add qwen prompt refiner

examples/image_synthesis/qwen_prompt_refining.py

@@ -0,0 +1,30 @@
+from diffsynth import ModelManager, SDXLImagePipeline, download_models, QwenPrompt
+import torch
+
+
+# Download models (automatically)
+# `models/stable_diffusion_xl/sd_xl_base_1.0.safetensors`: [link](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors)
+# `models/BeautifulPrompt/pai-bloom-1b1-text2prompt-sd/`: [link](https://huggingface.co/alibaba-pai/pai-bloom-1b1-text2prompt-sd)
+# `models/translator/opus-mt-zh-en/`: [link](https://huggingface.co/Helsinki-NLP/opus-mt-en-zh)
+download_models(["StableDiffusionXL_v1", "QwenPrompt", "opus-mt-zh-en"])
+
+# Load models
+model_manager = ModelManager(torch_dtype=torch.float16, device="cuda")
+model_manager.load_models([
+    "models/stable_diffusion_xl/sd_xl_base_1.0.safetensors",
+    "models/QwenPrompt/qwen2-1.5b-instruct",
+    "models/translator/opus-mt-zh-en"
+])
+pipe = SDXLImagePipeline.from_model_manager(model_manager, prompt_refiner_classes=[QwenPrompt])
+
+prompt = "一个漂亮的女孩"
+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")