v0.1.0 — first tagged release

v0.1.0 — 2026-08-16

First tagged release. Extract references once as tiny .safetensors
"mods" and inject them through conditioning — no full video/image loading
every generation, no training.

Nodes

• Extract H3 RefMod — image / video / GIF → one small mod file. Modes:
  training (pooled concept/identity thumbnails; the pool dial trades
  concept ↔ identity) and encode (full-resolution VAE encode). Identity
  refinement steps, token cap with dedup, data multiplier for short clips,
  optional av_encoder input, and folder bulk-loading.
• Load H3 RefMods — LoRA-loader-style rows with a typed strength and a
  copies multiplier (2-10x — the manual row-duplication trick as a knob).
• Load H3 RefMod Axis — signed A/B sliders: negative picks the A mod,
  positive the B mod, one dial controls both.
• Load H3 RefMod Folder — every image/video in a folder as an ordered
  ref list.
• Apply H3 RefMod — one node for the pack's MINIMAX_H3_COND and the
  built-in CONDITIONING. retention master strength; a curve split into
  curve_direction (constant / concept_at_start / concept_at_middle /
  concept_at_end / concept_at_ends) + curve_shape (linear / ease /
  sigmoid / tanh / quadratic / cubic / exponential / stair / elastic /
  bump / dip) + curve_value; scramble_seed; optional curve-graph
  debug IMAGE output; shareable PNG graph presets (graph embedded in the
  image metadata, legacy .json still loads).
• H3 RefMod Step Curve — the same curve widgets, but over the denoise
  timeline: re-mixes every ref latent once per step (early steps lock
  composition/identity, late steps stay clean or refine detail) via a
  ComfyUI DIFFUSION_MODEL wrapper, attached between the model loader and
  the sampler.

Reference math

• Weakening a ref blends toward a blurred copy of itself instead of noise
  or zero — stays on the latent manifold, so no grey/static output.
• The per-frame curve mixes each ref latent frame with
  retention * curve(x) instead of one flat strength.
• Greedy temporal dedup + budget-fit resampling make the token cap cheap.

Misc

• extract_mod.py standalone CLI.
• Mods live in ComfyUI/models/refmods/ (created on first run, next to
  loras/ and unet/); older mods in the pack's mods/ folder still load.