mirror of
https://github.com/comfyanonymous/ComfyUI.git
synced 2026-05-21 22:47:30 +08:00
be95871adc
* 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 |
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| .. | ||
| ace_lyrics_tokenizer | ||
| byt5_tokenizer | ||
| hydit_clip_tokenizer | ||
| llama_tokenizer | ||
| qwen25_tokenizer | ||
| qwen35_tokenizer | ||
| t5_pile_tokenizer | ||
| t5_tokenizer | ||
| ace15.py | ||
| ace_text_cleaners.py | ||
| ace.py | ||
| anima.py | ||
| aura_t5.py | ||
| bert.py | ||
| byt5_config_small_glyph.json | ||
| cogvideo.py | ||
| cosmos.py | ||
| ernie.py | ||
| flux.py | ||
| gemma4.py | ||
| genmo.py | ||
| hidream.py | ||
| hunyuan_image.py | ||
| hunyuan_video.py | ||
| hydit_clip.json | ||
| hydit.py | ||
| jina_clip_2.py | ||
| kandinsky5.py | ||
| llama.py | ||
| long_clipl.py | ||
| longcat_image.py | ||
| lt.py | ||
| lumina2.py | ||
| mt5_config_xl.json | ||
| newbie.py | ||
| omnigen2.py | ||
| ovis.py | ||
| pixart_t5.py | ||
| qwen35.py | ||
| qwen_image.py | ||
| qwen_vl.py | ||
| sa_t5.py | ||
| sam3_clip.py | ||
| sd2_clip_config.json | ||
| sd2_clip.py | ||
| sd3_clip.py | ||
| spiece_tokenizer.py | ||
| t5_config_base.json | ||
| t5_config_xxl.json | ||
| t5_old_config_xxl.json | ||
| t5_pile_config_xl.json | ||
| t5.py | ||
| umt5_config_base.json | ||
| umt5_config_xxl.json | ||
| wan.py | ||
| z_image.py | ||