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import sd1_clip

import torch

import os

class SD2ClipModel(sd1_clip.SD1ClipModel):

def __init__(self, arch="ViT-H-14", device="cpu", max_length=77, freeze=True, layer="penultimate", layer_idx=None):

textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "sd2_clip_config.json")

super().__init__(device=device, freeze=freeze, textmodel_json_config=textmodel_json_config)

self.empty_tokens = [[49406] + [49407] + [0] * 75]

if layer == "last":

pass

elif layer == "penultimate":

layer_idx = -1

self.clip_layer(layer_idx)

elif self.layer == "hidden":

assert layer_idx is not None

assert abs(layer_idx) < 24

self.clip_layer(layer_idx)

else:

raise NotImplementedError()

def clip_layer(self, layer_idx):

if layer_idx < 0:

layer_idx -= 1 #The real last layer of SD2.x clip is the penultimate one. The last one might contain garbage.

if abs(layer_idx) >= 24:

self.layer = "hidden"

self.layer_idx = -2

else:

self.layer = "hidden"

self.layer_idx = layer_idx

class SD2Tokenizer(sd1_clip.SD1Tokenizer):

def __init__(self, tokenizer_path=None, embedding_directory=None):

super().__init__(tokenizer_path, pad_with_end=False, embedding_directory=embedding_directory)