digital-garbage and Claude Sonnet 5.5
34db2b331d
Reference sheet generator (optional module + dialog); leak report tests start from unwrapped ComfyUI functions
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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
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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
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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
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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
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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)
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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