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| import torch | |
| from transformers import T5EncoderModel, T5Config | |
| from .sd_text_encoder import SDTextEncoder | |
| from .sdxl_text_encoder import SDXLTextEncoder2, SDXLTextEncoder2StateDictConverter | |
| class SD3TextEncoder1(SDTextEncoder): | |
| def __init__(self, vocab_size=49408): | |
| super().__init__(vocab_size=vocab_size) | |
| def forward(self, input_ids, clip_skip=2): | |
| embeds = self.token_embedding(input_ids) + self.position_embeds | |
| attn_mask = self.attn_mask.to(device=embeds.device, dtype=embeds.dtype) | |
| for encoder_id, encoder in enumerate(self.encoders): | |
| embeds = encoder(embeds, attn_mask=attn_mask) | |
| if encoder_id + clip_skip == len(self.encoders): | |
| hidden_states = embeds | |
| embeds = self.final_layer_norm(embeds) | |
| pooled_embeds = embeds[torch.arange(embeds.shape[0]), input_ids.to(dtype=torch.int).argmax(dim=-1)] | |
| return pooled_embeds, hidden_states | |
| def state_dict_converter(self): | |
| return SD3TextEncoder1StateDictConverter() | |
| class SD3TextEncoder2(SDXLTextEncoder2): | |
| def __init__(self): | |
| super().__init__() | |
| def state_dict_converter(self): | |
| return SD3TextEncoder2StateDictConverter() | |
| class SD3TextEncoder3(T5EncoderModel): | |
| def __init__(self): | |
| config = T5Config( | |
| _name_or_path = ".", | |
| architectures = ["T5EncoderModel"], | |
| classifier_dropout = 0.0, | |
| d_ff = 10240, | |
| d_kv = 64, | |
| d_model = 4096, | |
| decoder_start_token_id = 0, | |
| dense_act_fn = "gelu_new", | |
| dropout_rate = 0.1, | |
| eos_token_id = 1, | |
| feed_forward_proj = "gated-gelu", | |
| initializer_factor = 1.0, | |
| is_encoder_decoder = True, | |
| is_gated_act = True, | |
| layer_norm_epsilon = 1e-06, | |
| model_type = "t5", | |
| num_decoder_layers = 24, | |
| num_heads = 64, | |
| num_layers = 24, | |
| output_past = True, | |
| pad_token_id = 0, | |
| relative_attention_max_distance = 128, | |
| relative_attention_num_buckets = 32, | |
| tie_word_embeddings = False, | |
| torch_dtype = torch.float16, | |
| transformers_version = "4.41.2", | |
| use_cache = True, | |
| vocab_size = 32128 | |
| ) | |
| super().__init__(config) | |
| self.eval() | |
| def forward(self, input_ids): | |
| outputs = super().forward(input_ids=input_ids) | |
| prompt_emb = outputs.last_hidden_state | |
| return prompt_emb | |
| def state_dict_converter(self): | |
| return SD3TextEncoder3StateDictConverter() | |
| class SD3TextEncoder1StateDictConverter: | |
| def __init__(self): | |
| pass | |
| def from_diffusers(self, state_dict): | |
| rename_dict = { | |
| "text_model.embeddings.token_embedding.weight": "token_embedding.weight", | |
| "text_model.embeddings.position_embedding.weight": "position_embeds", | |
| "text_model.final_layer_norm.weight": "final_layer_norm.weight", | |
| "text_model.final_layer_norm.bias": "final_layer_norm.bias", | |
| } | |
| attn_rename_dict = { | |
| "self_attn.q_proj": "attn.to_q", | |
| "self_attn.k_proj": "attn.to_k", | |
| "self_attn.v_proj": "attn.to_v", | |
| "self_attn.out_proj": "attn.to_out", | |
| "layer_norm1": "layer_norm1", | |
| "layer_norm2": "layer_norm2", | |
| "mlp.fc1": "fc1", | |
| "mlp.fc2": "fc2", | |
| } | |
| state_dict_ = {} | |
| for name in state_dict: | |
| if name in rename_dict: | |
| param = state_dict[name] | |
| if name == "text_model.embeddings.position_embedding.weight": | |
| param = param.reshape((1, param.shape[0], param.shape[1])) | |
| state_dict_[rename_dict[name]] = param | |
| elif name.startswith("text_model.encoder.layers."): | |
| param = state_dict[name] | |
| names = name.split(".") | |
| layer_id, layer_type, tail = names[3], ".".join(names[4:-1]), names[-1] | |
| name_ = ".".join(["encoders", layer_id, attn_rename_dict[layer_type], tail]) | |
| state_dict_[name_] = param | |
| return state_dict_ | |
| def from_civitai(self, state_dict): | |
| rename_dict = { | |
| "text_encoders.clip_l.transformer.text_model.embeddings.position_embedding.weight": "position_embeds", | |
| "text_encoders.clip_l.transformer.text_model.embeddings.token_embedding.weight": "token_embedding.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.0.layer_norm1.bias": "encoders.0.layer_norm1.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.0.layer_norm1.weight": "encoders.0.layer_norm1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.0.layer_norm2.bias": "encoders.0.layer_norm2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.0.layer_norm2.weight": "encoders.0.layer_norm2.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.0.mlp.fc1.bias": "encoders.0.fc1.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.0.mlp.fc1.weight": "encoders.0.fc1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.0.mlp.fc2.bias": "encoders.0.fc2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.0.mlp.fc2.weight": "encoders.0.fc2.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.0.self_attn.k_proj.bias": "encoders.0.attn.to_k.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.0.self_attn.k_proj.weight": "encoders.0.attn.to_k.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.0.self_attn.out_proj.bias": "encoders.0.attn.to_out.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.0.self_attn.out_proj.weight": "encoders.0.attn.to_out.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.0.self_attn.q_proj.bias": "encoders.0.attn.to_q.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.0.self_attn.q_proj.weight": "encoders.0.attn.to_q.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.0.self_attn.v_proj.bias": "encoders.0.attn.to_v.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.0.self_attn.v_proj.weight": "encoders.0.attn.to_v.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.1.layer_norm1.bias": "encoders.1.layer_norm1.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.1.layer_norm1.weight": "encoders.1.layer_norm1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.1.layer_norm2.bias": "encoders.1.layer_norm2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.1.layer_norm2.weight": "encoders.1.layer_norm2.