Three LLMs converted the same 10 Japanese scene briefs into Anima (Qwen-DiT) prompts, generated as 60 fixed-seed images on an M1 Max with a merged 3-character LoRA. The Qwen-to-Qwen affinity hypothesis did not survive; a strict formatter brief with character-count locks is what actually moved the results, and two failure modes survive any prompt.
Tested on an M1 Max, NumPy only: Qwen maps a prompt to a JSON of knobs, and a 2D Kuramoto oscillator field renders it. No objects, but composition, color, and motion change with the prompt.
Merged kei, kana, and koharu into a single Anima (Qwen-DiT) LoRA and ran my first training on Blackwell (RTX 5090, sm_120). Hands-on log: the cu128 / torch2.8 / SDPA stack swap from the 4090, why the weakest character gets absorbed (caption asymmetry, not rank), and how trigger-only prompts separate three close-packed characters at ep143 without ControlNet.
Tested Qwen3.7 Plus on ModelScope: native function calling and parallel tool calls work. I built a tool loop, skills, and error recovery with just the openai SDK, then had it ship a working Flask BBS.
Tested Qwen3.7 Max and Plus proofreading a Japanese novel: both barely fix, split on quote punctuation and names, and the one 'typo' was a character name.
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.
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.
On Anima-Base, my character LoRA bent its legs even on standing. Adding upright references didn't fix it; cutting 36 posed full-body images did. Subtract, don't add.
Rebaked a WAI-Anima character LoRA onto upstream Anima-Base with off-distribution Gemini data. Trigger-only usable, face fidelity beats v1, intakes still cap out.
Tested on M1 Max 64GB ComfyUI: one character LoRA across 6 Anima derivatives, same prompt/seed. Trigger-only never stabilizes, RDBT bolts to beast-ears, structure tags fix it.
Anima is a Cosmos-based DiT, not SDXL, so one Anima LoRA loads on every derivative checkpoint. 20+ CivitAI Anima models sorted by type, aesthetic, and prompt adherence.
