update examples

examples/prompt_magic/qwen_prompt_refining.py

@@ -0,0 +1,27 @@
+from diffsynth import ModelManager, FluxImagePipeline, download_models, QwenPrompt
+import torch
+
+
+download_models(["FLUX.1-dev", "QwenPrompt"])
+
+model_manager = ModelManager(torch_dtype=torch.bfloat16, device="cuda")
+model_manager.load_models([
+    "models/FLUX/FLUX.1-dev/text_encoder/model.safetensors",
+    "models/FLUX/FLUX.1-dev/text_encoder_2",
+    "models/FLUX/FLUX.1-dev/ae.safetensors",
+    "models/FLUX/FLUX.1-dev/flux1-dev.safetensors",
+    "models/QwenPrompt/qwen2-1.5b-instruct",
+])
+pipe = FluxImagePipeline.from_model_manager(model_manager, prompt_refiner_classes=[QwenPrompt])
+
+prompt = "鹰"
+negative_prompt = ""
+
+for seed in range(4):
+    torch.manual_seed(seed)
+    image = pipe(
+        prompt=prompt, negative_prompt=negative_prompt,
+        height=1024, width=1024,
+        num_inference_steps=30
+    )
+    image.save(f"{seed}.jpg")