* Update language options in nodes_ace.py
Modified it to include all 51 language options ace-step1.5 supports instead of the original 23 comfyui had.
* re-arrange list by popularity
changed order of the languages to be ordered by popularity
en is default
unknown is last
* Update comfy_extras/nodes_ace.py
* initial gemma4 support
* parity with reference implementation
outputs can 100% match transformers with same sdpa flags, checkpoint this and then optimize
* Cleanup, video fixes
* cleanup, enable fused rms norm by default
* update comment
* Cleanup
* Update sd.py
* Various fixes
* Add fp8 scaled embedding support
* small fixes
* Translate think tokens
* Fix image encoder attention mask type
So it works with basic attention
* Handle thinking tokens different only for Gemma4
* Code cleanup
* Update nodes_textgen.py
* Use embed scale class instead of buffer
Slight difference to HF, but technically more accurate and simpler code
* Default to fused rms_norm
* Update gemma4.py
SolidMask had a hardcoded device="cpu" while other nodes (e.g.
EmptyImage) follow intermediate_device(). This causes a RuntimeError
when MaskComposite combines masks from different device sources
under --gpu-only.
- SolidMask: use intermediate_device() instead of hardcoded "cpu"
- MaskComposite: align source device to destination before operating
Co-authored-by: Alexis Rolland <alexisrolland@hotmail.com>
Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com>
* Change save 3d model's filename prefix to 3d/ComfyUI
As this node has already changed from `Save GLB` to `Save 3D Model`, using the filename prefix `3d` will be better than `mesh`
* use lowercase
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* initial RIFE support
* Also support FILM
* Better RAM usage, reduce FILM VRAM peak
* Add model folder placeholder
* Fix oom fallback frame loss
* Remove torch.compile for now
* Rename model input
* Shorter input type name
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Rename all 11 nodes in the utils/string category to include a "Text"
prefix for better discoverability and natural sorting. Regex nodes get
user-friendly names without "Regex" in the display name.
Renames:
- Concatenate → Text Concatenate
- Substring → Text Substring
- Length → Text Length
- Case Converter → Text Case Converter
- Trim → Text Trim
- Replace → Text Replace
- Contains → Text Contains
- Compare → Text Compare
- Regex Match → Text Match
- Regex Extract → Text Extract Substring
- Regex Replace → Text Replace (Regex)
All renamed nodes include their old display name as a search alias so
users can still find them by searching the original name. Regex nodes
also include "regex" as a search alias.
When training_dtype is set to "none" and the model's native dtype is
float16, GradScaler was unconditionally enabled. However, GradScaler
does not support bfloat16 gradients (only float16/float32), causing a
NotImplementedError when lora_dtype is "bf16" (the default).
Fix by only enabling GradScaler when LoRA parameters are not in
bfloat16, since bfloat16 has the same exponent range as float32 and
does not need gradient scaling to avoid underflow.
Fixes#13124
* Add Number Convert node for unified numeric type conversion
Consolidates fragmented IntToFloat/FloatToInt nodes (previously only
available via third-party packs like ComfyMath, FillNodes, etc.) into
a single core node.
- Single input accepting INT, FLOAT, STRING, and BOOL types
- Two outputs: FLOAT and INT
- Conversion: bool→0/1, string→parsed number, float↔int standard cast
- Follows Math Expression node patterns (comfy_api, io.Schema, etc.)
Refs: COM-16925
* Register nodes_number_convert.py in extras_files list
Without this entry in nodes.py, the Number Convert node file
would not be discovered and loaded at startup.
* Add isfinite guard, exception chaining, and unit tests for Number Convert node
- Add math.isfinite() check to prevent int() crash on inf/nan string inputs
- Use 'from None' for cleaner exception chaining on string parse failure
- Add 21 unit tests covering all input types and error paths
* CURVE node
* remove curve to sigmas node
* feat: add CurveInput ABC with MonotoneCubicCurve implementation (#12986)
CurveInput is an abstract base class so future curve representations
(bezier, LUT-based, analytical functions) can be added without breaking
downstream nodes that type-check against CurveInput.
MonotoneCubicCurve is the concrete implementation that:
- Mirrors frontend createMonotoneInterpolator (curveUtils.ts) exactly
- Pre-computes slopes as numpy arrays at construction time
- Provides vectorised interp_array() using numpy for batch evaluation
- interp() for single-value evaluation
- to_lut() for generating lookup tables
CurveEditor node wraps raw widget points in MonotoneCubicCurve.
* linear curve
* refactor: move CurveEditor to comfy_extras/nodes_curve.py with V3 schema
* feat: add HISTOGRAM type and histogram support to CurveEditor
* code improve
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Co-authored-by: Christian Byrne <cbyrne@comfy.org>
* Add slice_cond and per-model context window cond resizing
* Fix cond_value.size() call in context window cond resizing
* Expose additional advanced inputs for ContextWindowsManualNode
Necessary for WanAnimate context windows workflow, which needs cond_retain_index_list = 0 to work properly with its reference input.
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Alexis Rolland
Talmaj
Jukka Seppänen
iChrist
drozbay
Alvin Tang
Jedrzej Kosinski
Gilad Schreiber
Daxiong (Lin)
comfyanonymous
rattus
Terry Jia
Christian Byrne
Dante
Krishna Chaitanya
Kohaku-Blueleaf