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8 Commits
Author SHA1 Message Date
Jukka SeppänenandGitHub fc964047e7 feat: Support text generation with Qwen3-VL (CORE-276) (#14298) 2026-06-17 08:12:44 +08:00
Alexis RollandandGitHub 594de378fe Update nodes categories and display names (CORE-89) (#13786) 2026-05-08 01:02:55 -04:00
Jukka SeppänenandGitHub be95871adc feat: Gemma4 text generation support (CORE-30) (#13376) 
* 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
 2026-05-02 22:46:15 -04:00
rattusandGitHub 05f7531148 nodes_textgen: Implement use_default_template for LTX (#13451) 2026-04-17 12:20:09 -04:00
comfyanonymousandGitHub e9a2d1e4cc Add a way to disable default template in text gen node. (#13424)
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2026-04-15 22:59:08 -04:00
Jukka SeppänenandGitHub 404d7b9978 feat: Support Qwen3.5 text generation models (#12771) 2026-03-25 22:48:28 -04:00
comfyanonymousandGitHub 5f2117528a Force min length 1 when tokenizing for text generation. (#12538) 2026-02-19 22:57:44 -05:00
Jukka SeppänenandGitHub 6d11cc7354 feat: Add basic text generation support with native models, initially supporting Gemma3 (#12392) 2026-02-18 20:49:43 -05:00