| --- |
| 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. |
