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Update longcat_image.py for edit model.

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Talmaj Marinc 2026-03-16 12:21:39 +01:00 committed by Talmaj Marinc
parent 7b308e22c1
commit d605edc6ef
1 changed files with 20 additions and 5 deletions
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25
comfy/text_encoders/longcat_image.py
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@ -64,7 +64,13 @@ class LongCatImageBaseTokenizer(Qwen25_7BVLITokenizer):
return [output]
IMAGE_PAD_TOKEN_ID = 151655
class LongCatImageTokenizer(sd1_clip.SD1Tokenizer):
T2I_PREFIX = "<|im_start|>system\nAs an image captioning expert, generate a descriptive text prompt based on an image content, suitable for input to a text-to-image model.<|im_end|>\n<|im_start|>user\n"
EDIT_PREFIX = "<|im_start|>system\nAs an image editing expert, first analyze the content and attributes of the input image(s). Then, based on the user's editing instructions, clearly and precisely determine how to modify the given image(s), ensuring that only the specified parts are altered and all other aspects remain consistent with the original(s).<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>"
SUFFIX = "<|im_end|>\n<|im_start|>assistant\n"
def __init__(self, embedding_directory=None, tokenizer_data={}):
super().__init__(
embedding_directory=embedding_directory,
@ -72,10 +78,8 @@ class LongCatImageTokenizer(sd1_clip.SD1Tokenizer):
name="qwen25_7b",
tokenizer=LongCatImageBaseTokenizer,
)
self.longcat_template_prefix = "<|im_start|>system\nAs an image captioning expert, generate a descriptive text prompt based on an image content, suitable for input to a text-to-image model.<|im_end|>\n<|im_start|>user\n"
self.longcat_template_suffix = "<|im_end|>\n<|im_start|>assistant\n"
def tokenize_with_weights(self, text, return_word_ids=False, **kwargs):
def tokenize_with_weights(self, text, return_word_ids=False, images=None, **kwargs):
skip_template = False
if text.startswith("<|im_start|>"):
skip_template = True
@ -90,11 +94,14 @@ class LongCatImageTokenizer(sd1_clip.SD1Tokenizer):
text, return_word_ids=return_word_ids, disable_weights=True, **kwargs
)
else:
has_images = images is not None and len(images) > 0
template_prefix = self.EDIT_PREFIX if has_images else self.T2I_PREFIX
prefix_ids = base_tok.tokenizer(
self.longcat_template_prefix, add_special_tokens=False
template_prefix, add_special_tokens=False
)["input_ids"]
suffix_ids = base_tok.tokenizer(
self.longcat_template_suffix, add_special_tokens=False
self.SUFFIX, add_special_tokens=False
)["input_ids"]
prompt_tokens = base_tok.tokenize_with_weights(
@ -106,6 +113,14 @@ class LongCatImageTokenizer(sd1_clip.SD1Tokenizer):
suffix_pairs = [(t, 1.0) for t in suffix_ids]
combined = prefix_pairs + prompt_pairs + suffix_pairs
if has_images:
embed_count = 0
for i in range(len(combined)):
if combined[i][0] == IMAGE_PAD_TOKEN_ID and embed_count < len(images):
combined[i] = ({"type": "image", "data": images[embed_count], "original_type": "image"}, combined[i][1])
embed_count += 1
tokens = {"qwen25_7b": [combined]}
return tokens