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.1.mlp.fc1.bias": "encoders.1.fc1.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.1.mlp.fc1.weight": "encoders.1.fc1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.1.mlp.fc2.bias": "encoders.1.fc2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.1.mlp.fc2.weight": "encoders.1.fc2.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.1.self_attn.k_proj.bias": "encoders.1.attn.to_k.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.1.self_attn.k_proj.weight": "encoders.1.attn.to_k.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.1.self_attn.out_proj.bias": "encoders.1.attn.to_out.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.1.self_attn.out_proj.weight": "encoders.1.attn.to_out.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.1.self_attn.q_proj.bias": "encoders.1.attn.to_q.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.1.self_attn.q_proj.weight": "encoders.1.attn.to_q.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.1.self_attn.v_proj.bias": "encoders.1.attn.to_v.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.1.self_attn.v_proj.weight": "encoders.1.attn.to_v.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.10.layer_norm1.bias": "encoders.10.layer_norm1.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.10.layer_norm1.weight": "encoders.10.layer_norm1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.10.layer_norm2.bias": "encoders.10.layer_norm2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.10.layer_norm2.weight": "encoders.10.layer_norm2.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.10.mlp.fc1.bias": "encoders.10.fc1.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.10.mlp.fc1.weight": "encoders.10.fc1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.10.mlp.fc2.bias": "encoders.10.fc2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.10.mlp.fc2.weight": "encoders.10.fc2.weight", | |
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| "text_encoders.clip_l.transformer.text_model.encoder.layers.10.self_attn.q_proj.weight": "encoders.10.attn.to_q.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.10.self_attn.v_proj.bias": "encoders.10.attn.to_v.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.10.self_attn.v_proj.weight": "encoders.10.attn.to_v.weight", | |
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| "text_encoders.clip_l.transformer.text_model.encoder.layers.11.layer_norm1.weight": "encoders.11.layer_norm1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.11.layer_norm2.bias": "encoders.11.layer_norm2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.11.layer_norm2.weight": "encoders.11.layer_norm2.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.11.mlp.fc1.bias": "encoders.11.fc1.bias", | |
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| "text_encoders.clip_l.transformer.text_model.encoder.layers.2.layer_norm2.bias": "encoders.2.layer_norm2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.2.layer_norm2.weight": "encoders.2.layer_norm2.weight", | |
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| "text_encoders.clip_l.transformer.text_model.encoder.layers.4.self_attn.q_proj.weight": "encoders.4.attn.to_q.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.4.self_attn.v_proj.bias": "encoders.4.attn.to_v.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.4.self_attn.v_proj.weight": "encoders.4.attn.to_v.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.5.layer_norm1.bias": "encoders.5.layer_norm1.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.5.layer_norm1.weight": "encoders.5.layer_norm1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.5.layer_norm2.bias": "encoders.5.layer_norm2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.5.layer_norm2.weight": "encoders.5.layer_norm2.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.5.mlp.fc1.bias": "encoders.5.fc1.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.5.mlp.fc1.weight": "encoders.5.fc1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.5.mlp.fc2.bias": "encoders.5.fc2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.5.mlp.fc2.weight": "encoders.5.fc2.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.5.self_attn.k_proj.bias": "encoders.5.attn.to_k.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.5.self_attn.k_proj.weight": "encoders.5.attn.to_k.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.5.self_attn.out_proj.bias": "encoders.5.attn.to_out.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.5.self_attn.out_proj.weight": "encoders.5.attn.to_out.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.5.self_attn.q_proj.bias": "encoders.5.attn.to_q.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.5.self_attn.q_proj.weight": "encoders.5.attn.to_q.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.5.self_attn.v_proj.bias": "encoders.5.attn.to_v.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.5.self_attn.v_proj.weight": "encoders.5.attn.to_v.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.6.layer_norm1.bias": "encoders.6.layer_norm1.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.6.layer_norm1.weight": "encoders.6.layer_norm1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.6.layer_norm2.bias": "encoders.6.layer_norm2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.6.layer_norm2.weight": "encoders.6.layer_norm2.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.6.mlp.fc1.bias": "encoders.6.fc1.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.6.mlp.fc1.weight": "encoders.6.fc1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.6.mlp.fc2.bias": "encoders.6.fc2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.6.mlp.fc2.weight": "encoders.6.fc2.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.6.self_attn.k_proj.bias": "encoders.6.attn.to_k.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.6.self_attn.k_proj.weight": "encoders.6.attn.to_k.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.6.self_attn.out_proj.bias": "encoders.6.attn.to_out.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.6.self_attn.out_proj.weight": "encoders.6.attn.to_out.