Automatically decomposing a single anime illustration into front hair, back hair, clothes, and other layers with inpaint completion of hidden areas. Testing the LayerDiff + Marigold-based implementation.
After updating to AMD Software 26.3.1 on a GMKtec EVO-X2 (Ryzen AI Max+ 395), Vulkan backend fails to allocate device memory properly and falls back to CPU. Investigation and workaround by changing BIOS VRAM allocation from 48GB/16GB to 32GB/32GB.
Changes from v1 to v2 of Kana Chat, an AI agent built around official CLI wrappers. Covers dual-model router, Heartbeat memory, planner mode, image input, speech transcription, PWA push notifications, and the lessons learned from a month of daily use.
The three-stage pipeline of BERT perplexity scan → LLM judgment → escalation packaged as a cross-platform Python tool. The installer automatically downloads llama-server and GGUF models.
Bundling NDLOCR-Lite's DEIMv2 + PARSeq with ONNX Runtime Mobile in an iOS app to run camera capture → perspective correction → layout detection → text recognition → confidence-based correction entirely on device.
Attempting WAN 2.2 I2V video generation on Windows with RTX 4060 8GB VRAM. The 5B fp8 model had rough quality; the 14B Rapid distilled model with lowvram offloading was the practical solution.
Using tori29umai’s LoRA to automatically split facial parts, results from batching 28 images, and a log of running into the limits when attempting finer hair separation
Running LTX-2 and Wan 2.2 on an M1 Max 64GB. FP8 doesn't work on Metal, bypassed with GGUF. Wan 2.2 takes 82 minutes for a 2-second video. LTX-2's official pipeline produces NaN on MPS, and the KSampler fallback doesn't reach usable quality.
