AnalysisOpinion / analysisImage, Video & 3D Generation · Multimodal Models · Robotics & Embodied AI1 source · Oct 13, 2026

I trained two Anima ControlNet-LLLite models using 3D body poses and color regions

I trained two Anima ControlNet-LLLite models using 3D body poses and color regions.

Proof1 community thread

Key points

  • The 3D body pose model can control a character’s pose, while the color region model can distinguish the boundaries between multiple subjects.
  • I used u/kohyatech's sd-scripts for training.
  • I added useful nodes to my custom node package to make it easier to control the 3D pose and color region ControlNets more effectively.

Sources (1)

Extractive summary: sentences quoted from the sources.

Before this

  1. Oct 13, 2026Fish Audio Drama 3 Technical Report
  2. Oct 13, 2026Hybrid Reasoning Agents
  3. Oct 12, 2026LSearch - Spotlight for windows with embedding
  4. Oct 12, 2026epGen: open LoRA for LTX-2.5 that gives every sound in the video its own audio track (generation + separation, weights on HF)
  5. Oct 12, 2026AReA: Adaptive Receptive-Field Attention for Efficient High-Resolution Diffusion Transformers
  6. Oct 11, 2026Gemma4 E4B EXL3 - Alternative to Llama.cpp on Jetson Orin

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