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.6.self_attn.q_proj.bias": "encoders.6.attn.to_q.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.6.self_attn.q_proj.weight": "encoders.6.attn.to_q.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.6.self_attn.v_proj.bias": "encoders.6.attn.to_v.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.6.self_attn.v_proj.weight": "encoders.6.attn.to_v.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.7.layer_norm1.bias": "encoders.7.layer_norm1.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.7.layer_norm1.weight": "encoders.7.layer_norm1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.7.layer_norm2.bias": "encoders.7.layer_norm2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.7.layer_norm2.weight": "encoders.7.layer_norm2.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.7.mlp.fc1.bias": "encoders.7.fc1.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.7.mlp.fc1.weight": "encoders.7.fc1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.7.mlp.fc2.bias": "encoders.7.fc2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.7.mlp.fc2.weight": "encoders.7.fc2.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.7.self_attn.k_proj.bias": "encoders.7.attn.to_k.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.7.self_attn.k_proj.weight": "encoders.7.attn.to_k.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.7.self_attn.out_proj.bias": "encoders.7.attn.to_out.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.7.self_attn.out_proj.weight": "encoders.7.attn.to_out.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.7.self_attn.q_proj.bias": "encoders.7.attn.to_q.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.7.self_attn.q_proj.weight": "encoders.7.attn.to_q.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.7.self_attn.v_proj.bias": "encoders.7.attn.to_v.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.7.self_attn.v_proj.weight": "encoders.7.attn.to_v.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.8.layer_norm1.bias": "encoders.8.layer_norm1.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.8.layer_norm1.weight": "encoders.8.layer_norm1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.8.layer_norm2.bias": "encoders.8.layer_norm2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.8.layer_norm2.weight": "encoders.8.layer_norm2.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.8.mlp.fc1.bias": "encoders.8.fc1.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.8.mlp.fc1.weight": "encoders.8.fc1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.8.mlp.fc2.bias": "encoders.8.fc2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.8.mlp.fc2.weight": "encoders.8.fc2.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.8.self_attn.k_proj.bias": "encoders.8.attn.to_k.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.8.self_attn.k_proj.weight": "encoders.8.attn.to_k.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.8.self_attn.out_proj.bias": "encoders.8.attn.to_out.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.8.self_attn.out_proj.weight": "encoders.8.attn.to_out.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.8.self_attn.q_proj.bias": "encoders.8.attn.to_q.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.8.self_attn.q_proj.weight": "encoders.8.attn.to_q.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.8.self_attn.v_proj.bias": "encoders.8.attn.to_v.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.8.self_attn.v_proj.weight": "encoders.8.attn.to_v.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.9.layer_norm1.bias": "encoders.9.layer_norm1.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.9.layer_norm1.weight": "encoders.9.layer_norm1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.9.layer_norm2.bias": "encoders.9.layer_norm2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.9.layer_norm2.weight": "encoders.9.layer_norm2.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.9.mlp.fc1.bias": "encoders.9.fc1.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.9.mlp.fc1.weight": "encoders.9.fc1.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.9.mlp.fc2.bias": "encoders.9.fc2.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.9.mlp.fc2.weight": "encoders.9.fc2.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.k_proj.bias": "encoders.9.attn.to_k.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.k_proj.weight": "encoders.9.attn.to_k.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.out_proj.bias": "encoders.9.attn.to_out.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.out_proj.weight": "encoders.9.attn.to_out.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.q_proj.bias": "encoders.9.attn.to_q.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.q_proj.weight": "encoders.9.attn.to_q.weight", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.v_proj.bias": "encoders.9.attn.to_v.bias", | |
| "text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.v_proj.weight": "encoders.9.attn.to_v.weight", | |
| "text_encoders.clip_l.transformer.text_model.final_layer_norm.bias": "final_layer_norm.bias", | |
| "text_encoders.clip_l.transformer.text_model.final_layer_norm.weight": "final_layer_norm.weight", | |
| } | |
| state_dict_ = {} | |
| for name in state_dict: | |
| if name in rename_dict: | |
| param = state_dict[name] | |
| if name == "text_encoders.clip_l.transformer.text_model.embeddings.position_embedding.weight": | |
| param = param.reshape((1, param.shape[0], param.shape[1])) | |
| state_dict_[rename_dict[name]] = param | |
| return state_dict_ | |
| class SD3TextEncoder2StateDictConverter(SDXLTextEncoder2StateDictConverter): | |
| def __init__(self): | |
| pass | |
| def from_diffusers(self, state_dict): | |
| return super().from_diffusers(state_dict) | |
| def from_civitai(self, state_dict): | |
| rename_dict = { | |
| "text_encoders.clip_g.transformer.text_model.embeddings.position_embedding.weight": "position_embeds", | |
