19 Commits
Author SHA1 Message Date
digital-garbageandClaude Sonnet 5.5 34db2b331d Reference sheet generator (optional module + dialog); leak report tests start from unwrapped ComfyUI functions
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 00:50:31 +02:00
Claude 3adebb731f Rename FunPack to FunUI (5.0.3 Classy Chopper): /fun endpoint, wink logo, load-time migration of old names
Old project/workflow names and browser settings migrate on load; /funpack redirects to /fun.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016acRss69eH1235eRdFTZHY
2026-10-25 13:11:03 +00:00
Claude 1110194d22 Training: steps instead of tabs, walked with Back and Next; no way on to training with an empty set; Results leads back to the set and its tags
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-20 15:52:22 +00:00
Claude 354ca29e6a Training: a wizard-style modal with numbered steps, a title and line per step, and Back/Next and the run controls in the footer
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-20 15:39:57 +00:00
Claude 0da95575da LoRA training: preview strength setting, negative allowed
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-18 21:16:11 +00:00
Claude 797cbcc579 LoRA training: time per step, a graph of it, and the time spent in all (restarts included)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-18 00:15:41 +00:00
Claude c485c4f5df Training: the preset you pick stays picked when you change a setting after it
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-17 22:16:13 +00:00
Claude fb5c631c69 Training: Pausing and Stopping show beside the controls in Train, not with the graph in Results
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-17 21:23:04 +00:00
Claude 6372f11758 UI kit: a group holding one stack gets the same room from its edges; Training Results and Train breathe
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-17 21:13:01 +00:00
Claude 06f22c6176 Training Results: air between the rows, Restore and continue hides while a run goes on and returns after a failure
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-17 21:10:12 +00:00
Claude 3c421b2c1d LoRA training: fix resume in inference mode, Restore and continue, live graph in Results
The saved optimizer state was read in ComfyUI's inference mode, so the first optimizer step after a resume failed. It is copied to normal tensors first. A failed or stopped run keeps its saved state and Results offers Restore and continue. The graph, progress and previews of a running training moved from Train to Results; Train says where to look.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-17 20:54:49 +00:00
Claude 65a731584c LoRA training: save a copy of the LoRA every N steps as name_stepN
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-17 20:14:16 +00:00
Claude 2a68e5e4cd LoRA training: previews at chosen steps, Pause and Resume in the window; trains the whole set
Every N steps (Preview every) training waits, the pipeline makes a picture or clip with the LoRA so far
from the picked scene and the project's own settings, and training carries on from its saved state.
Pause and Resume work the same way by hand, with Preview now while paused. The What to learn choice is
gone: the Data step decides what is in the set. UNTESTED on real weights.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-17 20:12:09 +00:00
Claude 498eb731b6 feat: training learning rate defaults to musubi-tuner's 0.0001 and the H3 note carries its recipe
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-17 19:34:17 +00:00
Claude d0d572c4ec feat: block swap option for LoRA training and a per-block memory log in the backward pass
Block swap keeps the frozen weights of the last N transformer blocks in system
memory and lets ComfyUI's weight casting fetch them one layer at a time. The idea
and the block count as the one knob follow musubi-tuner's block swap (kohya-ss,
Apache License 2.0); this is an independent implementation.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-17 19:30:50 +00:00
Claude 45b60ac874 Training captions are plain text boxes; the set has its own prefix and postfix
Tags from the tagger are added after a comma and the caption is never reworded.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-17 18:38:03 +00:00
Claude a070ce9400 Training reads every clip for as many frames as the shortest gives, and allows up to 1025
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-17 18:30:50 +00:00
Claude d3a76a09f3 More settings in the Training window stays open while options change
Collapsible gains onToggle so a redraw keeps its open state.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-17 17:34:32 +00:00
Claude 7dfbcf3c1b Training window: data, tags, train and results steps; docs and changelog
Built only from kit elements. UNTESTED on real models or GPUs; backend proven on tiny stand-ins on CPU.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MpnF7GwNGMbngU11wjym7P
2026-10-17 15:18:38 +00:00