#AI

Tested Boogu-Image-0.1 on an M1 Max 64GB ComfyUI: the fp8 build is rejected by MPS, so bf16 is mandatory, and Turbo runs ~70s per 1024px image. Notes on photoreal vs anime, bilingual text, and where NSFW stops.

After a US order pulled Claude Fable 5, which Chinese models drop into Claude Code? Kimi K2.7 Code, Qwen3.7 Max, DeepSeek V4 and GLM-5.1 — constraints, VRAM, benchmark caveats.

AWS WAF can now return 402 to AI bots and collect x402 USDC. For a small Vercel blog the math is rough: ~15,000 paid requests just to clear the $15/mo WAF + Bot Control floor.

M1 Max ComfyUI test of WAI-illustrious-HSWQ v17.0 base vs WAI v17. Fast mode took 28-34s, quality 64s, with Kana LoRA and cafe background checks.

Tested ZONOS2 on an 8GB RTX 4060 Laptop (WSL2): the 15.3GB bf16 weights run via Windows system-memory fallback, a KV-cache override, and the CUDA toolkit at ~1/20 realtime. Plus a Japanese name-accent gotcha with A/B audio.

AMIXA Async's MIX ANIMA tested on M1 Max ComfyUI against anima-base-v1.0/JANIMA with Anima LoRA, two-character prompts, Turbo, and native cafe scenes.

Tested on M1 Max ComfyUI: newly free JANIMA vs Hexer Minimal Toon Anima V1 vs anima-base, one character LoRA, same seed. Hexer keeps the outfit; JANIMA adds clothes but draws the quietest backgrounds.

Laxhar's U1 trainer needs 32GB+ GPU, bf16 only — 4bit broke gen tower. Prefix offload keeps ~20GB peak. 8-step LoRA stack, A3B MoE compat, official training code gap.

AFM 3 splits into 20B on-device sparse (NAND-to-DRAM weight loading) and Cloud Pro on Google Cloud NVIDIA GPU. Three Google contexts, Foundation Models API opening, and what's still unreleased.

Tested LFM2.5-1.2B-JP-202606 on M1 Max 64GB. llama.cpp Q4_K_M: 208 tok/s decode, JSON intact, model name hallucinated (LFM→FDM). Q8_0: 157 tok/s, no hallucination. Tool calls broken via GGUF.

rank128 + 20 two-character images killed the v1 ahoge bleed and body fusion on this Anima dual-character LoRA. Lap-sit stays a Qwen3 text-encoder limit; sweet spot is ep140.

One Anima (Qwen-Image DiT) LoRA, two characters, trained on RunPod: can they touch? Hugs and piggyback hold, lap-sit fuses; stacked limbs survive, interleaved break. Best at ep100, Turbo.