| "text_encoders.clip_g.transformer.text_model.embeddings.token_embedding.weight": "token_embedding.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.0.layer_norm1.bias": "encoders.0.layer_norm1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.0.layer_norm1.weight": "encoders.0.layer_norm1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.0.layer_norm2.bias": "encoders.0.layer_norm2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.0.layer_norm2.weight": "encoders.0.layer_norm2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.0.mlp.fc1.bias": "encoders.0.fc1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.0.mlp.fc1.weight": "encoders.0.fc1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.0.mlp.fc2.bias": "encoders.0.fc2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.0.mlp.fc2.weight": "encoders.0.fc2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.0.self_attn.k_proj.bias": "encoders.0.attn.to_k.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.0.self_attn.k_proj.weight": "encoders.0.attn.to_k.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.0.self_attn.out_proj.bias": "encoders.0.attn.to_out.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.0.self_attn.out_proj.weight": "encoders.0.attn.to_out.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.0.self_attn.q_proj.bias": "encoders.0.attn.to_q.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.0.self_attn.q_proj.weight": "encoders.0.attn.to_q.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.0.self_attn.v_proj.bias": "encoders.0.attn.to_v.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.0.self_attn.v_proj.weight": "encoders.0.attn.to_v.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.1.layer_norm1.bias": "encoders.1.layer_norm1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.1.layer_norm1.weight": "encoders.1.layer_norm1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.1.layer_norm2.bias": "encoders.1.layer_norm2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.1.layer_norm2.weight": "encoders.1.layer_norm2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.1.mlp.fc1.bias": "encoders.1.fc1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.1.mlp.fc1.weight": "encoders.1.fc1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.1.mlp.fc2.bias": "encoders.1.fc2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.1.mlp.fc2.weight": "encoders.1.fc2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.1.self_attn.k_proj.bias": "encoders.1.attn.to_k.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.1.self_attn.k_proj.weight": "encoders.1.attn.to_k.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.1.self_attn.out_proj.bias": "encoders.1.attn.to_out.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.1.self_attn.out_proj.weight": "encoders.1.attn.to_out.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.1.self_attn.q_proj.bias": "encoders.1.attn.to_q.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.1.self_attn.q_proj.weight": "encoders.1.attn.to_q.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.1.self_attn.v_proj.bias": "encoders.1.attn.to_v.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.1.self_attn.v_proj.weight": "encoders.1.attn.to_v.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.10.layer_norm1.bias": "encoders.10.layer_norm1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.10.layer_norm1.weight": "encoders.10.layer_norm1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.10.layer_norm2.bias": "encoders.10.layer_norm2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.10.layer_norm2.weight": "encoders.10.layer_norm2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.10.mlp.fc1.bias": "encoders.10.fc1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.10.mlp.fc1.weight": "encoders.10.fc1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.10.mlp.fc2.bias": "encoders.10.fc2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.10.mlp.fc2.weight": "encoders.10.fc2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.10.self_attn.k_proj.bias": "encoders.10.attn.to_k.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.10.self_attn.k_proj.weight": "encoders.10.attn.to_k.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.10.self_attn.out_proj.bias": "encoders.10.attn.to_out.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.10.self_attn.out_proj.weight": "encoders.10.attn.to_out.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.10.self_attn.q_proj.bias": "encoders.10.attn.to_q.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.10.self_attn.q_proj.weight": "encoders.10.attn.to_q.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.10.self_attn.v_proj.bias": "encoders.10.attn.to_v.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.10.self_attn.v_proj.weight": "encoders.10.attn.to_v.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.11.layer_norm1.bias": "encoders.11.layer_norm1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.11.layer_norm1.weight": "encoders.11.layer_norm1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.11.layer_norm2.bias": "encoders.11.layer_norm2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.11.layer_norm2.weight": "encoders.11.layer_norm2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.11.mlp.fc1.bias": "encoders.11.fc1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.11.mlp.fc1.weight": "encoders.11.fc1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.11.mlp.fc2.bias": "encoders.11.fc2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.11.mlp.fc2.weight": "encoders.11.fc2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.11.self_attn.k_proj.bias": "encoders.11.attn.to_k.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.11.self_attn.k_proj.weight": "encoders.11.attn.to_k.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.11.self_attn.out_proj.bias": "encoders.11.attn.to_out.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.11.self_attn.out_proj.weight": "encoders.11.attn.to_out.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.11.self_attn.q_proj.bias": "encoders.11.attn.to_q.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.11.self_attn.q_proj.weight": "encoders.11.attn.to_q.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.11.self_attn.v_proj.bias": "encoders.11.attn.to_v.