From 2ab88496b54a36eb967da3c94a862aba699c5e0d Mon Sep 17 00:00:00 2001 From: City <125218114+city96@users.noreply.github.com> Date: Sat, 14 Dec 2024 22:15:25 +0100 Subject: [PATCH] Edit empty token logic --- comfy/sd1_clip.py | 8 ++++++-- comfy/text_encoders/pixart_t5.py | 10 +++++++--- 2 files changed, 13 insertions(+), 5 deletions(-) diff --git a/comfy/sd1_clip.py b/comfy/sd1_clip.py index fac26b07b..d0a7d7408 100644 --- a/comfy/sd1_clip.py +++ b/comfy/sd1_clip.py @@ -36,8 +36,12 @@ class ClipTokenWeightEncoder: sections = len(to_encode) if has_weights or sections == 0: - to_encode.append(gen_empty_tokens(self.special_tokens, max_token_len)) - + if hasattr(self, "gen_empty_tokens"): + to_encode.append(self.gen_empty_tokens(self.special_tokens, max_token_len)) + else: + to_encode.append(gen_empty_tokens(self.special_tokens, max_token_len)) + print(to_encode) + o = self.encode(to_encode) out, pooled = o[:2] diff --git a/comfy/text_encoders/pixart_t5.py b/comfy/text_encoders/pixart_t5.py index 22739cb53..d56d57f1b 100644 --- a/comfy/text_encoders/pixart_t5.py +++ b/comfy/text_encoders/pixart_t5.py @@ -3,14 +3,19 @@ import os from comfy import sd1_clip import comfy.text_encoders.t5 import comfy.text_encoders.sd3_clip +from comfy.sd1_clip import gen_empty_tokens from transformers import T5TokenizerFast class T5XXLModel(comfy.text_encoders.sd3_clip.T5XXLModel): def __init__(self, **kwargs): super().__init__(**kwargs) - # TODO: hacky, should adjust new empty logic instead to make weights work - self.special_tokens.pop("end") + + def gen_empty_tokens(self, special_tokens, *args, **kwargs): + # PixArt expects the negative to be all pad tokens + special_tokens = special_tokens.copy() + special_tokens.pop("end") + return gen_empty_tokens(special_tokens, *args, **kwargs) class PixArtT5XXL(sd1_clip.SD1ClipModel): def __init__(self, device="cpu", dtype=None, model_options={}): @@ -25,7 +30,6 @@ class PixArtTokenizer(sd1_clip.SD1Tokenizer): def __init__(self, embedding_directory=None, tokenizer_data={}): super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="t5xxl", tokenizer=T5XXLTokenizer) -# TODO: don't duplicate this? def pixart_te(dtype_t5=None, t5xxl_scaled_fp8=None): class PixArtTEModel_(PixArtT5XXL): def __init__(self, device="cpu", dtype=None, model_options={}):