Upload qwen-image.py

qwen-image.py

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+from modelscope import DiffusionPipeline
+import torch
+
+model_name = "/app/model/Qwen-Image-bf16"
+
+# Load the pipeline
+if torch.cuda.is_available():
+    torch_dtype = torch.float8_e4m3fn
+    device = "cuda"
+else:
+    torch_dtype = torch.float32
+    device = "cpu"
+
+pipe = DiffusionPipeline.from_pretrained(model_name)
+pipe = pipe.to(device)
+
+pipe.enable_model_cpu_offload()
+
+positive_magic = "Ultra HD, 4K, cinematic composition." # for english prompt
+# positive_magic = "超清，4K，电影级构图" # for chinese prompt
+
+# Generate image
+prompt = '''A coffee shop entrance features a chalkboard sign reading "Qwen Coffee 😊 $2 per cup," with a neon light beside it displaying "通义千问". Next to it hangs a poster showing a beautiful Chinese woman, and beneath the poster is written "π≈3.1415926-53589793-23846264-33832795-02384197". Ultra HD, 4K, cinematic composition'''
+
+negative_prompt = " "
+
+
+# Generate with different aspect ratios
+aspect_ratios = {
+    "1:1": (1328, 1328),
+    "16:9": (1664, 928),
+    "9:16": (928, 1664),
+    "4:3": (1472, 1140),
+    "3:4": (1140, 1472)
+}
+
+width, height = aspect_ratios["16:9"]
+
+image = pipe(
+    prompt=prompt + positive_magic,
+    width=512,
+    height=512,
+    num_inference_steps=50,
+    true_cfg_scale=4.0,
+    generator=torch.Generator(device="cuda").manual_seed(42)
+).images[0]
+
+image.save("example.png")