Tested on M1 Max ComfyUI: two WAI-Anima character LoRAs in one image. Side-by-side works, but only non-overlapping inpaint keeps the design pixel-exact; Qwen-Image-Edit elongates the side ponytail even with training tags, and overlapping interaction poses jam at skeleton extraction.
WAI-Anima LoRA trained only on images the model itself made. Distribution shift drops to ~zero, so the sweet spot hits epoch 20 not 150 (7.5x faster). What the trigger bakes in vs what still needs tags, plus pose/angle control.
Hands-on with Tencent Hy-MT2 1.8B Q4_K_M (1.08GB) on M1 Max 64GB via llama-server. JSON, SRT, HTML, glossary, and minority-language prompts with full input-output pairs. The 1.25bit 440MB build does not load on stock llama.cpp 8990, and 30B-A3B (hy_v3) is not in the Mac route yet.
Tested on ComfyUI with Anima Turbo LoRA: hair intakes don't fire from the single tag. The 27-condition recipe — character NL reference + negative identity strip + (hair intakes:1.5) + 22.5° upper-front camera — also revealed the generic prompt was accidentally a Blue Archive character spec, and that Kanon's whole female cast has intakes as a cluster prior.
On M1 Max with Anima-Base v1.0 and WAI-Anima v1: the official negative is short. Trim the long Illustrious bad-hands list, move structure to positive tags, keep `safe` upfront.
Ran WAI-Anima v1.0 with a custom character LoRA on an M1 Mac to see if 2- and 3-character compositions actually hold up. Notes on what breaks and what holds at different LoRA weights, with practical settings that stay stable.
Tested on M1 Max 64GB: SetLatentNoiseMask returns unchanged images on Anima and Anima-Turbo with no error. LanPaint alone takes 32 min per image; adding Inpaint-CropAndStitch drops text inpaint to 2:31 and clothing replacement to about 7 min.
40GB+ VRAM for a 3B model. VBench 85.11 beats dedicated 14B video generators. RunPod GPU costs from $2.2/session. The 'unified' model still ships as two checkpoint files.
Why Google added BERT to search in 2019, how MLM training really works (15% mask, 80/10/10, WordPiece), and where encoder-only models still beat LLMs — rerank, classification, and OCR correction.
Khala open-source song generator needs 24GB+ NVIDIA VRAM, ~52GB weights, and still carries a 2026-05-07 quality warning. Notes on the 64-layer RVQ pipeline and generate API.
xAI x-algorithm second commit: Phoenix retrieval+ranking runs locally on 537k sports posts with 3GB artifacts. Ad blending and candidate isolation code added since January.
