Update run_Transformers_t2i.py

run_Transformers_t2i.py

+import torch
+from modelscope import AutoModelForCausalLM, AutoTokenizer
+from decoder import decode_vq_tokens
+
+model_path = "inclusionAI/LLaDA2.0-Uni"
+tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(
+    model_path, device_map="cuda", torch_dtype="bfloat16", trust_remote_code=True
+).eval()
+model.tokenizer = tokenizer
+
+# Generate image tokens
+result = model.generate_image(
+    "A modern Scandinavian kitchen with white cabinetry, marble countertops, and a single orchid on the island. A Nordic woman with sleek blonde ponytail, wearing an oversized sweater and dainty silver necklaces, stirs a matcha bowl with a bamboo whisk, eyes sparkling with quiet joy. Shot with 50mm, f/2.5, diffused window light, cool white balance, low saturation, clean skin retouch. Mood: serene, wholesome, hygge.",
+    image_h=1024, image_w=1024,
+    steps=8, cfg_scale=2.0,
+)
+
+# Decode to PIL image (default: 50-step ODE)
+image = decode_vq_tokens(result["token_ids"], result["h"], result["w"], model_path, "cuda")
+image.save("output.png")