer | AdamW (fp32 states), weight decay 0.01 |
| Learning rate | 5e-5, cosine, 500-step warmup |
| Effective batch | 16 |
| Steps | 20,000 |
| Resolution | 1024² |
| Precision | bf16 (full_bf16) |
| Flow shift | 5.0 (matches inference) |
| Loss | L2 on flow-matching velocity |
| Weighting | uniform |

## Tips

- **Depth source**: Use DepthAnything V2 for best performance, although this model is trained on a mix of different depth sources, and thus any popular depth preprocessor should in theory work.

## Usage
Supported for the moment in ComfyUI through my fork of [ComfyUI-Advanced-ControlNet](https://github.com/TaihoC/ComfyUI-Advanced-ControlNet-Anima/tree/feat/anima-vace-controlnet)

## Credits

- **Anima** - Circlestone Labs
- **sd-scripts** — kohya-ss.