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.11.self_attn.v_proj.weight": "encoders.11.attn.to_v.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.12.layer_norm1.bias": "encoders.12.layer_norm1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.12.layer_norm1.weight": "encoders.12.layer_norm1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.12.layer_norm2.bias": "encoders.12.layer_norm2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.12.layer_norm2.weight": "encoders.12.layer_norm2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.12.mlp.fc1.bias": "encoders.12.fc1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.12.mlp.fc1.weight": "encoders.12.fc1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.12.mlp.fc2.bias": "encoders.12.fc2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.12.mlp.fc2.weight": "encoders.12.fc2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.12.self_attn.k_proj.bias": "encoders.12.attn.to_k.bias", | |
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| "text_encoders.clip_g.transformer.text_model.encoder.layers.3.self_attn.q_proj.weight": "encoders.3.attn.to_q.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.3.self_attn.v_proj.bias": "encoders.3.attn.to_v.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.3.self_attn.v_proj.weight": "encoders.3.attn.to_v.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.30.layer_norm1.bias": "encoders.30.layer_norm1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.30.layer_norm1.weight": "encoders.30.layer_norm1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.30.layer_norm2.bias": "encoders.30.layer_norm2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.30.layer_norm2.weight": "encoders.30.layer_norm2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.30.mlp.fc1.bias": "encoders.30.fc1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.30.mlp.fc1.weight": "encoders.30.fc1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.30.mlp.fc2.bias": "encoders.30.fc2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.30.mlp.fc2.weight": "encoders.30.fc2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.30.self_attn.k_proj.bias": "encoders.30.attn.to_k.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.30.self_attn.k_proj.weight": "encoders.30.attn.to_k.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.30.self_attn.out_proj.bias": "encoders.30.attn.to_out.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.30.self_attn.out_proj.weight": "encoders.30.attn.to_out.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.30.self_attn.q_proj.bias": "encoders.30.attn.to_q.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.30.self_attn.q_proj.weight": "encoders.30.attn.to_q.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.30.self_attn.v_proj.bias": "encoders.30.attn.to_v.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.30.self_attn.v_proj.weight": "encoders.30.attn.to_v.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.31.layer_norm1.bias": "encoders.31.layer_norm1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.31.layer_norm1.weight": "encoders.31.layer_norm1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.31.layer_norm2.bias": "encoders.31.layer_norm2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.31.layer_norm2.weight": "encoders.31.layer_norm2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.31.mlp.fc1.bias": "encoders.31.fc1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.31.mlp.fc1.weight": "encoders.31.fc1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.31.mlp.fc2.bias": "encoders.31.fc2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.31.mlp.fc2.weight": "encoders.31.fc2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.31.self_attn.k_proj.bias": "encoders.31.attn.to_k.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.31.self_attn.k_proj.weight": "encoders.31.attn.to_k.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.31.self_attn.out_proj.bias": "encoders.31.attn.to_out.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.31.self_attn.out_proj.weight": "encoders.31.attn.to_out.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.31.self_attn.q_proj.bias": "encoders.31.attn.to_q.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.31.self_attn.q_proj.weight": "encoders.31.attn.to_q.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.31.self_attn.v_proj.bias": "encoders.31.attn.to_v.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.31.self_attn.v_proj.weight": "encoders.31.attn.to_v.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.4.layer_norm1.bias": "encoders.4.layer_norm1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.4.layer_norm1.weight": "encoders.4.layer_norm1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.4.layer_norm2.bias": "encoders.4.layer_norm2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.4.layer_norm2.weight": "encoders.4.layer_norm2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.4.mlp.fc1.bias": "encoders.4.fc1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.4.mlp.fc1.weight": "encoders.4.fc1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.4.mlp.fc2.bias": "encoders.4.fc2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.4.mlp.fc2.weight": "encoders.4.fc2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.4.self_attn.k_proj.bias": "encoders.4.attn.to_k.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.4.self_attn.k_proj.weight": "encoders.4.attn.to_k.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.4.self_attn.out_proj.bias": "encoders.4.attn.to_out.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.4.self_attn.out_proj.weight": "encoders.4.attn.to_out.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.4.self_attn.q_proj.bias": "encoders.4.attn.to_q.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.4.self_attn.q_proj.weight": "encoders.4.attn.to_q.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.4.self_attn.v_proj.bias": "encoders.4.attn.to_v.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.4.self_attn.v_proj.weight": "encoders.4.attn.to_v.