Jukka Seppänen
be95871adc
feat: Gemma4 text generation support (CORE-30) ( #13376 )
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* 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
rattus
05f7531148
nodes_textgen: Implement use_default_template for LTX ( #13451 )
2026-04-17 12:20:09 -04:00
comfyanonymous
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 Seppänen
404d7b9978
feat: Support Qwen3.5 text generation models ( #12771 )
2026-03-25 22:48:28 -04:00
comfyanonymous
5f2117528a
Force min length 1 when tokenizing for text generation. ( #12538 )
2026-02-19 22:57:44 -05:00
Jukka Seppänen
6d11cc7354
feat: Add basic text generation support with native models, initially supporting Gemma3 ( #12392 )
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2026-02-18 20:49:43 -05:00
