---

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

Credits

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