manga_tone_v2.safetensors

592 MB · SafeTensor · fp32

<manga-tone-h3>

A LoRA that teaches MiniMax H3 (video + audio joint DiT) the manga screentone rendering style with motion: monochrome ink rendering, proper tone shading, and tone that holds up under dynamic camera movement and action. Usage - Trigger phrase: manga-tone rendering - Recommended strength: 1.0 (usable 0.8 - 1.2) - Standalone: res_multistep / simple, 14 steps - With turbo LoRA: euler / beta, 8 steps (ref2v turbo 8-step) or 4 steps (fl2v turbo 4-step), audio sigma shift 5 - Checkpoints: int8 and mixed int4/int8 pruned convrot conversions - Load through any H3 LoRA loader (H3LoraStack / LoraLoaderModelOnly) Example prompt: manga-tone rendering, a samurai draws his sword in a bamboo grove, dramatic low angle, speed lines What it does Without the LoRA, H3 renders "manga" prompts as grayscale anime with flat shading and little motion. With v2, outputs are monochrome with ink/midtone statistics inside the trained manga distribution, and motion is preserved under action prompts (measured +35% inter-frame motion vs v1 on a motion-heavy prompt, tone metrics unchanged). Training All training data is synthetic; no published or third-party artwork was used: - 714 static 5-frame crop clips from 58 AI-generated fictional manga pages, two crop scales - 80 animated clips: still crops animated by H3 itself (v1 + turbo), then cleaned frame-by-frame with a deterministic monochrome render pass - 6 windowed clips from two action reference videos produced by feeding the same fictional manga pages to Google Omni (x4 repeat) - LoRA rank 32 / alpha 32 on 208 projections, flow matching on the video stream, lr 5e-5 constant with warmup, 2000 steps, bf16, gradient checkpointing; v2 initialized from v1 - Audio stream masked in the loss; audio generation unchanged to first approximation but not guaranteed Notes - Tone dot frequency is learned relative to page scale (renders ~9 px period at 960 px canvas width). - Abstract motion-graphics tropes (layer decomposition, graphic animation) remain out of distribution for the base model; action/cinematic prompts play to this LoRA's strengths.

SHA256

11CA507D8EEC3FD469A5232AC6C8458A5EEDE1FA425AB8022814F8FCE7255399

ModelTrends.ai Model ID

#27046

Sampler

Euler

Steps

8

Seed

2024

Size

960x544