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.5.layer_norm1.bias": "encoders.5.layer_norm1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.5.layer_norm1.weight": "encoders.5.layer_norm1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.5.layer_norm2.bias": "encoders.5.layer_norm2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.5.layer_norm2.weight": "encoders.5.layer_norm2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.5.mlp.fc1.bias": "encoders.5.fc1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.5.mlp.fc1.weight": "encoders.5.fc1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.5.mlp.fc2.bias": "encoders.5.fc2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.5.mlp.fc2.weight": "encoders.5.fc2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.5.self_attn.k_proj.bias": "encoders.5.attn.to_k.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.5.self_attn.k_proj.weight": "encoders.5.attn.to_k.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.5.self_attn.out_proj.bias": "encoders.5.attn.to_out.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.5.self_attn.out_proj.weight": "encoders.5.attn.to_out.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.5.self_attn.q_proj.bias": "encoders.5.attn.to_q.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.5.self_attn.q_proj.weight": "encoders.5.attn.to_q.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.5.self_attn.v_proj.bias": "encoders.5.attn.to_v.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.5.self_attn.v_proj.weight": "encoders.5.attn.to_v.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.6.layer_norm1.bias": "encoders.6.layer_norm1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.6.layer_norm1.weight": "encoders.6.layer_norm1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.6.layer_norm2.bias": "encoders.6.layer_norm2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.6.layer_norm2.weight": "encoders.6.layer_norm2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.6.mlp.fc1.bias": "encoders.6.fc1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.6.mlp.fc1.weight": "encoders.6.fc1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.6.mlp.fc2.bias": "encoders.6.fc2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.6.mlp.fc2.weight": "encoders.6.fc2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.6.self_attn.k_proj.bias": "encoders.6.attn.to_k.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.6.self_attn.k_proj.weight": "encoders.6.attn.to_k.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.6.self_attn.out_proj.bias": "encoders.6.attn.to_out.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.6.self_attn.out_proj.weight": "encoders.6.attn.to_out.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.6.self_attn.q_proj.bias": "encoders.6.attn.to_q.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.6.self_attn.q_proj.weight": "encoders.6.attn.to_q.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.6.self_attn.v_proj.bias": "encoders.6.attn.to_v.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.6.self_attn.v_proj.weight": "encoders.6.attn.to_v.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.7.layer_norm1.bias": "encoders.7.layer_norm1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.7.layer_norm1.weight": "encoders.7.layer_norm1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.7.layer_norm2.bias": "encoders.7.layer_norm2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.7.layer_norm2.weight": "encoders.7.layer_norm2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.7.mlp.fc1.bias": "encoders.7.fc1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.7.mlp.fc1.weight": "encoders.7.fc1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.7.mlp.fc2.bias": "encoders.7.fc2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.7.mlp.fc2.weight": "encoders.7.fc2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.7.self_attn.k_proj.bias": "encoders.7.attn.to_k.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.7.self_attn.k_proj.weight": "encoders.7.attn.to_k.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.7.self_attn.out_proj.bias": "encoders.7.attn.to_out.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.7.self_attn.out_proj.weight": "encoders.7.attn.to_out.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.7.self_attn.q_proj.bias": "encoders.7.attn.to_q.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.7.self_attn.q_proj.weight": "encoders.7.attn.to_q.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.7.self_attn.v_proj.bias": "encoders.7.attn.to_v.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.7.self_attn.v_proj.weight": "encoders.7.attn.to_v.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.8.layer_norm1.bias": "encoders.8.layer_norm1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.8.layer_norm1.weight": "encoders.8.layer_norm1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.8.layer_norm2.bias": "encoders.8.layer_norm2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.8.layer_norm2.weight": "encoders.8.layer_norm2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.8.mlp.fc1.bias": "encoders.8.fc1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.8.mlp.fc1.weight": "encoders.8.fc1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.8.mlp.fc2.bias": "encoders.8.fc2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.8.mlp.fc2.weight": "encoders.8.fc2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.8.self_attn.k_proj.bias": "encoders.8.attn.to_k.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.8.self_attn.k_proj.weight": "encoders.8.attn.to_k.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.8.self_attn.out_proj.bias": "encoders.8.attn.to_out.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.8.self_attn.out_proj.weight": "encoders.8.attn.to_out.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.8.self_attn.q_proj.bias": "encoders.8.attn.to_q.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.8.self_attn.q_proj.weight": "encoders.8.attn.to_q.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.8.self_attn.v_proj.bias": "encoders.8.attn.to_v.