olivv-cs-ComfyUI-FunPack/CHANGELOG.md

Changelog

Unreleased

• Distilled Flow samplers (experimental, untested on a real model): plain names in every ComfyUI sampler list, no settings. dflow_ord1 is Euler; dflow_ord2 reuses the last prediction for second order (no extra model calls); dflow_ord2_ab2 fades the second order in across the run. Sound riding in the latent stays first order. Back from 4.x; its extras (velocity bias, ALG, momentum, sharpness) are separate modules now.
• Sharpness (experimental): wins back fine detail in the last part of the run with any sampler that calls the model once per step; no extra model calls. Settings > Engine > Sampling. Not the spatial latent sharpening that was tried and removed in 4.x.

[5.0.0] "Cunning Cranberry" - 2026-10-16

A rewrite from scratch, not an update of 4.x. Same idea (a studio for video inside ComfyUI that learns from your ratings), new architecture: every feature is a module that announces itself, so a feature cannot be forgotten in the UI, a wire cannot be missed, and a failing optional feature module is left out while the run carries on. 4.x projects are not imported; see "Not carried over".

What it is

• A browser studio at /funpack/: timeline with one clip per scene, Composer (story in one box, cut word, templates, $variables, shortcuts), properties, media bin, preview, takes, rating, Export, Render, project wizard and guided tour.
• Models & Pipeline: the pipeline as cards. Pick files, swap or add nodes (any installed custom node), wire one node's output into another's input, import a ComfyUI workflow. The server refuses what would not build and says why.
• Modules (Settings ▸ Modules): each feature switches on or off on its own. A pipeline runs without an optional node whose module did not load, and says so. A module that fails during a run is left out of it, the log says why, and it stays off until its code changes and ComfyUI restarts, or you turn it back on.
• Learning from ratings: a Taste key remembers ratings; the guidance, steering and prompt modules that use them start acting once they have enough ratings (a few liked clips for some, ten or more rated clips for others; some also need disliked ones) and say so when they need more.

Models

• MiniMax H3: the model v5 is built and tested around. Presets for reference to video; works text-only (no source picture). A second-pass preset exists in the code but is not offered until it has been verified.
• Stable Diffusion 1.5: experimental.
• LTX 2.x: UNTESTED. Never run on a real LTX model, and nobody plans to test it soon. Presets and the module are marked UNTESTED, and LTX runs log the same notice. You are free to try it; please report problems in Issues.

Features

• Proven: prompt markup, empty latent, second pass (the H3 preset for it is held back), loaders (diffusion model, CLIP, VAE, LoRA, checkpoint, media), cut opening, decode, save video, anchor de-staticking (ALG), randomizer, DynaShift, first-step seed search, modifiers, sampler, detail, shot camera, prompt enhancer, Render, taste modules (slider, guidance, prompt nudge, attention, REINS, early guidance), shot memory, decisiveness, late-branch guidance, momentum, velocity bias.
• Experimental: continuity, identity transfer, negative erase, camera move, context windows, block influence, block repeat, phrase probe, shadow negative, video detail, temporal style, massive-activation steering, video-to-audio coupling, LoRA training.
• Prompt enhancer: a language model rewrites each finished prompt. Has its own encoder pick (Composer ▸ Enhance ▸ Encoder), because H3's own encoder cannot write prose. Verified with Gemma 4.
• Auto Montage: builds a new cut at the end of the timeline from your rendered clips; originals stay untouched, and the pieces are never regenerated or rated.
• Upscale a finished render with an upscale model (.safetensors) or NVIDIA RTX Super Resolution.
• LoRA training (add-on, Settings > Modules): a Training window with four steps. Data (optional): drop files, pick from your Bin, or take your rated results (Liked, Disliked, Bad composition, Bad image, All). Tags: a caption editor beside every picture, a tag cloud, bulk edits and automatic tagging with downloadable tagger models. Train: all the settings, a live loss graph, Pause and Resume, and previews: every N steps training waits while your own pipeline makes a picture or clip with the LoRA so far, then carries on. Results: past runs. It trains everything in the set. H3 (picture and sound together) uses the module's own training loop with ComfyUI carrying the batches; other models use ComfyUI's trainer, with the loaders in your pipeline. Experimental, and UNTESTED on real models or GPUs: proven only on tiny stand-in models on CPU.
• Add-ons (spaCy for automatic camera and focus, nvidia-vfx, onnxruntime for LoRA training) install on the next start after you switch them on.

Not carried over

• 4.x projects and saved settings are not imported: start new projects in 5. ComfyUI workflow files can still be imported in Models & Pipeline.
• Features that never proved out stay out: plateau step-cache, block steering, NVFP4 loader.
• The unwired Engine Appearance module (the theme lives in Settings ▸ Appearance). Settings saved while it existed are ignored, not refused.

Known limits

• LTX 2.x is untested (see Models).
• .gguf text encoders need the ComfyUI-GGUF node pack and work only for architectures it understands; otherwise they are refused with a message. Gemma 4 .gguf does not work; a loader for it may come later.
• H3 start frame: in the H3 preset the scene picture sets the video's shape only; a start frame is not part of it.
• H3 second pass is held back: not offered until verified.
• The ready-made pipelines need Save video, Load media, the loaders, the sampler and decode: if the module behind one of those fails to load, Generate names the missing node and refuses. The optional nodes (Enhance prompt, Shot camera, Prompt markup, Negative erase, Cut opening, Identity transfer) are skipped instead, with a note beside Generate, and their controls are hidden. Which nodes are optional is declared by the model module (MiniMax H3, LTX), so it applies while that module loads. The one exception: the Reference 1 picture of Identity transfer stays on screen and does nothing until the module is back.
• Turning some modules on switches the model compiler off for the run, which costs sampling time.

Docs

• How to start generating with FunPack.