DiffSynth-Studio 2.0 major update

diffsynth/models/z_image_text_encoder.py

@@ -0,0 +1,41 @@
+from transformers import Qwen3Model, Qwen3Config
+import torch
+
+
+class ZImageTextEncoder(torch.nn.Module):
+    def __init__(self):
+        super().__init__()
+        config = Qwen3Config(**{
+            "architectures": [
+                "Qwen3ForCausalLM"
+            ],
+            "attention_bias": False,
+            "attention_dropout": 0.0,
+            "bos_token_id": 151643,
+            "eos_token_id": 151645,
+            "head_dim": 128,
+            "hidden_act": "silu",
+            "hidden_size": 2560,
+            "initializer_range": 0.02,
+            "intermediate_size": 9728,
+            "max_position_embeddings": 40960,
+            "max_window_layers": 36,
+            "model_type": "qwen3",
+            "num_attention_heads": 32,
+            "num_hidden_layers": 36,
+            "num_key_value_heads": 8,
+            "rms_norm_eps": 1e-06,
+            "rope_scaling": None,
+            "rope_theta": 1000000,
+            "sliding_window": None,
+            "tie_word_embeddings": True,
+            "torch_dtype": "bfloat16",
+            "transformers_version": "4.51.0",
+            "use_cache": True,
+            "use_sliding_window": False,
+            "vocab_size": 151936
+        })
+        self.model = Qwen3Model(config)
+    
+    def forward(self, *args, **kwargs):
+        return self.model(*args, **kwargs)