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.8.self_attn.v_proj.weight": "encoders.8.attn.to_v.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.9.layer_norm1.bias": "encoders.9.layer_norm1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.9.layer_norm1.weight": "encoders.9.layer_norm1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.9.layer_norm2.bias": "encoders.9.layer_norm2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.9.layer_norm2.weight": "encoders.9.layer_norm2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.9.mlp.fc1.bias": "encoders.9.fc1.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.9.mlp.fc1.weight": "encoders.9.fc1.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.9.mlp.fc2.bias": "encoders.9.fc2.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.9.mlp.fc2.weight": "encoders.9.fc2.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.9.self_attn.k_proj.bias": "encoders.9.attn.to_k.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.9.self_attn.k_proj.weight": "encoders.9.attn.to_k.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.9.self_attn.out_proj.bias": "encoders.9.attn.to_out.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.9.self_attn.out_proj.weight": "encoders.9.attn.to_out.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.9.self_attn.q_proj.bias": "encoders.9.attn.to_q.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.9.self_attn.q_proj.weight": "encoders.9.attn.to_q.weight", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.9.self_attn.v_proj.bias": "encoders.9.attn.to_v.bias", | |
| "text_encoders.clip_g.transformer.text_model.encoder.layers.9.self_attn.v_proj.weight": "encoders.9.attn.to_v.weight", | |
| "text_encoders.clip_g.transformer.text_model.final_layer_norm.bias": "final_layer_norm.bias", | |
| "text_encoders.clip_g.transformer.text_model.final_layer_norm.weight": "final_layer_norm.weight", | |
| "text_encoders.clip_g.transformer.text_projection.weight": "text_projection.weight", | |
| } | |
| state_dict_ = {} | |
| for name in state_dict: | |
| if name in rename_dict: | |
| param = state_dict[name] | |
| if name == "text_encoders.clip_g.transformer.text_model.embeddings.position_embedding.weight": | |
| param = param.reshape((1, param.shape[0], param.shape[1])) | |
| state_dict_[rename_dict[name]] = param | |
| return state_dict_ | |
| class SD3TextEncoder3StateDictConverter(): | |
| def __init__(self): | |
| pass | |
| def from_diffusers(self, state_dict): | |
| state_dict_ = state_dict | |
| return state_dict_ | |
| def from_civitai(self, state_dict): | |
| prefix = "text_encoders.t5xxl.transformer." | |
| state_dict_ = {name[len(prefix):]: param for name, param in state_dict.items() if name.startswith(prefix)} | |
| if len(state_dict_) > 0: | |
| return self.from_diffusers(state_dict_) | |
| name_list = [ | |
| "encoder.block.0.layer.0.SelfAttention.k.weight", | |
| "encoder.block.0.layer.0.SelfAttention.o.weight", | |
| "encoder.block.0.layer.0.SelfAttention.q.weight", | |
| "encoder.block.0.layer.0.SelfAttention.relative_attention_bias.weight", | |
| "encoder.block.0.layer.0.SelfAttention.v.weight", | |
| "encoder.block.0.layer.0.layer_norm.weight", | |
| "encoder.block.0.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.0.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.0.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.0.layer.1.layer_norm.weight", | |
| "encoder.block.1.layer.0.SelfAttention.k.weight", | |
| "encoder.block.1.layer.0.SelfAttention.o.weight", | |
| "encoder.block.1.layer.0.SelfAttention.q.weight", | |
| "encoder.block.1.layer.0.SelfAttention.v.weight", | |
| "encoder.block.1.layer.0.layer_norm.weight", | |
| "encoder.block.1.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.1.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.1.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.1.layer.1.layer_norm.weight", | |
| "encoder.block.10.layer.0.SelfAttention.k.weight", | |
| "encoder.block.10.layer.0.SelfAttention.o.weight", | |
| "encoder.block.10.layer.0.SelfAttention.q.weight", | |
| "encoder.block.10.layer.0.SelfAttention.v.weight", | |
| "encoder.block.10.layer.0.layer_norm.weight", | |
| "encoder.block.10.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.10.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.10.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.10.layer.1.layer_norm.weight", | |
| "encoder.block.11.layer.0.SelfAttention.k.weight", | |
| "encoder.block.11.layer.0.SelfAttention.o.weight", | |
| "encoder.block.11.layer.0.SelfAttention.q.weight", | |
| "encoder.block.11.layer.0.SelfAttention.v.weight", | |
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| "encoder.block.11.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.11.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.11.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.11.layer.1.layer_norm.weight", | |
| "encoder.block.12.layer.0.SelfAttention.k.weight", | |
| "encoder.block.12.layer.0.SelfAttention.o.weight", | |
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| "encoder.block.12.layer.0.layer_norm.weight", | |
| "encoder.block.12.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.12.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.12.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.12.layer.1.layer_norm.weight", | |
| "encoder.block.13.layer.0.SelfAttention.k.weight", | |
| "encoder.block.13.layer.0.SelfAttention.o.weight", | |
| "encoder.block.13.layer.0.SelfAttention.q.weight", | |
| "encoder.block.13.layer.0.SelfAttention.v.weight", | |
| "encoder.block.13.layer.0.layer_norm.weight", | |
| "encoder.block.13.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.13.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.13.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.13.layer.1.layer_norm.weight", | |
| "encoder.block.14.layer.0.SelfAttention.k.weight", | |
| "encoder.block.14.layer.0.SelfAttention.o.weight", | |
| "encoder.block.14.layer.0.SelfAttention.q.weight", | |
| "encoder.block.14.layer.0.SelfAttention.v.weight", | |
| "encoder.block.14.layer.0.layer_norm.weight", | |
| "encoder.block.14.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.14.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.14.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.14.layer.1.layer_norm.weight", | |
| "encoder.block.15.layer.0.SelfAttention.k.weight", | |
| "encoder.block.15.layer.0.SelfAttention.o.weight", | |
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| "encoder.block.15.layer.0.layer_norm.weight", | |
| "encoder.block.15.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.15.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.15.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.15.layer.1.layer_norm.weight", | |
| "encoder.block.16.layer.0.SelfAttention.k.weight", | |
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| "encoder.block.16.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.16.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.16.layer.1.DenseReluDense.wo.weight", | |
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| "encoder.block.17.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.17.layer.1.layer_norm.weight", | |
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| "encoder.block.18.layer.0.SelfAttention.o.weight", | |
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| "encoder.block.18.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.18.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.18.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.18.layer.1.layer_norm.weight", | |
| "encoder.block.19.layer.0.SelfAttention.k.weight", | |
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| "encoder.block.19.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.19.layer.1.layer_norm.weight", | |
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| "encoder.block.2.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.2.layer.1.layer_norm.weight", | |
| "encoder.block.20.layer.0.SelfAttention.k.weight", | |
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| "encoder.block.20.layer.1.DenseReluDense.wo.weight", | |
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| "encoder.block.21.layer.1.DenseReluDense.wo.weight", | |
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| "encoder.block.22.layer.0.SelfAttention.o.weight", | |
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| "encoder.block.22.layer.0.layer_norm.weight", | |
| "encoder.block.22.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.22.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.22.layer.1.DenseReluDense.wo.weight", | |
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| "encoder.block.23.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.23.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.23.layer.1.layer_norm.weight", | |
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| "encoder.block.3.layer.0.layer_norm.weight", | |
| "encoder.block.3.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.3.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.3.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.3.layer.1.layer_norm.weight", | |
| "encoder.block.4.layer.0.SelfAttention.k.weight", | |
| "encoder.block.4.layer.0.SelfAttention.o.weight", | |
| "encoder.block.4.layer.0.SelfAttention.q.weight", | |
| "encoder.block.4.layer.0.SelfAttention.v.weight", | |
| "encoder.block.4.layer.0.layer_norm.weight", | |
| "encoder.block.4.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.4.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.4.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.4.layer.1.layer_norm.weight", | |
| "encoder.block.5.layer.0.SelfAttention.k.weight", | |
| "encoder.block.5.layer.0.SelfAttention.o.weight", | |
| "encoder.block.5.layer.0.SelfAttention.q.weight", | |
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| "encoder.block.5.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.5.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.5.layer.1.layer_norm.weight", | |
| "encoder.block.6.layer.0.SelfAttention.k.weight", | |
| "encoder.block.6.layer.0.SelfAttention.o.weight", | |
| "encoder.block.6.layer.0.SelfAttention.q.weight", | |
| "encoder.block.6.layer.0.SelfAttention.v.weight", | |
| "encoder.block.6.layer.0.layer_norm.weight", | |
| "encoder.block.6.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.6.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.6.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.6.layer.1.layer_norm.weight", | |
| "encoder.block.7.layer.0.SelfAttention.k.weight", | |
| "encoder.block.7.layer.0.SelfAttention.o.weight", | |
| "encoder.block.7.layer.0.SelfAttention.q.weight", | |
| "encoder.block.7.layer.0.SelfAttention.v.weight", | |
| "encoder.block.7.layer.0.layer_norm.weight", | |
| "encoder.block.7.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.7.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.7.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.7.layer.1.layer_norm.weight", | |
| "encoder.block.8.layer.0.SelfAttention.k.weight", | |
| "encoder.block.8.layer.0.SelfAttention.o.weight", | |
| "encoder.block.8.layer.0.SelfAttention.q.weight", | |
| "encoder.block.8.layer.0.SelfAttention.v.weight", | |
| "encoder.block.8.layer.0.layer_norm.weight", | |
| "encoder.block.8.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.8.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.8.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.8.layer.1.layer_norm.weight", | |
| "encoder.block.9.layer.0.SelfAttention.k.weight", | |
| "encoder.block.9.layer.0.SelfAttention.o.weight", | |
| "encoder.block.9.layer.0.SelfAttention.q.weight", | |
| "encoder.block.9.layer.0.SelfAttention.v.weight", | |
| "encoder.block.9.layer.0.layer_norm.weight", | |
| "encoder.block.9.layer.1.DenseReluDense.wi_0.weight", | |
| "encoder.block.9.layer.1.DenseReluDense.wi_1.weight", | |
| "encoder.block.9.layer.1.DenseReluDense.wo.weight", | |
| "encoder.block.9.layer.1.layer_norm.weight", | |
| "encoder.embed_tokens.weight", | |
| "encoder.final_layer_norm.weight", | |
| "shared.weight", | |
| ] | |
| state_dict_ = {} | |
| for name, param in state_dict.items(): | |
| if name in name_list: | |
| state_dict_[name] = param | |
| return state_dict_ | |